def __init__(self, patch_size: int = 16, in_channels: int = 1, embed_dim: int = 768):
        """
        Specifies the configuration for the convolutional layer.

        :param patch_size: The patch size used by the ViT.
        :param in_channels: Number of input channels.
        :param embed_dim: The embedding dimension used by the ViT.
        """
        super().__init__()
        self.patch_size = patch_size
        self.in_channels = in_channels
        self.embed_dim = embed_dim
        self.proj: torch.nn.Conv2d | None = None

        Specifies the configuration for the convolutional layer.

        :param patch_size: The patch size used by the ViT.
        :param in_channels: Number of input channels.
        :param embed_dim: The embedding dimension used by the ViT.
        
art/estimators/certification/derandomized_smoothing/vision_transformers/pytorch.py