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Add LLaMA2 model to pt nightly tests (#965)
* Add LLaMA2 model to pt nightly tests * Update targets.jsonnet adding LLaMA2 * Update llama2-model.libsonnet with data * Update llama2-model.libsonnet format * Update targets.jsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * Update llama2-model.libsonnet * add `latency/token` as a threshold for llama2 test * Update llama2-model.libsonnet with `latency/token` threshold * Update llama2-model.libsonnet * Update llama2-model.libsonnet with training
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| // Copyright 2020 Google LLC | ||
| // | ||
| // Licensed under the Apache License, Version 2.0 (the "License"); | ||
| // you may not use this file except in compliance with the License. | ||
| // You may obtain a copy of the License at | ||
| // | ||
| // https://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, software | ||
| // distributed under the License is distributed on an "AS IS" BASIS, | ||
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| // See the License for the specific language governing permissions and | ||
| // limitations under the License. | ||
|
|
||
| local experimental = import '../experimental.libsonnet'; | ||
| local common = import 'common.libsonnet'; | ||
| local timeouts = import 'templates/timeouts.libsonnet'; | ||
| local tpus = import 'templates/tpus.libsonnet'; | ||
| local utils = import 'templates/utils.libsonnet'; | ||
|
|
||
| { | ||
| local llama2_inference = self.llama2_inference, | ||
| llama2_inference:: common.PyTorchTest { | ||
| local config = self, | ||
| modelName: 'l2-i', | ||
| paramsOverride:: { | ||
| scriptPath: 'llama/7B/llama2inference.sh', | ||
| trainCommand: [ | ||
| 'bash', | ||
| self.scriptPath, | ||
| ], | ||
| }, | ||
| command: self.paramsOverride.trainCommand, | ||
| }, | ||
| local llama2_training = self.llama2_training, | ||
| llama2_training:: common.PyTorchTest { | ||
| local config = self, | ||
| modelName: 'l2-t', | ||
| paramsOverride:: { | ||
| scriptPath: 'llama/transformers/7B/llama2training.sh', | ||
| trainCommand: [ | ||
| 'bash', | ||
| self.scriptPath, | ||
| ], | ||
| }, | ||
| command: self.paramsOverride.trainCommand, | ||
| }, | ||
| local pjrt = self.pjrt, | ||
| pjrt:: common.PyTorchTpuVmMixin { | ||
| modelName+: '-n-i', | ||
| tpuSettings+: { | ||
| tpuVmExtraSetup: ||| | ||
| pip3 uninstall torch torch_xla torchvision libtpu-nightly -y | ||
| sudo apt-get update -y | ||
| sudo apt-get install libomp5 -y | ||
| pip3 install mkl mkl-include | ||
| pip3 install tf-nightly tb-nightly tbp-nightly | ||
| pip3 install numpy | ||
| sudo apt-get install numactl -y | ||
| sudo apt-get install libopenblas-dev -y | ||
| pip3 install https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch-nightly+20230821-cp310-cp310-linux_x86_64.whl | ||
| pip3 install https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-nightly+20230821-cp310-cp310-linux_x86_64.whl | ||
| pip3 install torch_xla[tpuvm] | ||
| # install tokenizer model | ||
| wget https://storage.googleapis.com/tpu-pytorch/lsiyuan-experiment/llama/spiece.model | ||
| # git clone and build llama | ||
| git clone --branch llama2-google-next-inference https://github.com/pytorch-tpu/llama.git | ||
| cd llama | ||
| pip3 install -r requirements.txt | ||
| pip3 install -e . | ||
| # 7B config | ||
| mkdir 7B | ||
| cd 7B/ | ||
| echo -e '{"dim": 4096, "multiple_of": 256, "n_heads": 32, "n_layers": 32, "norm_eps": 1e-05, "vocab_size": -1}' >> params.json | ||
| # save llama2 test | ||
| echo -e 'python3 llama/example_text_completion.py True "/home/xl-ml-test/llama/7B" /home/xl-ml-test/spiece.model --max_seq_len=2048 --max_gen_len=1000 --max_batch_size=2 --dynamo=True > output.txt' >> llama2inference.sh | ||
| echo -e 'file = open("output.txt")' >> getvalue.py | ||
| echo -e 'content = file.readlines()' >> getvalue.py | ||
| echo -e 'warm_line = content[-6]' >> getvalue.py | ||
| echo -e 'warm_value = float((warm_line.split())[5])' >> getvalue.py | ||
| echo -e 'if warm_value > 7.948752 or warm_value < 7.191728:' >> getvalue.py | ||
| echo -e ' raise ValueError("warm latency/token exceeded throuhold 7.57024 +- 5%")' >> getvalue.py | ||
| echo -e 'else:' >> getvalue.py | ||
| echo -e ' print("Finished llama2 test and warm latency/token within expected throuhold 7.57024 +- 5%")' >> getvalue.py | ||
| echo -e 'cat output.txt' >> llama2inference.sh | ||
| echo -e 'python3 llama/7B/getvalue.py' >> llama2inference.sh | ||
| cat llama2inference.sh | ||
| |||, | ||
| }, | ||
| }, | ||
| local hf = self.hf, | ||
| hf:: common.PyTorchTpuVmMixin { | ||
| modelName+: '-h-f', | ||
| tpuSettings+: { | ||
| tpuVmExtraSetup: ||| | ||
| pip3 uninstall torch torch_xla torchvision libtpu-nightly -y | ||
| sudo apt update -y | ||
| sudo apt-get update -y | ||
| pip install accelerate -U | ||
| sudo apt-get install libomp5 -y | ||
| pip3 install mkl mkl-include | ||
| pip3 install tf-nightly tb-nightly tbp-nightly | ||
| pip3 install numpy | ||
| sudo apt-get install numactl -y | ||
| sudo apt-get install libopenblas-dev -y | ||
| pip3 install https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch-nightly+20230821-cp310-cp310-linux_x86_64.whl | ||
| pip3 install https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-nightly+20230821-cp310-cp310-linux_x86_64.whl | ||
| pip3 install torch_xla[tpuvm] | ||
| # install tokenizer model | ||
| wget https://storage.googleapis.com/tpu-pytorch/lsiyuan-experiment/llama/spiece.model | ||
| # git clone and build llama | ||
| git clone --branch llama2-google-next-inference https://github.com/pytorch-tpu/llama.git | ||
| cd llama | ||
| pip3 install -r requirements.txt | ||
| pip3 install -e . | ||
| # git clone and build transformers ### llama/transformers/ | ||
| git clone -b lsiyuan/fsdp-data-aug https://github.com/pytorch-tpu/transformers.git | ||
| cd transformers | ||
| sudo pip3 uninstall transformers | ||
| sudo pip3 install -e . | ||
| pip3 install datasets | ||
| pip3 install evaluate | ||
| pip3 install scikit-learn | ||
| pip3 install accelerate | ||
| pwd | ||
| ls | ||
| # 7B config | ||
| mkdir 7B | ||
| cd 7B/ | ||
| wget https://storage.googleapis.com/tpu-pytorch/lsiyuan-experiment/configs/hf_llama/7B.json | ||
| # save llama2 training | ||
| echo -e 'python3 -u llama/transformers/examples/pytorch/xla_spawn.py --num_cores 64 llama/transformers/examples/pytorch/language-modeling/run_clm.py --num_train_epochs 2 --dataset_name wikitext --dataset_config_name wikitext-2-raw-v1 --per_device_train_batch_size 8 --do_train --output_dir . --overwrite_output_dir --config_name llama/transformers/7B/7B.json --cache_dir /tmp --tokenizer_name gpt2 --block_size 1024 --optim adafactor --adafactor true --save_strategy no --logging_strategy no' >> llama2training.sh | ||
| cat llama2training.sh | ||
| pwd | ||
| ls | ||
| |||, | ||
| }, | ||
| }, | ||
| local hff = self.hff, | ||
| hff:: common.PyTorchTpuVmMixin { | ||
| modelName+: '-hff', | ||
| tpuSettings+: { | ||
| tpuVmExtraSetup: ||| | ||
| # gsutil cp -r gs://tpu-pytorch/lsiyuan-experiment/configs/hf_llama /tmp/ | ||
| # install tokenizer model ### llama/llama2-fsdp/transformers/spiece.model | ||
| ## wget https://storage.googleapis.com/tpu-pytorch/lsiyuan-experiment/llama/spiece.model | ||
| ## pwd | ||
| ## ls | ||
| # 7B config ### llama/llama2-fsdp/transformers/7B/ | ||
| ## mkdir 7B | ||
| ## cd 7B/ | ||
| ## ## echo -e '{"dim": 4096, "multiple_of": 256, "n_heads": 32, "n_layers": 32, "norm_eps": 1e-05, "vocab_size": -1}' >> params.json | ||
| ## wget https://storage.googleapis.com/tpu-pytorch/lsiyuan-experiment/configs/hf_llama/7B.json | ||
| pwd | ||
| ls | ||
| # save llama2 training ### llama/llama2-fsdp/transformers/7B/llama2training.sh | ||
| ## echo -e 'export PJRT_DEVICE=TPU' >> llama2training.sh | ||
| ## echo -e 'export PT_XLA_DEBUG=0' >> llama2training.sh | ||
| ## echo -e 'export USE_TORCH=ON' >> llama2training.sh | ||
| ## echo -e 'export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/:$LD_LIBRARY_PATH' >> llama2training.sh | ||
| ## echo -e 'export PROFILE_LOGDIR=/tmp/llama-7b-bs-8' >> llama2training.sh | ||
| ## echo -e 'mkdir /tmp/test-clm-llama' >> llama2training.sh | ||
| echo -e 'python3 -u llama/llama2-fsdp/transformers/examples/pytorch/xla_spawn.py --num_cores 64 llama/llama2-fsdp/transformers/examples/pytorch/language-modeling/run_clm.py --num_train_epochs 2 --dataset_name wikitext --dataset_config_name wikitext-2-raw-v1 --per_device_train_batch_size 8 --do_train --output_dir /tmp/test-clm-llama --overwrite_output_dir --config_name llama/llama2-fsdp/transformers/7B/7B.json --cache_dir /tmp --tokenizer_name gpt2 --block_size 1024 --optim adafactor --adafactor true --save_strategy no --logging_strategy no' >> llama2training.sh | ||
| cat llama2training.sh | ||
| pwd | ||
| ls | ||
| |||, | ||
| }, | ||
| }, | ||
|
|
||
| local v4_8 = self.v4_8, | ||
| v4_8:: { | ||
| accelerator: tpus.v4_8, | ||
| }, | ||
|
|
||
| configs: [ | ||
| llama2_inference + v4_8 + common.Functional + timeouts.Hours(3) + pjrt, | ||
| llama2_training + v4_8 + common.Functional + timeouts.Hours(3) + hf, | ||
| ], | ||
| } |
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