mindspore.mint.max

mindspore.mint.max(input) → Tensor[source]

Returns the maximum value of the input tensor.

Parameters: input (Tensor) – The input tensor.
Returns: Scalar Tensor with the same dtype as input, the maximum value of the input.

Supported Platforms:: Ascend

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, mint
>>> x = Tensor(np.array([0.0, 0.4, 0.6, 0.7, 0.1]), mindspore.float32)
>>> output = mint.max(x)
>>> print(output)
0.7

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

Calculates the maximum value along with the given dim for the input tensor, and returns the maximum values and indices.

Parameters

input (Tensor) – The input tensor, can be any dimension. Set the shape of input tensor as \((input_1, input_2, ..., input_N)\) , Complex tensor is not supported.
dim (int) – The dimension to reduce.
keepdim (bool, optional) – Whether to reduce dimension, if True the output will keep the same dimension as the input , the output will reduce dimension if false. Default: False.

Returns

tuple (Tensor), tuple of 2 tensors, containing the maximum value of the self tensor along the given dimension dim and the corresponding index.

values (Tensor) - The maximum value of input tensor, with the same shape as index, and same dtype as input.
index (Tensor) - The index for the maximum value of the input tensor, with dtype int64. If keepdim is True , the shape of output tensors is \((input_1, input_2, ..., input_{dim-1}, 1, input_{dim+1}, ..., input_N)\). Otherwise, the shape is \((input_1, input_2, ..., input_{dim-1}, input_{dim+1}, ..., input_N)\) .

Raises

TypeError – If input is not Tensor.
TypeError – If keepdim is not a bool.
TypeError – If dim is not an int.

Supported Platforms:: Ascend

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, mint
>>> x = Tensor(np.array([0.0, 0.4, 0.6, 0.7, 0.1]), mindspore.float32)
>>> output, index = mint.max(x, 0, keepdim=True)
>>> print(output, index)
[0.7] [3]

mindspore.mint.max(input, other) → Tensor[source]

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