12.05.2018 · Unfortunately, tf.contrib.lookup.HashTable only works with one dimensional tensors. Here's an implementation with tf.SparseTensors, which of course only works if your keys are integer (int32 or int64) tensors.. For the values I'm storing the two columns in two separate tensors, but if you have many columns, you might want to just store them in a large tensor, and …
Unfortunately, tf.contrib.lookup.HashTable only works with one dimensional tensors. Here's an implementation with tf.SparseTensors, which of course only ...
Creates a non-initialized HashTable object. Creates a table, the type of its keys and values are specified by the initializer. Before using the table you will have to initialize it. After initialization the table will be immutable. Args: initializer: The table initializer to use. See HashTable kernel for supported key and value types.
12.06.2019 · System information. Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Yes OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 18.04.2 LTS (Bionic Beaver) Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: No; TensorFlow installed from (source or …
17.02.2021 · ERROR line 62:23: Using member tf.contrib.lookup.HashTable in deprecated module tf.contrib. tf.contrib.lookup.HashTable cannot be converted automatically. tf.contrib will not be distributed with TensorFlow 2.0, please consider an alternative in non-contrib TensorFlow, a community-maintained repository such as tensorflow/addons, or fork the ...
TensorFlow 2.4 English · tf.lookup. tf.lookup.StaticHashTable. View source on GitHub. A generic hash table that is immutable once initialized. tf.lookup.
HashTable. Creates a non-initialized hash table. This op creates a hash table, specifying the type of its keys and values. Before using the table you will have to initialize it. After initialization the table will be immutable.