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12 Commits

Author SHA1 Message Date
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
Thomas Viehmann
581099a7b2 pybind conversion for IntList (#11425) 
Summary:
as discussed with ezyang and slayton58 , this might be a nice convenience to be able to use code in extensions just as in ATen.

also split off `tracing_state.h` from `torch/jit/tracer.h` fix #11204 to bee able to use the utility functions

pytorchbot  it's not a jit patch per se.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11425

Differential Revision: D9735556

Pulled By: ezyang

fbshipit-source-id: 466c92bbdb1d7d7a970eba1c26b7583fe9756139
 2018-09-09 10:39:40 -07:00
Peter Goldsborough
64d5b1454e
Add is_variable tag to Tensor (#8414) 
* Add is_variable tag to Tensor

* Add is_variable tag to Type
 2018-06-13 18:14:29 -07:00
Peter Goldsborough
2e023a29e4
Add optional support to C++ extensions (#7055) 2018-04-28 01:59:50 +01:00
Zachary DeVito
d985cf46f1
Add workaround to fix include warnings in Python 2 builds. (#6716) 2018-04-24 12:30:19 -07:00
Adam Paszke
b239b123e4
Clean up TraceInput (#5743) 2018-03-15 19:38:33 +01:00
Peter Goldsborough
7391dae709 Fix Variable conversion on the way to/from Python (#5581) 
* PyObject* <--> at::Tensor no longer unwraps variables, instead we expect end uses to always work with variable types, and we will only unwrap the variables when we optimize.
* Add torch::CPU, torch::CUDA and torch::getType
* at::CPU -> torch::CPU in extensions
 2018-03-09 14:31:05 -08:00
Sam Gross
30ec06c140
Merge Variable and Tensor classes (#5225) 
This replaces the torch.Tensor constructors with factories that produce
Variables. Similarly, functions on the torch module (e.g. torch.randn)
now return Variables.

To keep the PR to a reasonable size, I've left most of the unused tensor
code. Subsequent PRs will remove the dead code, clean-up calls to
torch.autograd.Variable, and rename Variable to Tensor everywhere.

There are some breaking changes because Variable and Tensors had
slightly different semantics. There's a list of those changes here:

 https://github.com/pytorch/pytorch/wiki/Breaking-Changes-from-Variable-and-Tensor-merge
 2018-02-23 18:03:31 -05:00
Sam Gross
b6eb7d7ba0
Allow Python Variables to be bound to at::Tensor in pybind11 converter (#4730) 
This allows _broadcast and _broadcast_coalesced to be called on
Variables. It also broadens the types accepted by some JIT methods.
 2018-01-19 10:57:43 -05:00
houseroad
6855d24ff1 Move pybind11 type_caster to different pybind.h in the corresponding folders. (#222) 2017-09-19 10:53:32 -04:00
Edward Z. Yang
3b478c17a0 JIT backward closure comments / Render stage changes in inputs. 
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
 2017-09-05 17:48:55 -04:00
Adam Paszke
594f98ce16 Support multi-stage AutogradClosures 2017-09-05 17:48:55 -04:00