81 lines
3.1 KiB
Python
81 lines
3.1 KiB
Python
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Test configs for logic operators."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import tensorflow.compat.v1 as tf
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from tensorflow.lite.testing.zip_test_utils import create_tensor_data
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from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
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from tensorflow.lite.testing.zip_test_utils import register_make_test_function
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def _make_logical_tests(op):
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"""Make a set of tests to do logical operations."""
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def logical(options, expected_tf_failures=0):
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"""Generate examples."""
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test_parameters = [{
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"input_shape_pair": [([], []), ([1, 1, 1, 3], [1, 1, 1, 3]),
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([2, 3, 4, 5], [2, 3, 4, 5]), ([2, 3, 3], [2, 3]),
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([5, 5], [1]), ([10], [2, 4, 10])],
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}]
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def build_graph(parameters):
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"""Build the logical testing graph."""
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input_value1 = tf.compat.v1.placeholder(
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dtype=tf.bool, name="input1", shape=parameters["input_shape_pair"][0])
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input_value2 = tf.compat.v1.placeholder(
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dtype=tf.bool, name="input2", shape=parameters["input_shape_pair"][1])
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out = op(input_value1, input_value2)
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return [input_value1, input_value2], [out]
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def build_inputs(parameters, sess, inputs, outputs):
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input_value1 = create_tensor_data(tf.bool,
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parameters["input_shape_pair"][0])
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input_value2 = create_tensor_data(tf.bool,
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parameters["input_shape_pair"][1])
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return [input_value1, input_value2], sess.run(
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outputs, feed_dict=dict(zip(inputs, [input_value1, input_value2])))
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make_zip_of_tests(
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options,
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test_parameters,
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build_graph,
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build_inputs,
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expected_tf_failures=expected_tf_failures)
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return logical
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@register_make_test_function()
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def make_logical_or_tests(options):
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"""Make a set of tests to do logical_or."""
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return _make_logical_tests(tf.logical_or)(options, expected_tf_failures=1)
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@register_make_test_function()
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def make_logical_and_tests(options):
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"""Make a set of tests to do logical_and."""
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return _make_logical_tests(tf.logical_and)(options, expected_tf_failures=1)
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@register_make_test_function()
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def make_logical_xor_tests(options):
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"""Make a set of tests to do logical_xor, test logical_not as well."""
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return _make_logical_tests(tf.math.logical_xor)(
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options, expected_tf_failures=1)
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