GitLab

* added correctness tests for classification models
* refactored tests for extensibility & usability
* flake8 fixes

* Try fix Windows CircleCI

* Try conda init first

* Use newer orb

* Switch to push-based nightlies.

See https://github.com/pytorch/pytorch/issues/26817

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* disable merge
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* fixup
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* vflip and hflip tensor

* vflip and hflip tensor

* changes made

* lint

* lint

* lint failing

* added PSRoiAlign and PSRoiPool with C++ autograd and torch ops

* fixed linter errors

* fixed linter errors 2

* fixed linter errors 3

* Use PyTorch 1.3 for CI

* Try fixing TravisCI

* Revert rebase to master to old state

* Try pinning lastest anaconda that was working, there was a new package out yesterday that might have breaken up things

* Try removing conda update conda

* Handle corrupted video headers in io

* Catch exceptions while decoding partly-corrupted files

* Add more tests

* Support Exporting RPN to ONNX

* address PR comments

* fix cat

* add flatten

* replace cat by stack

* update test to run only on rpn module

* use tolerate_small_mismatch

* extend video reader to support fast video probing

* fix c++ lint

* small fix

* allow to accept input video of type torch.Tensor

* Changes for 0.4.1

* Fix upload scripts

Revert "Change all torch::nn::init::Nonlinearity::{name} and torch::nn::init::FanMode::{name} to torch::k{name} (#1394)" (#1428)

This reverts commit 8c3cea7f.

* Fix DeprecationWarning for collections.Iterable import

* Simplify version comparison

* Fix hmdb51.py typo

* Fix ucf101.py typo

* Support Exporting MultiScaleRoiAlign to ONNX

* remove cast

* fix dtype

* move cast

* move sampler into TV core. Update UniformClipSampler

* Fix reference training script

* Skip test if pyav not available

* change interpolation from round() to floor() as round(0.5) behaves differently between py2 and py3

Fix reference training script for Mask R-CNN for PyTorch 1.2 (during evaluation after epoch, mask datatype became bool, pycocotools expects uint8) (#1413)

* add metadata to video dataset classes. bug fix. more robustness

* query video backend within VideoClips class

* Fix tests

* Fix lint

* Temporary fix for CI

* Missing install

* add support for video resnet models, restructure script test to just ignore RCNN models

* switch back to testing subset of the models

Change all torch::nn::init::Nonlinearity::{name} and torch::nn::init::FanMode::{name} to torch::k{name} (#1394)

* Change all torch::nn::init::Nonlinearity::{name} and torch::nn::init::FanMode::{name} to torch::k{name}

* empty commit

* fix lint

* fix lint

* fix lint

* add expected result tests

* fix wrong assertion

* start with only detection models

* remove unneeded rng setting

* fix test

* add tuple support

* update test

* syntax error

* treat .pkl files as binary data, see : https://git-scm.com/book/en/v2/Customizing-Git-Git-Attributes#_binary_files

* fix test

* fix elif

* Map tensor results and enforce maximum pickle size

* unrelated change

* larger rtol

* pass rtol atol around

* last commit i swear...

* respond to comments

* fix flake

* fix py2 flake

Revert "Change all torch::nn::init::Nonlinearity::{name} and torch::nn::init::FanMode::{name} usage to torch::k{name}"

This reverts commit e22c105c.

Change all torch::nn::init::Nonlinearity::{name} and torch::nn::init::FanMode::{name} usage to torch::k{name}

modified code of io.read_video and io.read_video_timestamps to intepret pts values in seconds (#1331)

* modified code of io.read_video and io.read_video_timestamps to interpret pts values in seconds

* changed default value for pts_unit to pts, corrected formatting

* hanndliing both fractions and floats for start_pts and end_pts, added test cases for pts_unit sec

* moved unit conversion logic to _read_from_stream method

* make googlnet scriptable

* Remove typing import in favor of torch.jit.annotations

* add inceptionnet

* flake fixes

* fix asssert true

* add import division for torchscript

* fix script compilation

* fix flake, py2 division error

* fix py2 division error