diffusers

9ae90593 - Replacing the nn.Mish activation function with a get_activation function. (#5651)

Replacing the nn.Mish activation function with a get_activation function. (#5651) * I added a new doc string to the class. This is more flexible to understanding other developers what are doing and where it's using. * Update src/diffusers/models/unet_2d_blocks.py This changes suggest by maintener. Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update src/diffusers/models/unet_2d_blocks.py Add suggested text Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update unet_2d_blocks.py I changed the Parameter to Args text. * Update unet_2d_blocks.py proper indentation set in this file. * Update unet_2d_blocks.py a little bit of change in the act_fun argument line. * I run the black command to reformat style in the code * Update unet_2d_blocks.py similar doc-string add to have in the original diffusion repository. * I removed the dummy variable defined in both the encoder and decoder. * Now, I run black package to reformat my file * Remove the redundant line from the adapter.py file. * Black package using to reformated my file * Replacing the nn.Mish activation function with a get_activation function allows developers to more easily choose the right activation function for their task. Additionally, removing redundant variables can improve code readability and maintainability. * I try to fix this: Fast tests for PRs / Fast PyTorch Models & Schedulers CPU tests (pull_request) * Update src/diffusers/models/resnet.py Co-authored-by: YiYi Xu <yixu310@gmail.com> --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by: YiYi Xu <yixu310@gmail.com>