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Support symbolic for conv_tbc (#58359) #58577
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This is a fix for exporting fairseq models, see: ```python model = torch.hub.load(github, 'conv.wmt14.en-fr', tokenizer='moses', bpe='subword_nmt') model = torch.hub.load(github, 'conv.wmt17.en-de', tokenizer='moses', bpe='subword_nmt') ``` With this fix, and comment out model script one line `GradMultiply`, these two models can be exported successfully with perf met. The original PR #57708 has merging issue, use this one instead. Co-authored-by: David <jiafa@microsoft.com> [ghstack-poisoned]
💊 CI failures summary and remediationsAs of commit 7040e55 (more details on the Dr. CI page):
🕵️ 1 new failure recognized by patternsThe following CI failures do not appear to be due to upstream breakages: pytorch_linux_xenial_py3_clang7_onnx_ort_test1 (1/1)Step: "Run tests" (full log | diagnosis details | 🔁 rerun)
|
Job | Step | Action |
---|---|---|
pytorch_linux_bionic_cuda10_2_cudnn7_py3_9_gcc7_test1 | Run tests | 🔁 rerun |
pytorch_linux_bionic_py3_8_gcc9_coverage_test1 | Report results | 🔁 rerun |
1 job timed out:
pytorch_linux_bionic_py3_8_gcc9_coverage_test1
🚧 1 fixed upstream failure:
These were probably caused by upstream breakages that were already fixed.
Please rebase on the viable/strict
branch (expand for instructions)
If your commit is older than viable/strict
, run these commands:
git fetch https://github.com/pytorch/pytorch viable/strict
git rebase FETCH_HEAD
- pytorch_linux_bionic_cuda10_2_cudnn7_py3_9_gcc7_test2 on May 19 from 8:24am to 2:23pm (4cf9b11 - 029bec4)
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This was referenced May 19, 2021
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Stack from ghstack:
This is a fix for exporting fairseq models, see:
With this fix, and comment out model script one line
GradMultiply
, these two models can be exported successfully with perf met.The original PR #57708 has merging issue, use this one instead.
Co-authored-by: David jiafa@microsoft.com