result_display_ppo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Performance measurements of a specific ppo agent\n",
    "### ( ppo is not completely implemented yet) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Cartpole environment](https://nav74neet.github.io/media/blog/openaigym/openaigym.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Includes:\n",
    "    - Tensorboard:\n",
    "        - Loss\n",
    "        - Av return \n",
    "        - Av Episode length\n",
    "        - Gradient norms \n",
    "        - Variable norms\n",
    "        \n",
    "    - Final Policy evaluation\n",
    "    - Best Policy evaluation\n",
    "    - Videos of both policies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the GPU for training\n",
    "import os\n",
    "os.environ['CUDA_VISIBLE_DEVICES']='0'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "# insert at 1, 0 is the script path (or '' in REPL)\n",
    "sys.path.insert(1, 'modules/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from modules.train_eval import *\n",
    "from modules.transformers_encoders import * \n",
    "from modules.utils import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf  # pylint: disable=g-explicit-tensorflow-version-import\n",
    "from tf_agents.networks import network\n",
    "from tf_agents.environments import tf_environment\n",
    "import numpy as np\n",
    "import pickle\n",
    "import matplotlib.pyplot as plt\n",
    "import gym\n",
    "from tf_agents.agents.dqn import dqn_agent\n",
    "from tf_agents.environments import suite_gym\n",
    "from tf_agents.environments import tf_py_environment\n",
    "from tf_agents.eval import metric_utils\n",
    "from tf_agents.metrics import tf_metrics\n",
    "from tf_agents.policies import policy_saver\n",
    "from tf_agents.networks import q_network\n",
    "from tf_agents.policies import random_tf_policy\n",
    "from tf_agents.trajectories.trajectory import *\n",
    "from tf_agents.utils import common \n",
    "from tf_agents.environments.tf_wrappers import TFEnvironmentBaseWrapper\n",
    "from tf_agents.utils.common import element_wise_squared_loss, element_wise_huber_loss\n",
    "\n",
    "from tf_agents.agents.ppo import ppo_clip_agent\n",
    "from tf_agents.drivers import dynamic_episode_driver\n",
    "from tf_agents.environments import parallel_py_environment\n",
    "from tf_agents.environments import suite_mujoco,suite_gym\n",
    "from tf_agents.environments import tf_py_environment\n",
    "from tf_agents.eval import metric_utils\n",
    "from tf_agents.metrics import tf_metrics\n",
    "from tf_agents.networks import actor_distribution_network\n",
    "from tf_agents.networks import actor_distribution_rnn_network\n",
    "from tf_agents.networks import value_network\n",
    "from tf_agents.networks import value_rnn_network\n",
    "from tf_agents.policies import policy_saver\n",
    "from tf_agents.replay_buffers import tf_uniform_replay_buffer\n",
    "from tf_agents.utils import common\n",
    "\n",
    "encoderList = {1:Encoder_1,2:Encoder_2,3:Encoder_3}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def embed_mp4(filename):\n",
    "    \"\"\"Embeds an mp4 file in the notebook.\"\"\"\n",
    "    video = open(filename,'rb').read()\n",
    "    b64 = base64.b64encode(video)\n",
    "    tag = '''\n",
    "    <video width=\"640\" height=\"480\" controls>\n",
    "    <source src=\"data:video/mp4;base64,{0}\" type=\"video/mp4\">\n",
    "    Your browser does not support the video tag.\n",
    "    </video>'''.format(b64.decode())\n",
    "    return IPython.display.HTML(tag)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the training args"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Choose which agent you want to evaluate and specify the correct path\n",
    "directory = \"experiment_scripts/example_result\"\n",
    "args = pickle.load((open(directory + \"/training_args.p\",\"rb\")))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Namespace(approx_env_boundaries=False, atari=False, batch_size=32, checkpoint_interval=10000, collect_steps_per_iteration=1, custom_last_layer=True, custom_layer_init=1, custom_lr_schedule='No', d_model=64, debug_summaries=False, dff=256, doubleQ=True, encoder_type=3, env='CartPole-v1', epsilon_greedy=0.1, eval_interval=1000, gamma=0.99, gradient_clipping=True, initial_collect_steps=20000, layer_type=3, learning_rate=0.0001, log_interval=1000, loss_function='element_wise_squared_loss', max_horizon=5, normalize_env=False, num_eval_episodes=10, num_heads=4, num_iparallel=1, num_iterations=150000, num_layers=3, output_dir='Cart_Try_1', rate=0.1, replay_buffer_max_length=100000, reward_scale_factor=1.0, run_graph_mode=True, summarize_grads_and_vars=False, summary_flush=10, summary_interval=1000, target_update_period=10, target_update_tau=1, train_steps_per_iteration=1)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "args"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build Everything according to script"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "global_step = tf.compat.v1.train.get_or_create_global_step()\n",
    "optimizer = tf.compat.v1.train.AdamOptimizer(learning_rate=args.learning_rate)\n",
    "\n",
    "eval_env = suite_gym.load(args.env)\n",
    "eval_tf_env = tf_py_environment.TFPyEnvironment(suite_gym.load(args.env))\n",
    "    #[lambda: PyhistoryWrapper(suite_gym.load(args.env),args.max_horizon,args.atari)] * args.num_parallel)\n",
    "tf_env = tf_py_environment.TFPyEnvironment(\n",
    "    parallel_py_environment.ParallelPyEnvironment(\n",
    "        #[lambda: PyhistoryWrapper(suite_gym.load(args.env),args.max_horizon,args.atari)] * args.num_parallel))\n",
    "        [lambda: suite_gym.load(args.env)] * args.num_parallel))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "    actor_net = actor_distribution_network.ActorDistributionNetwork(\n",
    "        tf_env.observation_spec(),\n",
    "        tf_env.action_spec(),\n",
    "        fc_layer_params=(200, 100),\n",
    "        activation_fn=tf.keras.activations.tanh)\n",
    "    value_net = value_network.ValueNetwork(\n",
    "        tf_env.observation_spec(),\n",
    "        fc_layer_params=(200, 100),\n",
    "        activation_fn=tf.keras.activations.tanh)\n",
    "\n",
    "    tf_agent = ppo_clip_agent.PPOClipAgent(\n",
    "        tf_env.time_step_spec(),\n",
    "        tf_env.action_spec(),\n",
    "        optimizer,\n",
    "        actor_net=actor_net,\n",
    "        value_net=value_net,\n",
    "        entropy_regularization=0.0,\n",
    "        importance_ratio_clipping=0.2,\n",
    "        normalize_observations=False,\n",
    "        normalize_rewards=False,\n",
    "        use_gae=True,\n",
    "        num_epochs=args.num_epochs,\n",
    "        debug_summaries=args.debug_summaries,\n",
    "        summarize_grads_and_vars=args.summarize_grads_and_vars,\n",
    "        train_step_counter=global_step)\n",
    "    tf_agent.initialize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "time_step = eval_tf_env.current_time_step()\n",
    "action_step = tf_agent.policy.action(time_step)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "time_step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PolicyStep(action=<tf.Tensor: shape=(1,), dtype=int64, numpy=array([0])>, state=(), info=())"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "action_step"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get either the best or the final policy checkpoint, make  video and get AV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.training.tracking.util.CheckpointLoadStatus at 0x7fa69cb5ba20>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_checkpointer = common.Checkpointer(\n",
    "    ckpt_dir=directory + \"/train\",\n",
    "    agent=tf_agent,\n",
    "    global_step=global_step,\n",
    "    max_to_keep=1)\n",
    "train_checkpointer.initialize_or_restore()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "461.0"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#create_policy_eval_video(tf_agent.policy,suite_gym.load(args.env),directory + \"/finalAgent\", num_episodes =1)\n",
    "compute_avg_return(eval_tf_env, tf_agent.policy , num_episodes=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.training.tracking.util.InitializationOnlyStatus at 0x7fa6a106b470>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "policy_checkpointer = common.Checkpointer(\n",
    "    ckpt_dir= directory + \"/policy_saved_model\",\n",
    "    policy=tf_agent.policy,\n",
    "    max_to_keep=1,\n",
    "    global_step=global_step)\n",
    "policy_checkpointer.initialize_or_restore()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create_policy_eval_video(tf_agent.policy,suite_gym.load(args.env),directory + \"/bestAgent\", num_episodes =1)\n",
    "compute_avg_return(suite_gym.load(args.env), tf_agent.policy , num_episodes=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Attention display "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = tf_env.step(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "a,b = agent._q_network(a.observation,attention_out = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 1, 4, 4, 4)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_self_attention(b[0], 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def collect_q (environment,agent,n):\n",
    "    q_collection = []\n",
    "    time_step = environment.current_time_step()\n",
    "    for x in range(n):\n",
    "        action_step = agent.policy.action(time_step)\n",
    "        time_step = environment.step(action_step.action.numpy()[0])\n",
    "        Q = agent._q_network(time_step.observation)\n",
    "        q_collection.append(Q[0].numpy().tolist())\n",
    "    return q_collection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[[20.269624710083008, 20.19723892211914]],\n",
       " [[19.940690994262695, 20.030078887939453]]]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "collect_q (tf_env,agent,2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display the videos if needed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <video width=\"640\" height=\"480\" controls>\n",
       "    <source 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type=\"video/mp4\">\n",
       "    Your browser does not support the video tag.\n",
       "    </video>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embed_mp4(directory + \"/bestAgent.mp4\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <video width=\"640\" height=\"480\" controls>\n",
       "    <source 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embed_mp4(directory + \"/finalAgent.mp4\")"
   ]
  }
 ],
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