>>> x = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])

>>> y = F.reshape(x, (8,))

>>> y.shape
(8,)

>>> y.data

array([1, 2, 3, 4, 5, 6, 7, 8])

>>> y = F.reshape(x, (4, -1))  # the shape of output is inferred

>>> y.shape
(4, 2)

>>> y.data

array([[1, 2],
       [3, 4],
       [5, 6],
       [7, 8]])

>>> y = F.reshape(x, (4, 3))  # the shape of input and output are not consistent

Traceback (most recent call last):

...

Invalid operation is performed in: Reshape (Forward)

Expect: prod(in_types[0].shape) == prod((4, 3))

Actual: 8 != 12