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@pavithranrao pavithranrao commented Mar 31, 2022

Stack from ghstack (oldest at bottom):

Extending torch::jit::load to read flatbuffer file

Differential Revision: D35060736

NOTE FOR REVIEWERS: This PR has internal Facebook specific changes or comments, please review them on Phabricator!

Extending torch::jit::load to read flatbuffer file

Differential Revision: [D35060736](https://our.internmc.facebook.com/intern/diff/D35060736/)

**NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D35060736/)!

[ghstack-poisoned]
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facebook-github-bot commented Mar 31, 2022

🔗 Helpful links

💊 CI failures summary and remediations

As of commit 34c0b64 (more details on the Dr. CI page):


  • 1/1 failures introduced in this PR

🕵️ 1 new failure recognized by patterns

The following CI failures do not appear to be due to upstream breakages

See GitHub Actions build pull / linux-bionic-rocm5.0-py3.7 / test (default, 2, 2, linux.rocm.gpu) (1/1)

Step: "Test" (full log | diagnosis details | 🔁 rerun)

2022-04-01T19:07:20.1145227Z FAIL [0.021s]: tes...id_sampler_cuda (__main__.TestTorchDeviceTypeCUDA)
2022-04-01T19:07:20.0969808Z   test_where_scalar_valid_combination_cuda_int32 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-04-01T19:07:20.1068582Z   test_where_scalar_valid_combination_cuda_int64 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.010s)
2022-04-01T19:07:20.1101063Z   test_where_scalar_valid_combination_cuda_int8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-04-01T19:07:20.1134943Z   test_where_scalar_valid_combination_cuda_uint8 (__main__.TestTorchDeviceTypeCUDA) ... ok (0.003s)
2022-04-01T19:07:20.1139638Z   test_cuda_vitals_gpu_only_cuda (__main__.TestVitalSignsCudaCUDA) ... [TORCH_VITAL] Dataloader.enabled		 True
2022-04-01T19:07:20.1141113Z [TORCH_VITAL] Dataloader.basic_unit_test		 TEST_VALUE_STRING
2022-04-01T19:07:20.1142837Z [TORCH_VITAL] CUDA.used		 true
2022-04-01T19:07:20.1143563Z ok (0.001s)
2022-04-01T19:07:20.1143917Z 
2022-04-01T19:07:20.1144238Z ======================================================================
2022-04-01T19:07:20.1145227Z FAIL [0.021s]: test_invalid_shapes_grid_sampler_cuda (__main__.TestTorchDeviceTypeCUDA)
2022-04-01T19:07:20.1146885Z ----------------------------------------------------------------------
2022-04-01T19:07:20.1148343Z RuntimeError: cudnn_grid_sampler_forward: ATen not compiled with cuDNN support
2022-04-01T19:07:20.1148967Z 
2022-04-01T19:07:20.1149435Z During handling of the above exception, another exception occurred:
2022-04-01T19:07:20.1150008Z 
2022-04-01T19:07:20.1150310Z Traceback (most recent call last):
2022-04-01T19:07:20.1151743Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 1780, in wrapper
2022-04-01T19:07:20.1152699Z     method(*args, **kwargs)
2022-04-01T19:07:20.1154136Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_device_type.py", line 376, in instantiated_test
2022-04-01T19:07:20.1155178Z     result = test(self, **param_kwargs)

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@facebook-github-bot facebook-github-bot added cla signed oncall: jit Add this issue/PR to JIT oncall triage queue labels Mar 31, 2022
pavithranrao added a commit that referenced this pull request Mar 31, 2022
Extending torch::jit::load to read flatbuffer file

Differential Revision: [D35060736](https://our.internmc.facebook.com/intern/diff/D35060736/)

**NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D35060736/)!

ghstack-source-id: 152665232
Pull Request resolved: #75022
Extending torch::jit::load to read flatbuffer file

Differential Revision: [D35060736](https://our.internmc.facebook.com/intern/diff/D35060736/)

**NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D35060736/)!

[ghstack-poisoned]
pavithranrao added a commit that referenced this pull request Apr 1, 2022
Pull Request resolved: #75022

Extending torch::jit::load to read flatbuffer file
ghstack-source-id: 152820697

Differential Revision: [D35060736](https://our.internmc.facebook.com/intern/diff/D35060736/)

**NOTE FOR REVIEWERS**: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D35060736/)!
@pavithranrao pavithranrao requested review from iseeyuan and qihqi April 1, 2022 19:00
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LGTM

facebook-github-bot pushed a commit that referenced this pull request Apr 2, 2022
Summary:
Pull Request resolved: #75022

Extending torch::jit::load to read flatbuffer file
ghstack-source-id: 152820697

Test Plan: CI

Reviewed By: iseeyuan

Differential Revision: D35060736

fbshipit-source-id: d653a5af662a46107ff4fd70209fd2a0a4d40f20
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github-actions bot commented Apr 2, 2022

Hey @pavithranrao.
You've committed this PR, but it does not have both a 'release notes: ...' and 'topics: ...' label. Please add one of each to the PR. The 'release notes: ...' label should represent the part of PyTorch that this PR changes (fx, autograd, distributed, etc) and the 'topics: ...' label should represent the kind of PR it is (not user facing, new feature, bug fix, perf improvement, etc). The list of valid labels can be found here for the 'release notes: ...' and here for the 'topics: ...'.
For changes that are 'topic: not user facing' there is no need for a release notes label.

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This pull request has been reverted by 32e58c7. To re-land this change, please open another pull request, assignthe same reviewers, fix the CI failures that caused the revert and make sure that the failing CI runs on the PR by applying the proper ciflow label (e.g., ciflow/trunk).

@facebook-github-bot facebook-github-bot deleted the gh/pavithranrao/56/head branch April 5, 2022 14:17
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This pull request has been reverted by 42ae19b4c85f5bfce5f07c24f0d252a043b0460d. To re-land this change, please open another pull request, assignthe same reviewers, fix the CI failures that caused the revert and make sure that the failing CI runs on the PR by applying the proper ciflow label (e.g., ciflow/trunk).

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