mirror of https://github.com/pytorch/pytorch.git synced 2025-11-02 14:34:54 +08:00

Files

Chandler Zuo 472be69a73 Avoid Output Uninitialized Blobs in Load with load_all=1 (#19133 )

Summary:
When output blob names are specified while load_all=1, output blob names are ignored. However, this behavior is not documented. In this diff, we just disallow users to provide blob names when load_all=1.

See discussion at https://fb.workplace.com/groups/1405155842844877/permalink/2714909788536136/
Pull Request resolved: https://github.com/pytorch/pytorch/pull/19133

Reviewed By: dzhulgakov

Differential Revision: D14883698

Pulled By: chandlerzuo

fbshipit-source-id: 6e4171e36c4ccc4f857e79da98b858a06b7d8ad6

2019-04-27 10:45:44 -07:00

contrib

Fix aten op output assignment (#18581 )

2019-04-09 21:39:12 -07:00

core

Add elementwise_affine for layer_norm_op (#19713 )

2019-04-26 17:20:01 -07:00

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

Open registration for c10 thread pool (#17788 )

2019-03-08 15:38:41 -08:00

mobile

Remove ComputeLibrary submodule

2019-03-16 09:06:42 -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

Add if ops support for onnxifi and ssa-rewrite (#19585 )

2019-04-24 11:01:13 -07:00

operators

Avoid Output Uninitialized Blobs in Load with load_all=1 (#19133 )

2019-04-27 10:45:44 -07:00

opt

More topi support (#19728 )

2019-04-26 00:53:11 -07:00

perfkernels

Improve embedding_bag add kernel (#19329 )

2019-04-19 19:16:24 -07:00

predictor

caffe2 - Expose tensor filler util to Python (#18886 )

2019-04-08 11:54:10 -07:00

proto

use fully qualified name for ScriptClasses (#19239 )

2019-04-26 19:17:21 -07:00

python

Avoid Output Uninitialized Blobs in Load with load_all=1 (#19133 )

2019-04-27 10:45:44 -07:00

quantization

Fix the depthwise 3x3x3 fast path criteria for the stride (#19692 )

2019-04-24 21:35:27 -07:00

queue

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

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

serialize

Add PyTorchPredictorContainer (#15899 )

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

sgd

Optimize MomentumSGDUpdate maximum block size and make it templated

2019-03-22 09:54:25 -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

Add elementwise_affine for layer_norm_op (#19713 )

2019-04-26 17:20:01 -07:00

video

Open registration for c10 thread pool (#17788 )

2019-03-08 15:38:41 -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

caffe2 - Expose tensor filler util to Python (#18886 )

2019-04-08 11:54:10 -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