chainer.functions.reshape¶
-
chainer.functions.
reshape
(x, shape)[source]¶ Reshapes an input variable without copy.
Parameters: - x (
Variable
ornumpy.ndarray
orcupy.ndarray
) – Input variable. - shape (
tuple
ofint
s) – Expected shape of the output array. The number of elements which the array ofshape
contains must be equal to that of input array. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions.
Returns: Variable that holds a reshaped version of the input variable.
Return type: See also
Example
>>> 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): ... chainer.utils.type_check.InvalidType: Invalid operation is performed in: Reshape (Forward)
Expect: prod(in_types[0].shape) == prod((4, 3)) Actual: 8 != 12
- x (