75 lines
2.6 KiB
Python
75 lines
2.6 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 minimum."""
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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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@register_make_test_function()
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def make_minimum_tests(options):
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"""Make a set of tests to do minimum."""
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test_parameters = [{
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"input_dtype": [tf.float32],
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"input_shape_1": [[], [3], [1, 100], [4, 2, 3], [5, 224, 224, 3],
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[5, 32, 32, 1, 1], [5, 32, 32, 1, 1]],
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"input_shape_2": [[], [3], [1, 100], [4, 2, 3], [5, 224, 224, 3],
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[5, 32, 32, 1, 1], [5, 32, 32, 1, 3]],
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"fully_quantize": [False, True],
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}]
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def build_graph(parameters):
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"""Build the minimum op testing graph."""
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input_tensor_1 = tf.compat.v1.placeholder(
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dtype=parameters["input_dtype"],
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name="input_1",
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shape=parameters["input_shape_1"])
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input_tensor_2 = tf.compat.v1.placeholder(
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dtype=parameters["input_dtype"],
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name="input_2",
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shape=parameters["input_shape_2"])
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out = tf.minimum(input_tensor_1, input_tensor_2)
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return [input_tensor_1, input_tensor_2], [out]
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def build_inputs(parameters, sess, inputs, outputs):
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"""Builds the inputs for the model above."""
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values = [
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create_tensor_data(
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parameters["input_dtype"],
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parameters["input_shape_1"],
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min_value=-1,
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max_value=1),
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create_tensor_data(
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parameters["input_dtype"],
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parameters["input_shape_2"],
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min_value=-1,
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max_value=1)
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]
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return values, sess.run(outputs, feed_dict=dict(zip(inputs, values)))
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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=44)
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