mindspore.ops.Flatten

class mindspore.ops.Flatten(*args, **kwargs)[source]

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

Inputs:

input_x (Tensor) - Tensor of shape \((N, \ldots)\) to be flattened, where \(N\) is batch size.

Outputs:

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)
>>> flatten = ops.Flatten()
>>> output = flatten(input_x)
>>> print(output.shape)
(1, 24)