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Files

Junjie Bai a682ce9144 Add back HIP support to async net (#13400 )

Summary:
We lost HIP support in last refactoring 620ece2668
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13400

Differential Revision: D12868211

Pulled By: bddppq

fbshipit-source-id: 72dbfda105b826bee28ddf480e88fca7d63f93d8

2018-10-31 17:52:36 -07:00

contrib

Renaming dim() to size() - 1/3 (#13434 )

2018-10-31 17:43:52 -07:00

core

Add back HIP support to async net (#13400 )

2018-10-31 17:52:36 -07:00

cuda_rtc

Renaming size() to numel() - 1/17

2018-10-26 15:36:59 -07:00

Guard all Caffe2 protobuf string serializations with CAFFE_ENFORCE (fixed reverted bug) (#12848 )

2018-10-23 16:21:26 -07:00

distributed

Move exception to C10 (#12354 )

2018-10-15 13:33:18 -07:00

experiments

Renaming dim() to size() - 1/3 (#13434 )

2018-10-31 17:43:52 -07:00

ideep

Renaming size() to numel() - 1/6

2018-10-29 11:11:19 -07:00

image

Remove calls to CopyFrom that can be sync (#13205 )

2018-10-29 13:57:42 -07:00

mobile

Remove Tensor(const Tensor&, BaseContext*, type)

2018-10-29 13:57:43 -07:00

mpi

Renaming size() to numel() - 1/6

2018-10-29 11:11:19 -07:00

observers

Rename cuda_gpu_id to device_id in DeviceOption (#12456 )

2018-10-09 15:54:04 -07:00

onnx

Add randn in onnx symbolic (#12880 )

2018-10-25 14:11:23 -07:00

operators

Renaming meta() to dtype() - 1/2 (#13333 )

2018-10-31 17:14:08 -07:00

opt

Renaming size() to numel() - 1/2

2018-10-29 18:01:01 -07:00

perfkernels

set up c10 scaffolding. Move macros proper first.

2018-09-24 11:09:59 -07:00

predictor

Renaming size() to numel() - 1/2

2018-10-29 18:01:01 -07:00

proto

reduce Device to 32bits (#12767 )

2018-10-26 09:27:11 -07:00

python

Revert D10861211: Convert Arguments to dictionary

2018-10-31 12:38:43 -07:00

queue

Renaming meta() to dtype() - 2/2 (#13334 )

2018-10-30 18:24:30 -07:00

serialize

Compute the offset to make sure the order in InlineContainer test

2018-10-26 21:32:25 -07:00

sgd

Renaming meta() to dtype() - 2/2 (#13334 )

2018-10-30 18:24:30 -07:00

Renaming meta() to dtype() - 2/2 (#13334 )

2018-10-30 18:24:30 -07:00

test

move flags to c10 (#12144 )

2018-10-04 02:09:56 -07:00

transforms

caffe2::DeviceType -> at::DeviceType (#11254 )

2018-09-05 16:28:09 -07:00

utils

Add back HIP support to async net (#13400 )

2018-10-31 17:52:36 -07:00

video

Remove calls to CopyFrom that can be sync (#13205 )

2018-10-29 13:57:42 -07:00

__init__.py

Experimental support for setup.py develop mode install

2018-02-12 23:36:18 -08:00

.clang-format

Add clang-format style file to caffe2

2018-02-05 20:35:18 -08:00

CMakeLists.txt

Improve inline container and add some test (#12993 )

2018-10-26 12:06:47 -07:00

README.md

Fix issues link in Caffe2 readme (#10711 )

2018-08-20 16:55:11 -07:00

release-notes.md

Cleanup of the shipit commit (#8956 )

2018-06-27 14:41:59 -07:00

requirements.txt

Add typing into caffe2 requirements.txt for USE_ATEN (#10047 )

2018-07-30 20:09:21 -07:00

VERSION_NUMBER

move flags to c10 (#12144 )

2018-10-04 02:09:56 -07:00

README.md

Caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.

Questions and Feedback

Please use Github issues (https://github.com/pytorch/pytorch/issues) to ask questions, report bugs, and request new features.

README.md

Caffe2

Questions and Feedback

Further Resources on Caffe2.ai