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https://github.com/hpcaitech/ColossalAI.git
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[misc] update pre-commit and run all files (#4752)
* [misc] update pre-commit * [misc] run pre-commit * [misc] remove useless configuration files * [misc] ignore cuda for clang-format
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@@ -112,8 +112,9 @@ def benchmark(
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start_time = time()
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for epoch in range(epoch_num):
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with tqdm(dataloader, desc=f'Epoch [{epoch + 1}/{epoch_num}]',
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disable=not DistCoordinator().is_master()) as pbar:
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with tqdm(
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dataloader, desc=f"Epoch [{epoch + 1}/{epoch_num}]", disable=not DistCoordinator().is_master()
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) as pbar:
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for data in pbar:
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inputs, labels = data[0].cuda(), data[1].cuda()
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outputs = model(inputs, labels=labels)
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@@ -137,7 +138,9 @@ def benchmark(
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}
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logger.info(fmt({f"Memory results (batch_size={batch_size})": memory[f"batch_size_{batch_size}"]}))
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throughput[f"batch_size_{batch_size}"] = {"throughput:": "{:.1f}".format(all_sample * DistCoordinator().world_size / (end_time - start_time))}
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throughput[f"batch_size_{batch_size}"] = {
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"throughput:": "{:.1f}".format(all_sample * DistCoordinator().world_size / (end_time - start_time))
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}
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logger.info(fmt({f"Throughput results (batch_size={batch_size})": throughput[f"batch_size_{batch_size}"]}))
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results["throughput"] = throughput
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