train_eval.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3b4298af",
   "metadata": {},
   "source": [
    "# Verify Waymo Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f1985106",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0-of-10.tfrecord  3-of-10.tfrecord  6-of-10.tfrecord  9-of-10.tfrecord\n",
      "1-of-10.tfrecord  4-of-10.tfrecord  7-of-10.tfrecord\n",
      "2-of-10.tfrecord  5-of-10.tfrecord  8-of-10.tfrecord\n"
     ]
    }
   ],
   "source": [
    "!ls waymo_data_v120/training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5590e19f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0-of-10.tfrecord  3-of-10.tfrecord  6-of-10.tfrecord  9-of-10.tfrecord\n",
      "1-of-10.tfrecord  4-of-10.tfrecord  7-of-10.tfrecord\n",
      "2-of-10.tfrecord  5-of-10.tfrecord  8-of-10.tfrecord\n"
     ]
    }
   ],
   "source": [
    "!ls waymo_data_v120/validation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f56efbf",
   "metadata": {},
   "source": [
    "# Download Model from Tensorflow 2 Model Zoo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "bdbf6dda",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2021-04-02 20:38:06--  http://download.tensorflow.org/models/object_detection/tf2/20200711/efficientdet_d4_coco17_tpu-32.tar.gz\n",
      "Resolving download.tensorflow.org (download.tensorflow.org)... 2607:f8b0:4005:805::2010, 216.58.194.208\n",
      "Connecting to download.tensorflow.org (download.tensorflow.org)|2607:f8b0:4005:805::2010|:80... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 158496448 (151M) [application/x-tar]\n",
      "Saving to: ‘efficientdet_d4_coco17_tpu-32.tar.gz’\n",
      "\n",
      "efficientdet_d4_coc 100%[===================>] 151.15M  10.1MB/s    in 15s     \n",
      "\n",
      "2021-04-02 20:38:21 (10.1 MB/s) - ‘efficientdet_d4_coco17_tpu-32.tar.gz’ saved [158496448/158496448]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget http://download.tensorflow.org/models/object_detection/tf2/20200711/efficientdet_d4_coco17_tpu-32.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f70941e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "!tar -xf efficientdet_d4_coco17_tpu-32.tar.gz"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f276b685",
   "metadata": {},
   "source": [
    "# Configure Model/Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "dd7372dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "MODELS_CONFIG = {\n",
    "    'efficientdet_d7': {\n",
    "        'model_name': 'efficientdet_d7_coco17_tpu-32',\n",
    "        'base_pipeline_file': 'efficientdet_d7_coco17_tpu-32.config',\n",
    "        'pretrained_checkpoint': 'efficientdet_d7_coco17_tpu-32.tar.gz',\n",
    "        'batch_size':7\n",
    "    },\n",
    "    'efficientdet_d4': {\n",
    "        'model_name': 'efficientdet_d4_coco17_tpu-32',\n",
    "        'base_pipeline_file': 'efficientdet_d4_coco17_tpu-32.config',\n",
    "        'pretrained_checkpoint': 'efficientdet_d4_coco17_tpu-32.tar.gz',\n",
    "        'batch_size':14\n",
    "    }\n",
    "}\n",
    "\n",
    "chosen_model = 'efficientdet_d4'\n",
    "num_steps = 50000\n",
    "num_eval_steps = 500\n",
    "\n",
    "model_name = MODELS_CONFIG[chosen_model]['model_name']\n",
    "pretrained_checkpoint = MODELS_CONFIG[chosen_model]['pretrained_checkpoint']\n",
    "base_pipeline_file = MODELS_CONFIG[chosen_model]['base_pipeline_file']\n",
    "batch_size = MODELS_CONFIG[chosen_model]['batch_size']\n",
    "pipeline_fname = './'+ model_name + '/pipeline.config'\n",
    "fine_tune_checkpoint = './' + model_name + '/checkpoint/ckpt-0'\n",
    "label_map_pbtxt_fname = 'waymo_labelmap.txt'\n",
    "train_record_fname = \"./waymo_data_v120/training/*\"\n",
    "test_record_fname = \"./waymo_data_v120/validation/*\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7d149879",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_num_classes(pbtxt_fname):\n",
    "    from object_detection.utils import label_map_util\n",
    "    label_map = label_map_util.load_labelmap(pbtxt_fname)\n",
    "    categories = label_map_util.convert_label_map_to_categories(\n",
    "        label_map, max_num_classes=90, use_display_name=True)\n",
    "    category_index = label_map_util.create_category_index(categories)\n",
    "    return len(category_index.keys())\n",
    "num_classes = get_num_classes(label_map_pbtxt_fname)\n",
    "num_classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "dd613ff0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "writing custom configuration file\n"
     ]
    }
   ],
   "source": [
    "#write custom configuration file by slotting our dataset, model checkpoint, and training parameters into the base pipeline file\n",
    "\n",
    "import re\n",
    "print('writing custom configuration file')\n",
    "\n",
    "with open(pipeline_fname) as f:\n",
    "    s = f.read()\n",
    "with open('pipeline_file.config', 'w') as f:\n",
    "    \n",
    "    # fine_tune_checkpoint\n",
    "    s = re.sub('fine_tune_checkpoint: \".*?\"',\n",
    "               'fine_tune_checkpoint: \"{}\"'.format(fine_tune_checkpoint), s)\n",
    "    \n",
    "    # tfrecord files train and test.\n",
    "    s = re.sub(\n",
    "        '(input_path: \".*?)(PATH_TO_BE_CONFIGURED/train)(.*?\")', 'input_path: \"{}\"'.format(train_record_fname), s)\n",
    "    s = re.sub(\n",
    "        '(input_path: \".*?)(PATH_TO_BE_CONFIGURED/val)(.*?\")', 'input_path: \"{}\"'.format(test_record_fname), s)\n",
    "\n",
    "    # label_map_path\n",
    "    s = re.sub(\n",
    "        'label_map_path: \".*?\"', 'label_map_path: \"{}\"'.format(label_map_pbtxt_fname), s)\n",
    "\n",
    "    # Set training batch_size.\n",
    "    s = re.sub('batch_size: [0-9]+',\n",
    "               'batch_size: {}'.format(batch_size), s)\n",
    "\n",
    "    # Set training steps, num_steps\n",
    "    s = re.sub('num_steps: [0-9]+',\n",
    "               'num_steps: {}'.format(num_steps), s)\n",
    "    \n",
    "    # Set number of classes num_classes.\n",
    "    s = re.sub('num_classes: [0-9]+',\n",
    "               'num_classes: {}'.format(num_classes), s)\n",
    "    \n",
    "    #fine-tune checkpoint type\n",
    "    s = re.sub(\n",
    "        'fine_tune_checkpoint_type: \"classification\"', 'fine_tune_checkpoint_type: \"{}\"'.format('detection'), s)\n",
    "        \n",
    "    f.write(s)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cf8eb0b",
   "metadata": {},
   "source": [
    "# Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cd6bf7cb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-04-02 20:56:34.999545: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-02 20:56:36.262192: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set\n",
      "2021-04-02 20:56:36.262843: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1\n",
      "2021-04-02 20:56:36.322380: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: \n",
      "pciBusID: 0000:01:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:36.324155: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 1 with properties: \n",
      "pciBusID: 0000:02:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:36.325797: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 2 with properties: \n",
      "pciBusID: 0000:46:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:36.327435: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 3 with properties: \n",
      "pciBusID: 0000:81:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:36.329042: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 4 with properties: \n",
      "pciBusID: 0000:82:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:36.330664: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 5 with properties: \n",
      "pciBusID: 0000:c1:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:36.332335: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 6 with properties: \n",
      "pciBusID: 0000:c2:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:36.332354: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-02 20:56:36.334134: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11\n",
      "2021-04-02 20:56:36.334164: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11\n",
      "2021-04-02 20:56:36.334930: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10\n",
      "2021-04-02 20:56:36.335092: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10\n",
      "2021-04-02 20:56:36.336928: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10\n",
      "2021-04-02 20:56:36.337345: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11\n",
      "2021-04-02 20:56:36.337436: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8\n",
      "2021-04-02 20:56:36.360067: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0, 1, 2, 3, 4, 5, 6\n",
      "WARNING:tensorflow:From models/research/object_detection/model_main_tf2.py:102: _CollectiveAllReduceStrategyExperimental.__init__ (from tensorflow.python.distribute.collective_all_reduce_strategy) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "use distribute.MultiWorkerMirroredStrategy instead\n",
      "W0402 20:56:36.997777 139984567650112 deprecation.py:339] From models/research/object_detection/model_main_tf2.py:102: _CollectiveAllReduceStrategyExperimental.__init__ (from tensorflow.python.distribute.collective_all_reduce_strategy) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "use distribute.MultiWorkerMirroredStrategy instead\n",
      "2021-04-02 20:56:37.001424: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set\n",
      "2021-04-02 20:56:38.050564: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: \n",
      "pciBusID: 0000:01:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:38.052194: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 1 with properties: \n",
      "pciBusID: 0000:02:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:38.053805: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 2 with properties: \n",
      "pciBusID: 0000:46:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:38.055440: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 3 with properties: \n",
      "pciBusID: 0000:81:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:38.057053: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 4 with properties: \n",
      "pciBusID: 0000:82:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:38.058687: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 5 with properties: \n",
      "pciBusID: 0000:c1:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:38.060309: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 6 with properties: \n",
      "pciBusID: 0000:c2:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-02 20:56:38.060337: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-02 20:56:38.060377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11\n",
      "2021-04-02 20:56:38.060388: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11\n",
      "2021-04-02 20:56:38.060400: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10\n",
      "2021-04-02 20:56:38.060411: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10\n",
      "2021-04-02 20:56:38.060421: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10\n",
      "2021-04-02 20:56:38.060432: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11\n",
      "2021-04-02 20:56:38.060443: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8\n",
      "2021-04-02 20:56:38.082743: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0, 1, 2, 3, 4, 5, 6\n",
      "2021-04-02 20:56:38.082779: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-02 20:56:40.582370: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
      "2021-04-02 20:56:40.582416: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 1 2 3 4 5 6 \n",
      "2021-04-02 20:56:40.582424: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N Y Y Y Y Y Y \n",
      "2021-04-02 20:56:40.582428: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 1:   Y N Y Y Y Y Y \n",
      "2021-04-02 20:56:40.582432: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 2:   Y Y N Y Y Y Y \n",
      "2021-04-02 20:56:40.582437: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 3:   Y Y Y N Y Y Y \n",
      "2021-04-02 20:56:40.582441: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 4:   Y Y Y Y N Y Y \n",
      "2021-04-02 20:56:40.582458: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 5:   Y Y Y Y Y N Y \n",
      "2021-04-02 20:56:40.582465: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 6:   Y Y Y Y Y Y N \n",
      "2021-04-02 20:56:40.597317: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 29692 MB memory) -> physical GPU (device: 0, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:01:00.0, compute capability: 7.0)\n",
      "2021-04-02 20:56:40.601202: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 29692 MB memory) -> physical GPU (device: 1, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:02:00.0, compute capability: 7.0)\n",
      "2021-04-02 20:56:40.604997: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:2 with 29692 MB memory) -> physical GPU (device: 2, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:46:00.0, compute capability: 7.0)\n",
      "2021-04-02 20:56:40.608807: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:3 with 29692 MB memory) -> physical GPU (device: 3, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:81:00.0, compute capability: 7.0)\n",
      "2021-04-02 20:56:40.612533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:4 with 29692 MB memory) -> physical GPU (device: 4, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:82:00.0, compute capability: 7.0)\n",
      "2021-04-02 20:56:40.616299: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:5 with 29692 MB memory) -> physical GPU (device: 5, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:c1:00.0, compute capability: 7.0)\n",
      "2021-04-02 20:56:40.619994: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:6 with 29692 MB memory) -> physical GPU (device: 6, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:c2:00.0, compute capability: 7.0)\n",
      "INFO:tensorflow:Using MirroredStrategy with devices ('/device:GPU:0', '/device:GPU:1', '/device:GPU:2', '/device:GPU:3', '/device:GPU:4', '/device:GPU:5', '/device:GPU:6')\n",
      "I0402 20:56:40.624631 139984567650112 mirrored_strategy.py:350] Using MirroredStrategy with devices ('/device:GPU:0', '/device:GPU:1', '/device:GPU:2', '/device:GPU:3', '/device:GPU:4', '/device:GPU:5', '/device:GPU:6')\n",
      "INFO:tensorflow:Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:GPU:0', '/device:GPU:1', '/device:GPU:2', '/device:GPU:3', '/device:GPU:4', '/device:GPU:5', '/device:GPU:6'), communication = CommunicationImplementation.AUTO\n",
      "I0402 20:56:40.624962 139984567650112 collective_all_reduce_strategy.py:404] Single-worker MultiWorkerMirroredStrategy with local_devices = ('/device:GPU:0', '/device:GPU:1', '/device:GPU:2', '/device:GPU:3', '/device:GPU:4', '/device:GPU:5', '/device:GPU:6'), communication = CommunicationImplementation.AUTO\n",
      "INFO:tensorflow:Maybe overwriting train_steps: None\n",
      "I0402 20:56:40.628287 139984567650112 config_util.py:552] Maybe overwriting train_steps: None\n",
      "INFO:tensorflow:Maybe overwriting use_bfloat16: False\n",
      "I0402 20:56:40.628354 139984567650112 config_util.py:552] Maybe overwriting use_bfloat16: False\n",
      "I0402 20:56:40.659101 139984567650112 ssd_efficientnet_bifpn_feature_extractor.py:143] EfficientDet EfficientNet backbone version: efficientnet-b4\n",
      "I0402 20:56:40.659198 139984567650112 ssd_efficientnet_bifpn_feature_extractor.py:144] EfficientDet BiFPN num filters: 224\n",
      "I0402 20:56:40.659358 139984567650112 ssd_efficientnet_bifpn_feature_extractor.py:146] EfficientDet BiFPN num iterations: 7\n",
      "I0402 20:56:40.664239 139984567650112 efficientnet_model.py:147] round_filter input=32 output=48\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:40.715586 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:40.729831 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:40.742505 139984567650112 efficientnet_model.py:147] round_filter input=32 output=48\n",
      "I0402 20:56:40.742566 139984567650112 efficientnet_model.py:147] round_filter input=16 output=24\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:40.786309 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:40.798584 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:40.882901 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:40.897915 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:40.949098 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:40.960849 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.042081 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.054621 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.069929 139984567650112 efficientnet_model.py:147] round_filter input=16 output=24\n",
      "I0402 20:56:41.069992 139984567650112 efficientnet_model.py:147] round_filter input=24 output=32\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.112075 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.124023 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.173367 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.184646 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.267629 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.281203 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.335422 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.347595 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.399670 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.414666 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.496000 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.507915 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.567053 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.579221 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.633835 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.646611 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.730853 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.741683 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.796556 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.810977 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.864837 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.879090 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.961218 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.975451 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:41.990822 139984567650112 efficientnet_model.py:147] round_filter input=24 output=32\n",
      "I0402 20:56:41.990886 139984567650112 efficientnet_model.py:147] round_filter input=40 output=56\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.034834 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.048566 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.102416 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.116350 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.197365 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.211782 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.264341 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.278853 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.335338 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.347338 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.431638 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.446298 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.501100 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.516783 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.570058 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.585525 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.671494 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.683459 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.738399 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.752103 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.806332 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.818934 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.910691 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.924798 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.940350 139984567650112 efficientnet_model.py:147] round_filter input=40 output=56\n",
      "I0402 20:56:42.940415 139984567650112 efficientnet_model.py:147] round_filter input=80 output=112\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.986101 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:42.998759 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.051830 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.065035 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.146834 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.159134 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.211916 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.226575 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.279474 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.295755 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.380522 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.393474 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.448402 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.462753 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.515572 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.530262 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.624439 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.636029 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.691222 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.706049 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.757444 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.771673 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.853860 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.868000 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.923083 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.938034 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:43.992107 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.006713 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.089931 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.103945 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.158727 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.171187 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.224488 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.239049 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.325611 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.339651 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.354899 139984567650112 efficientnet_model.py:147] round_filter input=80 output=112\n",
      "I0402 20:56:44.354964 139984567650112 efficientnet_model.py:147] round_filter input=112 output=160\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.396691 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.409675 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.465261 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.479587 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.565675 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.579676 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.754058 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.766623 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.821485 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.835679 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.922669 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.937988 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:44.993600 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.007760 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.060962 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.075516 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.160022 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.171984 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.226233 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.238650 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.292272 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.306651 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.396044 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.407160 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.462517 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.476120 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.528077 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.542850 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.629061 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.642251 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.699612 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.711841 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.763233 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.776535 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.861487 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.876231 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.892068 139984567650112 efficientnet_model.py:147] round_filter input=112 output=160\n",
      "I0402 20:56:45.892134 139984567650112 efficientnet_model.py:147] round_filter input=192 output=272\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.942157 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:45.954685 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.010913 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.024901 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.118869 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.132955 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.189585 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.203782 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.255010 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.270146 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.359029 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.372721 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.430475 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.443037 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.494964 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.508896 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.597859 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.610718 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.670679 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.684348 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.736107 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.750964 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.842474 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.853613 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.912499 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.927129 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:46.982226 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
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      "I0402 20:56:46.994747 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
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      "I0402 20:56:47.080419 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
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      "I0402 20:56:47.095031 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
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      "I0402 20:56:47.149206 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
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      "I0402 20:56:47.162217 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
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      "I0402 20:56:47.214207 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
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      "I0402 20:56:47.226998 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.313240 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.324790 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.381939 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.394786 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.447828 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.461237 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.548494 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.561713 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.618714 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.632343 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.682225 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.696249 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.781599 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.795819 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.811138 139984567650112 efficientnet_model.py:147] round_filter input=192 output=272\n",
      "I0402 20:56:47.811201 139984567650112 efficientnet_model.py:147] round_filter input=320 output=448\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.851381 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.863611 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:47.913934 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
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      "I0402 20:56:47.931781 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
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      "I0402 20:56:48.019457 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.030756 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.101829 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.115967 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.166423 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.180041 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.273663 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.284913 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.300016 139984567650112 efficientnet_model.py:147] round_filter input=1280 output=1792\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.342653 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.355056 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 20:56:48.390012 139984567650112 efficientnet_model.py:458] Building model efficientnet with params ModelConfig(width_coefficient=1.4, depth_coefficient=1.8, resolution=380, dropout_rate=0.4, blocks=(BlockConfig(input_filters=32, output_filters=16, kernel_size=3, num_repeat=1, expand_ratio=1, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=16, output_filters=24, kernel_size=3, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=24, output_filters=40, kernel_size=5, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=40, output_filters=80, kernel_size=3, num_repeat=3, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=80, output_filters=112, kernel_size=5, num_repeat=3, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=112, output_filters=192, kernel_size=5, num_repeat=4, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=192, output_filters=320, kernel_size=3, num_repeat=1, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise')), stem_base_filters=32, top_base_filters=1280, activation='simple_swish', batch_norm='default', bn_momentum=0.99, bn_epsilon=0.001, weight_decay=5e-06, drop_connect_rate=0.2, depth_divisor=8, min_depth=None, use_se=True, input_channels=3, num_classes=1000, model_name='efficientnet', rescale_input=False, data_format='channels_last', dtype='float32')\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/model_lib_v2.py:546: StrategyBase.experimental_distribute_datasets_from_function (from tensorflow.python.distribute.distribute_lib) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "rename to distribute_datasets_from_function\n",
      "W0402 20:56:48.458480 139984567650112 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/model_lib_v2.py:546: StrategyBase.experimental_distribute_datasets_from_function (from tensorflow.python.distribute.distribute_lib) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "rename to distribute_datasets_from_function\n",
      "INFO:tensorflow:Reading unweighted datasets: ['./waymo_data_v120/training/*']\n",
      "I0402 20:56:48.460878 139984567650112 dataset_builder.py:163] Reading unweighted datasets: ['./waymo_data_v120/training/*']\n",
      "INFO:tensorflow:Reading record datasets for input file: ['./waymo_data_v120/training/*']\n",
      "I0402 20:56:48.462628 139984567650112 dataset_builder.py:80] Reading record datasets for input file: ['./waymo_data_v120/training/*']\n",
      "INFO:tensorflow:Number of filenames to read: 10\n",
      "I0402 20:56:48.462694 139984567650112 dataset_builder.py:81] Number of filenames to read: 10\n",
      "WARNING:tensorflow:num_readers has been reduced to 10 to match input file shards.\n",
      "W0402 20:56:48.462734 139984567650112 dataset_builder.py:88] num_readers has been reduced to 10 to match input file shards.\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py:105: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.\n",
      "W0402 20:56:48.463716 139984567650112 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py:105: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py:237: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.data.Dataset.map()\n",
      "W0402 20:56:48.480308 139984567650112 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py:237: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.data.Dataset.map()\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/util/dispatch.py:201: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.\n",
      "W0402 20:56:54.061690 139984567650112 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/util/dispatch.py:201: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/inputs.py:282: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.cast` instead.\n",
      "W0402 20:56:57.365957 139984567650112 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/inputs.py:282: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.cast` instead.\n",
      "2021-04-02 20:56:59.180144: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)\n",
      "2021-04-02 20:56:59.202660: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500240000 Hz\n",
      "/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/keras/backend.py:434: UserWarning: `tf.keras.backend.set_learning_phase` is deprecated and will be removed after 2020-10-11. To update it, simply pass a True/False value to the `training` argument of the `__call__` method of your layer or model.\n",
      "  warnings.warn('`tf.keras.backend.set_learning_phase` is deprecated and '\n",
      "2021-04-02 21:00:46.909820: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11\n",
      "2021-04-02 21:00:47.192544: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11\n",
      "2021-04-02 21:00:47.230401: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._groundtruth_lists\n",
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      "W0402 21:01:07.222183 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.beta\n",
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      "W0402 21:01:07.222259 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.4.moving_variance\n",
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      "W0402 21:01:07.222297 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.axis\n",
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      "W0402 21:01:07.222334 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.gamma\n",
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      "W0402 21:01:07.222372 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.beta\n",
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      "W0402 21:01:07.222409 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.moving_mean\n",
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      "W0402 21:01:07.222457 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.7.moving_variance\n",
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      "W0402 21:01:07.222498 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.axis\n",
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      "W0402 21:01:07.222537 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.gamma\n",
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      "W0402 21:01:07.222575 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.beta\n",
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      "W0402 21:01:07.222612 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.moving_mean\n",
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      "W0402 21:01:07.222650 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.1.10.moving_variance\n",
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      "W0402 21:01:07.222687 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.axis\n",
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      "W0402 21:01:07.222725 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.gamma\n",
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      "W0402 21:01:07.222762 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.beta\n",
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      "W0402 21:01:07.222799 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_mean\n",
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      "W0402 21:01:07.222837 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.1.moving_variance\n",
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      "W0402 21:01:07.222874 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.axis\n",
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      "W0402 21:01:07.222913 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.gamma\n",
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      "W0402 21:01:07.222951 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.beta\n",
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      "W0402 21:01:07.222989 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.moving_mean\n",
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      "W0402 21:01:07.223027 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.4.moving_variance\n",
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      "W0402 21:01:07.223065 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.axis\n",
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      "W0402 21:01:07.223103 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.gamma\n",
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      "W0402 21:01:07.223140 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.beta\n",
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      "W0402 21:01:07.223177 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.moving_mean\n",
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      "W0402 21:01:07.223215 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.7.moving_variance\n",
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      "W0402 21:01:07.223253 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.10.axis\n",
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      "W0402 21:01:07.223291 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.10.gamma\n",
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      "W0402 21:01:07.223329 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.10.beta\n",
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      "W0402 21:01:07.223366 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.10.moving_mean\n",
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      "W0402 21:01:07.223404 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.2.10.moving_variance\n",
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      "W0402 21:01:07.223441 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.axis\n",
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      "W0402 21:01:07.223479 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.gamma\n",
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      "W0402 21:01:07.223516 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.beta\n",
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      "W0402 21:01:07.223554 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.moving_mean\n",
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      "W0402 21:01:07.223592 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.1.moving_variance\n",
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      "W0402 21:01:07.223631 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.axis\n",
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      "W0402 21:01:07.223669 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.gamma\n",
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      "W0402 21:01:07.223706 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.beta\n",
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      "W0402 21:01:07.223743 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.moving_mean\n",
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      "W0402 21:01:07.223781 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.4.moving_variance\n",
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      "W0402 21:01:07.223819 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.axis\n",
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      "W0402 21:01:07.223857 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.gamma\n",
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      "W0402 21:01:07.223894 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.beta\n",
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      "W0402 21:01:07.223969 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.7.moving_variance\n",
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      "W0402 21:01:07.224008 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.10.axis\n",
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      "W0402 21:01:07.224085 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.10.beta\n",
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      "W0402 21:01:07.224123 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.3.10.moving_mean\n",
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      "W0402 21:01:07.224199 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.axis\n",
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      "W0402 21:01:07.224274 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.beta\n",
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      "W0402 21:01:07.224349 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.1.moving_variance\n",
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      "W0402 21:01:07.224537 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.4.moving_variance\n",
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      "W0402 21:01:07.224650 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.beta\n",
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      "W0402 21:01:07.224688 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.moving_mean\n",
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      "W0402 21:01:07.224725 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.7.moving_variance\n",
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      "W0402 21:01:07.224763 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.10.axis\n",
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      "W0402 21:01:07.224801 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.10.gamma\n",
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      "W0402 21:01:07.224839 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.10.beta\n",
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      "W0402 21:01:07.224876 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.10.moving_mean\n",
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      "W0402 21:01:07.224915 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.box_encodings.4.10.moving_variance\n",
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      "W0402 21:01:07.224952 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.axis\n",
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      "W0402 21:01:07.224990 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.gamma\n",
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      "W0402 21:01:07.225029 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.beta\n",
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      "W0402 21:01:07.225066 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.moving_variance\n",
      "W0402 21:01:07.225104 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.1.moving_variance\n",
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      "W0402 21:01:07.225143 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.axis\n",
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      "W0402 21:01:07.225181 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.gamma\n",
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      "W0402 21:01:07.225219 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.moving_mean\n",
      "W0402 21:01:07.225257 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.moving_variance\n",
      "W0402 21:01:07.225294 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.4.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.axis\n",
      "W0402 21:01:07.225333 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.gamma\n",
      "W0402 21:01:07.225371 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.beta\n",
      "W0402 21:01:07.225409 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.moving_mean\n",
      "W0402 21:01:07.225447 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.moving_variance\n",
      "W0402 21:01:07.225486 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.7.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.axis\n",
      "W0402 21:01:07.225524 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.gamma\n",
      "W0402 21:01:07.225562 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.beta\n",
      "W0402 21:01:07.225600 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.moving_mean\n",
      "W0402 21:01:07.225637 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.moving_variance\n",
      "W0402 21:01:07.225675 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.0.10.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.axis\n",
      "W0402 21:01:07.225713 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.gamma\n",
      "W0402 21:01:07.225750 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.gamma\n",
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      "W0402 21:01:07.225788 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.moving_mean\n",
      "W0402 21:01:07.225826 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.moving_variance\n",
      "W0402 21:01:07.225863 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.1.moving_variance\n",
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      "W0402 21:01:07.225902 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.axis\n",
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      "W0402 21:01:07.225939 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.gamma\n",
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      "W0402 21:01:07.225977 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.beta\n",
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      "W0402 21:01:07.226015 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.moving_mean\n",
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      "W0402 21:01:07.226052 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.4.moving_variance\n",
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      "W0402 21:01:07.226089 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.axis\n",
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      "W0402 21:01:07.226127 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.gamma\n",
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      "W0402 21:01:07.226165 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.beta\n",
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      "W0402 21:01:07.226202 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.moving_mean\n",
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      "W0402 21:01:07.226240 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.7.moving_variance\n",
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      "W0402 21:01:07.226278 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.10.axis\n",
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      "W0402 21:01:07.226315 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.10.gamma\n",
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      "W0402 21:01:07.226353 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.10.beta\n",
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      "W0402 21:01:07.226392 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.10.moving_mean\n",
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      "W0402 21:01:07.226430 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.1.10.moving_variance\n",
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      "W0402 21:01:07.226474 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.axis\n",
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      "W0402 21:01:07.226512 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.gamma\n",
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      "W0402 21:01:07.226550 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.beta\n",
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      "W0402 21:01:07.226588 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.moving_mean\n",
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      "W0402 21:01:07.226625 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.1.moving_variance\n",
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      "W0402 21:01:07.226663 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.axis\n",
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      "W0402 21:01:07.226701 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.gamma\n",
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      "W0402 21:01:07.226739 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.beta\n",
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      "W0402 21:01:07.226778 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.moving_mean\n",
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      "W0402 21:01:07.226816 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.4.moving_variance\n",
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      "W0402 21:01:07.226854 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.axis\n",
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      "W0402 21:01:07.226891 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.gamma\n",
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      "W0402 21:01:07.226929 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.beta\n",
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      "W0402 21:01:07.226967 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.moving_mean\n",
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      "W0402 21:01:07.227006 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.7.moving_variance\n",
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      "W0402 21:01:07.227044 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.10.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.10.gamma\n",
      "W0402 21:01:07.227082 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.10.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.10.beta\n",
      "W0402 21:01:07.227120 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.10.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.10.moving_mean\n",
      "W0402 21:01:07.227157 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.10.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.10.moving_variance\n",
      "W0402 21:01:07.227195 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.2.10.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.axis\n",
      "W0402 21:01:07.227232 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.gamma\n",
      "W0402 21:01:07.227270 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.beta\n",
      "W0402 21:01:07.227308 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.moving_mean\n",
      "W0402 21:01:07.227345 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.moving_variance\n",
      "W0402 21:01:07.227383 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.1.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.axis\n",
      "W0402 21:01:07.227421 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.gamma\n",
      "W0402 21:01:07.227459 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.beta\n",
      "W0402 21:01:07.227497 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.moving_mean\n",
      "W0402 21:01:07.227535 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.moving_variance\n",
      "W0402 21:01:07.227572 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.4.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.axis\n",
      "W0402 21:01:07.227611 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.gamma\n",
      "W0402 21:01:07.227648 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.beta\n",
      "W0402 21:01:07.227686 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.moving_mean\n",
      "W0402 21:01:07.227724 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.moving_variance\n",
      "W0402 21:01:07.227762 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.7.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.axis\n",
      "W0402 21:01:07.227800 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.gamma\n",
      "W0402 21:01:07.227838 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.beta\n",
      "W0402 21:01:07.227875 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.moving_mean\n",
      "W0402 21:01:07.227913 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.moving_variance\n",
      "W0402 21:01:07.227951 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.3.10.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.axis\n",
      "W0402 21:01:07.227989 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.gamma\n",
      "W0402 21:01:07.228027 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.beta\n",
      "W0402 21:01:07.228065 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.moving_mean\n",
      "W0402 21:01:07.228102 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.moving_variance\n",
      "W0402 21:01:07.228140 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.1.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.axis\n",
      "W0402 21:01:07.228178 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.gamma\n",
      "W0402 21:01:07.228215 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.beta\n",
      "W0402 21:01:07.228253 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.moving_mean\n",
      "W0402 21:01:07.228292 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.moving_variance\n",
      "W0402 21:01:07.228330 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.4.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.axis\n",
      "W0402 21:01:07.228368 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.gamma\n",
      "W0402 21:01:07.228406 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.beta\n",
      "W0402 21:01:07.228444 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.moving_mean\n",
      "W0402 21:01:07.228482 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.moving_variance\n",
      "W0402 21:01:07.228520 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.7.moving_variance\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.axis\n",
      "W0402 21:01:07.228558 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.axis\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.gamma\n",
      "W0402 21:01:07.228596 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.gamma\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.beta\n",
      "W0402 21:01:07.228634 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.beta\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.moving_mean\n",
      "W0402 21:01:07.228672 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.moving_mean\n",
      "WARNING:tensorflow:Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.moving_variance\n",
      "W0402 21:01:07.228709 139984567650112 util.py:161] Unresolved object in checkpoint: (root).model._box_predictor._base_tower_layers_for_heads.class_predictions_with_background.4.10.moving_variance\n",
      "WARNING:tensorflow:A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.\n",
      "W0402 21:01:07.228804 139984567650112 util.py:169] A checkpoint was restored (e.g. tf.train.Checkpoint.restore or tf.keras.Model.load_weights) but not all checkpointed values were used. See above for specific issues. Use expect_partial() on the load status object, e.g. tf.train.Checkpoint.restore(...).expect_partial(), to silence these warnings, or use assert_consumed() to make the check explicit. See https://www.tensorflow.org/guide/checkpoint#loading_mechanics for details.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:01:18.265580 139972666189568 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:01:28.170963 139972708136704 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:01:35.867379 139981977581312 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:01:43.486651 139981834970880 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:01:50.818753 139981692360448 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:01:58.670957 139981415532288 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:02:06.061204 139981272921856 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "INFO:tensorflow:Collective batch_all_reduce: 879 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 21:02:06.228259 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 879 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/util/deprecation.py:605: calling map_fn_v2 (from tensorflow.python.ops.map_fn) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use fn_output_signature instead\n",
      "W0402 21:02:14.395896 139972666189568 deprecation.py:537] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/util/deprecation.py:605: calling map_fn_v2 (from tensorflow.python.ops.map_fn) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use fn_output_signature instead\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 21:02:15.838594 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:02:35.783548 139981272921856 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:02:44.160532 139981415532288 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:02:51.617262 139981977581312 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:02:59.094423 139981834970880 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:03:07.762980 139978169030400 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:03:15.327275 139978160637696 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "WARNING:tensorflow:Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "W0402 21:03:22.796220 139978152244992 utils.py:83] Gradients do not exist for variables ['stack_6/block_1/expand_bn/gamma:0', 'stack_6/block_1/expand_bn/beta:0', 'stack_6/block_1/depthwise_conv2d/depthwise_kernel:0', 'stack_6/block_1/depthwise_bn/gamma:0', 'stack_6/block_1/depthwise_bn/beta:0', 'stack_6/block_1/project_bn/gamma:0', 'stack_6/block_1/project_bn/beta:0', 'top_bn/gamma:0', 'top_bn/beta:0'] when minimizing the loss.\n",
      "INFO:tensorflow:Collective batch_all_reduce: 879 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 21:03:22.959587 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 879 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "INFO:tensorflow:Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "I0402 21:03:30.784327 139984567650112 cross_device_ops.py:1154] Collective batch_all_reduce: 1 all-reduces, num_devices = 7, group_size = 7, implementation = AUTO, num_packs = 1\n",
      "2021-04-02 21:04:31.699870: W tensorflow/core/grappler/optimizers/loop_optimizer.cc:906] Skipping loop optimization for Merge node with control input: replica_1/Loss/localization_loss_1/write_summary/summary_cond/branch_executed/_59\n",
      "INFO:tensorflow:Step 100 per-step time 0.992s loss=0.639\n",
      "I0402 21:07:42.682012 139984567650112 model_lib_v2.py:682] Step 100 per-step time 0.992s loss=0.639\n",
      "INFO:tensorflow:Step 200 per-step time 1.015s loss=0.455\n",
      "I0402 21:09:30.385687 139984567650112 model_lib_v2.py:682] Step 200 per-step time 1.015s loss=0.455\n",
      "INFO:tensorflow:Step 300 per-step time 1.034s loss=0.409\n",
      "I0402 21:11:17.628778 139984567650112 model_lib_v2.py:682] Step 300 per-step time 1.034s loss=0.409\n",
      "INFO:tensorflow:Step 400 per-step time 1.033s loss=0.434\n",
      "I0402 21:13:05.795809 139984567650112 model_lib_v2.py:682] Step 400 per-step time 1.033s loss=0.434\n",
      "INFO:tensorflow:Step 500 per-step time 1.001s loss=0.406\n",
      "I0402 21:14:53.773357 139984567650112 model_lib_v2.py:682] Step 500 per-step time 1.001s loss=0.406\n",
      "INFO:tensorflow:Step 600 per-step time 1.137s loss=0.377\n",
      "I0402 21:16:41.630693 139984567650112 model_lib_v2.py:682] Step 600 per-step time 1.137s loss=0.377\n",
      "INFO:tensorflow:Step 700 per-step time 1.113s loss=0.353\n",
      "I0402 21:18:30.196314 139984567650112 model_lib_v2.py:682] Step 700 per-step time 1.113s loss=0.353\n",
      "INFO:tensorflow:Step 800 per-step time 0.983s loss=0.487\n",
      "I0402 21:20:18.221311 139984567650112 model_lib_v2.py:682] Step 800 per-step time 0.983s loss=0.487\n",
      "INFO:tensorflow:Step 900 per-step time 1.167s loss=0.459\n",
      "I0402 21:22:05.628861 139984567650112 model_lib_v2.py:682] Step 900 per-step time 1.167s loss=0.459\n",
      "INFO:tensorflow:Step 1000 per-step time 1.049s loss=0.528\n",
      "I0402 21:23:53.699231 139984567650112 model_lib_v2.py:682] Step 1000 per-step time 1.049s loss=0.528\n",
      "INFO:tensorflow:Step 1100 per-step time 0.965s loss=0.364\n",
      "I0402 21:25:44.286347 139984567650112 model_lib_v2.py:682] Step 1100 per-step time 0.965s loss=0.364\n",
      "INFO:tensorflow:Step 1200 per-step time 0.996s loss=0.311\n",
      "I0402 21:27:33.353664 139984567650112 model_lib_v2.py:682] Step 1200 per-step time 0.996s loss=0.311\n",
      "INFO:tensorflow:Step 1300 per-step time 1.286s loss=0.292\n",
      "I0402 21:29:21.344319 139984567650112 model_lib_v2.py:682] Step 1300 per-step time 1.286s loss=0.292\n",
      "INFO:tensorflow:Step 1400 per-step time 1.134s loss=0.435\n",
      "I0402 21:31:09.126400 139984567650112 model_lib_v2.py:682] Step 1400 per-step time 1.134s loss=0.435\n",
      "INFO:tensorflow:Step 1500 per-step time 1.113s loss=0.310\n",
      "I0402 21:32:56.743721 139984567650112 model_lib_v2.py:682] Step 1500 per-step time 1.113s loss=0.310\n",
      "INFO:tensorflow:Step 1600 per-step time 1.143s loss=0.309\n",
      "I0402 21:34:44.218619 139984567650112 model_lib_v2.py:682] Step 1600 per-step time 1.143s loss=0.309\n",
      "INFO:tensorflow:Step 1700 per-step time 1.164s loss=0.277\n",
      "I0402 21:36:31.218990 139984567650112 model_lib_v2.py:682] Step 1700 per-step time 1.164s loss=0.277\n",
      "INFO:tensorflow:Step 1800 per-step time 1.062s loss=0.309\n",
      "I0402 21:38:19.205286 139984567650112 model_lib_v2.py:682] Step 1800 per-step time 1.062s loss=0.309\n",
      "INFO:tensorflow:Step 1900 per-step time 1.188s loss=0.301\n",
      "I0402 21:40:06.489794 139984567650112 model_lib_v2.py:682] Step 1900 per-step time 1.188s loss=0.301\n",
      "INFO:tensorflow:Step 2000 per-step time 1.080s loss=0.241\n",
      "I0402 21:41:54.793332 139984567650112 model_lib_v2.py:682] Step 2000 per-step time 1.080s loss=0.241\n",
      "INFO:tensorflow:Step 2100 per-step time 1.100s loss=0.338\n",
      "I0402 21:43:44.752923 139984567650112 model_lib_v2.py:682] Step 2100 per-step time 1.100s loss=0.338\n",
      "INFO:tensorflow:Step 2200 per-step time 1.069s loss=0.389\n",
      "I0402 21:45:32.857330 139984567650112 model_lib_v2.py:682] Step 2200 per-step time 1.069s loss=0.389\n",
      "INFO:tensorflow:Step 2300 per-step time 1.141s loss=0.355\n",
      "I0402 21:47:19.641310 139984567650112 model_lib_v2.py:682] Step 2300 per-step time 1.141s loss=0.355\n",
      "INFO:tensorflow:Step 2400 per-step time 1.085s loss=0.375\n",
      "I0402 21:49:07.051441 139984567650112 model_lib_v2.py:682] Step 2400 per-step time 1.085s loss=0.375\n",
      "INFO:tensorflow:Step 2500 per-step time 1.012s loss=0.307\n",
      "I0402 21:50:53.206984 139984567650112 model_lib_v2.py:682] Step 2500 per-step time 1.012s loss=0.307\n",
      "INFO:tensorflow:Step 2600 per-step time 1.029s loss=0.296\n",
      "I0402 21:52:40.133974 139984567650112 model_lib_v2.py:682] Step 2600 per-step time 1.029s loss=0.296\n",
      "INFO:tensorflow:Step 2700 per-step time 1.080s loss=0.339\n",
      "I0402 21:54:28.529127 139984567650112 model_lib_v2.py:682] Step 2700 per-step time 1.080s loss=0.339\n",
      "INFO:tensorflow:Step 2800 per-step time 1.108s loss=0.362\n",
      "I0402 21:56:17.969673 139984567650112 model_lib_v2.py:682] Step 2800 per-step time 1.108s loss=0.362\n",
      "INFO:tensorflow:Step 2900 per-step time 1.107s loss=0.270\n",
      "I0402 21:58:07.238178 139984567650112 model_lib_v2.py:682] Step 2900 per-step time 1.107s loss=0.270\n",
      "INFO:tensorflow:Step 3000 per-step time 1.091s loss=0.331\n",
      "I0402 21:59:55.294806 139984567650112 model_lib_v2.py:682] Step 3000 per-step time 1.091s loss=0.331\n",
      "INFO:tensorflow:Step 3100 per-step time 1.010s loss=0.454\n",
      "I0402 22:01:45.370767 139984567650112 model_lib_v2.py:682] Step 3100 per-step time 1.010s loss=0.454\n",
      "INFO:tensorflow:Step 3200 per-step time 1.140s loss=0.430\n",
      "I0402 22:03:33.558027 139984567650112 model_lib_v2.py:682] Step 3200 per-step time 1.140s loss=0.430\n",
      "INFO:tensorflow:Step 3300 per-step time 1.079s loss=0.362\n",
      "I0402 22:05:21.303865 139984567650112 model_lib_v2.py:682] Step 3300 per-step time 1.079s loss=0.362\n",
      "INFO:tensorflow:Step 3400 per-step time 1.034s loss=0.388\n",
      "I0402 22:07:08.682855 139984567650112 model_lib_v2.py:682] Step 3400 per-step time 1.034s loss=0.388\n",
      "INFO:tensorflow:Step 3500 per-step time 1.031s loss=0.444\n",
      "I0402 22:08:56.033897 139984567650112 model_lib_v2.py:682] Step 3500 per-step time 1.031s loss=0.444\n",
      "INFO:tensorflow:Step 3600 per-step time 1.062s loss=0.343\n",
      "I0402 22:10:44.205979 139984567650112 model_lib_v2.py:682] Step 3600 per-step time 1.062s loss=0.343\n",
      "INFO:tensorflow:Step 3700 per-step time 1.115s loss=0.569\n",
      "I0402 22:12:32.025892 139984567650112 model_lib_v2.py:682] Step 3700 per-step time 1.115s loss=0.569\n",
      "INFO:tensorflow:Step 3800 per-step time 1.044s loss=1.000\n",
      "I0402 22:14:18.631346 139984567650112 model_lib_v2.py:682] Step 3800 per-step time 1.044s loss=1.000\n",
      "INFO:tensorflow:Step 3900 per-step time 1.016s loss=0.783\n",
      "I0402 22:16:07.373479 139984567650112 model_lib_v2.py:682] Step 3900 per-step time 1.016s loss=0.783\n",
      "INFO:tensorflow:Step 4000 per-step time 0.991s loss=0.680\n",
      "I0402 22:17:55.348611 139984567650112 model_lib_v2.py:682] Step 4000 per-step time 0.991s loss=0.680\n",
      "INFO:tensorflow:Step 4100 per-step time 1.014s loss=0.574\n",
      "I0402 22:19:45.770551 139984567650112 model_lib_v2.py:682] Step 4100 per-step time 1.014s loss=0.574\n",
      "INFO:tensorflow:Step 4200 per-step time 1.003s loss=0.561\n",
      "I0402 22:21:34.061561 139984567650112 model_lib_v2.py:682] Step 4200 per-step time 1.003s loss=0.561\n",
      "INFO:tensorflow:Step 4300 per-step time 0.988s loss=0.414\n",
      "I0402 22:23:21.100329 139984567650112 model_lib_v2.py:682] Step 4300 per-step time 0.988s loss=0.414\n",
      "INFO:tensorflow:Step 4400 per-step time 1.054s loss=0.467\n",
      "I0402 22:25:08.214506 139984567650112 model_lib_v2.py:682] Step 4400 per-step time 1.054s loss=0.467\n",
      "INFO:tensorflow:Step 4500 per-step time 0.998s loss=0.387\n",
      "I0402 22:26:55.600658 139984567650112 model_lib_v2.py:682] Step 4500 per-step time 0.998s loss=0.387\n",
      "INFO:tensorflow:Step 4600 per-step time 1.013s loss=0.399\n",
      "I0402 22:28:42.105918 139984567650112 model_lib_v2.py:682] Step 4600 per-step time 1.013s loss=0.399\n",
      "INFO:tensorflow:Step 4700 per-step time 1.108s loss=0.399\n",
      "I0402 22:30:29.132028 139984567650112 model_lib_v2.py:682] Step 4700 per-step time 1.108s loss=0.399\n",
      "INFO:tensorflow:Step 4800 per-step time 1.114s loss=0.421\n",
      "I0402 22:32:16.103695 139984567650112 model_lib_v2.py:682] Step 4800 per-step time 1.114s loss=0.421\n",
      "INFO:tensorflow:Step 4900 per-step time 1.000s loss=0.341\n",
      "I0402 22:34:03.228784 139984567650112 model_lib_v2.py:682] Step 4900 per-step time 1.000s loss=0.341\n",
      "INFO:tensorflow:Step 5000 per-step time 1.052s loss=0.363\n",
      "I0402 22:35:49.886687 139984567650112 model_lib_v2.py:682] Step 5000 per-step time 1.052s loss=0.363\n",
      "INFO:tensorflow:Step 5100 per-step time 0.995s loss=0.293\n",
      "I0402 22:37:41.476706 139984567650112 model_lib_v2.py:682] Step 5100 per-step time 0.995s loss=0.293\n",
      "INFO:tensorflow:Step 5200 per-step time 1.101s loss=0.331\n",
      "I0402 22:39:29.115003 139984567650112 model_lib_v2.py:682] Step 5200 per-step time 1.101s loss=0.331\n",
      "INFO:tensorflow:Step 5300 per-step time 1.105s loss=0.335\n",
      "I0402 22:41:16.913063 139984567650112 model_lib_v2.py:682] Step 5300 per-step time 1.105s loss=0.335\n",
      "INFO:tensorflow:Step 5400 per-step time 1.004s loss=0.452\n",
      "I0402 22:43:04.972085 139984567650112 model_lib_v2.py:682] Step 5400 per-step time 1.004s loss=0.452\n",
      "INFO:tensorflow:Step 5500 per-step time 1.038s loss=0.390\n",
      "I0402 22:44:53.122106 139984567650112 model_lib_v2.py:682] Step 5500 per-step time 1.038s loss=0.390\n",
      "INFO:tensorflow:Step 5600 per-step time 1.115s loss=0.315\n",
      "I0402 22:46:41.670701 139984567650112 model_lib_v2.py:682] Step 5600 per-step time 1.115s loss=0.315\n",
      "INFO:tensorflow:Step 5700 per-step time 1.084s loss=0.367\n",
      "I0402 22:48:28.704826 139984567650112 model_lib_v2.py:682] Step 5700 per-step time 1.084s loss=0.367\n",
      "INFO:tensorflow:Step 5800 per-step time 1.073s loss=0.279\n",
      "I0402 22:50:16.128644 139984567650112 model_lib_v2.py:682] Step 5800 per-step time 1.073s loss=0.279\n",
      "INFO:tensorflow:Step 5900 per-step time 0.991s loss=0.337\n",
      "I0402 22:52:03.406657 139984567650112 model_lib_v2.py:682] Step 5900 per-step time 0.991s loss=0.337\n",
      "INFO:tensorflow:Step 6000 per-step time 1.052s loss=0.303\n",
      "I0402 22:53:51.056074 139984567650112 model_lib_v2.py:682] Step 6000 per-step time 1.052s loss=0.303\n",
      "INFO:tensorflow:Step 6100 per-step time 1.054s loss=0.275\n",
      "I0402 22:55:40.891357 139984567650112 model_lib_v2.py:682] Step 6100 per-step time 1.054s loss=0.275\n",
      "INFO:tensorflow:Step 6200 per-step time 1.214s loss=0.308\n",
      "I0402 22:57:27.521554 139984567650112 model_lib_v2.py:682] Step 6200 per-step time 1.214s loss=0.308\n",
      "INFO:tensorflow:Step 6300 per-step time 1.030s loss=0.328\n",
      "I0402 22:59:15.470672 139984567650112 model_lib_v2.py:682] Step 6300 per-step time 1.030s loss=0.328\n",
      "INFO:tensorflow:Step 6400 per-step time 1.086s loss=0.310\n",
      "I0402 23:01:03.287404 139984567650112 model_lib_v2.py:682] Step 6400 per-step time 1.086s loss=0.310\n",
      "INFO:tensorflow:Step 6500 per-step time 1.150s loss=0.300\n",
      "I0402 23:02:52.000872 139984567650112 model_lib_v2.py:682] Step 6500 per-step time 1.150s loss=0.300\n",
      "INFO:tensorflow:Step 6600 per-step time 1.164s loss=0.289\n",
      "I0402 23:04:40.496270 139984567650112 model_lib_v2.py:682] Step 6600 per-step time 1.164s loss=0.289\n",
      "INFO:tensorflow:Step 6700 per-step time 1.083s loss=0.398\n",
      "I0402 23:06:27.592091 139984567650112 model_lib_v2.py:682] Step 6700 per-step time 1.083s loss=0.398\n",
      "INFO:tensorflow:Step 6800 per-step time 1.106s loss=0.412\n",
      "I0402 23:08:15.461268 139984567650112 model_lib_v2.py:682] Step 6800 per-step time 1.106s loss=0.412\n",
      "INFO:tensorflow:Step 6900 per-step time 1.124s loss=0.364\n",
      "I0402 23:10:03.217484 139984567650112 model_lib_v2.py:682] Step 6900 per-step time 1.124s loss=0.364\n",
      "INFO:tensorflow:Step 7000 per-step time 0.999s loss=0.337\n",
      "I0402 23:11:50.258284 139984567650112 model_lib_v2.py:682] Step 7000 per-step time 0.999s loss=0.337\n",
      "INFO:tensorflow:Step 7100 per-step time 1.021s loss=0.293\n",
      "I0402 23:13:41.702239 139984567650112 model_lib_v2.py:682] Step 7100 per-step time 1.021s loss=0.293\n",
      "INFO:tensorflow:Step 7200 per-step time 1.045s loss=0.320\n",
      "I0402 23:15:30.934715 139984567650112 model_lib_v2.py:682] Step 7200 per-step time 1.045s loss=0.320\n",
      "INFO:tensorflow:Step 7300 per-step time 1.050s loss=0.325\n",
      "I0402 23:17:19.384923 139984567650112 model_lib_v2.py:682] Step 7300 per-step time 1.050s loss=0.325\n",
      "INFO:tensorflow:Step 7400 per-step time 1.132s loss=0.387\n",
      "I0402 23:19:07.470436 139984567650112 model_lib_v2.py:682] Step 7400 per-step time 1.132s loss=0.387\n",
      "INFO:tensorflow:Step 7500 per-step time 1.023s loss=0.433\n",
      "I0402 23:20:56.001408 139984567650112 model_lib_v2.py:682] Step 7500 per-step time 1.023s loss=0.433\n",
      "INFO:tensorflow:Step 7600 per-step time 1.060s loss=0.371\n",
      "I0402 23:22:44.079861 139984567650112 model_lib_v2.py:682] Step 7600 per-step time 1.060s loss=0.371\n",
      "INFO:tensorflow:Step 7700 per-step time 1.105s loss=0.299\n",
      "I0402 23:24:31.863212 139984567650112 model_lib_v2.py:682] Step 7700 per-step time 1.105s loss=0.299\n",
      "INFO:tensorflow:Step 7800 per-step time 1.099s loss=0.282\n",
      "I0402 23:26:20.063375 139984567650112 model_lib_v2.py:682] Step 7800 per-step time 1.099s loss=0.282\n",
      "INFO:tensorflow:Step 7900 per-step time 1.001s loss=0.338\n",
      "I0402 23:28:06.970900 139984567650112 model_lib_v2.py:682] Step 7900 per-step time 1.001s loss=0.338\n",
      "INFO:tensorflow:Step 8000 per-step time 1.062s loss=0.317\n",
      "I0402 23:29:55.056058 139984567650112 model_lib_v2.py:682] Step 8000 per-step time 1.062s loss=0.317\n",
      "INFO:tensorflow:Step 8100 per-step time 1.092s loss=0.488\n",
      "I0402 23:31:45.261407 139984567650112 model_lib_v2.py:682] Step 8100 per-step time 1.092s loss=0.488\n",
      "INFO:tensorflow:Step 8200 per-step time 1.046s loss=0.318\n",
      "I0402 23:33:32.951421 139984567650112 model_lib_v2.py:682] Step 8200 per-step time 1.046s loss=0.318\n",
      "INFO:tensorflow:Step 8300 per-step time 1.134s loss=0.324\n",
      "I0402 23:35:19.809034 139984567650112 model_lib_v2.py:682] Step 8300 per-step time 1.134s loss=0.324\n",
      "INFO:tensorflow:Step 8400 per-step time 1.092s loss=0.313\n",
      "I0402 23:37:07.216370 139984567650112 model_lib_v2.py:682] Step 8400 per-step time 1.092s loss=0.313\n",
      "INFO:tensorflow:Step 8500 per-step time 1.149s loss=0.317\n",
      "I0402 23:38:55.080896 139984567650112 model_lib_v2.py:682] Step 8500 per-step time 1.149s loss=0.317\n",
      "INFO:tensorflow:Step 8600 per-step time 1.104s loss=0.303\n",
      "I0402 23:40:42.910379 139984567650112 model_lib_v2.py:682] Step 8600 per-step time 1.104s loss=0.303\n",
      "INFO:tensorflow:Step 8700 per-step time 1.187s loss=0.293\n",
      "I0402 23:42:30.668668 139984567650112 model_lib_v2.py:682] Step 8700 per-step time 1.187s loss=0.293\n",
      "INFO:tensorflow:Step 8800 per-step time 1.099s loss=0.333\n",
      "I0402 23:44:18.651346 139984567650112 model_lib_v2.py:682] Step 8800 per-step time 1.099s loss=0.333\n",
      "INFO:tensorflow:Step 8900 per-step time 1.114s loss=0.416\n",
      "I0402 23:46:06.683758 139984567650112 model_lib_v2.py:682] Step 8900 per-step time 1.114s loss=0.416\n",
      "INFO:tensorflow:Step 9000 per-step time 1.104s loss=0.293\n",
      "I0402 23:47:52.558350 139984567650112 model_lib_v2.py:682] Step 9000 per-step time 1.104s loss=0.293\n",
      "INFO:tensorflow:Step 9100 per-step time 1.056s loss=0.287\n",
      "I0402 23:49:43.471962 139984567650112 model_lib_v2.py:682] Step 9100 per-step time 1.056s loss=0.287\n",
      "INFO:tensorflow:Step 9200 per-step time 1.059s loss=0.327\n",
      "I0402 23:51:30.655831 139984567650112 model_lib_v2.py:682] Step 9200 per-step time 1.059s loss=0.327\n",
      "INFO:tensorflow:Step 9300 per-step time 1.050s loss=0.300\n",
      "I0402 23:53:17.840894 139984567650112 model_lib_v2.py:682] Step 9300 per-step time 1.050s loss=0.300\n",
      "INFO:tensorflow:Step 9400 per-step time 1.195s loss=0.260\n",
      "I0402 23:55:05.448899 139984567650112 model_lib_v2.py:682] Step 9400 per-step time 1.195s loss=0.260\n",
      "INFO:tensorflow:Step 9500 per-step time 1.122s loss=0.383\n",
      "I0402 23:56:53.669151 139984567650112 model_lib_v2.py:682] Step 9500 per-step time 1.122s loss=0.383\n",
      "INFO:tensorflow:Step 9600 per-step time 1.002s loss=0.290\n",
      "I0402 23:58:42.181417 139984567650112 model_lib_v2.py:682] Step 9600 per-step time 1.002s loss=0.290\n",
      "INFO:tensorflow:Step 9700 per-step time 1.154s loss=0.348\n",
      "I0403 00:00:30.181816 139984567650112 model_lib_v2.py:682] Step 9700 per-step time 1.154s loss=0.348\n",
      "INFO:tensorflow:Step 9800 per-step time 1.100s loss=0.292\n",
      "I0403 00:02:18.237753 139984567650112 model_lib_v2.py:682] Step 9800 per-step time 1.100s loss=0.292\n",
      "INFO:tensorflow:Step 9900 per-step time 1.106s loss=0.318\n",
      "I0403 00:04:06.205831 139984567650112 model_lib_v2.py:682] Step 9900 per-step time 1.106s loss=0.318\n",
      "INFO:tensorflow:Step 10000 per-step time 1.169s loss=0.280\n",
      "I0403 00:05:53.864619 139984567650112 model_lib_v2.py:682] Step 10000 per-step time 1.169s loss=0.280\n",
      "INFO:tensorflow:Step 10100 per-step time 1.116s loss=0.399\n",
      "I0403 00:07:44.169502 139984567650112 model_lib_v2.py:682] Step 10100 per-step time 1.116s loss=0.399\n",
      "INFO:tensorflow:Step 10200 per-step time 1.234s loss=0.337\n",
      "I0403 00:09:32.889935 139984567650112 model_lib_v2.py:682] Step 10200 per-step time 1.234s loss=0.337\n",
      "INFO:tensorflow:Step 10300 per-step time 0.983s loss=0.330\n",
      "I0403 00:11:20.596456 139984567650112 model_lib_v2.py:682] Step 10300 per-step time 0.983s loss=0.330\n",
      "INFO:tensorflow:Step 10400 per-step time 0.993s loss=0.326\n",
      "I0403 00:13:07.654756 139984567650112 model_lib_v2.py:682] Step 10400 per-step time 0.993s loss=0.326\n",
      "INFO:tensorflow:Step 10500 per-step time 1.023s loss=0.305\n",
      "I0403 00:14:55.706912 139984567650112 model_lib_v2.py:682] Step 10500 per-step time 1.023s loss=0.305\n",
      "INFO:tensorflow:Step 10600 per-step time 1.003s loss=0.275\n",
      "I0403 00:16:44.298791 139984567650112 model_lib_v2.py:682] Step 10600 per-step time 1.003s loss=0.275\n",
      "INFO:tensorflow:Step 10700 per-step time 0.989s loss=0.305\n",
      "I0403 00:18:31.721559 139984567650112 model_lib_v2.py:682] Step 10700 per-step time 0.989s loss=0.305\n",
      "INFO:tensorflow:Step 10800 per-step time 1.040s loss=0.263\n",
      "I0403 00:20:19.585367 139984567650112 model_lib_v2.py:682] Step 10800 per-step time 1.040s loss=0.263\n",
      "INFO:tensorflow:Step 10900 per-step time 1.093s loss=0.327\n",
      "I0403 00:22:07.721551 139984567650112 model_lib_v2.py:682] Step 10900 per-step time 1.093s loss=0.327\n",
      "INFO:tensorflow:Step 11000 per-step time 1.142s loss=0.337\n",
      "I0403 00:23:55.862944 139984567650112 model_lib_v2.py:682] Step 11000 per-step time 1.142s loss=0.337\n",
      "INFO:tensorflow:Step 11100 per-step time 1.116s loss=0.341\n",
      "I0403 00:25:47.054352 139984567650112 model_lib_v2.py:682] Step 11100 per-step time 1.116s loss=0.341\n",
      "INFO:tensorflow:Step 11200 per-step time 0.998s loss=0.288\n",
      "I0403 00:27:34.325418 139984567650112 model_lib_v2.py:682] Step 11200 per-step time 0.998s loss=0.288\n",
      "INFO:tensorflow:Step 11300 per-step time 1.134s loss=0.301\n",
      "I0403 00:29:21.643914 139984567650112 model_lib_v2.py:682] Step 11300 per-step time 1.134s loss=0.301\n",
      "INFO:tensorflow:Step 11400 per-step time 1.006s loss=0.307\n",
      "I0403 00:31:08.922308 139984567650112 model_lib_v2.py:682] Step 11400 per-step time 1.006s loss=0.307\n",
      "INFO:tensorflow:Step 11500 per-step time 1.165s loss=0.307\n",
      "I0403 00:32:57.675882 139984567650112 model_lib_v2.py:682] Step 11500 per-step time 1.165s loss=0.307\n",
      "INFO:tensorflow:Step 11600 per-step time 1.059s loss=0.289\n",
      "I0403 00:34:46.361731 139984567650112 model_lib_v2.py:682] Step 11600 per-step time 1.059s loss=0.289\n",
      "INFO:tensorflow:Step 11700 per-step time 1.091s loss=0.267\n",
      "I0403 00:36:35.226575 139984567650112 model_lib_v2.py:682] Step 11700 per-step time 1.091s loss=0.267\n",
      "INFO:tensorflow:Step 11800 per-step time 1.086s loss=0.279\n",
      "I0403 00:38:22.901220 139984567650112 model_lib_v2.py:682] Step 11800 per-step time 1.086s loss=0.279\n",
      "INFO:tensorflow:Step 11900 per-step time 0.995s loss=0.290\n",
      "I0403 00:40:10.320930 139984567650112 model_lib_v2.py:682] Step 11900 per-step time 0.995s loss=0.290\n",
      "INFO:tensorflow:Step 12000 per-step time 1.211s loss=0.292\n",
      "I0403 00:41:58.031522 139984567650112 model_lib_v2.py:682] Step 12000 per-step time 1.211s loss=0.292\n",
      "INFO:tensorflow:Step 12100 per-step time 1.029s loss=0.293\n",
      "I0403 00:43:48.367324 139984567650112 model_lib_v2.py:682] Step 12100 per-step time 1.029s loss=0.293\n",
      "INFO:tensorflow:Step 12200 per-step time 0.991s loss=0.282\n",
      "I0403 00:45:35.810326 139984567650112 model_lib_v2.py:682] Step 12200 per-step time 0.991s loss=0.282\n",
      "INFO:tensorflow:Step 12300 per-step time 1.139s loss=0.274\n",
      "I0403 00:47:23.545711 139984567650112 model_lib_v2.py:682] Step 12300 per-step time 1.139s loss=0.274\n",
      "INFO:tensorflow:Step 12400 per-step time 1.145s loss=0.292\n",
      "I0403 00:49:12.010803 139984567650112 model_lib_v2.py:682] Step 12400 per-step time 1.145s loss=0.292\n",
      "INFO:tensorflow:Step 12500 per-step time 1.046s loss=0.306\n",
      "I0403 00:51:00.441305 139984567650112 model_lib_v2.py:682] Step 12500 per-step time 1.046s loss=0.306\n",
      "INFO:tensorflow:Step 12600 per-step time 1.087s loss=0.336\n",
      "I0403 00:52:46.622534 139984567650112 model_lib_v2.py:682] Step 12600 per-step time 1.087s loss=0.336\n",
      "INFO:tensorflow:Step 12700 per-step time 1.153s loss=0.280\n",
      "I0403 00:54:34.179137 139984567650112 model_lib_v2.py:682] Step 12700 per-step time 1.153s loss=0.280\n",
      "INFO:tensorflow:Step 12800 per-step time 0.997s loss=0.253\n",
      "I0403 00:56:22.383224 139984567650112 model_lib_v2.py:682] Step 12800 per-step time 0.997s loss=0.253\n",
      "INFO:tensorflow:Step 12900 per-step time 1.040s loss=0.266\n",
      "I0403 00:58:10.008981 139984567650112 model_lib_v2.py:682] Step 12900 per-step time 1.040s loss=0.266\n",
      "INFO:tensorflow:Step 13000 per-step time 0.988s loss=0.353\n",
      "I0403 00:59:59.074233 139984567650112 model_lib_v2.py:682] Step 13000 per-step time 0.988s loss=0.353\n",
      "INFO:tensorflow:Step 13100 per-step time 1.117s loss=0.289\n",
      "I0403 01:01:50.059406 139984567650112 model_lib_v2.py:682] Step 13100 per-step time 1.117s loss=0.289\n",
      "INFO:tensorflow:Step 13200 per-step time 1.102s loss=0.316\n",
      "I0403 01:03:37.396456 139984567650112 model_lib_v2.py:682] Step 13200 per-step time 1.102s loss=0.316\n",
      "INFO:tensorflow:Step 13300 per-step time 0.964s loss=0.321\n",
      "I0403 01:05:25.831201 139984567650112 model_lib_v2.py:682] Step 13300 per-step time 0.964s loss=0.321\n",
      "INFO:tensorflow:Step 13400 per-step time 1.047s loss=0.390\n",
      "I0403 01:07:11.281728 139984567650112 model_lib_v2.py:682] Step 13400 per-step time 1.047s loss=0.390\n",
      "INFO:tensorflow:Step 13500 per-step time 1.095s loss=0.279\n",
      "I0403 01:08:58.616344 139984567650112 model_lib_v2.py:682] Step 13500 per-step time 1.095s loss=0.279\n",
      "INFO:tensorflow:Step 13600 per-step time 1.070s loss=0.290\n",
      "I0403 01:10:46.543106 139984567650112 model_lib_v2.py:682] Step 13600 per-step time 1.070s loss=0.290\n",
      "INFO:tensorflow:Step 13700 per-step time 1.067s loss=0.241\n",
      "I0403 01:12:33.001641 139984567650112 model_lib_v2.py:682] Step 13700 per-step time 1.067s loss=0.241\n",
      "INFO:tensorflow:Step 13800 per-step time 1.066s loss=0.266\n",
      "I0403 01:14:21.796292 139984567650112 model_lib_v2.py:682] Step 13800 per-step time 1.066s loss=0.266\n",
      "INFO:tensorflow:Step 13900 per-step time 1.086s loss=0.277\n",
      "I0403 01:16:10.135179 139984567650112 model_lib_v2.py:682] Step 13900 per-step time 1.086s loss=0.277\n",
      "INFO:tensorflow:Step 14000 per-step time 1.064s loss=0.250\n",
      "I0403 01:17:58.225140 139984567650112 model_lib_v2.py:682] Step 14000 per-step time 1.064s loss=0.250\n",
      "INFO:tensorflow:Step 14100 per-step time 1.079s loss=0.264\n",
      "I0403 01:19:47.889692 139984567650112 model_lib_v2.py:682] Step 14100 per-step time 1.079s loss=0.264\n",
      "INFO:tensorflow:Step 14200 per-step time 1.255s loss=0.257\n",
      "I0403 01:21:37.059245 139984567650112 model_lib_v2.py:682] Step 14200 per-step time 1.255s loss=0.257\n",
      "INFO:tensorflow:Step 14300 per-step time 1.099s loss=0.245\n",
      "I0403 01:23:24.848358 139984567650112 model_lib_v2.py:682] Step 14300 per-step time 1.099s loss=0.245\n",
      "INFO:tensorflow:Step 14400 per-step time 1.026s loss=0.255\n",
      "I0403 01:25:12.612386 139984567650112 model_lib_v2.py:682] Step 14400 per-step time 1.026s loss=0.255\n",
      "INFO:tensorflow:Step 14500 per-step time 1.057s loss=0.273\n",
      "I0403 01:27:00.517911 139984567650112 model_lib_v2.py:682] Step 14500 per-step time 1.057s loss=0.273\n",
      "INFO:tensorflow:Step 14600 per-step time 1.095s loss=0.263\n",
      "I0403 01:28:48.387659 139984567650112 model_lib_v2.py:682] Step 14600 per-step time 1.095s loss=0.263\n",
      "INFO:tensorflow:Step 14700 per-step time 1.048s loss=0.270\n",
      "I0403 01:30:36.824753 139984567650112 model_lib_v2.py:682] Step 14700 per-step time 1.048s loss=0.270\n",
      "INFO:tensorflow:Step 14800 per-step time 1.074s loss=0.271\n",
      "I0403 01:32:23.592725 139984567650112 model_lib_v2.py:682] Step 14800 per-step time 1.074s loss=0.271\n",
      "INFO:tensorflow:Step 14900 per-step time 0.992s loss=0.239\n",
      "I0403 01:34:10.915232 139984567650112 model_lib_v2.py:682] Step 14900 per-step time 0.992s loss=0.239\n",
      "INFO:tensorflow:Step 15000 per-step time 1.111s loss=0.302\n",
      "I0403 01:35:58.261023 139984567650112 model_lib_v2.py:682] Step 15000 per-step time 1.111s loss=0.302\n",
      "INFO:tensorflow:Step 15100 per-step time 1.194s loss=0.285\n",
      "I0403 01:37:48.673398 139984567650112 model_lib_v2.py:682] Step 15100 per-step time 1.194s loss=0.285\n",
      "INFO:tensorflow:Step 15200 per-step time 1.130s loss=0.238\n",
      "I0403 01:39:36.368210 139984567650112 model_lib_v2.py:682] Step 15200 per-step time 1.130s loss=0.238\n",
      "INFO:tensorflow:Step 15300 per-step time 0.975s loss=0.248\n",
      "I0403 01:41:25.040925 139984567650112 model_lib_v2.py:682] Step 15300 per-step time 0.975s loss=0.248\n",
      "INFO:tensorflow:Step 15400 per-step time 1.159s loss=0.301\n",
      "I0403 01:43:11.687520 139984567650112 model_lib_v2.py:682] Step 15400 per-step time 1.159s loss=0.301\n",
      "INFO:tensorflow:Step 15500 per-step time 1.175s loss=0.244\n",
      "I0403 01:44:59.936989 139984567650112 model_lib_v2.py:682] Step 15500 per-step time 1.175s loss=0.244\n",
      "INFO:tensorflow:Step 15600 per-step time 1.018s loss=0.262\n",
      "I0403 01:46:47.493247 139984567650112 model_lib_v2.py:682] Step 15600 per-step time 1.018s loss=0.262\n",
      "INFO:tensorflow:Step 15700 per-step time 1.152s loss=0.251\n",
      "I0403 01:48:34.372940 139984567650112 model_lib_v2.py:682] Step 15700 per-step time 1.152s loss=0.251\n",
      "INFO:tensorflow:Step 15800 per-step time 1.138s loss=0.236\n",
      "I0403 01:50:21.755244 139984567650112 model_lib_v2.py:682] Step 15800 per-step time 1.138s loss=0.236\n",
      "INFO:tensorflow:Step 15900 per-step time 1.114s loss=0.252\n",
      "I0403 01:52:09.114750 139984567650112 model_lib_v2.py:682] Step 15900 per-step time 1.114s loss=0.252\n",
      "INFO:tensorflow:Step 16000 per-step time 1.096s loss=0.272\n",
      "I0403 01:53:56.370181 139984567650112 model_lib_v2.py:682] Step 16000 per-step time 1.096s loss=0.272\n",
      "INFO:tensorflow:Step 16100 per-step time 1.010s loss=0.252\n",
      "I0403 01:55:47.858698 139984567650112 model_lib_v2.py:682] Step 16100 per-step time 1.010s loss=0.252\n",
      "INFO:tensorflow:Step 16200 per-step time 1.040s loss=0.304\n",
      "I0403 01:57:35.968145 139984567650112 model_lib_v2.py:682] Step 16200 per-step time 1.040s loss=0.304\n",
      "INFO:tensorflow:Step 16300 per-step time 1.083s loss=0.275\n",
      "I0403 01:59:24.523092 139984567650112 model_lib_v2.py:682] Step 16300 per-step time 1.083s loss=0.275\n",
      "INFO:tensorflow:Step 16400 per-step time 1.108s loss=0.252\n",
      "I0403 02:01:11.214723 139984567650112 model_lib_v2.py:682] Step 16400 per-step time 1.108s loss=0.252\n",
      "INFO:tensorflow:Step 16500 per-step time 1.003s loss=0.294\n",
      "I0403 02:02:58.420170 139984567650112 model_lib_v2.py:682] Step 16500 per-step time 1.003s loss=0.294\n",
      "INFO:tensorflow:Step 16600 per-step time 1.069s loss=0.249\n",
      "I0403 02:04:44.972583 139984567650112 model_lib_v2.py:682] Step 16600 per-step time 1.069s loss=0.249\n",
      "INFO:tensorflow:Step 16700 per-step time 1.115s loss=0.268\n",
      "I0403 02:06:32.100745 139984567650112 model_lib_v2.py:682] Step 16700 per-step time 1.115s loss=0.268\n",
      "INFO:tensorflow:Step 16800 per-step time 1.139s loss=0.226\n",
      "I0403 02:08:20.654996 139984567650112 model_lib_v2.py:682] Step 16800 per-step time 1.139s loss=0.226\n",
      "INFO:tensorflow:Step 16900 per-step time 1.132s loss=0.232\n",
      "I0403 02:10:08.455682 139984567650112 model_lib_v2.py:682] Step 16900 per-step time 1.132s loss=0.232\n",
      "INFO:tensorflow:Step 17000 per-step time 1.157s loss=0.238\n",
      "I0403 02:11:55.901225 139984567650112 model_lib_v2.py:682] Step 17000 per-step time 1.157s loss=0.238\n",
      "INFO:tensorflow:Step 17100 per-step time 1.084s loss=0.244\n",
      "I0403 02:13:45.844776 139984567650112 model_lib_v2.py:682] Step 17100 per-step time 1.084s loss=0.244\n",
      "INFO:tensorflow:Step 17200 per-step time 1.080s loss=0.256\n",
      "I0403 02:15:34.190745 139984567650112 model_lib_v2.py:682] Step 17200 per-step time 1.080s loss=0.256\n",
      "INFO:tensorflow:Step 17300 per-step time 1.206s loss=0.247\n",
      "I0403 02:17:22.308116 139984567650112 model_lib_v2.py:682] Step 17300 per-step time 1.206s loss=0.247\n",
      "INFO:tensorflow:Step 17400 per-step time 1.167s loss=0.255\n",
      "I0403 02:19:10.398378 139984567650112 model_lib_v2.py:682] Step 17400 per-step time 1.167s loss=0.255\n",
      "INFO:tensorflow:Step 17500 per-step time 1.083s loss=0.237\n",
      "I0403 02:20:58.151495 139984567650112 model_lib_v2.py:682] Step 17500 per-step time 1.083s loss=0.237\n",
      "INFO:tensorflow:Step 17600 per-step time 1.002s loss=0.259\n",
      "I0403 02:22:46.440145 139984567650112 model_lib_v2.py:682] Step 17600 per-step time 1.002s loss=0.259\n",
      "INFO:tensorflow:Step 17700 per-step time 1.112s loss=0.766\n",
      "I0403 02:24:35.056293 139984567650112 model_lib_v2.py:682] Step 17700 per-step time 1.112s loss=0.766\n",
      "INFO:tensorflow:Step 17800 per-step time 0.985s loss=0.304\n",
      "I0403 02:26:23.142724 139984567650112 model_lib_v2.py:682] Step 17800 per-step time 0.985s loss=0.304\n",
      "INFO:tensorflow:Step 17900 per-step time 1.038s loss=0.274\n",
      "I0403 02:28:10.355010 139984567650112 model_lib_v2.py:682] Step 17900 per-step time 1.038s loss=0.274\n",
      "INFO:tensorflow:Step 18000 per-step time 1.083s loss=0.231\n",
      "I0403 02:29:56.762422 139984567650112 model_lib_v2.py:682] Step 18000 per-step time 1.083s loss=0.231\n",
      "INFO:tensorflow:Step 18100 per-step time 1.052s loss=0.309\n",
      "I0403 02:31:46.696244 139984567650112 model_lib_v2.py:682] Step 18100 per-step time 1.052s loss=0.309\n",
      "INFO:tensorflow:Step 18200 per-step time 1.046s loss=0.217\n",
      "I0403 02:33:35.277625 139984567650112 model_lib_v2.py:682] Step 18200 per-step time 1.046s loss=0.217\n",
      "INFO:tensorflow:Step 18300 per-step time 1.083s loss=0.294\n",
      "I0403 02:35:22.926933 139984567650112 model_lib_v2.py:682] Step 18300 per-step time 1.083s loss=0.294\n",
      "INFO:tensorflow:Step 18400 per-step time 1.117s loss=0.253\n",
      "I0403 02:37:10.078366 139984567650112 model_lib_v2.py:682] Step 18400 per-step time 1.117s loss=0.253\n",
      "INFO:tensorflow:Step 18500 per-step time 1.115s loss=0.251\n",
      "I0403 02:38:58.590016 139984567650112 model_lib_v2.py:682] Step 18500 per-step time 1.115s loss=0.251\n",
      "INFO:tensorflow:Step 18600 per-step time 1.149s loss=0.259\n",
      "I0403 02:40:45.832423 139984567650112 model_lib_v2.py:682] Step 18600 per-step time 1.149s loss=0.259\n",
      "INFO:tensorflow:Step 18700 per-step time 1.055s loss=0.284\n",
      "I0403 02:42:33.551659 139984567650112 model_lib_v2.py:682] Step 18700 per-step time 1.055s loss=0.284\n",
      "INFO:tensorflow:Step 18800 per-step time 1.125s loss=0.253\n",
      "I0403 02:44:21.066481 139984567650112 model_lib_v2.py:682] Step 18800 per-step time 1.125s loss=0.253\n",
      "INFO:tensorflow:Step 18900 per-step time 1.114s loss=0.244\n",
      "I0403 02:46:08.859089 139984567650112 model_lib_v2.py:682] Step 18900 per-step time 1.114s loss=0.244\n",
      "INFO:tensorflow:Step 19000 per-step time 0.976s loss=0.233\n",
      "I0403 02:47:56.581308 139984567650112 model_lib_v2.py:682] Step 19000 per-step time 0.976s loss=0.233\n",
      "INFO:tensorflow:Step 19100 per-step time 1.136s loss=0.235\n",
      "I0403 02:49:46.577083 139984567650112 model_lib_v2.py:682] Step 19100 per-step time 1.136s loss=0.235\n",
      "INFO:tensorflow:Step 19200 per-step time 1.130s loss=0.262\n",
      "I0403 02:51:35.216004 139984567650112 model_lib_v2.py:682] Step 19200 per-step time 1.130s loss=0.262\n",
      "INFO:tensorflow:Step 19300 per-step time 1.129s loss=0.259\n",
      "I0403 02:53:22.622286 139984567650112 model_lib_v2.py:682] Step 19300 per-step time 1.129s loss=0.259\n",
      "INFO:tensorflow:Step 19400 per-step time 1.143s loss=0.307\n",
      "I0403 02:55:10.903337 139984567650112 model_lib_v2.py:682] Step 19400 per-step time 1.143s loss=0.307\n",
      "INFO:tensorflow:Step 19500 per-step time 1.050s loss=0.231\n",
      "I0403 02:56:58.320877 139984567650112 model_lib_v2.py:682] Step 19500 per-step time 1.050s loss=0.231\n",
      "INFO:tensorflow:Step 19600 per-step time 1.075s loss=0.246\n",
      "I0403 02:58:46.703940 139984567650112 model_lib_v2.py:682] Step 19600 per-step time 1.075s loss=0.246\n",
      "INFO:tensorflow:Step 19700 per-step time 1.036s loss=0.245\n",
      "I0403 03:00:34.031582 139984567650112 model_lib_v2.py:682] Step 19700 per-step time 1.036s loss=0.245\n",
      "INFO:tensorflow:Step 19800 per-step time 1.080s loss=0.260\n",
      "I0403 03:02:21.863913 139984567650112 model_lib_v2.py:682] Step 19800 per-step time 1.080s loss=0.260\n",
      "INFO:tensorflow:Step 19900 per-step time 1.165s loss=0.219\n",
      "I0403 03:04:09.969482 139984567650112 model_lib_v2.py:682] Step 19900 per-step time 1.165s loss=0.219\n",
      "INFO:tensorflow:Step 20000 per-step time 1.086s loss=0.251\n",
      "I0403 03:05:56.882315 139984567650112 model_lib_v2.py:682] Step 20000 per-step time 1.086s loss=0.251\n",
      "INFO:tensorflow:Step 20100 per-step time 1.085s loss=0.294\n",
      "I0403 03:07:46.716007 139984567650112 model_lib_v2.py:682] Step 20100 per-step time 1.085s loss=0.294\n",
      "INFO:tensorflow:Step 20200 per-step time 1.087s loss=0.210\n",
      "I0403 03:09:33.031580 139984567650112 model_lib_v2.py:682] Step 20200 per-step time 1.087s loss=0.210\n",
      "INFO:tensorflow:Step 20300 per-step time 1.079s loss=0.284\n",
      "I0403 03:11:19.898903 139984567650112 model_lib_v2.py:682] Step 20300 per-step time 1.079s loss=0.284\n",
      "INFO:tensorflow:Step 20400 per-step time 1.106s loss=0.276\n",
      "I0403 03:13:07.401428 139984567650112 model_lib_v2.py:682] Step 20400 per-step time 1.106s loss=0.276\n",
      "INFO:tensorflow:Step 20500 per-step time 1.157s loss=0.244\n",
      "I0403 03:14:55.513119 139984567650112 model_lib_v2.py:682] Step 20500 per-step time 1.157s loss=0.244\n",
      "INFO:tensorflow:Step 20600 per-step time 0.995s loss=0.344\n",
      "I0403 03:16:43.178435 139984567650112 model_lib_v2.py:682] Step 20600 per-step time 0.995s loss=0.344\n",
      "INFO:tensorflow:Step 20700 per-step time 1.100s loss=0.221\n",
      "I0403 03:18:30.235520 139984567650112 model_lib_v2.py:682] Step 20700 per-step time 1.100s loss=0.221\n",
      "INFO:tensorflow:Step 20800 per-step time 0.990s loss=0.283\n",
      "I0403 03:20:17.614760 139984567650112 model_lib_v2.py:682] Step 20800 per-step time 0.990s loss=0.283\n",
      "INFO:tensorflow:Step 20900 per-step time 1.119s loss=0.245\n",
      "I0403 03:22:06.798726 139984567650112 model_lib_v2.py:682] Step 20900 per-step time 1.119s loss=0.245\n",
      "INFO:tensorflow:Step 21000 per-step time 1.093s loss=0.240\n",
      "I0403 03:23:54.465486 139984567650112 model_lib_v2.py:682] Step 21000 per-step time 1.093s loss=0.240\n",
      "INFO:tensorflow:Step 21100 per-step time 1.114s loss=0.268\n",
      "I0403 03:25:45.347041 139984567650112 model_lib_v2.py:682] Step 21100 per-step time 1.114s loss=0.268\n",
      "INFO:tensorflow:Step 21200 per-step time 1.057s loss=0.256\n",
      "I0403 03:27:33.299993 139984567650112 model_lib_v2.py:682] Step 21200 per-step time 1.057s loss=0.256\n",
      "INFO:tensorflow:Step 21300 per-step time 1.074s loss=0.290\n",
      "I0403 03:29:21.954827 139984567650112 model_lib_v2.py:682] Step 21300 per-step time 1.074s loss=0.290\n",
      "INFO:tensorflow:Step 21400 per-step time 0.969s loss=0.215\n",
      "I0403 03:31:08.990655 139984567650112 model_lib_v2.py:682] Step 21400 per-step time 0.969s loss=0.215\n",
      "INFO:tensorflow:Step 21500 per-step time 1.080s loss=0.244\n",
      "I0403 03:32:56.525145 139984567650112 model_lib_v2.py:682] Step 21500 per-step time 1.080s loss=0.244\n",
      "INFO:tensorflow:Step 21600 per-step time 0.976s loss=0.260\n",
      "I0403 03:34:45.064071 139984567650112 model_lib_v2.py:682] Step 21600 per-step time 0.976s loss=0.260\n",
      "INFO:tensorflow:Step 21700 per-step time 1.089s loss=0.255\n",
      "I0403 03:36:33.498072 139984567650112 model_lib_v2.py:682] Step 21700 per-step time 1.089s loss=0.255\n",
      "INFO:tensorflow:Step 21800 per-step time 0.994s loss=0.283\n",
      "I0403 03:38:20.262003 139984567650112 model_lib_v2.py:682] Step 21800 per-step time 0.994s loss=0.283\n",
      "INFO:tensorflow:Step 21900 per-step time 1.008s loss=0.246\n",
      "I0403 03:40:07.641381 139984567650112 model_lib_v2.py:682] Step 21900 per-step time 1.008s loss=0.246\n",
      "INFO:tensorflow:Step 22000 per-step time 1.114s loss=0.233\n",
      "I0403 03:41:56.034640 139984567650112 model_lib_v2.py:682] Step 22000 per-step time 1.114s loss=0.233\n",
      "INFO:tensorflow:Step 22100 per-step time 1.060s loss=0.333\n",
      "I0403 03:43:45.431043 139984567650112 model_lib_v2.py:682] Step 22100 per-step time 1.060s loss=0.333\n",
      "INFO:tensorflow:Step 22200 per-step time 1.009s loss=0.245\n",
      "I0403 03:45:32.995403 139984567650112 model_lib_v2.py:682] Step 22200 per-step time 1.009s loss=0.245\n",
      "INFO:tensorflow:Step 22300 per-step time 1.089s loss=0.264\n",
      "I0403 03:47:20.181863 139984567650112 model_lib_v2.py:682] Step 22300 per-step time 1.089s loss=0.264\n",
      "INFO:tensorflow:Step 22400 per-step time 1.081s loss=0.277\n",
      "I0403 03:49:06.097832 139984567650112 model_lib_v2.py:682] Step 22400 per-step time 1.081s loss=0.277\n",
      "INFO:tensorflow:Step 22500 per-step time 1.153s loss=0.208\n",
      "I0403 03:50:53.169092 139984567650112 model_lib_v2.py:682] Step 22500 per-step time 1.153s loss=0.208\n",
      "INFO:tensorflow:Step 22600 per-step time 1.100s loss=0.306\n",
      "I0403 03:52:41.114607 139984567650112 model_lib_v2.py:682] Step 22600 per-step time 1.100s loss=0.306\n",
      "INFO:tensorflow:Step 22700 per-step time 1.035s loss=0.214\n",
      "I0403 03:54:28.755327 139984567650112 model_lib_v2.py:682] Step 22700 per-step time 1.035s loss=0.214\n",
      "INFO:tensorflow:Step 22800 per-step time 1.153s loss=0.253\n",
      "I0403 03:56:17.282078 139984567650112 model_lib_v2.py:682] Step 22800 per-step time 1.153s loss=0.253\n",
      "INFO:tensorflow:Step 22900 per-step time 1.124s loss=0.234\n",
      "I0403 03:58:04.825808 139984567650112 model_lib_v2.py:682] Step 22900 per-step time 1.124s loss=0.234\n",
      "INFO:tensorflow:Step 23000 per-step time 0.988s loss=0.242\n",
      "I0403 03:59:52.382141 139984567650112 model_lib_v2.py:682] Step 23000 per-step time 0.988s loss=0.242\n",
      "INFO:tensorflow:Step 23100 per-step time 1.019s loss=0.208\n",
      "I0403 04:01:44.787343 139984567650112 model_lib_v2.py:682] Step 23100 per-step time 1.019s loss=0.208\n",
      "INFO:tensorflow:Step 23200 per-step time 1.138s loss=0.235\n",
      "I0403 04:03:32.538826 139984567650112 model_lib_v2.py:682] Step 23200 per-step time 1.138s loss=0.235\n",
      "INFO:tensorflow:Step 23300 per-step time 1.032s loss=0.241\n",
      "I0403 04:05:19.798413 139984567650112 model_lib_v2.py:682] Step 23300 per-step time 1.032s loss=0.241\n",
      "INFO:tensorflow:Step 23400 per-step time 1.074s loss=0.237\n",
      "I0403 04:07:07.855831 139984567650112 model_lib_v2.py:682] Step 23400 per-step time 1.074s loss=0.237\n",
      "INFO:tensorflow:Step 23500 per-step time 1.085s loss=0.244\n",
      "I0403 04:08:56.318663 139984567650112 model_lib_v2.py:682] Step 23500 per-step time 1.085s loss=0.244\n",
      "INFO:tensorflow:Step 23600 per-step time 1.025s loss=0.209\n",
      "I0403 04:10:44.390678 139984567650112 model_lib_v2.py:682] Step 23600 per-step time 1.025s loss=0.209\n",
      "INFO:tensorflow:Step 23700 per-step time 1.112s loss=0.230\n",
      "I0403 04:12:31.936582 139984567650112 model_lib_v2.py:682] Step 23700 per-step time 1.112s loss=0.230\n",
      "INFO:tensorflow:Step 23800 per-step time 1.146s loss=0.279\n",
      "I0403 04:14:19.236389 139984567650112 model_lib_v2.py:682] Step 23800 per-step time 1.146s loss=0.279\n",
      "INFO:tensorflow:Step 23900 per-step time 1.069s loss=0.227\n",
      "I0403 04:16:06.962813 139984567650112 model_lib_v2.py:682] Step 23900 per-step time 1.069s loss=0.227\n",
      "INFO:tensorflow:Step 24000 per-step time 1.104s loss=0.269\n",
      "I0403 04:17:54.703236 139984567650112 model_lib_v2.py:682] Step 24000 per-step time 1.104s loss=0.269\n",
      "INFO:tensorflow:Step 24100 per-step time 1.012s loss=0.211\n",
      "I0403 04:19:45.237538 139984567650112 model_lib_v2.py:682] Step 24100 per-step time 1.012s loss=0.211\n",
      "INFO:tensorflow:Step 24200 per-step time 1.091s loss=0.308\n",
      "I0403 04:21:32.781727 139984567650112 model_lib_v2.py:682] Step 24200 per-step time 1.091s loss=0.308\n",
      "INFO:tensorflow:Step 24300 per-step time 1.105s loss=0.223\n",
      "I0403 04:23:20.644187 139984567650112 model_lib_v2.py:682] Step 24300 per-step time 1.105s loss=0.223\n",
      "INFO:tensorflow:Step 24400 per-step time 1.180s loss=0.233\n",
      "I0403 04:25:07.688701 139984567650112 model_lib_v2.py:682] Step 24400 per-step time 1.180s loss=0.233\n",
      "INFO:tensorflow:Step 24500 per-step time 0.998s loss=0.220\n",
      "I0403 04:26:54.637755 139984567650112 model_lib_v2.py:682] Step 24500 per-step time 0.998s loss=0.220\n",
      "INFO:tensorflow:Step 24600 per-step time 1.079s loss=0.230\n",
      "I0403 04:28:41.658594 139984567650112 model_lib_v2.py:682] Step 24600 per-step time 1.079s loss=0.230\n",
      "INFO:tensorflow:Step 24700 per-step time 1.010s loss=0.228\n",
      "I0403 04:30:27.092528 139984567650112 model_lib_v2.py:682] Step 24700 per-step time 1.010s loss=0.228\n",
      "INFO:tensorflow:Step 24800 per-step time 1.118s loss=0.259\n",
      "I0403 04:32:15.319602 139984567650112 model_lib_v2.py:682] Step 24800 per-step time 1.118s loss=0.259\n",
      "INFO:tensorflow:Step 24900 per-step time 1.175s loss=0.251\n",
      "I0403 04:34:03.924684 139984567650112 model_lib_v2.py:682] Step 24900 per-step time 1.175s loss=0.251\n",
      "INFO:tensorflow:Step 25000 per-step time 1.145s loss=0.229\n",
      "I0403 04:35:52.662652 139984567650112 model_lib_v2.py:682] Step 25000 per-step time 1.145s loss=0.229\n",
      "INFO:tensorflow:Step 25100 per-step time 0.981s loss=0.321\n",
      "I0403 04:37:43.558532 139984567650112 model_lib_v2.py:682] Step 25100 per-step time 0.981s loss=0.321\n",
      "INFO:tensorflow:Step 25200 per-step time 1.008s loss=0.321\n",
      "I0403 04:39:30.884358 139984567650112 model_lib_v2.py:682] Step 25200 per-step time 1.008s loss=0.321\n",
      "INFO:tensorflow:Step 25300 per-step time 0.993s loss=0.226\n",
      "I0403 04:41:17.786058 139984567650112 model_lib_v2.py:682] Step 25300 per-step time 0.993s loss=0.226\n",
      "INFO:tensorflow:Step 25400 per-step time 1.089s loss=0.207\n",
      "I0403 04:43:06.094509 139984567650112 model_lib_v2.py:682] Step 25400 per-step time 1.089s loss=0.207\n",
      "INFO:tensorflow:Step 25500 per-step time 1.086s loss=0.223\n",
      "I0403 04:44:53.665993 139984567650112 model_lib_v2.py:682] Step 25500 per-step time 1.086s loss=0.223\n",
      "INFO:tensorflow:Step 25600 per-step time 1.070s loss=0.210\n",
      "I0403 04:46:40.610287 139984567650112 model_lib_v2.py:682] Step 25600 per-step time 1.070s loss=0.210\n",
      "INFO:tensorflow:Step 25700 per-step time 1.081s loss=0.241\n",
      "I0403 04:48:28.227723 139984567650112 model_lib_v2.py:682] Step 25700 per-step time 1.081s loss=0.241\n",
      "INFO:tensorflow:Step 25800 per-step time 1.139s loss=0.224\n",
      "I0403 04:50:15.577513 139984567650112 model_lib_v2.py:682] Step 25800 per-step time 1.139s loss=0.224\n",
      "INFO:tensorflow:Step 25900 per-step time 1.257s loss=0.213\n",
      "I0403 04:52:02.940852 139984567650112 model_lib_v2.py:682] Step 25900 per-step time 1.257s loss=0.213\n",
      "INFO:tensorflow:Step 26000 per-step time 0.985s loss=0.223\n",
      "I0403 04:53:51.179942 139984567650112 model_lib_v2.py:682] Step 26000 per-step time 0.985s loss=0.223\n",
      "INFO:tensorflow:Step 26100 per-step time 1.031s loss=0.212\n",
      "I0403 04:55:40.984964 139984567650112 model_lib_v2.py:682] Step 26100 per-step time 1.031s loss=0.212\n",
      "INFO:tensorflow:Step 26200 per-step time 1.094s loss=0.213\n",
      "I0403 04:57:29.299664 139984567650112 model_lib_v2.py:682] Step 26200 per-step time 1.094s loss=0.213\n",
      "INFO:tensorflow:Step 26300 per-step time 1.278s loss=0.226\n",
      "I0403 04:59:17.086513 139984567650112 model_lib_v2.py:682] Step 26300 per-step time 1.278s loss=0.226\n",
      "INFO:tensorflow:Step 26400 per-step time 1.075s loss=0.283\n",
      "I0403 05:01:04.531633 139984567650112 model_lib_v2.py:682] Step 26400 per-step time 1.075s loss=0.283\n",
      "INFO:tensorflow:Step 26500 per-step time 1.060s loss=0.228\n",
      "I0403 05:02:51.812376 139984567650112 model_lib_v2.py:682] Step 26500 per-step time 1.060s loss=0.228\n",
      "INFO:tensorflow:Step 26600 per-step time 1.089s loss=0.237\n",
      "I0403 05:04:38.503783 139984567650112 model_lib_v2.py:682] Step 26600 per-step time 1.089s loss=0.237\n",
      "INFO:tensorflow:Step 26700 per-step time 1.130s loss=0.203\n",
      "I0403 05:06:25.814743 139984567650112 model_lib_v2.py:682] Step 26700 per-step time 1.130s loss=0.203\n",
      "INFO:tensorflow:Step 26800 per-step time 1.108s loss=0.202\n",
      "I0403 05:08:13.125706 139984567650112 model_lib_v2.py:682] Step 26800 per-step time 1.108s loss=0.202\n",
      "INFO:tensorflow:Step 26900 per-step time 1.100s loss=0.210\n",
      "I0403 05:10:00.471011 139984567650112 model_lib_v2.py:682] Step 26900 per-step time 1.100s loss=0.210\n",
      "INFO:tensorflow:Step 27000 per-step time 1.094s loss=0.273\n",
      "I0403 05:11:49.186588 139984567650112 model_lib_v2.py:682] Step 27000 per-step time 1.094s loss=0.273\n",
      "INFO:tensorflow:Step 27100 per-step time 1.101s loss=0.270\n",
      "I0403 05:13:39.959618 139984567650112 model_lib_v2.py:682] Step 27100 per-step time 1.101s loss=0.270\n",
      "INFO:tensorflow:Step 27200 per-step time 1.102s loss=0.276\n",
      "I0403 05:15:28.572854 139984567650112 model_lib_v2.py:682] Step 27200 per-step time 1.102s loss=0.276\n",
      "INFO:tensorflow:Step 27300 per-step time 1.089s loss=0.273\n",
      "I0403 05:17:17.012121 139984567650112 model_lib_v2.py:682] Step 27300 per-step time 1.089s loss=0.273\n",
      "INFO:tensorflow:Step 27400 per-step time 1.022s loss=0.258\n",
      "I0403 05:19:03.960230 139984567650112 model_lib_v2.py:682] Step 27400 per-step time 1.022s loss=0.258\n",
      "INFO:tensorflow:Step 27500 per-step time 0.974s loss=0.230\n",
      "I0403 05:20:51.129952 139984567650112 model_lib_v2.py:682] Step 27500 per-step time 0.974s loss=0.230\n",
      "INFO:tensorflow:Step 27600 per-step time 1.094s loss=0.201\n",
      "I0403 05:22:38.486017 139984567650112 model_lib_v2.py:682] Step 27600 per-step time 1.094s loss=0.201\n",
      "INFO:tensorflow:Step 27700 per-step time 1.097s loss=0.285\n",
      "I0403 05:24:26.577534 139984567650112 model_lib_v2.py:682] Step 27700 per-step time 1.097s loss=0.285\n",
      "INFO:tensorflow:Step 27800 per-step time 1.016s loss=0.221\n",
      "I0403 05:26:14.034245 139984567650112 model_lib_v2.py:682] Step 27800 per-step time 1.016s loss=0.221\n",
      "INFO:tensorflow:Step 27900 per-step time 1.002s loss=0.241\n",
      "I0403 05:28:03.376119 139984567650112 model_lib_v2.py:682] Step 27900 per-step time 1.002s loss=0.241\n",
      "INFO:tensorflow:Step 28000 per-step time 1.009s loss=0.205\n",
      "I0403 05:29:50.673890 139984567650112 model_lib_v2.py:682] Step 28000 per-step time 1.009s loss=0.205\n",
      "INFO:tensorflow:Step 28100 per-step time 1.129s loss=0.208\n",
      "I0403 05:31:40.625469 139984567650112 model_lib_v2.py:682] Step 28100 per-step time 1.129s loss=0.208\n",
      "INFO:tensorflow:Step 28200 per-step time 1.110s loss=0.257\n",
      "I0403 05:33:28.204051 139984567650112 model_lib_v2.py:682] Step 28200 per-step time 1.110s loss=0.257\n",
      "INFO:tensorflow:Step 28300 per-step time 1.060s loss=0.246\n",
      "I0403 05:35:15.626955 139984567650112 model_lib_v2.py:682] Step 28300 per-step time 1.060s loss=0.246\n",
      "INFO:tensorflow:Step 28400 per-step time 1.099s loss=0.208\n",
      "I0403 05:37:02.496170 139984567650112 model_lib_v2.py:682] Step 28400 per-step time 1.099s loss=0.208\n",
      "INFO:tensorflow:Step 28500 per-step time 1.020s loss=0.205\n",
      "I0403 05:38:49.478598 139984567650112 model_lib_v2.py:682] Step 28500 per-step time 1.020s loss=0.205\n",
      "INFO:tensorflow:Step 28600 per-step time 0.990s loss=0.261\n",
      "I0403 05:40:36.291395 139984567650112 model_lib_v2.py:682] Step 28600 per-step time 0.990s loss=0.261\n",
      "INFO:tensorflow:Step 28700 per-step time 1.099s loss=0.228\n",
      "I0403 05:42:23.312485 139984567650112 model_lib_v2.py:682] Step 28700 per-step time 1.099s loss=0.228\n",
      "INFO:tensorflow:Step 28800 per-step time 1.006s loss=0.256\n",
      "I0403 05:44:10.995727 139984567650112 model_lib_v2.py:682] Step 28800 per-step time 1.006s loss=0.256\n",
      "INFO:tensorflow:Step 28900 per-step time 1.045s loss=0.261\n",
      "I0403 05:45:58.438236 139984567650112 model_lib_v2.py:682] Step 28900 per-step time 1.045s loss=0.261\n",
      "INFO:tensorflow:Step 29000 per-step time 0.990s loss=0.249\n",
      "I0403 05:47:44.697755 139984567650112 model_lib_v2.py:682] Step 29000 per-step time 0.990s loss=0.249\n",
      "INFO:tensorflow:Step 29100 per-step time 1.014s loss=0.230\n",
      "I0403 05:49:34.189200 139984567650112 model_lib_v2.py:682] Step 29100 per-step time 1.014s loss=0.230\n",
      "INFO:tensorflow:Step 29200 per-step time 1.025s loss=0.222\n",
      "I0403 05:51:21.313232 139984567650112 model_lib_v2.py:682] Step 29200 per-step time 1.025s loss=0.222\n",
      "INFO:tensorflow:Step 29300 per-step time 1.011s loss=0.224\n",
      "I0403 05:53:08.571279 139984567650112 model_lib_v2.py:682] Step 29300 per-step time 1.011s loss=0.224\n",
      "INFO:tensorflow:Step 29400 per-step time 1.048s loss=0.258\n",
      "I0403 05:54:57.129274 139984567650112 model_lib_v2.py:682] Step 29400 per-step time 1.048s loss=0.258\n",
      "INFO:tensorflow:Step 29500 per-step time 1.009s loss=0.258\n",
      "I0403 05:56:46.108194 139984567650112 model_lib_v2.py:682] Step 29500 per-step time 1.009s loss=0.258\n",
      "INFO:tensorflow:Step 29600 per-step time 1.137s loss=0.210\n",
      "I0403 05:58:33.619249 139984567650112 model_lib_v2.py:682] Step 29600 per-step time 1.137s loss=0.210\n",
      "INFO:tensorflow:Step 29700 per-step time 1.143s loss=0.222\n",
      "I0403 06:00:22.282478 139984567650112 model_lib_v2.py:682] Step 29700 per-step time 1.143s loss=0.222\n",
      "INFO:tensorflow:Step 29800 per-step time 1.013s loss=0.226\n",
      "I0403 06:02:09.709135 139984567650112 model_lib_v2.py:682] Step 29800 per-step time 1.013s loss=0.226\n",
      "INFO:tensorflow:Step 29900 per-step time 1.028s loss=0.229\n",
      "I0403 06:03:57.458889 139984567650112 model_lib_v2.py:682] Step 29900 per-step time 1.028s loss=0.229\n",
      "INFO:tensorflow:Step 30000 per-step time 1.046s loss=0.277\n",
      "I0403 06:05:44.924369 139984567650112 model_lib_v2.py:682] Step 30000 per-step time 1.046s loss=0.277\n",
      "INFO:tensorflow:Step 30100 per-step time 1.107s loss=0.230\n",
      "I0403 06:07:37.505621 139984567650112 model_lib_v2.py:682] Step 30100 per-step time 1.107s loss=0.230\n",
      "INFO:tensorflow:Step 30200 per-step time 1.139s loss=0.260\n",
      "I0403 06:09:25.671533 139984567650112 model_lib_v2.py:682] Step 30200 per-step time 1.139s loss=0.260\n",
      "INFO:tensorflow:Step 30300 per-step time 1.064s loss=0.232\n",
      "I0403 06:11:13.141479 139984567650112 model_lib_v2.py:682] Step 30300 per-step time 1.064s loss=0.232\n",
      "INFO:tensorflow:Step 30400 per-step time 1.139s loss=0.233\n",
      "I0403 06:13:00.127189 139984567650112 model_lib_v2.py:682] Step 30400 per-step time 1.139s loss=0.233\n",
      "INFO:tensorflow:Step 30500 per-step time 1.004s loss=0.218\n",
      "I0403 06:14:47.352170 139984567650112 model_lib_v2.py:682] Step 30500 per-step time 1.004s loss=0.218\n",
      "INFO:tensorflow:Step 30600 per-step time 1.135s loss=0.220\n",
      "I0403 06:16:35.072482 139984567650112 model_lib_v2.py:682] Step 30600 per-step time 1.135s loss=0.220\n",
      "INFO:tensorflow:Step 30700 per-step time 1.111s loss=0.243\n",
      "I0403 06:18:22.326297 139984567650112 model_lib_v2.py:682] Step 30700 per-step time 1.111s loss=0.243\n",
      "INFO:tensorflow:Step 30800 per-step time 0.972s loss=0.222\n",
      "I0403 06:20:10.521581 139984567650112 model_lib_v2.py:682] Step 30800 per-step time 0.972s loss=0.222\n",
      "INFO:tensorflow:Step 30900 per-step time 1.011s loss=0.246\n",
      "I0403 06:21:57.429264 139984567650112 model_lib_v2.py:682] Step 30900 per-step time 1.011s loss=0.246\n",
      "INFO:tensorflow:Step 31000 per-step time 1.126s loss=0.277\n",
      "I0403 06:23:44.347649 139984567650112 model_lib_v2.py:682] Step 31000 per-step time 1.126s loss=0.277\n",
      "INFO:tensorflow:Step 31100 per-step time 1.046s loss=0.193\n",
      "I0403 06:25:34.429396 139984567650112 model_lib_v2.py:682] Step 31100 per-step time 1.046s loss=0.193\n",
      "INFO:tensorflow:Step 31200 per-step time 0.979s loss=0.204\n",
      "I0403 06:27:21.135102 139984567650112 model_lib_v2.py:682] Step 31200 per-step time 0.979s loss=0.204\n",
      "INFO:tensorflow:Step 31300 per-step time 1.073s loss=0.246\n",
      "I0403 06:29:08.172230 139984567650112 model_lib_v2.py:682] Step 31300 per-step time 1.073s loss=0.246\n",
      "INFO:tensorflow:Step 31400 per-step time 1.066s loss=0.232\n",
      "I0403 06:30:55.970885 139984567650112 model_lib_v2.py:682] Step 31400 per-step time 1.066s loss=0.232\n",
      "INFO:tensorflow:Step 31500 per-step time 1.123s loss=0.201\n",
      "I0403 06:32:44.164333 139984567650112 model_lib_v2.py:682] Step 31500 per-step time 1.123s loss=0.201\n",
      "INFO:tensorflow:Step 31600 per-step time 1.138s loss=0.263\n",
      "I0403 06:34:32.887449 139984567650112 model_lib_v2.py:682] Step 31600 per-step time 1.138s loss=0.263\n",
      "INFO:tensorflow:Step 31700 per-step time 1.144s loss=0.211\n",
      "I0403 06:36:21.546118 139984567650112 model_lib_v2.py:682] Step 31700 per-step time 1.144s loss=0.211\n",
      "INFO:tensorflow:Step 31800 per-step time 1.085s loss=0.233\n",
      "I0403 06:38:09.113333 139984567650112 model_lib_v2.py:682] Step 31800 per-step time 1.085s loss=0.233\n",
      "INFO:tensorflow:Step 31900 per-step time 1.109s loss=0.230\n",
      "I0403 06:39:58.044585 139984567650112 model_lib_v2.py:682] Step 31900 per-step time 1.109s loss=0.230\n",
      "INFO:tensorflow:Step 32000 per-step time 1.180s loss=0.359\n",
      "I0403 06:41:46.805597 139984567650112 model_lib_v2.py:682] Step 32000 per-step time 1.180s loss=0.359\n",
      "INFO:tensorflow:Step 32100 per-step time 1.117s loss=0.212\n",
      "I0403 06:43:38.385124 139984567650112 model_lib_v2.py:682] Step 32100 per-step time 1.117s loss=0.212\n",
      "INFO:tensorflow:Step 32200 per-step time 1.133s loss=0.254\n",
      "I0403 06:45:26.169178 139984567650112 model_lib_v2.py:682] Step 32200 per-step time 1.133s loss=0.254\n",
      "INFO:tensorflow:Step 32300 per-step time 1.113s loss=0.218\n",
      "I0403 06:47:13.963902 139984567650112 model_lib_v2.py:682] Step 32300 per-step time 1.113s loss=0.218\n",
      "INFO:tensorflow:Step 32400 per-step time 1.030s loss=0.194\n",
      "I0403 06:49:01.502800 139984567650112 model_lib_v2.py:682] Step 32400 per-step time 1.030s loss=0.194\n",
      "INFO:tensorflow:Step 32500 per-step time 1.166s loss=0.200\n",
      "I0403 06:50:49.499986 139984567650112 model_lib_v2.py:682] Step 32500 per-step time 1.166s loss=0.200\n",
      "INFO:tensorflow:Step 32600 per-step time 0.976s loss=0.261\n",
      "I0403 06:52:37.360742 139984567650112 model_lib_v2.py:682] Step 32600 per-step time 0.976s loss=0.261\n",
      "INFO:tensorflow:Step 32700 per-step time 1.082s loss=0.245\n",
      "I0403 06:54:25.488968 139984567650112 model_lib_v2.py:682] Step 32700 per-step time 1.082s loss=0.245\n",
      "INFO:tensorflow:Step 32800 per-step time 1.138s loss=0.226\n",
      "I0403 06:56:14.429587 139984567650112 model_lib_v2.py:682] Step 32800 per-step time 1.138s loss=0.226\n",
      "INFO:tensorflow:Step 32900 per-step time 1.084s loss=0.228\n",
      "I0403 06:58:02.438010 139984567650112 model_lib_v2.py:682] Step 32900 per-step time 1.084s loss=0.228\n",
      "INFO:tensorflow:Step 33000 per-step time 1.071s loss=0.216\n",
      "I0403 06:59:50.223817 139984567650112 model_lib_v2.py:682] Step 33000 per-step time 1.071s loss=0.216\n",
      "INFO:tensorflow:Step 33100 per-step time 1.010s loss=0.224\n",
      "I0403 07:01:40.125000 139984567650112 model_lib_v2.py:682] Step 33100 per-step time 1.010s loss=0.224\n",
      "INFO:tensorflow:Step 33200 per-step time 1.082s loss=0.209\n",
      "I0403 07:03:27.429731 139984567650112 model_lib_v2.py:682] Step 33200 per-step time 1.082s loss=0.209\n",
      "INFO:tensorflow:Step 33300 per-step time 1.187s loss=0.206\n",
      "I0403 07:05:15.573203 139984567650112 model_lib_v2.py:682] Step 33300 per-step time 1.187s loss=0.206\n",
      "INFO:tensorflow:Step 33400 per-step time 1.012s loss=0.197\n",
      "I0403 07:07:01.842840 139984567650112 model_lib_v2.py:682] Step 33400 per-step time 1.012s loss=0.197\n",
      "INFO:tensorflow:Step 33500 per-step time 1.113s loss=0.188\n",
      "I0403 07:08:49.486085 139984567650112 model_lib_v2.py:682] Step 33500 per-step time 1.113s loss=0.188\n",
      "INFO:tensorflow:Step 33600 per-step time 1.072s loss=0.217\n",
      "I0403 07:10:38.154266 139984567650112 model_lib_v2.py:682] Step 33600 per-step time 1.072s loss=0.217\n",
      "INFO:tensorflow:Step 33700 per-step time 1.028s loss=0.191\n",
      "I0403 07:12:25.697070 139984567650112 model_lib_v2.py:682] Step 33700 per-step time 1.028s loss=0.191\n",
      "INFO:tensorflow:Step 33800 per-step time 1.182s loss=0.209\n",
      "I0403 07:14:13.717435 139984567650112 model_lib_v2.py:682] Step 33800 per-step time 1.182s loss=0.209\n",
      "INFO:tensorflow:Step 33900 per-step time 1.115s loss=0.208\n",
      "I0403 07:16:02.389626 139984567650112 model_lib_v2.py:682] Step 33900 per-step time 1.115s loss=0.208\n",
      "INFO:tensorflow:Step 34000 per-step time 1.080s loss=0.218\n",
      "I0403 07:17:50.598210 139984567650112 model_lib_v2.py:682] Step 34000 per-step time 1.080s loss=0.218\n",
      "INFO:tensorflow:Step 34100 per-step time 1.269s loss=0.217\n",
      "I0403 07:19:40.890836 139984567650112 model_lib_v2.py:682] Step 34100 per-step time 1.269s loss=0.217\n",
      "INFO:tensorflow:Step 34200 per-step time 0.998s loss=0.229\n",
      "I0403 07:21:28.527570 139984567650112 model_lib_v2.py:682] Step 34200 per-step time 0.998s loss=0.229\n",
      "INFO:tensorflow:Step 34300 per-step time 1.022s loss=0.239\n",
      "I0403 07:23:16.392129 139984567650112 model_lib_v2.py:682] Step 34300 per-step time 1.022s loss=0.239\n",
      "INFO:tensorflow:Step 34400 per-step time 1.026s loss=0.286\n",
      "I0403 07:25:03.761045 139984567650112 model_lib_v2.py:682] Step 34400 per-step time 1.026s loss=0.286\n",
      "INFO:tensorflow:Step 34500 per-step time 1.074s loss=0.243\n",
      "I0403 07:26:50.839666 139984567650112 model_lib_v2.py:682] Step 34500 per-step time 1.074s loss=0.243\n",
      "INFO:tensorflow:Step 34600 per-step time 1.085s loss=0.183\n",
      "I0403 07:28:38.546862 139984567650112 model_lib_v2.py:682] Step 34600 per-step time 1.085s loss=0.183\n",
      "INFO:tensorflow:Step 34700 per-step time 1.181s loss=0.267\n",
      "I0403 07:30:26.766279 139984567650112 model_lib_v2.py:682] Step 34700 per-step time 1.181s loss=0.267\n",
      "INFO:tensorflow:Step 34800 per-step time 1.155s loss=0.222\n",
      "I0403 07:32:13.607231 139984567650112 model_lib_v2.py:682] Step 34800 per-step time 1.155s loss=0.222\n",
      "INFO:tensorflow:Step 34900 per-step time 1.132s loss=0.274\n",
      "I0403 07:34:01.383018 139984567650112 model_lib_v2.py:682] Step 34900 per-step time 1.132s loss=0.274\n",
      "INFO:tensorflow:Step 35000 per-step time 1.140s loss=0.242\n",
      "I0403 07:35:49.160050 139984567650112 model_lib_v2.py:682] Step 35000 per-step time 1.140s loss=0.242\n",
      "INFO:tensorflow:Step 35100 per-step time 1.107s loss=0.202\n",
      "I0403 07:37:40.725354 139984567650112 model_lib_v2.py:682] Step 35100 per-step time 1.107s loss=0.202\n",
      "INFO:tensorflow:Step 35200 per-step time 0.988s loss=0.234\n",
      "I0403 07:39:28.123399 139984567650112 model_lib_v2.py:682] Step 35200 per-step time 0.988s loss=0.234\n",
      "INFO:tensorflow:Step 35300 per-step time 1.142s loss=0.258\n",
      "I0403 07:41:14.546406 139984567650112 model_lib_v2.py:682] Step 35300 per-step time 1.142s loss=0.258\n",
      "INFO:tensorflow:Step 35400 per-step time 1.014s loss=0.251\n",
      "I0403 07:43:02.134287 139984567650112 model_lib_v2.py:682] Step 35400 per-step time 1.014s loss=0.251\n",
      "INFO:tensorflow:Step 35500 per-step time 1.045s loss=0.197\n",
      "I0403 07:44:49.566012 139984567650112 model_lib_v2.py:682] Step 35500 per-step time 1.045s loss=0.197\n",
      "INFO:tensorflow:Step 35600 per-step time 1.041s loss=0.260\n",
      "I0403 07:46:36.900951 139984567650112 model_lib_v2.py:682] Step 35600 per-step time 1.041s loss=0.260\n",
      "INFO:tensorflow:Step 35700 per-step time 1.060s loss=0.218\n",
      "I0403 07:48:23.608432 139984567650112 model_lib_v2.py:682] Step 35700 per-step time 1.060s loss=0.218\n",
      "INFO:tensorflow:Step 35800 per-step time 1.159s loss=0.243\n",
      "I0403 07:50:11.192220 139984567650112 model_lib_v2.py:682] Step 35800 per-step time 1.159s loss=0.243\n",
      "INFO:tensorflow:Step 35900 per-step time 1.020s loss=0.222\n",
      "I0403 07:51:58.504475 139984567650112 model_lib_v2.py:682] Step 35900 per-step time 1.020s loss=0.222\n",
      "INFO:tensorflow:Step 36000 per-step time 1.106s loss=0.219\n",
      "I0403 07:53:46.590712 139984567650112 model_lib_v2.py:682] Step 36000 per-step time 1.106s loss=0.219\n",
      "INFO:tensorflow:Step 36100 per-step time 1.081s loss=0.207\n",
      "I0403 07:55:38.563457 139984567650112 model_lib_v2.py:682] Step 36100 per-step time 1.081s loss=0.207\n",
      "INFO:tensorflow:Step 36200 per-step time 1.064s loss=0.217\n",
      "I0403 07:57:26.867840 139984567650112 model_lib_v2.py:682] Step 36200 per-step time 1.064s loss=0.217\n",
      "INFO:tensorflow:Step 36300 per-step time 1.059s loss=0.255\n",
      "I0403 07:59:15.669255 139984567650112 model_lib_v2.py:682] Step 36300 per-step time 1.059s loss=0.255\n",
      "INFO:tensorflow:Step 36400 per-step time 1.024s loss=0.194\n",
      "I0403 08:01:03.635976 139984567650112 model_lib_v2.py:682] Step 36400 per-step time 1.024s loss=0.194\n",
      "INFO:tensorflow:Step 36500 per-step time 1.090s loss=0.210\n",
      "I0403 08:02:50.915941 139984567650112 model_lib_v2.py:682] Step 36500 per-step time 1.090s loss=0.210\n",
      "INFO:tensorflow:Step 36600 per-step time 1.068s loss=0.243\n",
      "I0403 08:04:39.417896 139984567650112 model_lib_v2.py:682] Step 36600 per-step time 1.068s loss=0.243\n",
      "INFO:tensorflow:Step 36700 per-step time 1.039s loss=0.231\n",
      "I0403 08:06:26.107732 139984567650112 model_lib_v2.py:682] Step 36700 per-step time 1.039s loss=0.231\n",
      "INFO:tensorflow:Step 36800 per-step time 1.044s loss=0.207\n",
      "I0403 08:08:14.253361 139984567650112 model_lib_v2.py:682] Step 36800 per-step time 1.044s loss=0.207\n",
      "INFO:tensorflow:Step 36900 per-step time 0.981s loss=0.212\n",
      "I0403 08:10:02.997058 139984567650112 model_lib_v2.py:682] Step 36900 per-step time 0.981s loss=0.212\n",
      "INFO:tensorflow:Step 37000 per-step time 1.001s loss=0.205\n",
      "I0403 08:11:50.019312 139984567650112 model_lib_v2.py:682] Step 37000 per-step time 1.001s loss=0.205\n",
      "INFO:tensorflow:Step 37100 per-step time 1.001s loss=0.237\n",
      "I0403 08:13:39.379911 139984567650112 model_lib_v2.py:682] Step 37100 per-step time 1.001s loss=0.237\n",
      "INFO:tensorflow:Step 37200 per-step time 1.004s loss=0.225\n",
      "I0403 08:15:26.670490 139984567650112 model_lib_v2.py:682] Step 37200 per-step time 1.004s loss=0.225\n",
      "INFO:tensorflow:Step 37300 per-step time 1.146s loss=0.206\n",
      "I0403 08:17:14.176547 139984567650112 model_lib_v2.py:682] Step 37300 per-step time 1.146s loss=0.206\n",
      "INFO:tensorflow:Step 37400 per-step time 1.152s loss=0.246\n",
      "I0403 08:19:02.161300 139984567650112 model_lib_v2.py:682] Step 37400 per-step time 1.152s loss=0.246\n",
      "INFO:tensorflow:Step 37500 per-step time 1.034s loss=0.209\n",
      "I0403 08:20:49.290664 139984567650112 model_lib_v2.py:682] Step 37500 per-step time 1.034s loss=0.209\n",
      "INFO:tensorflow:Step 37600 per-step time 1.109s loss=0.220\n",
      "I0403 08:22:36.764610 139984567650112 model_lib_v2.py:682] Step 37600 per-step time 1.109s loss=0.220\n",
      "INFO:tensorflow:Step 37700 per-step time 1.068s loss=0.231\n",
      "I0403 08:24:23.282996 139984567650112 model_lib_v2.py:682] Step 37700 per-step time 1.068s loss=0.231\n",
      "INFO:tensorflow:Step 37800 per-step time 1.067s loss=0.229\n",
      "I0403 08:26:09.965340 139984567650112 model_lib_v2.py:682] Step 37800 per-step time 1.067s loss=0.229\n",
      "INFO:tensorflow:Step 37900 per-step time 1.153s loss=0.213\n",
      "I0403 08:27:56.959942 139984567650112 model_lib_v2.py:682] Step 37900 per-step time 1.153s loss=0.213\n",
      "INFO:tensorflow:Step 38000 per-step time 1.047s loss=0.231\n",
      "I0403 08:29:43.610770 139984567650112 model_lib_v2.py:682] Step 38000 per-step time 1.047s loss=0.231\n",
      "INFO:tensorflow:Step 38100 per-step time 1.082s loss=0.249\n",
      "I0403 08:31:33.394069 139984567650112 model_lib_v2.py:682] Step 38100 per-step time 1.082s loss=0.249\n",
      "INFO:tensorflow:Step 38200 per-step time 1.069s loss=0.212\n",
      "I0403 08:33:22.242700 139984567650112 model_lib_v2.py:682] Step 38200 per-step time 1.069s loss=0.212\n",
      "INFO:tensorflow:Step 38300 per-step time 1.065s loss=0.240\n",
      "I0403 08:35:11.296800 139984567650112 model_lib_v2.py:682] Step 38300 per-step time 1.065s loss=0.240\n",
      "INFO:tensorflow:Step 38400 per-step time 1.162s loss=0.216\n",
      "I0403 08:36:59.160308 139984567650112 model_lib_v2.py:682] Step 38400 per-step time 1.162s loss=0.216\n",
      "INFO:tensorflow:Step 38500 per-step time 1.023s loss=0.203\n",
      "I0403 08:38:46.997710 139984567650112 model_lib_v2.py:682] Step 38500 per-step time 1.023s loss=0.203\n",
      "INFO:tensorflow:Step 38600 per-step time 1.137s loss=0.211\n",
      "I0403 08:40:35.580154 139984567650112 model_lib_v2.py:682] Step 38600 per-step time 1.137s loss=0.211\n",
      "INFO:tensorflow:Step 38700 per-step time 1.009s loss=0.211\n",
      "I0403 08:42:22.951456 139984567650112 model_lib_v2.py:682] Step 38700 per-step time 1.009s loss=0.211\n",
      "INFO:tensorflow:Step 38800 per-step time 1.093s loss=0.218\n",
      "I0403 08:44:11.380105 139984567650112 model_lib_v2.py:682] Step 38800 per-step time 1.093s loss=0.218\n",
      "INFO:tensorflow:Step 38900 per-step time 1.113s loss=0.226\n",
      "I0403 08:46:00.879596 139984567650112 model_lib_v2.py:682] Step 38900 per-step time 1.113s loss=0.226\n",
      "INFO:tensorflow:Step 39000 per-step time 1.124s loss=0.240\n",
      "I0403 08:47:49.122867 139984567650112 model_lib_v2.py:682] Step 39000 per-step time 1.124s loss=0.240\n",
      "INFO:tensorflow:Step 39100 per-step time 1.136s loss=0.201\n",
      "I0403 08:49:40.096255 139984567650112 model_lib_v2.py:682] Step 39100 per-step time 1.136s loss=0.201\n",
      "INFO:tensorflow:Step 39200 per-step time 1.025s loss=0.211\n",
      "I0403 08:51:27.087812 139984567650112 model_lib_v2.py:682] Step 39200 per-step time 1.025s loss=0.211\n",
      "INFO:tensorflow:Step 39300 per-step time 1.003s loss=0.204\n",
      "I0403 08:53:15.300773 139984567650112 model_lib_v2.py:682] Step 39300 per-step time 1.003s loss=0.204\n",
      "INFO:tensorflow:Step 39400 per-step time 1.076s loss=0.195\n",
      "I0403 08:55:02.932864 139984567650112 model_lib_v2.py:682] Step 39400 per-step time 1.076s loss=0.195\n",
      "INFO:tensorflow:Step 39500 per-step time 1.095s loss=0.225\n",
      "I0403 08:56:51.177612 139984567650112 model_lib_v2.py:682] Step 39500 per-step time 1.095s loss=0.225\n",
      "INFO:tensorflow:Step 39600 per-step time 0.970s loss=0.243\n",
      "I0403 08:58:39.128506 139984567650112 model_lib_v2.py:682] Step 39600 per-step time 0.970s loss=0.243\n",
      "INFO:tensorflow:Step 39700 per-step time 0.976s loss=0.205\n",
      "I0403 09:00:28.001448 139984567650112 model_lib_v2.py:682] Step 39700 per-step time 0.976s loss=0.205\n",
      "INFO:tensorflow:Step 39800 per-step time 1.096s loss=0.211\n",
      "I0403 09:02:15.609334 139984567650112 model_lib_v2.py:682] Step 39800 per-step time 1.096s loss=0.211\n",
      "INFO:tensorflow:Step 39900 per-step time 1.210s loss=0.227\n",
      "I0403 09:04:03.106622 139984567650112 model_lib_v2.py:682] Step 39900 per-step time 1.210s loss=0.227\n",
      "INFO:tensorflow:Step 40000 per-step time 1.092s loss=0.280\n",
      "I0403 09:05:50.964740 139984567650112 model_lib_v2.py:682] Step 40000 per-step time 1.092s loss=0.280\n",
      "INFO:tensorflow:Step 40100 per-step time 1.053s loss=0.198\n",
      "I0403 09:07:41.485204 139984567650112 model_lib_v2.py:682] Step 40100 per-step time 1.053s loss=0.198\n",
      "INFO:tensorflow:Step 40200 per-step time 1.074s loss=0.230\n",
      "I0403 09:09:29.070926 139984567650112 model_lib_v2.py:682] Step 40200 per-step time 1.074s loss=0.230\n",
      "INFO:tensorflow:Step 40300 per-step time 1.043s loss=0.223\n",
      "I0403 09:11:16.602767 139984567650112 model_lib_v2.py:682] Step 40300 per-step time 1.043s loss=0.223\n",
      "INFO:tensorflow:Step 40400 per-step time 1.109s loss=0.211\n",
      "I0403 09:13:05.822013 139984567650112 model_lib_v2.py:682] Step 40400 per-step time 1.109s loss=0.211\n",
      "INFO:tensorflow:Step 40500 per-step time 1.088s loss=0.195\n",
      "I0403 09:14:54.223807 139984567650112 model_lib_v2.py:682] Step 40500 per-step time 1.088s loss=0.195\n",
      "INFO:tensorflow:Step 40600 per-step time 1.037s loss=0.219\n",
      "I0403 09:16:42.550653 139984567650112 model_lib_v2.py:682] Step 40600 per-step time 1.037s loss=0.219\n",
      "INFO:tensorflow:Step 40700 per-step time 1.106s loss=0.239\n",
      "I0403 09:18:29.427901 139984567650112 model_lib_v2.py:682] Step 40700 per-step time 1.106s loss=0.239\n",
      "INFO:tensorflow:Step 40800 per-step time 1.043s loss=0.209\n",
      "I0403 09:20:16.782950 139984567650112 model_lib_v2.py:682] Step 40800 per-step time 1.043s loss=0.209\n",
      "INFO:tensorflow:Step 40900 per-step time 1.118s loss=0.221\n",
      "I0403 09:22:04.727315 139984567650112 model_lib_v2.py:682] Step 40900 per-step time 1.118s loss=0.221\n",
      "INFO:tensorflow:Step 41000 per-step time 1.071s loss=0.220\n",
      "I0403 09:23:52.420244 139984567650112 model_lib_v2.py:682] Step 41000 per-step time 1.071s loss=0.220\n",
      "INFO:tensorflow:Step 41100 per-step time 1.213s loss=0.217\n",
      "I0403 09:25:42.516082 139984567650112 model_lib_v2.py:682] Step 41100 per-step time 1.213s loss=0.217\n",
      "INFO:tensorflow:Step 41200 per-step time 1.084s loss=0.217\n",
      "I0403 09:27:30.051433 139984567650112 model_lib_v2.py:682] Step 41200 per-step time 1.084s loss=0.217\n",
      "INFO:tensorflow:Step 41300 per-step time 1.103s loss=0.192\n",
      "I0403 09:29:17.637891 139984567650112 model_lib_v2.py:682] Step 41300 per-step time 1.103s loss=0.192\n",
      "INFO:tensorflow:Step 41400 per-step time 1.010s loss=0.237\n",
      "I0403 09:31:04.859416 139984567650112 model_lib_v2.py:682] Step 41400 per-step time 1.010s loss=0.237\n",
      "INFO:tensorflow:Step 41500 per-step time 0.997s loss=0.193\n",
      "I0403 09:32:52.965822 139984567650112 model_lib_v2.py:682] Step 41500 per-step time 0.997s loss=0.193\n",
      "INFO:tensorflow:Step 41600 per-step time 1.236s loss=0.196\n",
      "I0403 09:34:40.417037 139984567650112 model_lib_v2.py:682] Step 41600 per-step time 1.236s loss=0.196\n",
      "INFO:tensorflow:Step 41700 per-step time 1.116s loss=0.214\n",
      "I0403 09:36:29.805115 139984567650112 model_lib_v2.py:682] Step 41700 per-step time 1.116s loss=0.214\n",
      "INFO:tensorflow:Step 41800 per-step time 1.066s loss=0.191\n",
      "I0403 09:38:17.520845 139984567650112 model_lib_v2.py:682] Step 41800 per-step time 1.066s loss=0.191\n",
      "INFO:tensorflow:Step 41900 per-step time 1.113s loss=0.200\n",
      "I0403 09:40:05.481875 139984567650112 model_lib_v2.py:682] Step 41900 per-step time 1.113s loss=0.200\n",
      "INFO:tensorflow:Step 42000 per-step time 1.082s loss=0.241\n",
      "I0403 09:41:53.104303 139984567650112 model_lib_v2.py:682] Step 42000 per-step time 1.082s loss=0.241\n",
      "INFO:tensorflow:Step 42100 per-step time 1.040s loss=0.170\n",
      "I0403 09:43:43.728413 139984567650112 model_lib_v2.py:682] Step 42100 per-step time 1.040s loss=0.170\n",
      "INFO:tensorflow:Step 42200 per-step time 1.071s loss=0.247\n",
      "I0403 09:45:30.431539 139984567650112 model_lib_v2.py:682] Step 42200 per-step time 1.071s loss=0.247\n",
      "INFO:tensorflow:Step 42300 per-step time 1.070s loss=0.203\n",
      "I0403 09:47:18.075172 139984567650112 model_lib_v2.py:682] Step 42300 per-step time 1.070s loss=0.203\n",
      "INFO:tensorflow:Step 42400 per-step time 1.010s loss=0.220\n",
      "I0403 09:49:04.875038 139984567650112 model_lib_v2.py:682] Step 42400 per-step time 1.010s loss=0.220\n",
      "INFO:tensorflow:Step 42500 per-step time 0.999s loss=0.226\n",
      "I0403 09:50:51.443216 139984567650112 model_lib_v2.py:682] Step 42500 per-step time 0.999s loss=0.226\n",
      "INFO:tensorflow:Step 42600 per-step time 1.156s loss=0.197\n",
      "I0403 09:52:40.382901 139984567650112 model_lib_v2.py:682] Step 42600 per-step time 1.156s loss=0.197\n",
      "INFO:tensorflow:Step 42700 per-step time 1.077s loss=0.243\n",
      "I0403 09:54:28.148840 139984567650112 model_lib_v2.py:682] Step 42700 per-step time 1.077s loss=0.243\n",
      "INFO:tensorflow:Step 42800 per-step time 0.957s loss=0.218\n",
      "I0403 09:56:15.725940 139984567650112 model_lib_v2.py:682] Step 42800 per-step time 0.957s loss=0.218\n",
      "INFO:tensorflow:Step 42900 per-step time 1.077s loss=0.232\n",
      "I0403 09:58:03.970074 139984567650112 model_lib_v2.py:682] Step 42900 per-step time 1.077s loss=0.232\n",
      "INFO:tensorflow:Step 43000 per-step time 1.163s loss=0.201\n",
      "I0403 09:59:52.596063 139984567650112 model_lib_v2.py:682] Step 43000 per-step time 1.163s loss=0.201\n",
      "INFO:tensorflow:Step 43100 per-step time 1.090s loss=0.189\n",
      "I0403 10:01:42.973974 139984567650112 model_lib_v2.py:682] Step 43100 per-step time 1.090s loss=0.189\n",
      "INFO:tensorflow:Step 43200 per-step time 1.134s loss=0.217\n",
      "I0403 10:03:30.725844 139984567650112 model_lib_v2.py:682] Step 43200 per-step time 1.134s loss=0.217\n",
      "INFO:tensorflow:Step 43300 per-step time 1.008s loss=0.213\n",
      "I0403 10:05:18.142395 139984567650112 model_lib_v2.py:682] Step 43300 per-step time 1.008s loss=0.213\n",
      "INFO:tensorflow:Step 43400 per-step time 1.043s loss=0.222\n",
      "I0403 10:07:06.170442 139984567650112 model_lib_v2.py:682] Step 43400 per-step time 1.043s loss=0.222\n",
      "INFO:tensorflow:Step 43500 per-step time 1.119s loss=0.198\n",
      "I0403 10:08:53.296669 139984567650112 model_lib_v2.py:682] Step 43500 per-step time 1.119s loss=0.198\n",
      "INFO:tensorflow:Step 43600 per-step time 1.067s loss=0.195\n",
      "I0403 10:10:40.736546 139984567650112 model_lib_v2.py:682] Step 43600 per-step time 1.067s loss=0.195\n",
      "INFO:tensorflow:Step 43700 per-step time 1.028s loss=0.180\n",
      "I0403 10:12:28.165457 139984567650112 model_lib_v2.py:682] Step 43700 per-step time 1.028s loss=0.180\n",
      "INFO:tensorflow:Step 43800 per-step time 1.042s loss=0.192\n",
      "I0403 10:14:16.161461 139984567650112 model_lib_v2.py:682] Step 43800 per-step time 1.042s loss=0.192\n",
      "INFO:tensorflow:Step 43900 per-step time 1.158s loss=0.172\n",
      "I0403 10:16:04.747537 139984567650112 model_lib_v2.py:682] Step 43900 per-step time 1.158s loss=0.172\n",
      "INFO:tensorflow:Step 44000 per-step time 1.204s loss=0.192\n",
      "I0403 10:17:52.058694 139984567650112 model_lib_v2.py:682] Step 44000 per-step time 1.204s loss=0.192\n",
      "INFO:tensorflow:Step 44100 per-step time 1.109s loss=0.271\n",
      "I0403 10:19:43.157832 139984567650112 model_lib_v2.py:682] Step 44100 per-step time 1.109s loss=0.271\n",
      "INFO:tensorflow:Step 44200 per-step time 0.971s loss=0.197\n",
      "I0403 10:21:30.805880 139984567650112 model_lib_v2.py:682] Step 44200 per-step time 0.971s loss=0.197\n",
      "INFO:tensorflow:Step 44300 per-step time 0.976s loss=0.169\n",
      "I0403 10:23:17.421346 139984567650112 model_lib_v2.py:682] Step 44300 per-step time 0.976s loss=0.169\n",
      "INFO:tensorflow:Step 44400 per-step time 1.079s loss=0.189\n",
      "I0403 10:25:04.757714 139984567650112 model_lib_v2.py:682] Step 44400 per-step time 1.079s loss=0.189\n",
      "INFO:tensorflow:Step 44500 per-step time 1.138s loss=0.250\n",
      "I0403 10:26:53.627457 139984567650112 model_lib_v2.py:682] Step 44500 per-step time 1.138s loss=0.250\n",
      "INFO:tensorflow:Step 44600 per-step time 1.016s loss=0.221\n",
      "I0403 10:28:40.604897 139984567650112 model_lib_v2.py:682] Step 44600 per-step time 1.016s loss=0.221\n",
      "INFO:tensorflow:Step 44700 per-step time 1.098s loss=0.190\n",
      "I0403 10:30:28.341842 139984567650112 model_lib_v2.py:682] Step 44700 per-step time 1.098s loss=0.190\n",
      "INFO:tensorflow:Step 44800 per-step time 0.978s loss=0.338\n",
      "I0403 10:32:16.732439 139984567650112 model_lib_v2.py:682] Step 44800 per-step time 0.978s loss=0.338\n",
      "INFO:tensorflow:Step 44900 per-step time 1.031s loss=0.249\n",
      "I0403 10:34:04.796803 139984567650112 model_lib_v2.py:682] Step 44900 per-step time 1.031s loss=0.249\n",
      "INFO:tensorflow:Step 45000 per-step time 1.053s loss=0.196\n",
      "I0403 10:35:53.389511 139984567650112 model_lib_v2.py:682] Step 45000 per-step time 1.053s loss=0.196\n",
      "INFO:tensorflow:Step 45100 per-step time 1.095s loss=0.274\n",
      "I0403 10:37:44.084748 139984567650112 model_lib_v2.py:682] Step 45100 per-step time 1.095s loss=0.274\n",
      "INFO:tensorflow:Step 45200 per-step time 0.978s loss=0.192\n",
      "I0403 10:39:33.552196 139984567650112 model_lib_v2.py:682] Step 45200 per-step time 0.978s loss=0.192\n",
      "INFO:tensorflow:Step 45300 per-step time 1.100s loss=0.202\n",
      "I0403 10:41:20.528350 139984567650112 model_lib_v2.py:682] Step 45300 per-step time 1.100s loss=0.202\n",
      "INFO:tensorflow:Step 45400 per-step time 1.181s loss=0.201\n",
      "I0403 10:43:08.536377 139984567650112 model_lib_v2.py:682] Step 45400 per-step time 1.181s loss=0.201\n",
      "INFO:tensorflow:Step 45500 per-step time 1.061s loss=0.217\n",
      "I0403 10:44:56.293645 139984567650112 model_lib_v2.py:682] Step 45500 per-step time 1.061s loss=0.217\n",
      "INFO:tensorflow:Step 45600 per-step time 1.097s loss=0.218\n",
      "I0403 10:46:44.353597 139984567650112 model_lib_v2.py:682] Step 45600 per-step time 1.097s loss=0.218\n",
      "INFO:tensorflow:Step 45700 per-step time 1.007s loss=0.236\n",
      "I0403 10:48:32.234615 139984567650112 model_lib_v2.py:682] Step 45700 per-step time 1.007s loss=0.236\n",
      "INFO:tensorflow:Step 45800 per-step time 1.084s loss=0.205\n",
      "I0403 10:50:19.718898 139984567650112 model_lib_v2.py:682] Step 45800 per-step time 1.084s loss=0.205\n",
      "INFO:tensorflow:Step 45900 per-step time 1.166s loss=0.228\n",
      "I0403 10:52:07.078360 139984567650112 model_lib_v2.py:682] Step 45900 per-step time 1.166s loss=0.228\n",
      "INFO:tensorflow:Step 46000 per-step time 1.068s loss=0.197\n",
      "I0403 10:53:53.992724 139984567650112 model_lib_v2.py:682] Step 46000 per-step time 1.068s loss=0.197\n",
      "INFO:tensorflow:Step 46100 per-step time 1.144s loss=0.186\n",
      "I0403 10:55:44.989827 139984567650112 model_lib_v2.py:682] Step 46100 per-step time 1.144s loss=0.186\n",
      "INFO:tensorflow:Step 46200 per-step time 1.120s loss=0.170\n",
      "I0403 10:57:31.834589 139984567650112 model_lib_v2.py:682] Step 46200 per-step time 1.120s loss=0.170\n",
      "INFO:tensorflow:Step 46300 per-step time 1.149s loss=0.194\n",
      "I0403 10:59:20.278367 139984567650112 model_lib_v2.py:682] Step 46300 per-step time 1.149s loss=0.194\n",
      "INFO:tensorflow:Step 46400 per-step time 0.991s loss=0.186\n",
      "I0403 11:01:07.206798 139984567650112 model_lib_v2.py:682] Step 46400 per-step time 0.991s loss=0.186\n",
      "INFO:tensorflow:Step 46500 per-step time 1.041s loss=0.192\n",
      "I0403 11:02:55.989636 139984567650112 model_lib_v2.py:682] Step 46500 per-step time 1.041s loss=0.192\n",
      "INFO:tensorflow:Step 46600 per-step time 0.990s loss=0.212\n",
      "I0403 11:04:44.106832 139984567650112 model_lib_v2.py:682] Step 46600 per-step time 0.990s loss=0.212\n",
      "INFO:tensorflow:Step 46700 per-step time 1.014s loss=0.191\n",
      "I0403 11:06:31.361904 139984567650112 model_lib_v2.py:682] Step 46700 per-step time 1.014s loss=0.191\n",
      "INFO:tensorflow:Step 46800 per-step time 0.983s loss=0.221\n",
      "I0403 11:08:19.068489 139984567650112 model_lib_v2.py:682] Step 46800 per-step time 0.983s loss=0.221\n",
      "INFO:tensorflow:Step 46900 per-step time 1.064s loss=0.188\n",
      "I0403 11:10:06.297557 139984567650112 model_lib_v2.py:682] Step 46900 per-step time 1.064s loss=0.188\n",
      "INFO:tensorflow:Step 47000 per-step time 1.169s loss=0.262\n",
      "I0403 11:11:55.126572 139984567650112 model_lib_v2.py:682] Step 47000 per-step time 1.169s loss=0.262\n",
      "INFO:tensorflow:Step 47100 per-step time 1.021s loss=0.209\n",
      "I0403 11:13:45.046752 139984567650112 model_lib_v2.py:682] Step 47100 per-step time 1.021s loss=0.209\n",
      "INFO:tensorflow:Step 47200 per-step time 1.067s loss=0.236\n",
      "I0403 11:15:32.707769 139984567650112 model_lib_v2.py:682] Step 47200 per-step time 1.067s loss=0.236\n",
      "INFO:tensorflow:Step 47300 per-step time 1.070s loss=0.227\n",
      "I0403 11:17:21.806280 139984567650112 model_lib_v2.py:682] Step 47300 per-step time 1.070s loss=0.227\n",
      "INFO:tensorflow:Step 47400 per-step time 1.137s loss=0.209\n",
      "I0403 11:19:08.155738 139984567650112 model_lib_v2.py:682] Step 47400 per-step time 1.137s loss=0.209\n",
      "INFO:tensorflow:Step 47500 per-step time 1.057s loss=0.173\n",
      "I0403 11:20:56.326348 139984567650112 model_lib_v2.py:682] Step 47500 per-step time 1.057s loss=0.173\n",
      "INFO:tensorflow:Step 47600 per-step time 1.098s loss=0.212\n",
      "I0403 11:22:44.306110 139984567650112 model_lib_v2.py:682] Step 47600 per-step time 1.098s loss=0.212\n",
      "INFO:tensorflow:Step 47700 per-step time 1.042s loss=0.201\n",
      "I0403 11:24:32.090723 139984567650112 model_lib_v2.py:682] Step 47700 per-step time 1.042s loss=0.201\n",
      "INFO:tensorflow:Step 47800 per-step time 1.076s loss=0.227\n",
      "I0403 11:26:21.207538 139984567650112 model_lib_v2.py:682] Step 47800 per-step time 1.076s loss=0.227\n",
      "INFO:tensorflow:Step 47900 per-step time 1.139s loss=0.246\n",
      "I0403 11:28:09.912590 139984567650112 model_lib_v2.py:682] Step 47900 per-step time 1.139s loss=0.246\n",
      "INFO:tensorflow:Step 48000 per-step time 1.079s loss=0.221\n",
      "I0403 11:29:57.507411 139984567650112 model_lib_v2.py:682] Step 48000 per-step time 1.079s loss=0.221\n",
      "INFO:tensorflow:Step 48100 per-step time 1.045s loss=0.196\n",
      "I0403 11:31:47.598885 139984567650112 model_lib_v2.py:682] Step 48100 per-step time 1.045s loss=0.196\n",
      "INFO:tensorflow:Step 48200 per-step time 1.100s loss=0.236\n",
      "I0403 11:33:35.160431 139984567650112 model_lib_v2.py:682] Step 48200 per-step time 1.100s loss=0.236\n",
      "INFO:tensorflow:Step 48300 per-step time 1.083s loss=0.235\n",
      "I0403 11:35:22.840728 139984567650112 model_lib_v2.py:682] Step 48300 per-step time 1.083s loss=0.235\n",
      "INFO:tensorflow:Step 48400 per-step time 1.195s loss=0.205\n",
      "I0403 11:37:10.887022 139984567650112 model_lib_v2.py:682] Step 48400 per-step time 1.195s loss=0.205\n",
      "INFO:tensorflow:Step 48500 per-step time 1.105s loss=0.179\n",
      "I0403 11:38:58.274836 139984567650112 model_lib_v2.py:682] Step 48500 per-step time 1.105s loss=0.179\n",
      "INFO:tensorflow:Step 48600 per-step time 1.093s loss=0.229\n",
      "I0403 11:40:45.301668 139984567650112 model_lib_v2.py:682] Step 48600 per-step time 1.093s loss=0.229\n",
      "INFO:tensorflow:Step 48700 per-step time 1.181s loss=0.201\n",
      "I0403 11:42:34.737198 139984567650112 model_lib_v2.py:682] Step 48700 per-step time 1.181s loss=0.201\n",
      "INFO:tensorflow:Step 48800 per-step time 1.047s loss=0.188\n",
      "I0403 11:44:21.185277 139984567650112 model_lib_v2.py:682] Step 48800 per-step time 1.047s loss=0.188\n",
      "INFO:tensorflow:Step 48900 per-step time 1.021s loss=0.263\n",
      "I0403 11:46:09.045230 139984567650112 model_lib_v2.py:682] Step 48900 per-step time 1.021s loss=0.263\n",
      "INFO:tensorflow:Step 49000 per-step time 1.068s loss=0.245\n",
      "I0403 11:47:56.715331 139984567650112 model_lib_v2.py:682] Step 49000 per-step time 1.068s loss=0.245\n",
      "INFO:tensorflow:Step 49100 per-step time 1.134s loss=0.214\n",
      "I0403 11:49:47.539077 139984567650112 model_lib_v2.py:682] Step 49100 per-step time 1.134s loss=0.214\n",
      "INFO:tensorflow:Step 49200 per-step time 1.027s loss=0.172\n",
      "I0403 11:51:35.010035 139984567650112 model_lib_v2.py:682] Step 49200 per-step time 1.027s loss=0.172\n",
      "INFO:tensorflow:Step 49300 per-step time 1.018s loss=0.208\n",
      "I0403 11:53:24.069823 139984567650112 model_lib_v2.py:682] Step 49300 per-step time 1.018s loss=0.208\n",
      "INFO:tensorflow:Step 49400 per-step time 1.042s loss=0.217\n",
      "I0403 11:55:11.664118 139984567650112 model_lib_v2.py:682] Step 49400 per-step time 1.042s loss=0.217\n",
      "INFO:tensorflow:Step 49500 per-step time 1.087s loss=0.211\n",
      "I0403 11:56:59.017038 139984567650112 model_lib_v2.py:682] Step 49500 per-step time 1.087s loss=0.211\n",
      "INFO:tensorflow:Step 49600 per-step time 1.060s loss=0.225\n",
      "I0403 11:58:47.308278 139984567650112 model_lib_v2.py:682] Step 49600 per-step time 1.060s loss=0.225\n",
      "INFO:tensorflow:Step 49700 per-step time 1.074s loss=0.257\n",
      "I0403 12:00:35.329988 139984567650112 model_lib_v2.py:682] Step 49700 per-step time 1.074s loss=0.257\n",
      "INFO:tensorflow:Step 49800 per-step time 1.060s loss=0.214\n",
      "I0403 12:02:23.663240 139984567650112 model_lib_v2.py:682] Step 49800 per-step time 1.060s loss=0.214\n",
      "INFO:tensorflow:Step 49900 per-step time 0.993s loss=0.197\n",
      "I0403 12:04:10.908224 139984567650112 model_lib_v2.py:682] Step 49900 per-step time 0.993s loss=0.197\n",
      "INFO:tensorflow:Step 50000 per-step time 0.982s loss=0.263\n",
      "I0403 12:05:59.039387 139984567650112 model_lib_v2.py:682] Step 50000 per-step time 0.982s loss=0.263\n"
     ]
    }
   ],
   "source": [
    "PIPELINE_CONFIG_PATH='./pipeline_file.config'\n",
    "MODEL_DIR='./outputmodel_waymo_v120_efficientdet_d4'\n",
    "!python models/research/object_detection/model_main_tf2.py \\\n",
    "    --pipeline_config_path={PIPELINE_CONFIG_PATH} \\\n",
    "    --model_dir={MODEL_DIR} \\\n",
    "    --num_workers=7 \\\n",
    "    --alsologtostderr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd429f0f",
   "metadata": {},
   "source": [
    "# Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "90e49461",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-04-03 12:29:39.053737: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/scipy/__init__.py:140: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.16.0)\n",
      "  UserWarning)\n",
      "2021-04-03 12:29:40.319450: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set\n",
      "2021-04-03 12:29:40.320039: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1\n",
      "2021-04-03 12:29:40.647452: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: \n",
      "pciBusID: 0000:01:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:40.649110: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 1 with properties: \n",
      "pciBusID: 0000:02:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:40.650779: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 2 with properties: \n",
      "pciBusID: 0000:46:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:40.652422: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 3 with properties: \n",
      "pciBusID: 0000:81:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:40.654063: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 4 with properties: \n",
      "pciBusID: 0000:82:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:40.655714: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 5 with properties: \n",
      "pciBusID: 0000:c1:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:40.657357: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 6 with properties: \n",
      "pciBusID: 0000:c2:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:40.657377: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-03 12:29:40.659284: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11\n",
      "2021-04-03 12:29:40.659321: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11\n",
      "2021-04-03 12:29:40.660109: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10\n",
      "2021-04-03 12:29:40.660279: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10\n",
      "2021-04-03 12:29:40.662126: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10\n",
      "2021-04-03 12:29:40.662578: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11\n",
      "2021-04-03 12:29:40.662674: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8\n",
      "2021-04-03 12:29:40.693048: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0, 1, 2, 3, 4, 5, 6\n",
      "WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.\n",
      "W0403 12:29:41.352863 139794961803072 model_lib_v2.py:1063] Forced number of epochs for all eval validations to be 1.\n",
      "INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: None\n",
      "I0403 12:29:41.352995 139794961803072 config_util.py:552] Maybe overwriting sample_1_of_n_eval_examples: None\n",
      "INFO:tensorflow:Maybe overwriting use_bfloat16: False\n",
      "I0403 12:29:41.353046 139794961803072 config_util.py:552] Maybe overwriting use_bfloat16: False\n",
      "INFO:tensorflow:Maybe overwriting eval_num_epochs: 1\n",
      "I0403 12:29:41.353093 139794961803072 config_util.py:552] Maybe overwriting eval_num_epochs: 1\n",
      "WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.\n",
      "W0403 12:29:41.353156 139794961803072 model_lib_v2.py:1084] Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.\n",
      "2021-04-03 12:29:41.362588: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set\n",
      "2021-04-03 12:29:42.801952: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: \n",
      "pciBusID: 0000:01:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:42.803621: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 1 with properties: \n",
      "pciBusID: 0000:02:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:42.805803: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 2 with properties: \n",
      "pciBusID: 0000:46:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:42.808019: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 3 with properties: \n",
      "pciBusID: 0000:81:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:42.810242: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 4 with properties: \n",
      "pciBusID: 0000:82:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:42.812461: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 5 with properties: \n",
      "pciBusID: 0000:c1:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:42.814680: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 6 with properties: \n",
      "pciBusID: 0000:c2:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:29:42.814714: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-03 12:29:42.814747: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11\n",
      "2021-04-03 12:29:42.814764: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11\n",
      "2021-04-03 12:29:42.814780: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10\n",
      "2021-04-03 12:29:42.814796: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10\n",
      "2021-04-03 12:29:42.814812: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10\n",
      "2021-04-03 12:29:42.814827: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11\n",
      "2021-04-03 12:29:42.814843: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8\n",
      "2021-04-03 12:29:42.844293: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0, 1, 2, 3, 4, 5, 6\n",
      "2021-04-03 12:29:42.844333: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-03 12:29:45.361843: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
      "2021-04-03 12:29:45.361886: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 1 2 3 4 5 6 \n",
      "2021-04-03 12:29:45.361896: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N Y Y Y Y Y Y \n",
      "2021-04-03 12:29:45.361900: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 1:   Y N Y Y Y Y Y \n",
      "2021-04-03 12:29:45.361904: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 2:   Y Y N Y Y Y Y \n",
      "2021-04-03 12:29:45.361908: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 3:   Y Y Y N Y Y Y \n",
      "2021-04-03 12:29:45.361912: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 4:   Y Y Y Y N Y Y \n",
      "2021-04-03 12:29:45.361918: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 5:   Y Y Y Y Y N Y \n",
      "2021-04-03 12:29:45.361923: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 6:   Y Y Y Y Y Y N \n",
      "2021-04-03 12:29:45.376808: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30123 MB memory) -> physical GPU (device: 0, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:01:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:29:45.380675: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 30122 MB memory) -> physical GPU (device: 1, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:02:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:29:45.384433: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:2 with 30123 MB memory) -> physical GPU (device: 2, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:46:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:29:45.388223: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:3 with 30123 MB memory) -> physical GPU (device: 3, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:81:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:29:45.391974: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:4 with 30122 MB memory) -> physical GPU (device: 4, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:82:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:29:45.395855: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:5 with 30123 MB memory) -> physical GPU (device: 5, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:c1:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:29:45.399695: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:6 with 30123 MB memory) -> physical GPU (device: 6, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:c2:00.0, compute capability: 7.0)\n",
      "I0403 12:29:45.417488 139794961803072 ssd_efficientnet_bifpn_feature_extractor.py:143] EfficientDet EfficientNet backbone version: efficientnet-b4\n",
      "I0403 12:29:45.417612 139794961803072 ssd_efficientnet_bifpn_feature_extractor.py:144] EfficientDet BiFPN num filters: 224\n",
      "I0403 12:29:45.417654 139794961803072 ssd_efficientnet_bifpn_feature_extractor.py:146] EfficientDet BiFPN num iterations: 7\n",
      "I0403 12:29:45.422435 139794961803072 efficientnet_model.py:147] round_filter input=32 output=48\n",
      "I0403 12:29:45.436759 139794961803072 efficientnet_model.py:147] round_filter input=32 output=48\n",
      "I0403 12:29:45.436838 139794961803072 efficientnet_model.py:147] round_filter input=16 output=24\n",
      "I0403 12:29:45.520364 139794961803072 efficientnet_model.py:147] round_filter input=16 output=24\n",
      "I0403 12:29:45.520502 139794961803072 efficientnet_model.py:147] round_filter input=24 output=32\n",
      "I0403 12:29:45.723158 139794961803072 efficientnet_model.py:147] round_filter input=24 output=32\n",
      "I0403 12:29:45.723287 139794961803072 efficientnet_model.py:147] round_filter input=40 output=56\n",
      "I0403 12:29:45.926863 139794961803072 efficientnet_model.py:147] round_filter input=40 output=56\n",
      "I0403 12:29:45.926992 139794961803072 efficientnet_model.py:147] round_filter input=80 output=112\n",
      "I0403 12:29:46.232025 139794961803072 efficientnet_model.py:147] round_filter input=80 output=112\n",
      "I0403 12:29:46.232166 139794961803072 efficientnet_model.py:147] round_filter input=112 output=160\n",
      "I0403 12:29:46.539454 139794961803072 efficientnet_model.py:147] round_filter input=112 output=160\n",
      "I0403 12:29:46.539588 139794961803072 efficientnet_model.py:147] round_filter input=192 output=272\n",
      "I0403 12:29:47.042063 139794961803072 efficientnet_model.py:147] round_filter input=192 output=272\n",
      "I0403 12:29:47.042212 139794961803072 efficientnet_model.py:147] round_filter input=320 output=448\n",
      "I0403 12:29:47.151697 139794961803072 efficientnet_model.py:147] round_filter input=1280 output=1792\n",
      "I0403 12:29:47.170650 139794961803072 efficientnet_model.py:458] Building model efficientnet with params ModelConfig(width_coefficient=1.4, depth_coefficient=1.8, resolution=380, dropout_rate=0.4, blocks=(BlockConfig(input_filters=32, output_filters=16, kernel_size=3, num_repeat=1, expand_ratio=1, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=16, output_filters=24, kernel_size=3, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=24, output_filters=40, kernel_size=5, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=40, output_filters=80, kernel_size=3, num_repeat=3, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=80, output_filters=112, kernel_size=5, num_repeat=3, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=112, output_filters=192, kernel_size=5, num_repeat=4, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=192, output_filters=320, kernel_size=3, num_repeat=1, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise')), stem_base_filters=32, top_base_filters=1280, activation='simple_swish', batch_norm='default', bn_momentum=0.99, bn_epsilon=0.001, weight_decay=5e-06, drop_connect_rate=0.2, depth_divisor=8, min_depth=None, use_se=True, input_channels=3, num_classes=1000, model_name='efficientnet', rescale_input=False, data_format='channels_last', dtype='float32')\n",
      "INFO:tensorflow:Reading unweighted datasets: ['./waymo_data_v120/validation/*']\n",
      "I0403 12:29:47.232021 139794961803072 dataset_builder.py:163] Reading unweighted datasets: ['./waymo_data_v120/validation/*']\n",
      "INFO:tensorflow:Reading record datasets for input file: ['./waymo_data_v120/validation/*']\n",
      "I0403 12:29:47.233871 139794961803072 dataset_builder.py:80] Reading record datasets for input file: ['./waymo_data_v120/validation/*']\n",
      "INFO:tensorflow:Number of filenames to read: 10\n",
      "I0403 12:29:47.233950 139794961803072 dataset_builder.py:81] Number of filenames to read: 10\n",
      "WARNING:tensorflow:num_readers has been reduced to 10 to match input file shards.\n",
      "W0403 12:29:47.234010 139794961803072 dataset_builder.py:88] num_readers has been reduced to 10 to match input file shards.\n",
      "WARNING:tensorflow:`shuffle` is false, but the input data stream is still slightly shuffled since `num_readers` > 1.\n",
      "W0403 12:29:47.234491 139794961803072 dataset_builder.py:94] `shuffle` is false, but the input data stream is still slightly shuffled since `num_readers` > 1.\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py:105: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.\n",
      "W0403 12:29:47.234826 139794961803072 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py:105: parallel_interleave (from tensorflow.python.data.experimental.ops.interleave_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.data.Dataset.interleave(map_func, cycle_length, block_length, num_parallel_calls=tf.data.AUTOTUNE)` instead. If sloppy execution is desired, use `tf.data.Options.experimental_deterministic`.\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py:237: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.data.Dataset.map()\n",
      "W0403 12:29:47.251163 139794961803072 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py:237: DatasetV1.map_with_legacy_function (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.data.Dataset.map()\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/util/dispatch.py:201: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.\n",
      "W0403 12:29:50.358492 139794961803072 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/util/dispatch.py:201: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/inputs.py:282: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.cast` instead.\n",
      "W0403 12:29:51.540169 139794961803072 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/inputs.py:282: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.cast` instead.\n",
      "INFO:tensorflow:Waiting for new checkpoint at ./outputmodel_waymo_v120_efficientdet_d4\n",
      "I0403 12:29:53.663195 139794961803072 checkpoint_utils.py:139] Waiting for new checkpoint at ./outputmodel_waymo_v120_efficientdet_d4\n",
      "INFO:tensorflow:Found new checkpoint at ./outputmodel_waymo_v120_efficientdet_d4/ckpt-51\n",
      "I0403 12:29:53.663995 139794961803072 checkpoint_utils.py:148] Found new checkpoint at ./outputmodel_waymo_v120_efficientdet_d4/ckpt-51\n",
      "/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/keras/backend.py:434: UserWarning: `tf.keras.backend.set_learning_phase` is deprecated and will be removed after 2020-10-11. To update it, simply pass a True/False value to the `training` argument of the `__call__` method of your layer or model.\n",
      "  warnings.warn('`tf.keras.backend.set_learning_phase` is deprecated and '\n",
      "2021-04-03 12:30:00.560152: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)\n",
      "2021-04-03 12:30:00.578627: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 2500240000 Hz\n",
      "2021-04-03 12:30:47.906797: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11\n",
      "2021-04-03 12:30:48.197159: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11\n",
      "2021-04-03 12:30:48.284358: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/eval_util.py:929: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.cast` instead.\n",
      "W0403 12:30:52.016354 139794961803072 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/eval_util.py:929: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.cast` instead.\n",
      "INFO:tensorflow:Finished eval step 0\n",
      "I0403 12:30:52.062955 139794961803072 model_lib_v2.py:939] Finished eval step 0\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/utils/visualization_utils.py:617: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "tf.py_func is deprecated in TF V2. Instead, there are two\n",
      "    options available in V2.\n",
      "    - tf.py_function takes a python function which manipulates tf eager\n",
      "    tensors instead of numpy arrays. It's easy to convert a tf eager tensor to\n",
      "    an ndarray (just call tensor.numpy()) but having access to eager tensors\n",
      "    means `tf.py_function`s can use accelerators such as GPUs as well as\n",
      "    being differentiable using a gradient tape.\n",
      "    - tf.numpy_function maintains the semantics of the deprecated tf.py_func\n",
      "    (it is not differentiable, and manipulates numpy arrays). It drops the\n",
      "    stateful argument making all functions stateful.\n",
      "    \n",
      "W0403 12:30:52.189946 139794961803072 deprecation.py:339] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/utils/visualization_utils.py:617: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "tf.py_func is deprecated in TF V2. Instead, there are two\n",
      "    options available in V2.\n",
      "    - tf.py_function takes a python function which manipulates tf eager\n",
      "    tensors instead of numpy arrays. It's easy to convert a tf eager tensor to\n",
      "    an ndarray (just call tensor.numpy()) but having access to eager tensors\n",
      "    means `tf.py_function`s can use accelerators such as GPUs as well as\n",
      "    being differentiable using a gradient tape.\n",
      "    - tf.numpy_function maintains the semantics of the deprecated tf.py_func\n",
      "    (it is not differentiable, and manipulates numpy arrays). It drops the\n",
      "    stateful argument making all functions stateful.\n",
      "    \n",
      "INFO:tensorflow:Finished eval step 100\n",
      "I0403 12:34:54.859491 139794961803072 model_lib_v2.py:939] Finished eval step 100\n",
      "INFO:tensorflow:Finished eval step 200\n",
      "I0403 12:36:47.814196 139794961803072 model_lib_v2.py:939] Finished eval step 200\n",
      "INFO:tensorflow:Finished eval step 300\n",
      "I0403 12:38:40.763062 139794961803072 model_lib_v2.py:939] Finished eval step 300\n",
      "INFO:tensorflow:Finished eval step 400\n",
      "I0403 12:40:33.923644 139794961803072 model_lib_v2.py:939] Finished eval step 400\n",
      "INFO:tensorflow:Finished eval step 500\n",
      "I0403 12:42:26.462860 139794961803072 model_lib_v2.py:939] Finished eval step 500\n",
      "INFO:tensorflow:Performing evaluation on 7882 images.\n",
      "I0403 12:43:36.608919 139794961803072 coco_evaluation.py:293] Performing evaluation on 7882 images.\n",
      "creating index...\n",
      "index created!\n",
      "INFO:tensorflow:Loading and preparing annotation results...\n",
      "I0403 12:43:36.688572 139794961803072 coco_tools.py:116] Loading and preparing annotation results...\n",
      "INFO:tensorflow:DONE (t=0.30s)\n",
      "I0403 12:43:36.985745 139794961803072 coco_tools.py:138] DONE (t=0.30s)\n",
      "creating index...\n",
      "index created!\n",
      "Running per image evaluation...\n",
      "Evaluate annotation type *bbox*\n",
      "DONE (t=367.09s).\n",
      "Accumulating evaluation results...\n",
      "DONE (t=7.61s).\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.225\n",
      " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.415\n",
      " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.216\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.023\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.301\n",
      " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.604\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.088\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.236\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.294\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.083\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.400\n",
      " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.675\n",
      "INFO:tensorflow:Eval metrics at step 50000\n",
      "I0403 12:49:52.237043 139794961803072 model_lib_v2.py:988] Eval metrics at step 50000\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Precision/mAP: 0.225304\n",
      "I0403 12:49:52.245613 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Precision/mAP: 0.225304\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Precision/mAP@.50IOU: 0.414941\n",
      "I0403 12:49:52.246832 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Precision/mAP@.50IOU: 0.414941\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Precision/mAP@.75IOU: 0.216026\n",
      "I0403 12:49:52.247538 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Precision/mAP@.75IOU: 0.216026\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Precision/mAP (small): 0.022913\n",
      "I0403 12:49:52.248237 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Precision/mAP (small): 0.022913\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Precision/mAP (medium): 0.300851\n",
      "I0403 12:49:52.248926 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Precision/mAP (medium): 0.300851\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Precision/mAP (large): 0.604025\n",
      "I0403 12:49:52.249575 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Precision/mAP (large): 0.604025\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Recall/AR@1: 0.087757\n",
      "I0403 12:49:52.250186 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Recall/AR@1: 0.087757\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Recall/AR@10: 0.235908\n",
      "I0403 12:49:52.250824 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Recall/AR@10: 0.235908\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Recall/AR@100: 0.293726\n",
      "I0403 12:49:52.251512 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Recall/AR@100: 0.293726\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Recall/AR@100 (small): 0.083003\n",
      "I0403 12:49:52.252166 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Recall/AR@100 (small): 0.083003\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Recall/AR@100 (medium): 0.400292\n",
      "I0403 12:49:52.252768 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Recall/AR@100 (medium): 0.400292\n",
      "INFO:tensorflow:\t+ DetectionBoxes_Recall/AR@100 (large): 0.675249\n",
      "I0403 12:49:52.253381 139794961803072 model_lib_v2.py:991] \t+ DetectionBoxes_Recall/AR@100 (large): 0.675249\n",
      "INFO:tensorflow:\t+ Loss/localization_loss: 0.005571\n",
      "I0403 12:49:52.253851 139794961803072 model_lib_v2.py:991] \t+ Loss/localization_loss: 0.005571\n",
      "INFO:tensorflow:\t+ Loss/classification_loss: 0.182770\n",
      "I0403 12:49:52.254370 139794961803072 model_lib_v2.py:991] \t+ Loss/classification_loss: 0.182770\n",
      "INFO:tensorflow:\t+ Loss/regularization_loss: 0.044371\n",
      "I0403 12:49:52.254930 139794961803072 model_lib_v2.py:991] \t+ Loss/regularization_loss: 0.044371\n",
      "INFO:tensorflow:\t+ Loss/total_loss: 0.232713\n",
      "I0403 12:49:52.255453 139794961803072 model_lib_v2.py:991] \t+ Loss/total_loss: 0.232713\n",
      "INFO:tensorflow:Waiting for new checkpoint at ./outputmodel_waymo_v120_efficientdet_d4\n",
      "I0403 12:49:53.234734 139794961803072 checkpoint_utils.py:139] Waiting for new checkpoint at ./outputmodel_waymo_v120_efficientdet_d4\n",
      "^C\n",
      "Traceback (most recent call last):\n",
      "  File \"models/research/object_detection/model_main_tf2.py\", line 116, in <module>\n",
      "    tf.compat.v1.app.run()\n",
      "  File \"/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/platform/app.py\", line 40, in run\n",
      "    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)\n",
      "  File \"/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/absl/app.py\", line 303, in run\n",
      "    _run_main(main, args)\n",
      "  File \"/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/absl/app.py\", line 251, in _run_main\n",
      "    sys.exit(main(argv))\n",
      "  File \"models/research/object_detection/model_main_tf2.py\", line 91, in main\n",
      "    wait_interval=300, timeout=FLAGS.eval_timeout)\n",
      "  File \"/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/model_lib_v2.py\", line 1110, in eval_continuously\n",
      "    checkpoint_dir, timeout=timeout, min_interval_secs=wait_interval):\n",
      "  File \"/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/training/checkpoint_utils.py\", line 198, in checkpoints_iterator\n",
      "    checkpoint_dir, checkpoint_path, timeout=timeout)\n",
      "  File \"/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/tensorflow/python/training/checkpoint_utils.py\", line 146, in wait_for_new_checkpoint\n",
      "    time.sleep(seconds_to_sleep)\n",
      "KeyboardInterrupt\n"
     ]
    }
   ],
   "source": [
    "PIPELINE_CONFIG_PATH='./pipeline_file.config'\n",
    "MODEL_DIR='./outputmodel_waymo_v120_efficientdet_d4'\n",
    "CHECKPOINT_DIR='./outputmodel_waymo_v120_efficientdet_d4'\n",
    "!python models/research/object_detection/model_main_tf2.py \\\n",
    "    --pipeline_config_path={PIPELINE_CONFIG_PATH} \\\n",
    "    --model_dir={MODEL_DIR} \\\n",
    "    --checkpoint_dir={CHECKPOINT_DIR} \\\n",
    "    --num_workers=7 \\\n",
    "    --alsologtostderr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ef1a542",
   "metadata": {},
   "source": [
    "# Export Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "146871d9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-04-03 12:58:00.275218: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "/home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/scipy/__init__.py:140: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.16.0)\n",
      "  UserWarning)\n",
      "2021-04-03 12:58:01.945714: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set\n",
      "2021-04-03 12:58:01.946350: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1\n",
      "2021-04-03 12:58:02.285989: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: \n",
      "pciBusID: 0000:01:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:02.288273: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 1 with properties: \n",
      "pciBusID: 0000:02:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:02.290516: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 2 with properties: \n",
      "pciBusID: 0000:46:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:02.292281: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 3 with properties: \n",
      "pciBusID: 0000:81:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:02.295292: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 4 with properties: \n",
      "pciBusID: 0000:82:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:02.296936: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 5 with properties: \n",
      "pciBusID: 0000:c1:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:02.298606: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 6 with properties: \n",
      "pciBusID: 0000:c2:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:02.298623: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-03 12:58:02.300993: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11\n",
      "2021-04-03 12:58:02.301043: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11\n",
      "2021-04-03 12:58:02.302136: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10\n",
      "2021-04-03 12:58:02.302386: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10\n",
      "2021-04-03 12:58:02.304966: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10\n",
      "2021-04-03 12:58:02.305591: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11\n",
      "2021-04-03 12:58:02.305733: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8\n",
      "2021-04-03 12:58:02.342634: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0, 1, 2, 3, 4, 5, 6\n",
      "2021-04-03 12:58:02.346241: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set\n",
      "2021-04-03 12:58:03.749962: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: \n",
      "pciBusID: 0000:01:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:03.753673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 1 with properties: \n",
      "pciBusID: 0000:02:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:03.755326: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 2 with properties: \n",
      "pciBusID: 0000:46:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:03.756961: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 3 with properties: \n",
      "pciBusID: 0000:81:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:03.758603: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 4 with properties: \n",
      "pciBusID: 0000:82:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:03.760787: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 5 with properties: \n",
      "pciBusID: 0000:c1:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:03.762998: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 6 with properties: \n",
      "pciBusID: 0000:c2:00.0 name: Tesla V100S-PCIE-32GB computeCapability: 7.0\n",
      "coreClock: 1.597GHz coreCount: 80 deviceMemorySize: 31.75GiB deviceMemoryBandwidth: 1.03TiB/s\n",
      "2021-04-03 12:58:03.763030: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-03 12:58:03.763066: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11\n",
      "2021-04-03 12:58:03.763083: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11\n",
      "2021-04-03 12:58:03.763097: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10\n",
      "2021-04-03 12:58:03.763112: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10\n",
      "2021-04-03 12:58:03.763127: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10\n",
      "2021-04-03 12:58:03.763202: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11\n",
      "2021-04-03 12:58:03.763217: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8\n",
      "2021-04-03 12:58:03.788543: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0, 1, 2, 3, 4, 5, 6\n",
      "2021-04-03 12:58:03.788580: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n",
      "2021-04-03 12:58:06.299767: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
      "2021-04-03 12:58:06.299812: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 1 2 3 4 5 6 \n",
      "2021-04-03 12:58:06.299819: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N Y Y Y Y Y Y \n",
      "2021-04-03 12:58:06.299823: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 1:   Y N Y Y Y Y Y \n",
      "2021-04-03 12:58:06.299827: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 2:   Y Y N Y Y Y Y \n",
      "2021-04-03 12:58:06.299831: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 3:   Y Y Y N Y Y Y \n",
      "2021-04-03 12:58:06.299835: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 4:   Y Y Y Y N Y Y \n",
      "2021-04-03 12:58:06.299839: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 5:   Y Y Y Y Y N Y \n",
      "2021-04-03 12:58:06.299843: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 6:   Y Y Y Y Y Y N \n",
      "2021-04-03 12:58:06.318784: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 30123 MB memory) -> physical GPU (device: 0, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:01:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:58:06.322737: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 30123 MB memory) -> physical GPU (device: 1, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:02:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:58:06.329067: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:2 with 30123 MB memory) -> physical GPU (device: 2, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:46:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:58:06.334540: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:3 with 30123 MB memory) -> physical GPU (device: 3, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:81:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:58:06.338553: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:4 with 30123 MB memory) -> physical GPU (device: 4, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:82:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:58:06.342938: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:5 with 30123 MB memory) -> physical GPU (device: 5, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:c1:00.0, compute capability: 7.0)\n",
      "2021-04-03 12:58:06.349671: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:6 with 30123 MB memory) -> physical GPU (device: 6, name: Tesla V100S-PCIE-32GB, pci bus id: 0000:c2:00.0, compute capability: 7.0)\n",
      "I0403 12:58:06.671759 139684100794176 ssd_efficientnet_bifpn_feature_extractor.py:143] EfficientDet EfficientNet backbone version: efficientnet-b4\n",
      "I0403 12:58:06.671907 139684100794176 ssd_efficientnet_bifpn_feature_extractor.py:144] EfficientDet BiFPN num filters: 224\n",
      "I0403 12:58:06.671952 139684100794176 ssd_efficientnet_bifpn_feature_extractor.py:146] EfficientDet BiFPN num iterations: 7\n",
      "I0403 12:58:06.676301 139684100794176 efficientnet_model.py:147] round_filter input=32 output=48\n",
      "I0403 12:58:06.689834 139684100794176 efficientnet_model.py:147] round_filter input=32 output=48\n",
      "I0403 12:58:06.689907 139684100794176 efficientnet_model.py:147] round_filter input=16 output=24\n",
      "I0403 12:58:06.772531 139684100794176 efficientnet_model.py:147] round_filter input=16 output=24\n",
      "I0403 12:58:06.772668 139684100794176 efficientnet_model.py:147] round_filter input=24 output=32\n",
      "I0403 12:58:06.973589 139684100794176 efficientnet_model.py:147] round_filter input=24 output=32\n",
      "I0403 12:58:06.973720 139684100794176 efficientnet_model.py:147] round_filter input=40 output=56\n",
      "I0403 12:58:07.248038 139684100794176 efficientnet_model.py:147] round_filter input=40 output=56\n",
      "I0403 12:58:07.248180 139684100794176 efficientnet_model.py:147] round_filter input=80 output=112\n",
      "I0403 12:58:07.548622 139684100794176 efficientnet_model.py:147] round_filter input=80 output=112\n",
      "I0403 12:58:07.548756 139684100794176 efficientnet_model.py:147] round_filter input=112 output=160\n",
      "I0403 12:58:07.848690 139684100794176 efficientnet_model.py:147] round_filter input=112 output=160\n",
      "I0403 12:58:07.848832 139684100794176 efficientnet_model.py:147] round_filter input=192 output=272\n",
      "I0403 12:58:08.248494 139684100794176 efficientnet_model.py:147] round_filter input=192 output=272\n",
      "I0403 12:58:08.248636 139684100794176 efficientnet_model.py:147] round_filter input=320 output=448\n",
      "I0403 12:58:08.349732 139684100794176 efficientnet_model.py:147] round_filter input=1280 output=1792\n",
      "I0403 12:58:08.368175 139684100794176 efficientnet_model.py:458] Building model efficientnet with params ModelConfig(width_coefficient=1.4, depth_coefficient=1.8, resolution=380, dropout_rate=0.4, blocks=(BlockConfig(input_filters=32, output_filters=16, kernel_size=3, num_repeat=1, expand_ratio=1, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=16, output_filters=24, kernel_size=3, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=24, output_filters=40, kernel_size=5, num_repeat=2, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=40, output_filters=80, kernel_size=3, num_repeat=3, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=80, output_filters=112, kernel_size=5, num_repeat=3, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=112, output_filters=192, kernel_size=5, num_repeat=4, expand_ratio=6, strides=(2, 2), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise'), BlockConfig(input_filters=192, output_filters=320, kernel_size=3, num_repeat=1, expand_ratio=6, strides=(1, 1), se_ratio=0.25, id_skip=True, fused_conv=False, conv_type='depthwise')), stem_base_filters=32, top_base_filters=1280, activation='simple_swish', batch_norm='default', bn_momentum=0.99, bn_epsilon=0.001, weight_decay=5e-06, drop_connect_rate=0.2, depth_divisor=8, min_depth=None, use_se=True, input_channels=3, num_classes=1000, model_name='efficientnet', rescale_input=False, data_format='channels_last', dtype='float32')\n",
      "WARNING:tensorflow:From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/exporter_lib_v2.py:106: calling map_fn_v2 (from tensorflow.python.ops.map_fn) with back_prop=False is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "back_prop=False is deprecated. Consider using tf.stop_gradient instead.\n",
      "Instead of:\n",
      "results = tf.map_fn(fn, elems, back_prop=False)\n",
      "Use:\n",
      "results = tf.nest.map_structure(tf.stop_gradient, tf.map_fn(fn, elems))\n",
      "W0403 12:58:14.741308 139684100794176 deprecation.py:604] From /home/xenowulf/anaconda3/envs/tf/lib/python3.7/site-packages/object_detection/exporter_lib_v2.py:106: calling map_fn_v2 (from tensorflow.python.ops.map_fn) with back_prop=False is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "back_prop=False is deprecated. Consider using tf.stop_gradient instead.\n",
      "Instead of:\n",
      "results = tf.map_fn(fn, elems, back_prop=False)\n",
      "Use:\n",
      "results = tf.nest.map_structure(tf.stop_gradient, tf.map_fn(fn, elems))\n",
      "WARNING:tensorflow:Skipping full serialization of Keras layer <object_detection.meta_architectures.ssd_meta_arch.SSDMetaArch object at 0x7f09404eb128>, because it is not built.\n",
      "W0403 12:58:30.507939 139684100794176 save_impl.py:78] Skipping full serialization of Keras layer <object_detection.meta_architectures.ssd_meta_arch.SSDMetaArch object at 0x7f09404eb128>, because it is not built.\n",
      "2021-04-03 12:59:03.560537: W tensorflow/python/util/util.cc:348] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:30.302819 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:30.303066 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:30.303202 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:30.303313 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:42.125874 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:42.126106 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:42.126235 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:42.126341 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:42.126458 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:42.126559 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "W0403 12:59:53.410972 139684100794176 save.py:241] Found untraced functions such as WeightSharedConvolutionalBoxPredictor_layer_call_fn, WeightSharedConvolutionalBoxPredictor_layer_call_and_return_conditional_losses, WeightSharedConvolutionalBoxHead_layer_call_fn, WeightSharedConvolutionalBoxHead_layer_call_and_return_conditional_losses, WeightSharedConvolutionalBoxPredictor_layer_call_fn while saving (showing 5 of 950). These functions will not be directly callable after loading.\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:54.158881 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:54.159133 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:54.159263 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:54.159370 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:54.694137 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:54.694382 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:54.694514 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:54.694620 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 12:59:54.694730 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 12:59:54.694832 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "W0403 12:59:55.913005 139684100794176 save.py:241] Found untraced functions such as WeightSharedConvolutionalBoxPredictor_layer_call_fn, WeightSharedConvolutionalBoxPredictor_layer_call_and_return_conditional_losses, WeightSharedConvolutionalBoxHead_layer_call_fn, WeightSharedConvolutionalBoxHead_layer_call_and_return_conditional_losses, WeightSharedConvolutionalBoxPredictor_layer_call_fn while saving (showing 5 of 950). These functions will not be directly callable after loading.\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 13:00:08.829485 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac668>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac3c8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054faac908>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 13:00:08.829751 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fcf8>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5ffd0>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f054fb5fc88>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "I0403 13:00:08.830074 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c470>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c0b8>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c11c7b8>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], False), {}).\n",
      "INFO:tensorflow:Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "I0403 13:00:08.830202 139684100794176 def_function.py:1170] Unsupported signature for serialization: (([(<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1e48>, TensorSpec(shape=(None, 128, 128, 56), dtype=tf.float32, name='feature_pyramid/0/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1d30>, TensorSpec(shape=(None, 64, 64, 160), dtype=tf.float32, name='feature_pyramid/1/1')), (<tensorflow.python.framework.func_graph.UnknownArgument object at 0x7f056c6b1be0>, TensorSpec(shape=(None, 32, 32, 448), dtype=tf.float32, name='feature_pyramid/2/1'))], True), {}).\n",
      "INFO:tensorflow:Assets written to: ./exportmodel_waymo_v120_efficientdet_d4/saved_model/assets\n",
      "I0403 13:00:11.492402 139684100794176 builder_impl.py:775] Assets written to: ./exportmodel_waymo_v120_efficientdet_d4/saved_model/assets\n",
      "INFO:tensorflow:Writing pipeline config file to ./exportmodel_waymo_v120_efficientdet_d4/pipeline.config\n",
      "I0403 13:00:15.121424 139684100794176 config_util.py:254] Writing pipeline config file to ./exportmodel_waymo_v120_efficientdet_d4/pipeline.config\n"
     ]
    }
   ],
   "source": [
    "!python models/research/object_detection/exporter_main_v2.py \\\n",
    "    --input_type image_tensor \\\n",
    "    --pipeline_config_path {PIPELINE_CONFIG_PATH} \\\n",
    "    --trained_checkpoint_dir ./outputmodel_waymo_v120_efficientdet_d4 \\\n",
    "    --output_directory ./exportmodel_waymo_v120_efficientdet_d4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a31d43e7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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