56 lines
2.0 KiB
Python
56 lines
2.0 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 unpack."""
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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 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_unpack_tests(options):
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"""Make a set of tests to do unpack."""
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test_parameters = [{
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"base_shape": [[3, 4, 3], [3, 4], [5, 6, 7, 8]],
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"axis": [0, 1, 2, 3],
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}]
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def get_valid_axis(parameters):
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"""Return a tweaked version of 'axis'."""
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axis = parameters["axis"]
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shape = parameters["base_shape"][:]
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while axis > len(shape) - 1:
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axis -= 1
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return axis
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def build_graph(parameters):
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input_tensor = tf.placeholder(
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dtype=tf.float32, name=("input"), shape=parameters["base_shape"])
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outs = tf.unstack(input_tensor, axis=get_valid_axis(parameters))
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return [input_tensor], [outs[0]]
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def build_inputs(parameters, sess, inputs, outputs):
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input_value = create_tensor_data(np.float32, shape=parameters["base_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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