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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://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.
# ==============================================================================
"""Tests for Grappler Constant Folding."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.python.client import session
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import functional_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
class ConstantFoldingTest(test.TestCase):
# See b/76008022.
def testScanInsideWhile(self):
def loop_cond(idx_step, *unused_args):
return idx_step < 1
def loop_body(idx_step, y):
x = array_ops.zeros([10, 20, 30], dtype=dtypes.float32)
x = functional_ops.scan(
math_ops.add,
x,
initializer=array_ops.zeros([20, 30], dtype=dtypes.float32),
back_prop=False,
parallel_iterations=1)
with ops.device('/cpu:0'):
y = array_ops.identity(x)
return idx_step + 1, y
if test.is_gpu_available(cuda_only=True):
init_y = array_ops.zeros([10, 20, 30], dtype=dtypes.float32)
_, y = control_flow_ops.while_loop(
loop_cond,
loop_body,
loop_vars=[0, init_y],
back_prop=False,
parallel_iterations=1)
with session.Session() as sess:
y_v = sess.run(y)
self.assertAllEqual(np.zeros([10, 20, 30]), y_v)
if __name__ == '__main__':
test.main()
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