mindspore.mint.max

mindspore.mint.max(input) → Tensor

Return the maximum value of the input tensor.

Parameters

input (Tensor) – The input tensor.

Returns

Tensor

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> x = mindspore.tensor([0.0, 0.4, 0.6, 0.7, 0.1], mindspore.float32)
>>> mindspore.mint.max(x)
Tensor(shape=[], dtype=Float32, value= 0.7)

mindspore.mint.max(input, dim, keepdim=False)

Return the maximum value of the input tensor along the specified dimension.

Parameters

• input (Tensor) – The input tensor.

• dim (int) – Specify the dimension to compute.

• keepdim (bool, optional) – Whether the output tensor has dim retained. Default False.

Returns

Tuple of two tensors, tuple(max, max_indices).

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> x = mindspore.tensor([0.0, 0.4, 0.6, 0.7, 0.1], mindspore.float32)
>>> mindspore.mint.max(x, 0, keepdim=True)
(Tensor(shape=[1], dtype=Float32, value= [ 6.99999988e-01]), Tensor(shape=[1], dtype=Int64, value= [3]))

mindspore.mint.max(input, other) → Tensor

For details, please refer to mindspore.mint.maximum().