mindspore.ops.Argmax
- class mindspore.ops.Argmax(axis=- 1, output_type=mstype.int32)[source]
Returns the indices of the maximum value of a tensor across the axis.
If the shape of input tensor is \((x_1, ..., x_N)\), the shape of the output tensor will be \((x_1, ..., x_{axis-1}, x_{axis+1}, ..., x_N)\).
- Parameters
axis (int) – Axis where the Argmax 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. \((N,*)\) where \(*\) means, any number of additional dimensions. Support data type list as follows:
Ascend: Float16, Float32.
GPU: Float16, Float32.
CPU: Float16, Float32, Float64.
- Outputs:
Tensor, indices of the max value of input tensor across the axis.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> input_x = Tensor(np.array([[1, 20, 5], [67, 8, 9], [130, 24, 15]]).astype(np.float32)) >>> output = ops.Argmax(output_type=mindspore.int32)(input_x) >>> print(output) [1 0 0]