pytorch/caffe2
Kevin Wilfong cddda17394 ParallelWorkersTest.testParallelWorkersInitFun is flaky (#29045)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/29045

Addressing an issue seen in GitHub https://github.com/pytorch/pytorch/issues/28958

It seems sometimes the workers in this test don't stop cleanly.  The purpose of this test is to check that the init_fun in init_workers works as expected, which is captured by the assertEqual in the for loop in the test.  The behavior of stop() is not really important here.

The fact it's returning false is probably indicative that a worker is getting blocked but that doesn't affect the correctness of the test.

Test Plan: Ran the test 100 times, it consistently succeeds.

Reviewed By: akyrola

Differential Revision: D18273064

fbshipit-source-id: 5fdff8cf80ec7ba04acf4666a3116e081d96ffec
2019-11-01 13:59:02 -07:00
..
contrib #26426 fixed (#28715) 2019-11-01 12:53:01 -07:00
core Support Offline Tensors through ONNXIFI layer 2019-10-31 10:33:42 -07:00
cuda_rtc
db
distributed
experiments
ideep Build torch.distributed with Gloo backend on macOS (#25260) 2019-09-05 07:09:50 -07:00
image
mobile
mpi
observers
onnx Support Offline Tensors through ONNXIFI layer 2019-10-31 10:33:42 -07:00
operators Pow() : Use lightweight operations for predefined scalar exponent values (#28903) 2019-10-31 05:39:39 -07:00
opt Support Offline Tensors through ONNXIFI layer 2019-10-31 10:33:42 -07:00
perfkernels Back out "Revert D17826873: Adding support to offsets based Fused8BitRowwiseEmbeddingLookup" (#27728) 2019-10-10 23:52:43 -07:00
predictor BlackBoxPredictor OSS part N + 1 : strip fb/predictor/Transforms.h dependency (#23350) (#23350) 2019-08-22 17:11:00 -07:00
proto adding OpProfile proto into ProfDAGProtos to support storing operation cost (#26677) 2019-09-23 20:44:15 -07:00
python ParallelWorkersTest.testParallelWorkersInitFun is flaky (#29045) 2019-11-01 13:59:02 -07:00
quantization Support Offline Tensors through ONNXIFI layer 2019-10-31 10:33:42 -07:00
queue
serialize String optimizations related to serialization. (#28230) 2019-10-18 07:39:30 -07:00
sgd fix composite learning rate (#26227) 2019-09-18 17:34:17 -07:00
share
test
transforms
utils Remove LOG(INFO) from math_cpu.cc (#27001) 2019-09-27 16:37:49 -07:00
video OpenCV 4 compatibility fix for caffe2/video (#24143) 2019-08-10 14:50:20 -07:00
.clang-format
__init__.py
c2_aten_srcs.bzl Remove Tensor.h, TensorMethods.h from src/core. (#27086) 2019-10-06 09:37:50 -07:00
CMakeLists.txt Remove the linkage to CUDA libraries when ROCM is used. (#29009) 2019-11-01 11:18:21 -07:00
README.md
release-notes.md
requirements.txt Add requests as a legit dependency (#25596) 2019-09-04 17:43:37 -07:00
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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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