我想连接张量,不是沿着一个维度,而是通过创建一个新的维度。 例如: x = torch.randn(2, 3)# This concats along dim 0, not what I want
# This concats along dim 1, not what I want
torch.cat([x[None, :, :],x[None, :, :],x[None, :, :],x[
我在keras中有以下代码:def load_images(path, size=(256,512)): # enumerate filenames in directory, assume all are images # load and resize the image
pixels = load_img(pa
运行此代码时:embedding_matrix = torch.stack(embeddings)RuntimeError: stack expects each tensor toj += 1 sent_embedding = torch.stack(tokens_embedding)embedding_matrix = tor