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Issue was coming from the definition of SpatialPad (self.ldm_resizer)… #449
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… and Crop (self.autoencoder_resizer). The spatial_size passed included a [-1] to cover the channel dimension. The code, as it was written, made the assumption that this channel dimension was a spatial dimension and that the batch dimension was the channel one, leading to errors related to the affine transform of the MetaTensor being wrong. self.ldm_resizer should operate on an unbatched version of the tensor, hence we changed the call to the resizers by one that uses decollate and then stacks the elements of the batch together again.
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@ericspod I have changed this to not wrongly assume that the batch is the channel, as was done before - this is what I understood from the MONAI Core discussion (Project-MONAI/MONAI#7323). This makes more sense and seems to work fine. |
marksgraham
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Dec 20, 2023
marksgraham
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… and Crop (self.autoencoder_resizer). The spatial_size passed included a [-1] to cover the channel dimension. The code, as it was written, made the assumption that this channel dimension was a spatial dimension and that the batch dimension was the channel one, leading to errors related to the affine transform of the MetaTensor being wrong. self.ldm_resizer should operate on an unbatched version of the tensor, hence we changed the call to the resizers by one that uses decollate and then stacks the elements of the batch together again.