def string_to_hash_bucket(input, num_buckets, name=None):
# pylint: disable=line-too-long
r"""Converts each string in the input Tensor to its hash mod by a number of buckets.
The hash function is deterministic on the content of the string within the
process.
Note that the hash function may change from time to time.
This functionality will be deprecated and it's recommended to use
`tf.strings.to_hash_bucket_fast()` or `tf.strings.to_hash_bucket_strong()`.
Examples:
>>> tf.strings.to_hash_bucket(["Hello", "TensorFlow", "2.x"], 3)
<tf.Tensor: shape=(3,), dtype=int64, numpy=array([2, 0, 1])>
Args:
input: A `Tensor` of type `string`.
num_buckets: An `int` that is `>= 1`. The number of buckets.
name: A name for the operation (optional).
Returns:
A `Tensor` of type `int64`.
"""
# pylint: enable=line-too-long
return gen_string_ops.string_to_hash_bucket(input, num_buckets, name)
def string_to_hash_bucket_v1(string_tensor=None,
num_buckets=None,
name=None,
input=None):
string_tensor = deprecation.deprecated_argument_lookup(
"input", input, "string_tensor", string_tensor)
return gen_string_ops.string_to_hash_bucket(string_tensor, num_buckets,
name)
def string_to_hash_bucket_v1(
string_tensor=None,
num_buckets=None,
name=None,
input=None):
string_tensor = deprecation.deprecated_argument_lookup(
"input", input, "string_tensor", string_tensor)
return gen_string_ops.string_to_hash_bucket(string_tensor, num_buckets, name)
def string_to_hash_bucket_v1( # pylint: disable=missing-function-docstring
string_tensor=None,
num_buckets=None,
name=None,
input=None):
string_tensor = deprecation.deprecated_argument_lookup(
"input", input, "string_tensor", string_tensor)
return gen_string_ops.string_to_hash_bucket(string_tensor, num_buckets,
name)
def string_to_hash_bucket(input, num_buckets, name=None):
# pylint: disable=line-too-long
r"""Converts each string in the input Tensor to its hash mod by a number of buckets.
The hash function is deterministic on the content of the string within the
process.
Note that the hash function may change from time to time.
This functionality will be deprecated and it's recommended to use
`tf.string_to_hash_bucket_fast()` or `tf.string_to_hash_bucket_strong()`.
Args:
input: A `Tensor` of type `string`.
num_buckets: An `int` that is `>= 1`. The number of buckets.
name: A name for the operation (optional).
Returns:
A `Tensor` of type `int64`.
"""
# pylint: enable=line-too-long
return gen_string_ops.string_to_hash_bucket(input, num_buckets, name)
