emmi.modules.preprocessors.numpy_to_torch_tensor¶
Classes¶
Convert numpy arrays to PyTorch tensors. |
Module Contents¶
- class emmi.modules.preprocessors.numpy_to_torch_tensor.NumpyToTorchTensorPreProcessor(normalization_key)¶
Bases:
ksuit.data.preprocessors.PreProcessorConvert numpy arrays to PyTorch tensors.
- Parameters:
normalization_key (str) – key to identify on which getitem_ in the dataset/tensor the preprocessor is applied.
- Raises:
TypeError – If normalization_key is not a string.
- denormalize(x)¶
Convert a PyTorch tensor back to a numpy array.
- Parameters:
x (torch.Tensor)
- Return type:
numpy.ndarray