Python - tensorflow.IndexedSlices.dense_shape Attribute

Python - tensorflow.IndexedSlices.dtype Attribute

Last Updated : 20 Jul, 2020

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

dtype is used to find the type of values in Tensor.

Syntax: tensorflow.IndexedSlices.dtype

Returns: It returns the dtype of elements in the tensor.

Example 1:

Python3

# Importing the library
import tensorflow as tf

# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]])

# Printing the input
print('data: ', data)

# Calculating result
res = tf.IndexedSlices(data, [0])

# Finding dtype 
dtype = res.dtype

# Printing the result
print('dtype: ', dtype)

Output:

data:  tf.Tensor(
[[1 2 3]
 [4 5 6]], shape=(2, 3), dtype=int32)
dtype:  <dtype: 'int32'>

Example 2:

Python3

# Importing the library
import tensorflow as tf

# Initializing the input
data = tf.constant([[1, 2, 3], [4, 5, 6]], dtype = tf.float32)

# Printing the input
print('data: ', data)

# Calculating result
res = tf.IndexedSlices(data, [0])

# Finding dtype 
dtype = res.dtype

# Printing the result
print('dtype: ', dtype)

Output:

data:  tf.Tensor(
[[1. 2. 3.]
 [4. 5. 6.]], shape=(2, 3), dtype=float32)
dtype:  <dtype: 'float32'>

Python - tensorflow.IndexedSlices.dense_shape Attribute

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