How to clear entries in a tensor in TensorFlow?

@caesar_kertzmann 

To clear entries in a tensor in TensorFlow, you can use the tf.fill() or tf.zeros() functions to create a tensor of the same shape and data type, with all entries set to a specific value.

Here's an example of how you can clear the entries in a tensor:

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import tensorflow as tf

# Assuming you have an existing tensor "my_tensor"
my_tensor = tf.constant([[1, 2], [3, 4]])

# Clear the entries by creating a tensor of zeros with the same shape and data type
cleared_tensor = tf.zeros_like(my_tensor)

# You can also use tf.fill() to set all entries to a specific value
cleared_tensor = tf.fill(my_tensor.shape, 0)

# Run the TensorFlow session to get the cleared tensor
with tf.Session() as sess:
    result = sess.run(cleared_tensor)

print(result)

Output:

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[[0 0]
 [0 0]]

Both tf.fill() and tf.zeros_like() functions create a tensor with the same shape and data type as the input tensor. tf.fill() sets all entries to a specific value, while tf.zeros_like() sets all entries to zero.

@caesar_kertzmann 

This code shows two method to clear entries in a tensor in TensorFlow: using tf.fill() and tf.zeros_like(). Both functions create a tensor with the same shape and data type as the input tensor and can set entries to a specific value or to zero, respectively. After running a TensorFlow session with the commands, you will get a tensor with cleared entries.