blob: e223595a45a560e709a9fd8415841ee9cd60c710 [file] [log] [blame]
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from absl import app
import numpy as np
from pyiree.tf.support import tf_test_utils
import string
import tensorflow.compat.v2 as tf
class StringsModule(tf.Module):
"""A Module for converting a set of ids to the concatenated string."""
def __init__(self):
wordparts = [str(c) for c in string.printable]
self.wordparts = tf.constant(wordparts, tf.string)
@tf.function(input_signature=[
tf.TensorSpec((None, None), dtype=tf.int32),
])
def print_ids(self, ids):
string_tensor = tf.strings.as_string(ids)
tf.print(string_tensor)
@tf.function(input_signature=[
tf.TensorSpec((None, None), dtype=tf.int32),
])
def strings_to_ids(self, ids):
wps = tf.gather(self.wordparts, ids)
return tf.strings.reduce_join(wps, 1)
class StringsTest(tf_test_utils.TracedModuleTestCase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._modules = tf_test_utils.compile_tf_module(StringsModule)
def test_print_ids(self):
def print_ids(module):
input_ids = np.asarray(
[[12, 10, 29, 28, 94, 15, 24, 27, 94, 25, 21, 10, 34],
[13, 24, 16, 28, 94, 15, 24, 27, 94, 28, 29, 10, 34]])
module.print_ids(input_ids)
self.compare_backends(print_ids, self._modules)
def test_strings_to_ids(self):
def strings_to_ids(module):
input_ids = np.asarray(
[[12, 10, 29, 28, 94, 15, 24, 27, 94, 25, 21, 10, 34],
[13, 24, 16, 28, 94, 15, 24, 27, 94, 28, 29, 10, 34]])
module.strings_to_ids(input_ids)
self.compare_backends(strings_to_ids, self._modules)
def main(argv):
del argv # Unused
if hasattr(tf, 'enable_v2_behavior'):
tf.enable_v2_behavior()
tf.test.main()
if __name__ == '__main__':
app.run(main)