tf.compat.v1.lookup.StaticHashTable

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A generic hash table that is immutable once initialized.

Inherits From: StaticHashTable

tf.compat.v1.lookup.StaticHashTable(
    initializer, default_value, name=None
)

When running in graph mode, you must evaluate the tensor returned by tf.tables_initializer() before evaluating the tensor returned by this class's lookup() method. Example usage in graph mode:

keys_tensor = tf.constant([1, 2])
vals_tensor = tf.constant([3, 4])
input_tensor = tf.constant([1, 5])
table = tf.lookup.StaticHashTable(
    tf.lookup.KeyValueTensorInitializer(keys_tensor, vals_tensor), -1)
out = table.lookup(input_tensor)
with tf.Session() as sess:
    sess.run(tf.tables_initializer())
    print(sess.run(out))

In eager mode, no special code is needed to initialize the table. Example usage in eager mode:

tf.enable_eager_execution()
keys_tensor = tf.constant([1, 2])
vals_tensor = tf.constant([3, 4])
input_tensor = tf.constant([1, 5])
table = tf.lookup.StaticHashTable(
    tf.lookup.KeyValueTensorInitializer(keys_tensor, vals_tensor), -1)
print(table.lookup(input_tensor))

Args:

• initializer: The table initializer to use. See HashTable kernel for supported key and value types.
• default_value: The value to use if a key is missing in the table.
• name: A name for the operation (optional).

Attributes:

• default_value: The default value of the table.
• initializer
• key_dtype: The table key dtype.
• name: The name of the table.
• resource_handle: Returns the resource handle associated with this Resource.
• value_dtype: The table value dtype.

Methods

export

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export(
    name=None
)

Returns tensors of all keys and values in the table.

Args:

• name: A name for the operation (optional).

Returns:

A pair of tensors with the first tensor containing all keys and the second tensors containing all values in the table.

lookup

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lookup(
    keys, name=None
)

Looks up keys in a table, outputs the corresponding values.

The default_value is used for keys not present in the table.

Args:

• keys: Keys to look up. May be either a SparseTensor or dense Tensor.
• name: A name for the operation (optional).

Returns:

A SparseTensor if keys are sparse, otherwise a dense Tensor.

Raises:

• TypeError: when keys or default_value doesn't match the table data types.

size

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size(
    name=None
)

Compute the number of elements in this table.

Args:

• name: A name for the operation (optional).

Returns:

A scalar tensor containing the number of elements in this table.