| # Copyright 2021 The TensorFlow Authors. All Rights Reserved. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # ============================================================================== |
| """Test configs for pool operators.""" |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| import tensorflow.compat.v1 as tf |
| from tensorflow.lite.testing.zip_test_utils import create_tensor_data |
| from tensorflow.lite.testing.zip_test_utils import ExtraTocoOptions |
| from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests |
| from tensorflow.lite.testing.zip_test_utils import register_make_test_function |
| |
| |
| def make_pool3d_tests(pool_op): |
| """Make a set of tests to do pooling. |
| |
| Args: |
| pool_op: TensorFlow pooling operation to test i.e. `tf.nn.max_pool3d`. |
| |
| Returns: |
| A function representing the true generator (after curried pool_op). |
| """ |
| |
| def f(options, expected_tf_failures=0): |
| """Actual function that generates examples. |
| |
| Args: |
| options: An Options instance. |
| expected_tf_failures: number of expected tensorflow failures. |
| """ |
| |
| # Chose a set of parameters |
| test_parameters = [ |
| { |
| "ksize": [[1, 1, 1, 1, 1], [1, 2, 2, 2, 1], [1, 2, 3, 4, 1]], |
| "strides": [[1, 1, 1, 1, 1], [1, 2, 1, 2, 1], [1, 2, 2, 4, 1]], |
| "input_shape": [[1, 1, 1, 1, 1], [1, 16, 15, 14, 1], |
| [3, 16, 15, 14, 3]], |
| "padding": ["SAME", "VALID"], |
| "data_format": ["NDHWC"], |
| }, |
| ] |
| |
| def build_graph(parameters): |
| input_tensor = tf.compat.v1.placeholder( |
| dtype=tf.float32, name="input", shape=parameters["input_shape"]) |
| out = pool_op( |
| input_tensor, |
| ksize=parameters["ksize"], |
| strides=parameters["strides"], |
| data_format=parameters["data_format"], |
| padding=parameters["padding"]) |
| return [input_tensor], [out] |
| |
| def build_inputs(parameters, sess, inputs, outputs): |
| input_values = create_tensor_data(tf.float32, parameters["input_shape"]) |
| return [input_values], sess.run( |
| outputs, feed_dict=dict(zip(inputs, [input_values]))) |
| |
| extra_toco_options = ExtraTocoOptions() |
| extra_toco_options.allow_custom_ops = True |
| make_zip_of_tests( |
| options, |
| test_parameters, |
| build_graph, |
| build_inputs, |
| extra_toco_options, |
| expected_tf_failures=expected_tf_failures) |
| |
| return f |
| |
| |
| @register_make_test_function() |
| def make_avg_pool3d_tests(options): |
| make_pool3d_tests(tf.nn.avg_pool3d)(options, expected_tf_failures=6) |
| |
| |
| @register_make_test_function() |
| def make_max_pool3d_tests(options): |
| make_pool3d_tests(tf.nn.max_pool3d)(options, expected_tf_failures=6) |