mirror of https://github.com/pytorch/pytorch.git synced 2025-10-20 21:14:14 +08:00

Files

Karl Ostmo 0bfc0eeef7 restore hidden visibility by default for Linux builds (#20461 )

Summary:
Symbols are given hidden visibility by default on Linux to emulate the behavior on Windows.  This helps developers catch visibility issues in their streamlined Linux dev environment before being surprised, late in the process, by Windows errors.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/20461

Reviewed By: kostmo

Differential Revision: D15410410

Pulled By: dzhulgakov

fbshipit-source-id: 1d684b5a9a80b692966a775c3f1c56b7c72ffc95

2019-05-20 16:49:37 -07:00

contrib

Enable ROCm multi-gpu with Gloo

2019-05-07 09:55:47 -07:00

core

Re-sync with internal repository (#20702 )

2019-05-20 09:22:57 -04:00

cuda_rtc

Change ConvPoolOp<Context>::SetOutputSize to ConvPoolOp<Context>::GetOutputSize (#17764 )

2019-03-07 18:38:53 -08:00

Apply modernize-use-override (2nd iteration)

2019-02-14 16:52:57 -08:00

distributed

Manual hipify caffe2/distributed and rocm update (no hcc modules support) (#18088 )

2019-03-29 11:07:32 -07:00

experiments

Tensor construction codemod(ResizeLike) - 1/7 (#15073 )

2018-12-19 21:38:48 -08:00

ideep

Remove useless input shape checker in conv (#19608 )

2019-04-24 11:39:43 -07:00

image

Clang-format ImageInputOp (#20441 )

2019-05-16 23:00:09 -07:00

mobile

update legacy plus one for mpscnn

2019-05-16 18:17:18 -07:00

mpi

Tensor construction codemod(ResizeLike) - 3/7 (#15122 )

2018-12-14 02:08:37 -08:00

observers

Remove GPU dependency from ProfileObserver (#17592 )

2019-03-04 10:00:46 -08:00

onnx

Export randn_like in ONNX exporter (#20093 )

2019-05-06 14:54:46 -07:00

operators

De-deprecate old list and dict APIs (#20709 )

2019-05-20 13:53:00 -07:00

opt

Change onnxifi workflow to support multi-group quantized & Add multi quantization info to caffe2.proto (#20439 )

2019-05-15 19:24:08 -07:00

perfkernels

eliminate FE_INVALID exceptions related to fp16 conversion (#20390 )

2019-05-13 23:42:01 -07:00

predictor

Removing cyclic dependency (#20511 )

2019-05-14 18:55:19 -07:00

proto

Add support for __getstate__/__setstate__ on module (#20242 )

2019-05-17 14:43:14 -07:00

python

Re-sync with internal repository (#20702 )

2019-05-20 09:22:57 -04:00

quantization

eliminate FE_INVALID exceptions related to fp16 conversion (#20390 )

2019-05-13 23:42:01 -07:00

queue

Revert "Tensor construction codemod(raw_mutable_data) (#16373 )" (#18680 )

2019-04-01 14:39:13 -07:00

serialize

Add the support of feature store example in pytorch model in fblearner (#20040 )

2019-05-20 12:58:27 -07:00

sgd

shape inference for learning rate op (#20020 )

2019-05-14 23:34:32 -07:00

Change ConvPoolOp<Context>::SetOutputSize to ConvPoolOp<Context>::GetOutputSize (#17764 )

2019-03-07 18:38:53 -08:00

test

move flags to c10 (#12144 )

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

transforms

fix -Wsign-compare warnings for some files inside c2 (#18123 )

2019-03-19 10:39:20 -07:00

utils

Remove unused var (ws_) and use vars in undefined case for compile (#20667 )

2019-05-20 13:52:57 -07:00

video

codemode change missing [from D13586737]

2019-05-13 20:44:04 -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

restore hidden visibility by default for Linux builds (#20461 )

2019-05-20 16:49:37 -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