Hard Mish Experimental, based on notes by Mish author Diganta Misra at https://github.com/digantamisra98/H-Mish/blob/0da20d4bc58e696b6803f2

Hard Mish Experimental, based on notes by Mish author Diganta Misra at https://github.com/digantamisra98/H-Mish/blob/0da20d4bc58e696b6803f2

Check if a model name exists

r"""Loads a custom (read non .pth) weight file Downloads checkpoint file into cache-dir like torch.hub based loaders, but calls a passed in c

Load pretrained checkpoint Args: model (nn.Module) : PyTorch model module pretrained_cfg (Optional[Dict]): configuration for pre

Mish: A Self Regularized Non-Monotonic Neural Activation Function - https://arxiv.org/abs/1908.08681 NOTE: I don't have a working inplace variant

Mish: A Self Regularized Non-Monotonic Neural Activation Function - https://arxiv.org/abs/1908.08681

Fetch a model entrypoint for specified model name

feature module name accessor

remap checkpoint by iterating over state dicts in order (ignoring original keys). This assumes models (and originating state dict) were created w

Swish - Described in: https://arxiv.org/abs/1710.05941

Swish - Described in: https://arxiv.org/abs/1710.05941

Update the default_cfg and kwargs before passing to model Args: pretrained_cfg: input pretrained cfg (updated in-place) kwargs:

Usage: Calculate Params and FLOPs via [THOP](https://github.com/Lyken17/pytorch-OpCounter) Necessarity: from thop import prof