blob: df2d387ef2b378097addf080d870f1b5e5d79f33 [file] [log] [blame]
# Lint as: python3
# 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.
"""Test broadcasting support."""
from absl import app
import numpy as np
from pyiree.tf.support import tf_test_utils
from pyiree.tf.support import tf_utils
import tensorflow.compat.v2 as tf
class BroadcastingModule(tf.Module):
@tf.function(input_signature=[
tf.TensorSpec([None], tf.float32),
tf.TensorSpec([None], tf.float32),
])
def add(self, lhs, rhs):
return lhs + rhs
class BroadcastingTest(tf_test_utils.TracedModuleTestCase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._modules = tf_test_utils.compile_tf_module(BroadcastingModule)
def test_add_same_shape(self):
def add_same_shape(module):
lhs = tf_utils.uniform([4])
rhs = tf_utils.uniform([4])
module.add(lhs, rhs)
self.compare_backends(add_same_shape, self._modules)
def test_add_broadcast_lhs(self):
def add_broadcast_lhs(module):
lhs = tf_utils.uniform([1])
rhs = tf_utils.uniform([4])
module.add(lhs, rhs)
self.compare_backends(add_broadcast_lhs, self._modules)
def test_add_broadcast_rhs(self):
def add_broadcast_rhs(module):
lhs = tf_utils.uniform([4])
rhs = tf_utils.uniform([1])
module.add(lhs, rhs)
self.compare_backends(add_broadcast_rhs, 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)