`pytorch-revgrad`

python version

This package implements a gradient reversal layer for pytorch modules.

Example usage

import torch

from pytorch_revgrad import RevGrad

model = torch.nn.Sequential(
    torch.nn.Linear(10, 5),
    torch.nn.Linear(5, 2),
    RevGrad()
)

Metadata

Release files for pytorch_revgrad 0.2.0

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Source distribution (sdist)

Source distribution for pytorch_revgrad 0.2.0
File	Size	Uploaded	Provenance
pytorch_revgrad-0.2.0.tar.gz	7.1 kB	Jan 9, 2021	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for pytorch_revgrad 0.2.0
File	Interpreter	ABI	Platform	Reset
pytorch_revgrad-0.2.0-py3-none-any.whl 4.6 kB Jan 9, 2021 Without provenance	Python 3	none	any	Details

Total release size: 11.7 kB

Release files / pytorch_revgrad-0.2.0.tar.gz

Download URL	pytorch_revgrad-0.2.0.tar.gz
Size	7.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`9cf097a7d18cbadddeaec9fef74b258d70b6cb8d0c77f524baab18bffc7d7be9`
BLAKE2b-256 checksum How to use checksums	`90c3aecc90deea743b93757e05e235f70eef479509eb3eb11b19f3aa0d528541`
Upload date	Jan 9, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`python-requests/2.24.0`

Release files / pytorch_revgrad-0.2.0-py3-none-any.whl

Download URL	pytorch_revgrad-0.2.0-py3-none-any.whl
Size	4.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`2276fb189b2ce26f756a97effe2a6bcf8f7fdc60542c5dfb45c53f09ef123aa7`
BLAKE2b-256 checksum How to use checksums	`ece910b11b186b99c40213dca68cf6c38051b6704a74e1056d3f3ca4c12f14b9`
Upload date	Jan 9, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`python-requests/2.24.0`

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