Metadata-Version: 2.1
Name: torch-tensor-type
Version: 0.0.1
Summary: Practical Pipelining for pyTorch
Home-page: https://github.com/HiiGHoVuTi/TorchTensorTypes
Author: Maxime
Author-email: himyundevacc@gmail.com
License: UNKNOWN
Description: 
        # Torch Tensor Types
        
        This package is a Quality of Life improvement when prototyping and processing Tensor objects from the pyTorch library.
        The TensorType class is a Pipeline for preprocessing tensors automatically, and include multiple utility methods.
        You can add TensorTypes together to have a longer preprocessing pipeline.
        
        For example, this code 
        ```py
        fake_image = model(torch.unsqueeze(real_image, 0).cuda()).cpu().detach().numpy()[0]
        ```
        can be replaced by
        ```py
        fake_image = SingleDisplayableImage<<model(ModelInputFormat<<real_image)
        ```
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
