Skip to main content

Practical Pipelining for pyTorch

Project 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

fake_image = model(torch.unsqueeze(real_image, 0).cuda()).cpu().detach().numpy()[0]

can be replaced by

fake_image = SingleDisplayableImage<<model(ModelInputFormat<<real_image)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

torch-tensor-type-0.0.1.tar.gz (1.9 kB view details)

Uploaded Source

Built Distribution

torch_tensor_type-0.0.1-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file torch-tensor-type-0.0.1.tar.gz.

File metadata

  • Download URL: torch-tensor-type-0.0.1.tar.gz
  • Upload date:
  • Size: 1.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for torch-tensor-type-0.0.1.tar.gz
Algorithm Hash digest
SHA256 34033a0007a1ea2ed20390f0caa1cf599fe3fe1eeffb2851bfc48604dee51d2f
MD5 dd40de64157a4e15481420a8febb257f
BLAKE2b-256 03bd29a343fe6ddc2b4ccd7be5fbd1662f3b6d2dc075b2c0c65ac65d212d39e4

See more details on using hashes here.

File details

Details for the file torch_tensor_type-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: torch_tensor_type-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for torch_tensor_type-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 41096a9fa049117405a196160cc9c84d9bd94a9f213f9d1c0885ff7add591c07
MD5 dc3d46509b36d24b6d601147f1383b42
BLAKE2b-256 b1c6fa74dafbeba51802fd743b68d854ce817b87bf7c0ec4ee7f1fce10d0d0f0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page