Complex losses

complex-loss is a Python package that provides CUDA accelerated loss functions for PyTorch.

This library was created in response to pytorch/pytorch#47052.

Complex numbers are far richer than the real numbers and as such need their own loss functions.

The project is currently in active development, with the intention of devloping

Installation

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Binaries

These aren't available yet, but hopefully will be migrated to PyPi.

From Source

If you're installing from source, you need to install PyTorch.

git clone https://github.com/rjkilpatrick/complex-loss
python3 ./setup.py

Loss functions Provided

-[ ] torch.nn.ELU -[ ] torch.nn.Hardshrink -[ ] torch.nn.Hardsigmoid -[ ] torch.nn.Hardtanh -[ ] torch.nn.Hardswish -[ ] torch.nn.LeakyReLU -[ ] torch.nn.LogSigmoid -[ ] torch.nn.MultiheadAttention -[ ] torch.nn.PReLU -[ ] torch.nn.ReLU -[ ] torch.nn.ReLU6 -[ ] torch.nn.RReLU -[ ] torch.nn.SELU -[ ] torch.nn.CELU -[ ] torch.nn.GELU -[ ] torch.nn.Sigmoid -[ ] torch.nn.SiLU -[ ] torch.nn.Softplus -[ ] torch.nn.Softshrink -[ ] torch.nn.Softsign -[ ] torch.nn.Tanh -[ ] torch.nn.Tanhshrink -[ ] torch.nn.Threshold