torch.from_numpy — PyTorch 2.7 documentation (original) (raw)

torch.from_numpy(ndarray) → Tensor¶

Creates a Tensor from a numpy.ndarray.

The returned tensor and ndarray share the same memory. Modifications to the tensor will be reflected in the ndarray and vice versa. The returned tensor is not resizable.

It currently accepts ndarray with dtypes of numpy.float64,numpy.float32, numpy.float16, numpy.complex64, numpy.complex128,numpy.int64, numpy.int32, numpy.int16, numpy.int8, numpy.uint8, and bool.

Warning

Writing to a tensor created from a read-only NumPy array is not supported and will result in undefined behavior.

Example:

a = numpy.array([1, 2, 3]) t = torch.from_numpy(a) t tensor([ 1, 2, 3]) t[0] = -1 a array([-1, 2, 3])