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Update the profiler_recipe tutorial #3386

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Update the profiler_recipe tutorial #3386

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31a7205
add links
krishnakalyan3 Jun 7, 2025
d41c61a
add memory_timeline
krishnakalyan3 Jun 7, 2025
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12 changes: 12 additions & 0 deletions recipes_source/recipes/profiler_recipe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,7 @@
# 5. Using tracing functionality
# 6. Examining stack traces
# 7. Using profiler to analyze long-running jobs
# 8. Memory Timeline Visualization
#
# 1. Import all necessary libraries
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Expand Down Expand Up @@ -453,6 +454,16 @@ def trace_handler(p):
model(inputs)
p.step()

######################################################################
# Memory Timeline Visualization
with profile(activities=[ProfilerActivity.CPU],
profile_memory=True, record_shapes=True, with_stack=True) as prof:
model(inputs)

# Add the memory timeline export right after:
prof.export_memory_timeline("memory_timeline.html")


######################################################################
# Learn More
# ----------
Expand All @@ -461,4 +472,5 @@ def trace_handler(p):
#
# - `PyTorch Benchmark <https://pytorch.org/tutorials/recipes/recipes/benchmark.html>`_
# - `Visualizing models, data, and training with TensorBoard <https://pytorch.org/tutorials/intermediate/tensorboard_tutorial.html>`_ tutorial
# - `Understanding GPU Memory 1: Visualizing All Allocations over Time <https://pytorch.org/blog/understanding-gpu-memory-1/>`
#