[distributions] Implement Power transform #5976
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1. Only taking care of numbers.Number instances for now
apaszke
approved these changes
Mar 24, 2018
torch/distributions/transforms.py
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| def __init__(self, exponent, cache_size=0): | ||
| super(PowerTransform, self).__init__(cache_size=cache_size) | ||
| self.exponent = broadcast_all(exponent)[0] |
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sighingnow
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Mar 25, 2018
* upstream/master: (663 commits) Fix "command not found" error in perf test (pytorch#5982) add pip mkl-devel to the error message when mkl is found but mkl headers are not (pytorch#5984) Support batch LowerCholeskyTransform (pytorch#5980) Linearly interpolating upsampling fix (pytorch#5927) Store perf numbers in S3 (pytorch#5951) Modidy setup docs for Windows (pytorch#5981) Group Normalization (pytorch#5968) [distributions] Implement Power transform (pytorch#5976) Disable TestBottleneck test_cuda on Windows (pytorch#5977) Fix crash when cat-ing empty cuda tensors (pytorch#5971) Update no_unions flag for nanopb gen and update ONNX proto files (pytorch#5972) Expose gradients w.r.t. input & weight for conv1d, conv2d, conv3d in Python (pytorch#5408) Fixed non-determinate preprocessing on DataLoader (pytorch#4640) add AVX2 implementation for sigmoid function (pytorch#5010) Implement torch.util.bottleneck (pytorch#5216) Remove pragma once from cpp file (pytorch#5965) fix mvn docs (pytorch#5967) Fix incorrect rendering of Tensor.index_*_ doc examples. (pytorch#5969) Implement range for loop in script (pytorch#5827) Add windows doc (pytorch#5859) ... # Conflicts: # aten/src/TH/generic/THTensorMath.c # torch/_tensor_docs.py # torch/csrc/generic/methods/TensorCompare.cwrap
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This PR implements the Power Transform for distributions. Tests have also been modified accordingly.
Use cases of the Power Transform would be in the implementation of the Kumaraswamy distribution.
Math checked and approved by @fritzo .
cc: @apaszke