# Python – tensorflow.math.lgamma()

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

lgamma() is used to Compute element wise log of absolute value of Gamma(x).

Syntax: tensorflow.math.lgamma( x, name)

Parameters:

• x: It is a tensor. Allowed dtypes are bfloat16, half, float32, float64.
• <

• name(optional): It defines the name of the operation

Returns: It returns a tensor of dtype as x.

Example 1:

## Python3

 `# importing the library ` `import` `tensorflow as tf ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([``7``, ``8``, ``13``, ``11``], dtype ``=` `tf.float64) ` ` `  `# Printing the input tensor ` `print``(``'a: '``, a) ` ` `  `# Calculating the result ` `res ``=` `tf.math.lgamma(a) ` ` `  `# Printing the result ` `print``(``'Result: '``, res) `

Output:

```a:  tf.Tensor([ 7.  8. 13. 11.], shape=(4, ), dtype=float64)
Result:  tf.Tensor([ 6.57925121  8.52516136 19.9872145  15.10441257], shape=(4, ), dtype=float64)

```

Example 2:

## Python3

 `# Importing the libraray ` `import` `tensorflow as tf ` ` `  `# Initializing the input tensor ` `a ``=` `tf.constant([``2``, ``8``, ``14``, ``5``], dtype ``=` `tf.float32) ` ` `  `# Printing the input tensor ` `print``(``'a: '``, a) ` ` `  `# Calculating the result ` `res ``=` `tf.math.lgamma(a) ` ` `  `# Printing the result ` `print``(``'Result: '``, res) `

Output:

```a:  tf.Tensor([ 2.  8. 14.  5.], shape=(4, ), dtype=float32)
Result:  tf.Tensor([ 0.         8.525162  22.552166   3.1780539], shape=(4, ), dtype=float32)```

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