blob: 2ccf8f8f30e2a129cd639e3c589165b7e23a5847 [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.
"""Tests for ops in the tf.math module."""
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 QuantizationModule(tf_test_utils.TestModule):
@tf_test_utils.tf_function_unit_test(
input_signature=[tf.TensorSpec([32], tf.float32)],
input_generator=lambda *args: tf_utils.uniform(*args, low=-6, high=6))
def fake_quant(self, x):
return tf.quantization.fake_quant_with_min_max_args(x,
min=-6,
max=6,
num_bits=8,
narrow_range=False,
name=None)
class QuantizationTest(tf_test_utils.TracedModuleTestCase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._modules = tf_test_utils.compile_tf_module(QuantizationModule)
def main(argv):
del argv # Unused
if hasattr(tf, 'enable_v2_behavior'):
tf.enable_v2_behavior()
QuantizationTest.generate_unit_tests(QuantizationModule)
tf.test.main()
if __name__ == '__main__':
app.run(main)