mindspore.ops.Argmin

class mindspore.ops.Argmin(axis=- 1, output_type=mstype.int32)

Returns the indices of the minimum value of a tensor across the axis.

If the shape of input tensor is $(x_1,...,x_N)$, the shape of the output tensor is $(x_1,...,x_{axis-1},x_{axis+1},...,x_N)$.

Parameters

• axis (int) – Axis where the Argmin operation applies to. Default: -1.

• output_type (mindspore.dtype) – An optional data type of mindspore.dtype.int32. Default: mindspore.dtype.int32.

Inputs:

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

Outputs:

Tensor, indices of the min value of input tensor across the axis.

Raises

• TypeError – If axis is not an int.

• TypeError – If output_type is neither int32 nor int64.

Supported Platforms:

Ascend

Examples

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