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CUNET uses 3 operators:
```
aten.convolution.default
aten.max_pool2d_with_indices.default
aten.relu.default
```

which correspond to these signatures:
```
- func: convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups) -> Tensor
- func: max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor)
- func: relu(Tensor self) -> Tensor
```

Differential Revision: [D54700658](https://our.internmc.facebook.com/intern/diff/D54700658/)

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pytorch-bot bot commented Apr 5, 2024

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2889

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Apr 5, 2024
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This pull request was exported from Phabricator. Differential Revision: D54700658

jorgep31415 added a commit that referenced this pull request Apr 5, 2024
CUNET uses 3 operators:
```
aten.convolution.default
aten.max_pool2d_with_indices.default
aten.relu.default
```

which correspond to these signatures:
```
- func: convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups) -> Tensor
- func: max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor)
- func: relu(Tensor self) -> Tensor
```

Differential Revision: [D54700658](https://our.internmc.facebook.com/intern/diff/D54700658/)

ghstack-source-id: 221534993
Pull Request resolved: #2889
@jorgep31415 jorgep31415 closed this Apr 5, 2024
@jorgep31415 jorgep31415 changed the title [ET-VK] Add CUNET model test [ET-VK] model test Apr 5, 2024
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