argmin¶

paddle.fluid.layers.tensor. argmin ( x, axis=0 ) [source]

alias_main

paddle.argmin

alias

paddle.argmin,paddle.tensor.argmin,paddle.tensor.search.argmin

old_api

paddle.fluid.layers.argmin

argmin

This OP computes the indices of the min elements of the input tensor’s element along the provided axis.

Parameters

• x (Variable) – An input N-D Tensor with type float32, float64, int16, int32, int64, uint8.

• axis (int, optional) – Axis to compute indices along. The effective range is [-R, R), where R is Rank(x). when axis<0, it works the same way as axis+R. Default is 0.

Returns

A Tensor with data type int64.

Return type

Variable

Examples

import paddle.fluid as fluid
import numpy as np

in1 = np.array([[[5,8,9,5],
                [0,0,1,7],
                [6,9,2,4]],
                [[5,2,4,2],
                [4,7,7,9],
                [1,7,0,6]]])
with fluid.dygraph.guard():
    x = fluid.dygraph.to_variable(in1)
    out1 = fluid.layers.argmin(x=x, axis=-1)
    out2 = fluid.layers.argmin(x=x, axis=0)
    out3 = fluid.layers.argmin(x=x, axis=1)
    out4 = fluid.layers.argmin(x=x, axis=2)
    print(out1.numpy())
    # [[0 0 2]
    #  [1 0 2]]
    print(out2.numpy())
    # [[0 1 1 1]
    #  [0 0 0 0]
    #  [1 1 1 0]]
    print(out3.numpy())
    # [[1 1 1 2]
    #  [2 0 2 0]]
    print(out4.numpy())
    # [[0 0 2]
    #  [1 0 2]]