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6 Commits

Author SHA1 Message Date
Peter Goldsborough
393ad6582d Use torch:: instead of at:: in all C++ APIs (#13523) 
Summary:
In TorchScript and C++ extensions we currently advocate a mix of `torch::` and `at::` namespace usage. In the C++ frontend I had instead exported all symbols from `at::` and some from `c10::` into the `torch::` namespace. This is far, far easier for users to understand, and also avoid bugs around creating tensors vs. variables. The same should from now on be true for the TorchScript C++ API (for running and loading models) and all C++ extensions.

Note that since we're just talking about typedefs, this change does not break any existing code.

Once this lands I will update stuff in `pytorch/tutorials` too.

zdevito ezyang gchanan
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13523

Differential Revision: D12942787

Pulled By: goldsborough

fbshipit-source-id: 76058936bd8707b33d9e5bbc2d0705fc3d820763
 2018-11-06 14:32:25 -08:00
Christian Puhrsch
a9e6a673ae Remove caffe2::Tensor::capacity_nbytes, at::Tensor::to##name##Data, (#11876) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11876

Modern C++ api instead of macros, item() is aligned with Python frontend. caffe2::Tensor::capacity_nbytes is effecitvely unused and confusing w.r.t. caffe2::Tensor::nbytes().

codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCByte   "item<uint8_t>"
codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCLong   "item<int64_t>"
codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCInt    "item<int32_t>"
codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCDouble "item<double>"
codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat  "item<float>"

codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toByteData   "data<uint8_t>"
codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toLongData   "data<int64_t>"
codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toIntData    "data<int32_t>"
codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toDoubleData "data<double>"
codemod -d caffe2           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toFloatData  "data<float>"

codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCByte   "item<uint8_t>"
codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCLong   "item<int64_t>"
codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCInt    "item<int32_t>"
codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCDouble "item<double>"
codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat  "item<float>"

codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toByteData   "data<uint8_t>"
codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toLongData   "data<int64_t>"
codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toIntData    "data<int32_t>"
codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toDoubleData "data<double>"
codemod -d hphp           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toFloatData  "data<float>"

codemod -d caffe2 --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCComplexDouble "item<std::complex<double>>"

codemod -d tc           --extensions cc,cpp,cu,cuh,h,py,hpp,mm toCFloat  "item<float>"

Reviewed By: ezyang

Differential Revision: D9948572

fbshipit-source-id: 70c9f5390d92b82c85fdd5f8a5aebca338ab413c
 2018-09-24 10:40:10 -07:00
Peter Goldsborough
825181ea9d Rewrite C++ API tests in gtest (#11953) 
Summary:
This PR is a large codemod to rewrite all C++ API tests with GoogleTest (gtest) instead of Catch.

You can largely trust me to have correctly code-modded the tests, so it's not required to review every of the 2000+ changed lines. However, additional things I changed were:

1. Moved the cmake parts for these tests into their own `CMakeLists.txt` under `test/cpp/api` and calling `add_subdirectory` from `torch/CMakeLists.txt`
2. Fixing DataParallel tests which weren't being compiled because `USE_CUDA` wasn't correctly being set at all.
3. Updated README

ezyang ebetica
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11953

Differential Revision: D9998883

Pulled By: goldsborough

fbshipit-source-id: affe3f320b0ca63e7e0019926a59076bb943db80
 2018-09-21 21:28:16 -07:00
Gregory Chanan
e00fb69b25 Use CATCH prefix to avoid name conflicts with Caffe2. 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/11780

Differential Revision: D9889925

Pulled By: gchanan

fbshipit-source-id: 5eca849c36ced00b8ae7482b7945b445a3e1687e
 2018-09-18 08:12:45 -07:00
David Riazati
6f53b4efea Remove implicit bool casts (#11503) 
Summary:
In order to comply with Python's rules on implicit casting of
non-booleans to booleans, this PR removes implicit casting in favor of
explicit casts via `bool()`

cc zdevito
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11503

Differential Revision: D9780869

Pulled By: driazati

fbshipit-source-id: c753acaca27f4e79dddf424c6b04674f44a6aad9
 2018-09-13 11:26:45 -07:00
David Riazati
fef52cc1f8 Add resolver for 'torch' module (#10847) 
Summary:
This lets you compile builtin functions from C++ without having a dependence on Python

```cpp
auto module = torch::jit::compile(JIT"(
def my_script_method(x, y):
    return torch.relu(x) + y
)");
IValue result = module->run_method("my_script_method", 1, 2);
```

goldsborough zdevito apaszke
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10847

Differential Revision: D9543461

Pulled By: driazati

fbshipit-source-id: 6160dae094030ca144a0df93cb9f26aa78c8cf27
 2018-09-06 12:42:21 -07:00