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torch-mlir/test/python/fx_importer
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Sambhav Jain 2176176fef
[FX] Add broadcast test with dynamic dim (#3123) 
This scenario was uncovered in a downstream test that failed with a
previous snapshot of torch-mlir. See
https://github.com/cruise-automation/mlir-tcp/actions/runs/8605480116/job/23581829102?pr=65.
```
  File "/home/runner/.cache/bazel/_bazel_runner/ce288f117ee4ca92dc028a6a28476a3d/sandbox/processwrapper-sandbox/2380/execroot/mlir-tcp/bazel-out/k8-opt-exec-2B5CBBC6/bin/test/AotCompile/broadcast_unit_dim_to_dynamic_with_unchanged_dim_dynamic_torch_exporter.runfiles/pip_deps_torch_mlir/site-packages/torch_mlir/extras/fx_importer.py", line 969, in value_info_to_type
    raise NotImplementedError(
NotImplementedError: Could not deduce type from value info: tensor_meta=None, val=s1, sparsity=None
```
It seems to have resolved on current HEAD. Adding this test to ensure
coverage in the future.
 		2024-04-29 09:21:12 -07:00
..
v2.3 [NFC reformat] Run pre-commit on all files and format misc. 2024-04-27 14:08:09 -07:00
basic_test.py [FX] Add broadcast test with dynamic dim (#3123) 2024-04-29 09:21:12 -07:00
sparse_test.py [NFC reformat] Applies pre-commit formatting to Python files. (#3244) 2024-04-27 14:16:31 -07:00