wehub-resource-sync
90 lines
3.1 KiB
Python
90 lines
3.1 KiB
Python
# Copyright 2021 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 pool operators."""
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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 ExtraConvertOptions
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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_pool3d_tests(pool_op):
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"""Make a set of tests to do pooling.
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Args:
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pool_op: TensorFlow pooling operation to test i.e. `tf.nn.max_pool3d`.
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Returns:
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A function representing the true generator (after curried pool_op).
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"""
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def f(options, expected_tf_failures=0):
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"""Actual function that generates examples.
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Args:
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options: An Options instance.
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expected_tf_failures: number of expected tensorflow failures.
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"""
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# Chose a set of parameters
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test_parameters = [
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{
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"ksize": [[1, 1, 1, 1, 1], [1, 2, 2, 2, 1], [1, 2, 3, 4, 1]],
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"strides": [[1, 1, 1, 1, 1], [1, 2, 1, 2, 1], [1, 2, 2, 4, 1]],
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"input_shape": [[1, 1, 1, 1, 1], [1, 16, 15, 14, 1],
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[3, 16, 15, 14, 3]],
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"padding": ["SAME", "VALID"],
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"data_format": ["NDHWC"],
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},
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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=tf.float32, name="input", shape=parameters["input_shape"])
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out = pool_op(
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input_tensor,
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ksize=parameters["ksize"],
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strides=parameters["strides"],
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data_format=parameters["data_format"],
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padding=parameters["padding"])
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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(tf.float32, parameters["input_shape"])
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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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extra_convert_options = ExtraConvertOptions()
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extra_convert_options.allow_custom_ops = True
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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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extra_convert_options,
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expected_tf_failures=expected_tf_failures)
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return f
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@register_make_test_function()
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def make_avg_pool3d_tests(options):
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make_pool3d_tests(tf.nn.avg_pool3d)(options, expected_tf_failures=6)
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@register_make_test_function()
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def make_max_pool3d_tests(options):
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make_pool3d_tests(tf.nn.max_pool3d)(options, expected_tf_failures=6)
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