TH Compatibility: write nDimension/_nDimension corresponding to dim()/_d… #8676
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…im(). Currently, THTensor_(nDimension) goes to _dim(), which makes it difficult to move individual usages over to the new API. Instead, let's create a THTensor_(_nDimension) going to _dim() and THTensor_(nDimension) going to _dim(). To do this, we will redirect all current calls and move them over as we did for _dim() and dim().
gchanan
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apaszke,
colesbury,
ezyang,
soumith and
zdevito
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ezyang
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Jun 20, 2018
petrex
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* upstream/master: (92 commits) more formatting (pytorch#8701) Fix pytorch#8692 (pytorch#8699) Create captured inputs recursively for loop to resolve loop-carried dependencies across nested blocks (pytorch#8345) Shard test_nn to reduce runtime for each test target (pytorch#8678) Create at::tensor (pytorch#8475) Clarify mp note about sharing a tensor's grad field. (pytorch#8688) Add owner rule for cpp_extension.py (pytorch#8700) fix formatting in :math: in fold docstring (pytorch#8696) Some 0-sized dimension support, port catArray away from resizeLegacy. (pytorch#8666) Implement flatten function (pytorch#8578) Created Tensor::to functions (pytorch#8643) Add a warning in gradcheck if inputs precision < float64 (pytorch#8663) Fix parsing of floating point defaults in python_arg_parser (pytorch#8681) Export ProcessGroupGloo options to Python (pytorch#8664) Fix build error in pybind_state_ideep (pytorch#8684) Compatibility: write nDimension/_nDimension corresponding to dim()/_dim(). (pytorch#8676) Improve win-build.sh for local build (pytorch#8674) don't do unnecessary copies for bernoulli_ (pytorch#8682) Use parallel if get_num_threads 0 (pytorch#8677) Fix serialization for Parameters (pytorch#8633) ...
petrex
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Jun 21, 2018
…im(). (pytorch#8676) Currently, THTensor_(nDimension) goes to _dim(), which makes it difficult to move individual usages over to the new API. Instead, let's create a THTensor_(_nDimension) going to _dim() and THTensor_(nDimension) going to _dim(). To do this, we will redirect all current calls and move them over as we did for _dim() and dim().
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…im().
Currently, THTensor_(nDimension) goes to dim(), which makes it difficult to move individual usages over to the new API.
Instead, let's create a THTensor(_nDimension) going to dim() and THTensor(nDimension) going to _dim(). To do this, we will redirect all current
calls and move them over as we did for _dim() and dim().