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Files

Jongsoo Park 1d522598fb use fp16<->fp32 intrinsic (#17496 )

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17496

As title.

Reviewed By: hyuen

Differential Revision: D14222907

fbshipit-source-id: d5d6c032e725ca8b52aca2be7401ec3c59f6a242

2019-03-07 02:23:07 -08:00

contrib

Replace caffe2::DeviceGuard with c10::cuda::CUDAGuard (#17623 )

2019-03-06 10:48:15 -08:00

core

Replace caffe2::DeviceGuard with c10::cuda::CUDAGuard (#17623 )

2019-03-06 10:48:15 -08:00

cuda_rtc

Apply modernize-use-override (2nd iteration)

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

Apply modernize-use-override (2nd iteration)

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

distributed

Add __init__.py so files get picked up on install (#14898 )

2018-12-07 13:40:23 -08:00

experiments

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

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

ideep

Apply modernize-use-override (4)

2019-02-25 08:31:27 -08:00

image

new embedding label type in image input op (#16835 )

2019-02-07 13:35:59 -08:00

mobile

Make C10_MOBILE consistent with how feature macros are usually used (#17481 )

2019-02-27 17:57:51 -08:00

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

Do not rename net boundary inputs/outputs during ssaRewrite. (#17545 )

2019-03-06 14:26:58 -08:00

operators

Implement a Caffe2 standalone LSTM operator (#17726 )

2019-03-07 01:08:49 -08:00

opt

Keep the dim_type of hinted shape as BATCH if possible (#17734 )

2019-03-06 19:58:35 -08:00

perfkernels

use fp16<->fp32 intrinsic (#17496 )

2019-03-07 02:23:07 -08:00

predictor

add command line option to use hive filler; add README (#17619 )

2019-03-01 13:56:15 -08:00

proto

PyTorch model metadata. (#16275 )

2019-02-13 19:48:11 -08:00

python

Implement a Caffe2 standalone LSTM operator (#17726 )

2019-03-07 01:08:49 -08:00

quantization

print warnings when DNNLOWP_16 or DNNLOWP_ROWWISE_16 engine is used (#17176 )

2019-03-04 14:28:42 -08:00

queue

Remaining Tensor API fixes - dims() -> sizes() (#15743 )

2019-01-15 18:42:02 -08:00

serialize

Add PyTorchPredictorContainer (#15899 )

2019-01-15 09:18:18 -08:00

sgd

Tensor reinitialization codemod - 5/5 (#15884 )

2019-01-10 16:32:26 -08:00

Make C10_MOBILE consistent with how feature macros are usually used (#17481 )

2019-02-27 17:57:51 -08:00

test

move flags to c10 (#12144 )

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

transforms

Windows shared build (#13550 )

2018-11-16 12:16:28 -08:00

utils

Fix math::Set for large tensor (#17539 )

2019-02-27 12:34:58 -08:00

video

Tensor reinitialization codemod - 5/5 (#15884 )

2019-01-10 16:32:26 -08:00

__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

Remove nomscheduler (#17693 )

2019-03-06 10:48:13 -08:00

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