Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

Input: points: input points data, [B, N, C] idx: sample index data, [B, S] Return: new_points:, indexed points data,

Apply SE3 augmentation to a point clouds and actions. :param pcd: list of point clouds [[bs, 3, H, W], ...] for N cameras :param action_gripp

r"""ResNet-50 model from `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_. Args: pretrained (

Returns list of utf-8 byte and a corresponding list of unicode strings. The reversible bpe codes work on unicode strings. This means you

Return set of symbol pairs in a word. Word is represented as tuple of symbols (symbols being variable-length strings).

Run until prepool and save intermediate features

Convert applicable model parameters to fp16