How to pad a 3d numpy array

Question

I have a 3d numpy array having shape of (2, 128, 128) and I want to add zeros to it so that it becomes (2, 162, 162).
I have this below code for padding 2d array

input = tf.constant([[1, 2], [3, 4]])
padding = tf.constant([[2, 2], [2, 2]])

# Printing the Input
print("Input: ", input)
print("Padding: ", padding)

# Generating padded Tensor
res = tf.pad(input, padding, mode ='CONSTANT')

But I want to know padding 3d array by adding zeros.

Asked By: Tensor

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Source

Answer 1

You need to add one more rank to the padding tensor.

import tensorflow as tf
inp_tns = tf.random.uniform((2, 128, 128))
pad_tns = tf.constant([ [0, 0] ,     [17, 17],    [17, 17]   ])
# -----------padding: ^first_dim^
# ------------------------padding: ^second_dim^
# ---------------------------------------padding: ^third_dim^

# Printing the Input
print("Input: ", inp_tns)
print("Padding: ", pad_tns)

# Generating padded Tensor
res = tf.pad(inp_tns, pad_tns, mode ='CONSTANT', constant_values=0)
print(res.shape)

(2, 162, 162)

NB. Reference : tf.pad

Answered By: I'mahdi

Answer 2

https://stackoverflow.com/a/48690064/16975978

I made like in shared link.

z = np.zeros((2, 5, 5))
o = np.ones((2, 3, 3))
z[:, :3, :3] = o
print(z)

Check the result

Answered By: Cailen

How to pad a 3d numpy array

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