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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.argmin

mindspore.ops.argmin(input, axis=None, keepdims=False)

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

• input (Tensor) – Input tensor.

• axis (Union[int, None], optional) – Axis where the Argmin operation applies to. Default: None .

• keepdims (bool, optional) – Whether the output tensor retains the specified dimension. Ignored if axis is None. Default: False .

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

>>> 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