Is there any way to perform a dictionary lookup based on a String tensor in Tensorflow?
In plain Python, I'd do something like
value = dictionary[key]
. Now I'd like to do the same thing at Tensorflow runtime, when I have my key
as a String tensor. Something like
value_tensor = tf.dict_lookup(string_tensor)
would be nice.
If you want to run this with new TF 2.x code with eager execution enabled by default. Below is the quick code snippet.
import tensorflow as tf
# build a lookup table
table = tf.lookup.StaticHashTable(
initializer=tf.lookup.KeyValueTensorInitializer(
keys=tf.constant([0, 1, 2, 3]),
values=tf.constant([10, 11, 12, 13]),
),
default_value=tf.constant(-1),
name="class_weight"
)
# now let us do a lookup
input_tensor = tf.constant([0, 0, 1, 1, 2, 2, 3, 3])
out = table.lookup(input_tensor)
print(out)
Output:
tf.Tensor([10 10 11 11 12 12 13 13], shape=(8,), dtype=int32)
You might find tensorflow.contrib.lookup
helpful:
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/lookup/lookup_ops.py
https://www.tensorflow.org/api_docs/python/tf/contrib/lookup/HashTable
In particular, you can do:
table = tf.contrib.lookup.HashTable(
tf.contrib.lookup.KeyValueTensorInitializer(keys, values), -1
)
out = table.lookup(input_tensor)
table.init.run()
print out.eval()
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