Move workspace memory-allocation to PyTorch#661
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RezaYazdaniAminabadi merged 5 commits intomasterfrom Jan 13, 2021
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RezaYazdaniAminabadi
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ShadenSmith,
arashashari,
awan-10,
cli99,
conglongli,
eltonzheng,
jeffra,
minjiaz,
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samyam and
tjruwase
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eltonzheng
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Jan 12, 2021
csrc/includes/context.h
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| } | ||
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| void GenWorkSpace(size_t size) | ||
| void GenWorkSpace(void* workspace) // (size_t size) |
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Rename it to SetWorkSpace()?
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Thanks Elton, will do! :)
csrc/includes/context.h
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| } | ||
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| _workSpaceSize = size; | ||
| _workSpaceSize = size;*/ |
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_workSpaceSize can be deleted from context class?
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yes agreed!
csrc/includes/context.h
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| if (!_workspace) { | ||
| if (!workspace) { throw std::runtime_error("Workspace is null."); } | ||
| _workspace = workspace; | ||
| /*if (!_workspace) { |
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remove those commented code if they are useless.
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I have just commented them to verify that this new way is working properly, after some tests I will remove the comments
| _training, | ||
| _gelu_checkpoint)); | ||
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| // Context::Instance().GenWorkSpace(get_workspace_size<T>(_batch_size, |
| layer->GetNumHeads(), | ||
| layer->IsTrainingMode(), | ||
| layer->GeluCheckpoint())}, | ||
| options); |
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can we use g_output.options() here instead of creating a new option?
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good point 👍
conglongli
approved these changes
Jan 12, 2021
eltonzheng
approved these changes
Jan 13, 2021
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