Web Reference: Creates a 1-dimensional Tensor from an object that implements the Python buffer protocol. Skips the first offset bytes in the buffer, and interprets the rest of the raw bytes as a 1-dimensional tensor of type dtype with count elements. Note that either of the following must be true: Examples const buf = new Float32Array( [1, 2, 3, 4]);const t = torch.frombuffer(buf); // Shape: [4]// From raw bytes (like Python bytes)// [0, 0, 128, 63, 0, 0, 0, 64] are bytes for float32 values 1.0 and 2.0const t2 = torch.frombuffer( [0, 0, 128, 63, 0, 0, 0, 64]); // Shape: [2], values: [1.0, 2.0] Jun 19, 2024 · UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor.
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