Python - tensorflow.concat()

TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning  neural networks.

concat() is used to concatenate tensors along one dimension.

Syntax: tensorflow.concat( values, axis, name )

Parameter:

• values: It is a tensor or list of tensor.
• axis: It is 0-D tensor which represents dimension to concatenate.
• name(optional): It defines the name for the operation.

Returns: It returns the concatenated Tensor.

Example 1:

Output:

t1: [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]
t2: [[[7, 4], [8, 4]], [[2, 10], [15, 11]]]
Result: tf.Tensor(
[[[ 1 2 7 4]
 [ 3 4 8 4]]

 [[ 5 6 2 10]
 [ 7 8 15 11]]], shape=(2, 2, 4), dtype=int32)
 
 

Example 2:

Output:

t1: [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]
t2: [[[7, 4], [8, 4]], [[2, 10], [15, 11]]]
Result: tf.Tensor(
[[[ 1 2]
 [ 3 4]
 [ 7 4]
 [ 8 4]]

 [[ 5 6]
 [ 7 8]
 [ 2 10]
 [15 11]]], shape=(2, 4, 2), dtype=int32)