Added explicit casting of input in predict pipeline. #1281
Merged
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This is necessary if for some reason the input's preprocessing pipeline does not have normalization, so input stays in uint8 format.
Example:
Input image has [0..255] range for uint8 dtype
Validation dataset do not have normalization/standardization.
torch_inputs in this case would have torch.uint8 dtype and that would crash
Solution: Take the model's dtype of first parameter (That is likely to be the first layer taking the input) and cast input's dtype to this type.
Fixes: #1269