1+cu113 and transformers==4. compile(). Tensor) of shape (512, 512, 3) (the first dimension being the color channel count). frombuffer() 将其转换为十进制格式的文件，这是一维数组。 然后可以使用 cv2. what is its characteristics and when we will use that and when we should not use that? If a buffer is basically the same as tensor, Why would I even need a buffer when I can simply create my tensor inside the module? an example would be appreciated!! thanks Sep 26, 2023 · And I think it is due to version mismatch between my torch and transformer package. frombuffer 是 PyTorch 中的一个函数，用于从缓冲区（buffer）创建一个张量（tensor）。这个函数允许你将一个已有的内存缓冲区（如 NumPy 数组、字节数组 Apr 26, 2024 · The first answer almost works, but torch. frombuffer`错误，发现是由于transformers版本过高。解决方案是降级transformers到3. My transformer module 4. int64 Aug 23, 2023 · AttributeError: module 'torch' has no attribute 'frombuffer' 错误通常表示您正在尝试使用 torch. 33.

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