TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. argmax() is a method present in tensorflow math module. This method is used to find the maximum value across the axes.
Syntax:
tensorflow.math.argmax(
input,axes,output_type,name
)
Arguments:
1. input: It is a tensor. Allowed dtypes for this tensor are float32,
float64, int32, uint8, int16, int8, complex64, int64, qint8,
quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64.
2. axes: It is also a vector. It describes the axes to reduce the tensor.
Allowed dtype are int32 and int64. Also [-rank(input),rank(input)) is the range allowed.
axes=0 is used for vector.
3. output_type: It defines the dtype in which returned result should be.
Allowed values are int32, int64 and the default value is int64.
4. name: It is an optional argument which defines name for the operation.
Return:
A tensor of output_type which contains the indices of the maximum value along the axes.
Example 1:
Python3
# importing the libraryimport tensorflow as tf# initializing the constant tensora = tf.constant([5,10,5.6,7.9,1,50]) # 50 is the maximum value at index 5# getting the maximum value index tensorb = tf.math.argmax(input = a)# printing the tensorprint('tensor: ',b)# Evaluating the value of tensorc = tf.keras.backend.eval(b)#printing the valueprint('value: ',c) |
Output:
tensor: tf.Tensor(5, shape=(), dtype=int64) value: 5
Example 2:
This example uses a tensor of shape(3,3).
Python3
# importing the libraryimport tensorflow as tf# initializing the constant tensora = tf.constant(value = [9,8,7,3,5,4,6,2,1],shape = (3,3))# printing the initialized tensorprint(a)# getting the maximum value indices tensorb = tf.math.argmax(input = a)# printing the tensorprint('Indices Tensor: ',b)# Evaluating the tensor valuec = tf.keras.backend.eval(b)# printing the valueprint('Indices: ',c) |
Output:
tf.Tensor( [[9 8 7] [3 5 4] [6 2 1]], shape=(3, 3), dtype=int32) Indices tensor: tf.Tensor([0 0 0], shape=(3,), dtype=int64) Indices: [0 0 0] # maximum value along the axes are 9,8,7 at indices 0,0,0 respectively.
