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Compatibility with jit.script and torch.compile: COMPLETE #40
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Signed-off-by: Mario Geiger <mgeiger@nvidia.com>
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
Note: depends on backend MR #74. |
mariogeiger
reviewed
Dec 4, 2024
cuequivariance_torch/cuequivariance_torch/primitives/tensor_product.py
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cuequivariance_torch/cuequivariance_torch/primitives/symmetric_tensor_product.py
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Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
…t-script Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
mariogeiger
approved these changes
Dec 9, 2024
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I think we can merge
cuequivariance_torch/tests/primitives/equivariant_tensor_product_test.py
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@pytest.mark.parametrize("batch", [0, 32]) | ||
@pytest.mark.parametrize("batch", [1, 32]) |
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We must not forget to add back this test batch=0 when the backend properly supports it
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