Python – tensorflow.IndexedSlices.dense_shape Attribute
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
dense_shape returns a 1-D tensor containing the shape of the corresponding dense tensor.
Syntax: tensorflow.IndexedSlices.dense_shape
Returns: It returns a 1-D Tensor.
Example 1:
Python3
# Importing the libraryimport tensorflow as tf # Initializing the inputdata = tf.constant([1, 2, 3]) # Printing the inputprint('data: ', data) # Calculating resultres = tf.IndexedSlices(data, [0], 2) # Finding dense shapedense = res.dense_shape # Printing the resultprint('dense shape: ', dense) |
Output:
data: tf.Tensor([1 2 3], shape=(3, ), dtype=int32) dense shape: 2
Example 2:
Python3
# Importing the libraryimport tensorflow as tf # Initializing the inputdata = tf.constant([1, 2, 3]) # Printing the inputprint('data: ', data) # Calculating resultres = tf.IndexedSlices(data, [0]) # Finding dense shapedense = res.dense_shape # Printing the resultprint('dense shape: ', dense) |
Output:
data: tf.Tensor([1 2 3], shape=(3, ), dtype=int32) dense shape: None
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