torch.nn.functional.grid_sample for volumetric input/ Rank 5 input and grid #2284
Labels
Core ML Framework
An issue related to the Core ML Framework
feature request
Functionality does not currently exist, would need to be created as a new feature (type)
🌱 Describe your Feature Request
support torch.nn.function.grid_sample for 5d Volumetric input by supporting 5d input for
mb.affine and mb.resample
for rank >=4 :https://pytorch.org/docs/stable/generated/torch.nn.functional.grid_sample.htmlHow can this feature be used?
Please provide some examples where this feature can be used.
For video generation models features on device
Describe alternatives you've considered
currently grid_sampler is supported for rank 4 tensors. it erros out in resample op mb.resample
input "x" to the "resample" op must be a rank 4 tensor. Got rank 5 tensor of shape (22, 4, c,h,w)
please support to get mb.affine and mb.resample for rank 5 inputs
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