Check if all files are available before going deeper

Check if all files are available before going deeper

Check if all files are available before going deeper

Check if all files are available before going deeper

convert patch embedding weight from manual patchify + linear proj to conv

convert patch embedding weight from manual patchify + linear proj to conv

Create AugMix PyTorch transform :param config_str: String defining configuration of random augmentation. Consists of multiple sections separated

Create a AutoAugment transform :param config_str: String defining configuration of auto augmentation. Consists of multiple sections separated

Computes cosine distance. Args: features (torch.Tensor): 2-D feature matrix. others (torch.Tensor): 2-D feature matrix. Return

Args: x: pytorch Variable, with shape [m, d] y: pytorch Variable, with shape [n, d] Returns: dist: pytorch Variable, with s

Computes cosine distance. Args: features (torch.Tensor): 2-D feature matrix. others (torch.Tensor): 2-D feature matrix. Return

Args: x: feature matrix with shape (batch_size, feat_dim). labels: ground truth labels with shape (num_classes).

Args: inputs: prediction matrix (before softmax) with shape (batch_size, num_classes) targets: ground truth labels wi