98 lines
3.4 KiB
Python
98 lines
3.4 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 squeeze."""
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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_squeeze_tests(options):
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"""Make a set of tests to do squeeze."""
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test_parameters = [{
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"dtype": [tf.int32, tf.float32, tf.int64],
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"input_shape": [[1, 2, 1, 3, 1, 4, 1, 1]],
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"axis": [
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None, [], [0, 2], [4, 7], [-1, 0, 2, 0, 7, -6], [1], [2, 3, 2],
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[-1, -2, -4, -6, -8], [0, 2, 4, 6, 7], [7, 6, 4, 2, 0], [6, 6],
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[0, 1, 2, 3, 4, 5, 6, 7], [-2, -3, 1, 0, 7, -5]
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],
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"fully_quantize": [False],
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}, {
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"dtype": [tf.int32, tf.float32, tf.int64],
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"input_shape": [[1]],
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"axis": [None, [], [0], [-1]],
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"fully_quantize": [False],
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}, {
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"dtype": [tf.int32, tf.float32, tf.int64],
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"input_shape": [[1, 1, 1, 1, 1]],
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"axis": [None, [], [0], [3, 0], [-2, 0, 3, 2]],
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"fully_quantize": [False],
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}, {
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"dtype": [tf.float32],
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"input_shape": [[1, 2, 1, 3, 1, 4, 1, 1]],
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"axis": [
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None, [], [0, 2], [4, 7], [-1, 0, 2, 0, 7, -6], [1], [2, 3, 2],
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[-1, -2, -4, -6, -8], [0, 2, 4, 6, 7], [7, 6, 4, 2, 0], [6, 6],
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[0, 1, 2, 3, 4, 5, 6, 7], [-2, -3, 1, 0, 7, -5]
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],
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"fully_quantize": [True],
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}, {
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"dtype": [tf.float32],
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"input_shape": [[1, 1, 1, 1, 1]],
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"axis": [[0], [3, 0], [-2, 0, 3, 2]],
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"fully_quantize": [True],
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}, {
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"dtype": [tf.float32],
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"input_shape": [[1, 1, 5, 10], [1, 5, 1, 10], [5, 1, 10]],
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"axis": [[0], [1], [3, 0], [-2, 0, 3, 2]],
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"fully_quantize": [True],
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}, {
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"dtype": [tf.string],
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"input_shape": [[1, 1, 5, 10], [1, 5, 1, 10]],
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"axis": [[0], []],
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"fully_quantize": [False],
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}]
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def build_graph(parameters):
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input_tensor = tf.compat.v1.placeholder(
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dtype=parameters["dtype"],
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name="input",
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shape=parameters["input_shape"])
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out = tf.squeeze(input_tensor, axis=parameters["axis"])
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return [input_tensor], [out]
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def build_inputs(parameters, sess, inputs, outputs):
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input_values = create_tensor_data(
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parameters["dtype"],
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parameters["input_shape"],
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min_value=-1,
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max_value=1)
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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(
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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=24)
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