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pytorch/caffe2
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Howard Huang dadbf43eff Fix asserts in tests (#72864) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/72864

Fixes #72860

Test Plan: Imported from OSS

Reviewed By: rohan-varma

Differential Revision: D34246987

Pulled By: H-Huang

fbshipit-source-id: 1ba47585533aff4cff9beec49bdc801f8320ffc8
(cherry picked from commit 03e45ceb890d72216950a9c3d5cd648b02e6a557)
2022-02-16 18:35:16 +00:00
..
contrib
core [warnings][Caffe2] Suppress warnings in non-c10 headers (#71370) 2022-01-17 10:09:31 -08:00
cuda_rtc
db
distributed
experiments
ideep
image Drop unused variables and add some const (#71106) 2022-01-11 12:38:59 -08:00
mobile
mpi
observers
onnx
operators [caffe2] allow dropout to take 1.0 as dropout ratio to zero-out a layer (#72741) 2022-02-15 19:14:46 +00:00
opt [DistributedInference] Relax the assertion for uniqueness of blob name across external inputs and outputs (#72492) 2022-02-09 21:50:47 +00:00
perfkernels use irange for loops (#70248) 2022-01-06 23:14:29 -08:00
predictor use irange for loops (#70248) 2022-01-06 23:14:29 -08:00
proto
python Fix asserts in tests (#72864) 2022-02-16 18:35:16 +00:00
quantization [caffe2/server quant] use new depthwise conv fbgemm interface (#71166) 2022-01-12 15:29:07 -08:00
queue use irange for loops (#70248) 2022-01-06 23:14:29 -08:00
serialize [PyTorchEdge] backport v8 to v7 to support promoted ops as instruction (#71662) 2022-02-15 03:47:39 +00:00
sgd Fix unused variable warnings (#72410) 2022-02-07 18:25:29 +00:00
share
test
transforms
utils Drop unused variables and add some const (#71106) 2022-01-11 12:38:59 -08:00
video
.clang-format
__init__.py
c2_aten_srcs.bzl
CMakeLists.txt CMake: Limit python include directories to only python libraries (#69085) 2022-02-07 21:18:32 +00:00
README.md
release-notes.md
requirements.txt
unexported_symbols.lds
VERSION_NUMBER
version_script.lds

README.md

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.

Questions and Feedback

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

Further Resources on Caffe2.ai