mindspore.ops.flatten

mindspore.ops.flatten(input_x)

Flattens a tensor without changing its batch size on the 0-th axis.

Parameters

input_x (Tensor) – Tensor of shape $(N,\dots )$ to be flattened, where $N$ is batch size.

Returns

Tensor, the shape of the output tensor is $(N,X)$, where $X$ is the product of the remaining dimension.

Raises

• TypeError – If input_x is not a Tensor.

• ValueError – If length of shape of input_x is less than 1.

Supported Platforms:

Ascend GPU CPU

Examples

>>> input_x = Tensor(np.ones(shape=[1, 2, 3, 4]), mindspore.float32)
>>> output = ops.flatten(input_x)
>>> print(output.shape)
(1, 24)