tf.contrib.lookup.HashTable

A generic hash table implementation.

tf.contrib.lookup.HashTable(
    initializer, default_value, shared_name=None, name=None
)

Example usage:

table = tf.HashTable(
    tf.KeyValueTensorInitializer(keys, values), -1)
out = table.lookup(input_tensor)
table.init.run()
print(out.eval())

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.
shared_name	If non-empty, this table will be shared under the given name across multiple sessions.
name	A name for the operation (optional).

Attributes
default_value	The default value of the table.
init
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

View source

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

View source

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

View source

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.