| # Copyright 2020 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 stft.""" |
| 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 |
| |
| |
| @register_make_test_function() |
| def make_stft_tests(options): |
| """Make a set of tests to do rfft2d.""" |
| |
| test_parameters = [{ |
| "input_dtype": [tf.float32], |
| "input_shape": [[8], [8, 16], [3, 1, 4]], |
| "frame_length": [4, 8], |
| "frame_step": [1, 2, 4], |
| "fft_length": [None, 2, 4, 8], |
| }] |
| |
| def build_graph(parameters): |
| input_value = tf.compat.v1.placeholder( |
| dtype=parameters["input_dtype"], |
| name="input", |
| shape=parameters["input_shape"]) |
| outs = tf.signal.stft( |
| input_value, |
| frame_length=parameters["frame_length"], |
| frame_step=parameters["frame_step"], |
| fft_length=parameters["fft_length"]) |
| return [input_value], [outs] |
| |
| def build_inputs(parameters, sess, inputs, outputs): |
| input_value = create_tensor_data(parameters["input_dtype"], |
| parameters["input_shape"]) |
| return [input_value], sess.run( |
| outputs, feed_dict=dict(zip(inputs, [input_value]))) |
| |
| extra_toco_options = ExtraTocoOptions() |
| make_zip_of_tests(options, test_parameters, build_graph, build_inputs, |
| extra_toco_options) |