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# torch.from_numpy

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 `numpy.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])

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