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Ensure the shape of input patches is compatible with model constraints #682
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Update CHANGELOG Fix transform being passed to itself Add correct changes to inference file
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Shruthi42
previously approved these changes
Mar 8, 2022
| @@ -59,15 +59,6 @@ def run_inference_on_unet(size: TupleInt3) -> None: | |||
| image_util.check_array_range(p) | |||
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| def test_inference_on_too_small_image() -> None: | |||
| """ | |||
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Because images will never be too small after merging
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The other PR does not have tests. Is it not possible to have a test to demonstrate that this is correct?
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I believe all this is covered by the tests in https://github.com/microsoft/InnerEye-DeepLearning/blob/main/Tests/ML/models/architectures/test_crop_size_multiple.py
javier-alvarez
approved these changes
Mar 10, 2022
ant0nsc
approved these changes
Mar 10, 2022
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This change uses TorchIO's
EnsureShapeMultipleto ensure that the inputs are a multiple of certain number which is specified in the model size constraints.