70 lines
2.5 KiB
Python
70 lines
2.5 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 reverse_sequence."""
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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_reverse_sequence_tests(options):
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"""Make a set of tests to do reverse_sequence."""
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test_parameters = [{
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"input_dtype": [tf.float32, tf.int32, tf.int64],
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"input_shape": [[8, 4, 5, 5, 6], [4, 4, 3, 5]],
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"seq_lengths": [[2, 2, 2, 2], [2, 1, 1, 0]],
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"seq_axis": [0, 3],
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"batch_axis": [1]
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}, {
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"input_dtype": [tf.float32],
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"input_shape": [[2, 4, 5, 5, 6]],
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"seq_lengths": [[2, 1]],
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"seq_axis": [2],
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"batch_axis": [0]
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}, {
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"input_dtype": [tf.float32],
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"input_shape": [[4, 2]],
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"seq_lengths": [[3, 1]],
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"seq_axis": [0],
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"batch_axis": [1]
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}]
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def build_graph(parameters):
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"""Build the graph for reverse_sequence tests."""
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input_value = tf.compat.v1.placeholder(
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dtype=parameters["input_dtype"],
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name="input",
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shape=parameters["input_shape"])
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outs = tf.reverse_sequence(
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input_value,
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seq_lengths=parameters["seq_lengths"],
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batch_axis=parameters["batch_axis"],
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seq_axis=parameters["seq_axis"])
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return [input_value], [outs]
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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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return [input_value], sess.run(
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outputs, feed_dict=dict(zip(inputs, [input_value])))
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make_zip_of_tests(options, test_parameters, build_graph, build_inputs)
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