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use case: inductor collects this info, and it would be great if we get this in the chrome traces since we already collect it.
proposal: start off just collecting string and integer inputs.
Here is where we use the non-kwarg inputs in profiler:
pytorch/torch/csrc/profiler/collection.cpp
Line 316 in be0eec9
I think this is where we put random metadata into kineto:
pytorch/torch/csrc/autograd/profiler_kineto.cpp
Line 248 in be0eec9
it would be great if we can shove an arbitrary string->string dict into the op_event and then put it into the metadata in the profiler_kineto.cpp code
cc @robieta @chaekit @aaronenyeshi @guotuofeng @guyang3532 @dzhulgakov @briancoutinho @sraikund16 @sanrise @Chillee
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The text was updated successfully, but these errors were encountered:
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馃殌 The feature, motivation and pitch
use case: inductor collects this info, and it would be great if we get this in the chrome traces since we already collect it.
proposal: start off just collecting string and integer inputs.
Here is where we use the non-kwarg inputs in profiler:
pytorch/torch/csrc/profiler/collection.cpp
Line 316 in be0eec9
I think this is where we put random metadata into kineto:
pytorch/torch/csrc/autograd/profiler_kineto.cpp
Line 248 in be0eec9
it would be great if we can shove an arbitrary string->string dict into the op_event and then put it into the metadata in the profiler_kineto.cpp code
cc @robieta @chaekit @aaronenyeshi @guotuofeng @guyang3532 @dzhulgakov @briancoutinho @sraikund16 @sanrise @Chillee
Alternatives
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The text was updated successfully, but these errors were encountered: