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pytorch/caffe2
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Dmytro Dzhulgakov 519c086418 Revert D24042344: [C2] Add string equality operator 
Test Plan: revert-hammer

Differential Revision:
D24042344 (cf48872d28)

Original commit changeset: c8997c6130e3

fbshipit-source-id: 3d8aec1104a2a59c67ab4b7e77caeaf9fc94ae1d
2020-10-05 15:09:03 -07:00
..
contrib Remove __future__ imports for legacy Python2 supports (#45033) 2020-09-23 17:57:02 -07:00
core Remove hacky_wrapper from BackendSelect kernels (#44062) 2020-09-25 09:04:03 -07:00
cuda_rtc
db
distributed [Distributed] DeleteKey API for c10d TCP Store (#45401) 2020-09-28 15:30:39 -07:00
experiments Remove __future__ imports for legacy Python2 supports (#45033) 2020-09-23 17:57:02 -07:00
ideep
image
mobile
mpi
observers
onnx
operators Revert D24042344: [C2] Add string equality operator 2020-10-05 15:09:03 -07:00
opt Add operator to compute the equalization scale (#45096) 2020-09-24 15:19:49 -07:00
perfkernels Remove __future__ imports for legacy Python2 supports (#45033) 2020-09-23 17:57:02 -07:00
predictor
proto Annotate torch.utils.(tensorboard/show_pickle/hypify) (#44216) 2020-09-29 18:14:26 -07:00
python Revert D24042344: [C2] Add string equality operator 2020-10-05 15:09:03 -07:00
quantization Adding Histogram Binning Calibration to DSNN and Adding Type Double to Caffe2 ParallelSumOp/SumReluOp 2020-09-28 15:21:31 -07:00
queue [caffe2] adds Cancel to SafeDequeueBlobsOp and SafeEnqueueBlobsOp (#45177) 2020-09-24 14:22:46 -07:00
serialize Enable TF32 support for cuDNN (#40737) 2020-09-01 15:34:24 -07:00
sgd [caffe2] Optimize Dedup version of RowWiseSparseAdagrad fused op by WarpReduce (#45649) 2020-10-02 14:28:24 -07:00
share
test
transforms
utils Fix BUILD_CAFFE2 if FBGEMM and NNPACK are not built (#45610) 2020-10-01 14:58:55 -07:00
video
.clang-format
__init__.py
c2_aten_srcs.bzl
CMakeLists.txt Enable TorchBind tests on ROCm (#45426) 2020-10-05 09:38:12 -07:00
README.md
release-notes.md
requirements.txt
VERSION_NUMBER

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