[distributions] Refactor _log_sum_exp#9173
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| self._validate_sample(value) | ||
| logits, value = broadcast_all(self.logits, value) | ||
| return -binary_cross_entropy_with_logits(logits, value, reduce=False) | ||
| return -binary_cross_entropy_with_logits(logits, value, reduction='none') |
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vishwakftw
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| def entropy(self): | ||
| return binary_cross_entropy_with_logits(self.logits, self.probs, reduce=False) | ||
| return binary_cross_entropy_with_logits(self.logits, self.probs, reduction='none') |
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vishwakftw
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Jul 4, 2018
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| def entropy(self): | ||
| return binary_cross_entropy_with_logits(self.logits, self.probs, reduce=False) / self.probs | ||
| return binary_cross_entropy_with_logits(self.logits, self.probs, reduction='none') / self.probs |
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apaszke
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Jul 6, 2018
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@pytorchbot test this please |
This reverts commit ceae2be.
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petrex
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Jul 16, 2018
* upstream/master: (24 commits) Implement tensor weak references (pytorch#9363) Nuke TestCollectEnv (pytorch#9459) Add test case for segmentation fault fix in grad_fn (pytorch#9457) Add peephole optimization for type_as operators. (pytorch#9316) Fix out-of-range error for test_neg (pytorch#9431) add depthwise conv support for mkldnn (pytorch#8782) Refactor `_log_sum_exp` (pytorch#9173) Add ModuleDict and ParameterDict containers (pytorch#8463) Introduce SupervisedPtr, delete THAllocator and THCDeviceAllocator (pytorch#9358) Introducing IsInf (pytorch#9169) add device to CUDAEvent (pytorch#9415) Make localScalar error message more intuitive (pytorch#9443) Only accept continguous tensors in TopK for cuda (pytorch#9441) Add support for .norm() pytorch onnx export and ReduceL1/ReduceL2 caffe2 operators (pytorch#9299) Only view() rhs of index_put if we need to (pytorch#9424) Add BatchBucketizeOp in caffe2 (pytorch#9385) Implementation of Wngrad optimizer caffe2 python wrapper and unit test on least square regression (pytorch#9001) Implementation and operator test for Wngrad optimizer (pytorch#8999) Fix segmentation fault in grad_fn (pytorch#9292) update docs (pytorch#9423) ...
goldsborough
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Jul 20, 2018
Summary: This PR removes `distributions.utils._log_sum_exp` in favor of `torch.logsumexp`. Also fixes some warnings with `reduce` arg. in `binary_cross_entropy_with_logits` Pull Request resolved: pytorch#9173 Reviewed By: SsnL Differential Revision: D8764174 Pulled By: ezyang fbshipit-source-id: b9c4136dbf0182e8ae77082e6448d23a430d5cb6
jramseyer
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Jul 30, 2018
Summary: This PR removes `distributions.utils._log_sum_exp` in favor of `torch.logsumexp`. Also fixes some warnings with `reduce` arg. in `binary_cross_entropy_with_logits` Pull Request resolved: pytorch#9173 Reviewed By: SsnL Differential Revision: D8764174 Pulled By: ezyang fbshipit-source-id: b9c4136dbf0182e8ae77082e6448d23a430d5cb6
goodlux
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Aug 15, 2018
Summary: This PR removes `distributions.utils._log_sum_exp` in favor of `torch.logsumexp`. Also fixes some warnings with `reduce` arg. in `binary_cross_entropy_with_logits` Pull Request resolved: pytorch#9173 Reviewed By: SsnL Differential Revision: D8764174 Pulled By: ezyang fbshipit-source-id: b9c4136dbf0182e8ae77082e6448d23a430d5cb6
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This PR removes
distributions.utils._log_sum_expin favor oftorch.logsumexp. Also fixes some warnings withreducearg. inbinary_cross_entropy_with_logits