mindspore.ops.argmin

mindspore.ops.argmin(x, axis=- 1)

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

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

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

Returns

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

Raises

TypeError – If axis is not an int.

Supported Platforms:

Ascend GPU CPU

Examples

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