pytorch/caffe2
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
db 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
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
share Change ConvPoolOp<Context>::SetOutputSize to ConvPoolOp<Context>::GetOutputSize (#17764) 2019-03-07 18:38:53 -08:00
test
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
.clang-format
CMakeLists.txt caffe2 - Expose tensor filler util to Python (#18886) 2019-04-08 11:54:10 -07:00
README.md
release-notes.md
requirements.txt
VERSION_NUMBER

Caffe2

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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.

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