blob: 668ef374ecb0ea583aff36163d234f49e744e466 [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 tensorflow.compat.v2 as tf
class ResourcesOpsModule(tf.Module):
def __init__(self):
super(ResourcesOpsModule, self).__init__()
self.counter = tf.Variable(0.0)
@tf.function(input_signature=[tf.TensorSpec([], tf.float32)])
def add_assign(self, value):
return self.counter.assign_add(value)
class ResourcesOpsTest(tf_test_utils.TracedModuleTestCase):
def __init__(self, *args, **kwargs):
super(ResourcesOpsTest, self).__init__(*args, **kwargs)
self._modules = tf_test_utils.compile_tf_module(ResourcesOpsModule)
def test_add_assign(self):
def add_assign(module):
module.add_assign(np.array(9., dtype=np.float32))
self.compare_backends(add_assign, 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)