Complex Modules for PyTorch
Project description
pytorch-complex
Install it using pip:
pip install pytorch-complex
Usage: Similar to PyTorch. For using the Complex features of this library, just change the regular torch imports with torchcomplex imports. For example: import torchcomplex.nn as nn instead of import torch.nn as nn Then, simply nn.Conv2d for both torch and torchcomplex, for 2D Convolution
History
0.0.1 (2020-11-06)
- First release (of the package) on PyPI.
- torchcomplex.nn -> Convolutions, Linears, Dropout, Pooling, BatchNorm, Few Actications
- Untested first version, could be buggy
0.0.0 (2020-11-06)
- First release (basic structure, not the actual package code) on PyPI.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pytorch-complex-0.0.7.3.tar.gz
(31.9 kB
view hashes)
Built Distribution
Close
Hashes for pytorch_complex-0.0.7.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4fb076988b0b101aebbb42615e7cf313f260728c80a528996924fc25f97e8170 |
|
MD5 | d87001fa2dfc1d4a1a9f197b994a61a2 |
|
BLAKE2b-256 | 73125a7bb836c9f5fb63dc0adb0b4e8aa3e89b7b086ed4277829ae4aed995450 |