Implement 2D and 3D alpha_dropout#9073
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soumith
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Jul 1, 2018
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please add tests in test_nn.py for the 2d and 3d variants.
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+1 for not going with |
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agree, let's not introduce |
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Names are now corrected (existing droput*d names are untouched). Tests also seem OK. |
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Jul 14, 2018
torch/nn/_functions/dropout.py
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| b = ctx.noise | ||
| else: | ||
| ctx.noise.bernoulli_(1 - ctx.p) | ||
| a = ((3.09091329228798008 * ctx.p + 1) * (1 - ctx.p)) ** (-0.5) |
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math checks out |
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ezyang
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Jul 17, 2018
jramseyer
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Jul 30, 2018
Summary: It implements per-channel alpha_dropout. It also creates corresponding function classes and unifies the process of dropout and alpha_dropout. Pull Request resolved: pytorch#9073 Differential Revision: D8727008 Pulled By: ezyang fbshipit-source-id: 9d509f9c5db4e98f7b698cdfc4443505a4d2b331
goodlux
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Aug 15, 2018
Summary: It implements per-channel alpha_dropout. It also creates corresponding function classes and unifies the process of dropout and alpha_dropout. Pull Request resolved: pytorch#9073 Differential Revision: D8727008 Pulled By: ezyang fbshipit-source-id: 9d509f9c5db4e98f7b698cdfc4443505a4d2b331
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It implements per-channel alpha_dropout. It also creates corresponding function classes and unifies the process of dropout and alpha_dropout.