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
import tensorflow as tf
data = tf.constant([[ 1 , 2 , 3 ], [ 4 , 5 , 6 ]])
print ( 'data: ' , data)
res = tf.IndexedSlices(data, [ 0 ])
dtype = res.dtype
print ( 'dtype: ' , dtype)
|
Output:
data: tf.Tensor(
[[1 2 3]
[4 5 6]], shape=(2, 3), dtype=int32)
dtype: <dtype: 'int32'>
Example 2:
Python3
import tensorflow as tf
data = tf.constant([[ 1 , 2 , 3 ], [ 4 , 5 , 6 ]], dtype = tf.float32)
print ( 'data: ' , data)
res = tf.IndexedSlices(data, [ 0 ])
dtype = res.dtype
print ( 'dtype: ' , dtype)
|
Output:
data: tf.Tensor(
[[1. 2. 3.]
[4. 5. 6.]], shape=(2, 3), dtype=float32)
dtype: <dtype: 'float32'>
Like Article
Suggest improvement
Share your thoughts in the comments
Please Login to comment...