blob: 3bf41cfee9dffeefaa0794c951fc7cc749206420 [file] [log] [blame]
# Copyright 2020 The IREE Authors
#
# Licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
from absl import app
from iree.tf.support import tf_test_utils
import numpy as np
import tensorflow.compat.v2 as tf
class ResourcesOpsModule(tf.Module):
def __init__(self):
super().__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)
@tf.function(input_signature=[tf.TensorSpec([], tf.float32)])
def set_value(self, new_value):
self.counter.assign(new_value)
@tf.function(input_signature=[])
def get_value(self):
return self.counter
class ResourcesOpsTest(tf_test_utils.TracedModuleTestCase):
def __init__(self, *args, **kwargs):
super().__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 test_assign_get(self):
def assign_get(module):
module.set_value(np.array(9., dtype=np.float32))
return module.get_value()
self.compare_backends(assign_get, 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)