Python - tensorflow.raw_ops.Log() Last Updated : 06 Mar, 2023 Comments Improve Suggest changes Like Article Like Report TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Log() is used to find element wise logarithm of x. Syntax: tf.raw_ops.Log(x, name) Parameters: x: It's the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, complex64, complex128. name(optional): It defines the name for the operation. Returns: It returns a tensor of same dtype as x. Note: It only takes keyword arguments. Example 1: Python3 # Importing the library import tensorflow as tf # Initializing the input tensor a = tf.constant([1, 2, 3, 4, 5], dtype = tf.float64) # Printing the input tensor print('Input: ', a) # Calculating logarithm res = tf.raw_ops.Log(x = a) # Printing the result print('Result: ', res) Output: Input: tf.Tensor([1. 2. 3. 4. 5.], shape=(5, ), dtype=float64) Result: tf.Tensor([0. 0.69314718 1.09861229 1.38629436 1.60943791], shape=(5, ), dtype=float64) Example 2: Visualization Python3 # importing the library import tensorflow as tf import matplotlib.pyplot as plt # Initializing the input tensor a = tf.constant([1, 2, 3, 4, 5], dtype = tf.float64) # Calculating logarithm res = tf.raw_ops.Log(x = a) # Plotting the graph plt.plot(a, res, color ='green') plt.title('tensorflow.raw_ops.Log') plt.xlabel('Input') plt.ylabel('Result') plt.show() Output: Comment More infoAdvertise with us Next Article Python - tensorflow.raw_ops.Log() A aman neekhara Follow Improve Article Tags : Python Python-Tensorflow Practice Tags : python Similar Reads Python - tensorflow.raw_ops.Log1p() TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning  neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Log1p() is used to find element wise logarithm of (1+x) for input x. Syntax: tf.raw_ops.Log1p( 2 min read Python - tensorflow.raw_ops.Cos() TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning  neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Cos() is used to find element wise cosine of x. Syntax: tf.raw_ops.Cos(x, name) Parameters: x 2 min read Python - tensorflow.raw_ops.Acos() TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning  neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Acos() is used to find element wise acos of x. Syntax: tf.raw_ops.Acos(x, name) Arguments: x: 1 min read Python - tensorflow.raw_ops.Cosh() TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning  neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Cosh() is used to find element wise hyperbolic cosine of x. Syntax: tf.raw_ops.Cosh(x, name) P 2 min read Python - tensorflow.raw_ops.Exp() TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning  neural networks. TensorFlow raw_ops provides low level access to all TensorFlow operations. Exp() is used to find element wise exponential of x. For complex numbers e^(x+iy) = e^x * e^iy 2 min read Like