mindspore.ops.Argmin

class mindspore.ops.Argmin(axis=- 1, output_type=mstype.int32)[source]

Returns the indices of the minimum value along a specified axis of a Tensor.

If the shape of input tensor is $(x_{1}, . . ., x_{N})$ , the shape of the output tensor is $(x_{1}, . . ., x_{a x i s - 1}, x_{a x i s + 1}, . . ., x_{N})$ .

Parameters

axis (int, optional) – Axis where the Argmin operation applies to. Default: -1 .
output_type (mindspore.dtype, optional) – Output data type. Supported types: mstype.int32 , mstype.int64 . Default: mstype.int32 .

Inputs:

input_x (Tensor) - Input tensor. The shape is $(N, *)$ where $*$ means, any number of additional dimensions.

Outputs:

Tensor, which is the minimum index in the specified axis of input Tensor.

Raises

TypeError – If axis is not an int.
TypeError – If output_type is neither int32 nor int64.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input_x = Tensor(np.array([2.0, 3.1, 1.2]), mindspore.float32)
>>> index = ops.Argmin()(input_x)
>>> print(index)
2