mindspore.ops.argmax

mindspore.ops.argmax(input, dim=None, keepdim=False)

Return the indices of the maximum values of a tensor across a dimension.

Parameters

• input (Tensor) – Input tensor.

• dim (Union[int, None], optional) – The dimension to reduce. If dim is None, the indices of the maximum value within the flattened input will be returned. Default: None.

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

Returns

Tensor, indices of the maximum values across a dimension.

Raises

• TypeError – If keepdim is not bool.

• ValueError – If dim is out of range.

Supported Platforms:

Ascend GPU CPU

Examples

>>> x = Tensor(np.array([[1, 20, 5], [67, 8, 9], [130, 24, 15]]).astype(np.float32))
>>> output = ops.argmax(x, dim=-1)
>>> print(output)
[1 0 0]