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# Tensorflow2.0 - How to convert Tensor to numpy() array

Written by- Aionlinecourse988 times views

You can use the .numpy() method of a Tensor to convert it to a NumPy array. Here's an example:

Keep in mind that this method returns a NumPy array with a copy of the data in the Tensor. If you want to avoid the overhead of copying the data, you can use the tf.Tensor.experimental_memory_efficient_forwarding property, which returns a view of the Tensor as a NumPy array without copying the data. Here's an example:

import tensorflow as tf

# Create a Tensor

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

# Convert the Tensor to a NumPy array

array = tensor.numpy()

print(array) # prints [[1 2] [3 4]]

import tensorflow as tfNote that this property is experimental and may not always be available.

# Create a Tensor

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

# Get a view of the Tensor as a NumPy array without copying the data

array = tensor.experimental_memory_efficient_forwarding

print(array) # prints [[1 2] [3 4]]