Broadcast output requires_grad only if corresponding input requires_grad#5061
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soumith merged 1 commit intopytorch:masterfrom Feb 6, 2018
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Broadcast output requires_grad only if corresponding input requires_grad#5061soumith merged 1 commit intopytorch:masterfrom
soumith merged 1 commit intopytorch:masterfrom
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soumith
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apaszke
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| .. warning:: | ||
| Forward and backwrad hooks defined on :attr:`module` and its submodules | ||
| won't be invoked anymore, unless the hooks are initialized in the | ||
| :meth:`forward` method. |
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| if not input_requires_grad: | ||
| for output in outputs: | ||
| non_differentiables.append(output[idx]) | ||
| ctx.mark_non_differentiable(*non_differentiables) |
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This avoids unnecessary computation when finetuning only certain layers with DataParallel.
Fixes #5041 .