Method flatten

torch/_numpy/_ndarray.py:296–297

(self: ArrayLike, order: NotImplementedType = "C")

    @normalizer
    def flatten(self: ArrayLike, order: NotImplementedType = "C"):
        return torch.flatten(self)

    def resize(self, *new_shape, refcheck=False):
        # NB: differs from np.resize: fills with zeros instead of making repeated copies of input.