update docs #9423
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update docs #9423
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LiyuanLucasLiu
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Jul 13, 2018
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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) ...
jramseyer
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Jul 30, 2018
Summary: minor modification: fixed the incorrect comment format for ```split_size_or_sections``` (https://pytorch.org/docs/master/torch.html#torch.split) Pull Request resolved: pytorch#9423 Differential Revision: D8841367 Pulled By: soumith fbshipit-source-id: 2d09a38ce8d278ac29b3864e8d09a91cd296196c
goodlux
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Aug 15, 2018
Summary: minor modification: fixed the incorrect comment format for ```split_size_or_sections``` (https://pytorch.org/docs/master/torch.html#torch.split) Pull Request resolved: pytorch#9423 Differential Revision: D8841367 Pulled By: soumith fbshipit-source-id: 2d09a38ce8d278ac29b3864e8d09a91cd296196c
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minor modification: fixed the incorrect comment format for
split_size_or_sections(https://pytorch.org/docs/master/torch.html#torch.split)