Make resampling kernel for UpFirDn. Args: k (list[int]): A list indicating the 1D resample kernel magnitude. Returns: Tensor

Compute log(alpha_t) of a given continuous-time label t in [0, T].

* Register callback to be called when the UI is loaded. * The callback receives no arguments.

Parameters: x: base64 url data, or (if tool == "sketch") a dict of image and mask base64 url data Returns: im

Args: x: (b, h, w, c) window_size (int): window size Returns: windows: (num_windows*b, window_size, window_size, c)

Calculate mean and std for adaptive_instance_normalization. Args: feat (Tensor): 4D tensor. eps (float): A small value added to th

Evaluate a function without caching intermediate activations, allowing for reduced memory at the expense of extra compute in the backward pas

Performs all_gather operation on the provided tensors. *** Warning ***: torch.distributed.all_gather has no gradient.

3x3 convolution with padding

Return the data prediction model (with thresholding).