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e0334f177c
* opset12 support * opset12 support * on comments Co-authored-by: Ethan Tao <ettao@microsoft.com>
60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
#!/usr/bin/env python3
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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import argparse
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import subprocess
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import sys
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import os
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from collections import namedtuple
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SCRIPT_DIR = os.path.realpath(os.path.dirname(__file__))
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def parse_args():
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parser = argparse.ArgumentParser(description="Runs GPT-2 performance tests.")
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parser.add_argument("--binary_dir", required=True,
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help="Path to the ORT binary directory.")
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parser.add_argument("--training_data_root", required=True,
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help="Path to the training data root directory.")
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parser.add_argument("--model_root", required=True,
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help="Path to the model root directory.")
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return parser.parse_args()
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# TODO - review to finalize params
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def main():
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args = parse_args()
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Config = namedtuple('Config', ['use_mixed_precision', 'max_seq_length', 'batch_size'])
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configs = [
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Config(True, 1024, 1),
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Config(False, 1024, 1)
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]
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# run GPT-2 training
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for c in configs:
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print("######## testing name - " + ('fp16-' if c.use_mixed_precision else 'fp32-') + str(c.max_seq_length) + " ##############")
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cmds = [
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os.path.join(args.binary_dir, "onnxruntime_training_gpt2"),
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"--model_name", os.path.join(
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args.model_root, "megatron-gpt2_hidden-size-1024_num-layers-24_vocab-size-50257_num-attention-heads-16_max-position-embeddings-1024_optimized_opset12"),
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"--train_data_dir", os.path.join(
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args.training_data_root, "train"),
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"--test_data_dir", os.path.join(
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args.training_data_root, "test"),
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"--train_batch_size", str(c.batch_size),
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"--mode", "train",
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"--max_seq_length", str(c.max_seq_length),
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"--num_train_steps", "640",
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"--gradient_accumulation_steps", "1",
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"--perf_output_dir", os.path.join(SCRIPT_DIR, "results"),
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]
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if c.use_mixed_precision:
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cmds.append("--use_mixed_precision"),
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subprocess.run(cmds).check_returncode()
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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