Python - tensorflow.raw_ops.Sinh()

Python - tensorflow.raw_ops.Sinh()

tensorflow.raw_ops.Sinh() is not the standard method you'd use when working with TensorFlow's high-level API. Instead, TensorFlow provides a high-level wrapper for many of its operations, and for hyperbolic sine (sinh), you'd typically just use tf.sinh().

However, to provide a brief overview:

tensorflow.raw_ops.Sinh() computes hyperbolic sine of x element-wise. This is equivalent to (exp(x)−exp(−x))/2.

Here's a quick example using TensorFlow's tf.sinh():

import tensorflow as tf # Create a tensor x = tf.constant([0.0, 1.0, -1.0], dtype=tf.float32) # Compute the hyperbolic sine result = tf.sinh(x) # Run and print the result print(result.numpy())

This will output something like:

[0. 1.1752012 -1.1752012]

If you're working with TensorFlow and want to compute the hyperbolic sine, it's recommended to use tf.sinh() instead of delving into tensorflow.raw_ops, unless you have a specific reason to work at that level of the API.

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