104 lines
3.6 KiB
Python
104 lines
3.6 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 elementwise ops."""
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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_elementwise_tests(op, allow_fully_quantize=False, min_value=-100,
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max_value=100):
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"""Make a set of tests to do element-wise operations."""
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def f(options):
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"""Actual function that generates examples."""
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test_parameters = [
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{
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"input_dtype": [tf.float32],
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"input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
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"fully_quantize": [False],
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"input_range": [[min_value, max_value]],
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},
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{
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"input_dtype": [tf.float32],
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"input_shape": [[], [1], [1, 2], [5, 6, 7, 8], [3, 4, 5, 6]],
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"fully_quantize": [True],
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"input_range": [[min_value, max_value]],
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},
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]
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if not allow_fully_quantize:
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test_parameters = [
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test_parameter for test_parameter in test_parameters
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if True not in test_parameter["fully_quantize"]
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]
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def build_graph(parameters):
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"""Build the unary op testing graph."""
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input_value = tf.compat.v1.placeholder(
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dtype=parameters["input_dtype"],
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name="input1",
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shape=parameters["input_shape"])
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out = op(input_value)
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return [input_value], [out]
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def build_inputs(parameters, sess, inputs, outputs):
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input_value = create_tensor_data(parameters["input_dtype"],
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parameters["input_shape"],
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min_value=min_value,
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max_value=max_value)
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return [input_value], sess.run(
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outputs, feed_dict={inputs[0]: input_value})
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make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
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return f
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@register_make_test_function()
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def make_sin_tests(options):
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"""Make a set of tests to do sin."""
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return _make_elementwise_tests(tf.sin)(options)
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@register_make_test_function()
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def make_log_tests(options):
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"""Make a set of tests to do log."""
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return _make_elementwise_tests(tf.math.log)(options)
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@register_make_test_function()
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def make_sqrt_tests(options):
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"""Make a set of tests to do sqrt."""
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return _make_elementwise_tests(tf.sqrt)(options)
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@register_make_test_function()
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def make_rsqrt_tests(options):
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"""Make a set of tests to do 1/sqrt."""
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return _make_elementwise_tests(tf.math.rsqrt, allow_fully_quantize=True,
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min_value=.1, max_value=1)(options)
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@register_make_test_function()
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def make_square_tests(options):
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"""Make a set of tests to do square."""
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return _make_elementwise_tests(tf.square)(options)
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