Memory-Efficient Batch Processing with PyTorch
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ctx:claims/beam/77223ce4-1e82-4f34-b98d-2dd57fca1c0b- full textbeam-chunktext/plain1 KB
doc:beam/77223ce4-1e82-4f34-b98d-2dd57fca1c0bShow excerpt
results = pipeline.evaluate(input_data) # Get the current memory snapshot snapshot = tracemalloc.take_snapshot() # Print the top 10 memory-consuming lines top_stats = snapshot.statistics('lineno') print("[ Top 10 ]") for stat in top_stat…
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