55 lines
2.1 KiB
Python
55 lines
2.1 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 leaky_relu."""
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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 numpy as np
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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_leaky_relu_tests(options):
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"""Make a set of tests to do LeakyRelu."""
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test_parameters = [{
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"input_shape": [[], [1], [5], [1, 10, 10, 3], [3, 3, 3, 3]],
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"alpha": [0.1, 1.0, 2.0, -0.1, -1.0, -2.0],
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"fully_quantize": [False, True],
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"input_range": [(-3, 10)],
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"quant_16x8": [False, True],
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}]
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def build_graph(parameters):
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"""Build the graph for the test case."""
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input_tensor = tf.compat.v1.placeholder(
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dtype=tf.float32, name="input", shape=parameters["input_shape"])
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out = tf.nn.leaky_relu(input_tensor, alpha=parameters["alpha"])
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return [input_tensor], [out]
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def build_inputs(parameters, sess, inputs, outputs):
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"""Build the inputs for the test case."""
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input_values = create_tensor_data(
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np.float32, parameters["input_shape"], min_value=-3, max_value=10)
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return [input_values], sess.run(
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outputs, feed_dict=dict(zip(inputs, [input_values])))
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make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
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