[jit] dropout symbolic_script should respect the training flag#20760
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suo wants to merge 6 commits intogh/suo/41/basefrom
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[jit] dropout symbolic_script should respect the training flag#20760suo wants to merge 6 commits intogh/suo/41/basefrom
suo wants to merge 6 commits intogh/suo/41/basefrom
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…flag" [jit] dropout symbolic_script should respect the training flag as title gh-metadata: pytorch pytorch 20760 gh/suo/41/head
…flag" [jit] dropout symbolic_script should respect the training flag as title gh-metadata: pytorch pytorch 20760 gh/suo/41/head
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is it possible to add a test to prevent regression in the future? |
zdevito
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May 21, 2019
torch/csrc/jit/symbolic_script.cpp
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| res = mask * input / p1m | ||
| p1m = 1. | ||
| res = input | ||
| mask = torch.zeros(0) |
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The definition of backwards when is_training = False is not correct.
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oops this got merged out somehow
…flag" [jit] dropout symbolic_script should respect the training flag as title gh-metadata: pytorch pytorch 20760 gh/suo/41/head
zdevito
approved these changes
May 21, 2019
…flag" [jit] dropout symbolic_script should respect the training flag as title. This unfortunately means that the forward for dropout doesn't fuse completely anymore, but the "important" parts are fused, and all we're adding is the is_training check overhead. The only time we're doing "extra" stuff is if we 1) require_grad and 2) are not training, which seems like uncommon things. gh-metadata: pytorch pytorch 20760 gh/suo/41/head
…flag" [jit] dropout symbolic_script should respect the training flag as title. This unfortunately means that the forward for dropout doesn't fuse completely anymore, but the "important" parts are fused, and all we're adding is the is_training check overhead. The only time we're doing "extra" stuff is if we 1) require_grad and 2) are not training, which seems like uncommon things. gh-metadata: pytorch pytorch 20760 gh/suo/41/head
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Stack from ghstack:
as title
Differential Revision: D15486511