| # 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 irfft2d.""" |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| import numpy as np |
| 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_irfft2d_tests(options): |
| """Make a set of tests to do irfft2d.""" |
| |
| test_parameters = [{ |
| "input_dtype": [tf.complex64], |
| "input_shape": [[4, 3]], |
| "fft_length": [[4, 4], [2, 2], [2, 4]] |
| }, { |
| "input_dtype": [tf.complex64], |
| "input_shape": [[3, 8, 5]], |
| "fft_length": [[2, 4], [2, 8], [8, 8]] |
| }, { |
| "input_dtype": [tf.complex64], |
| "input_shape": [[3, 1, 9]], |
| "fft_length": [[1, 8], [1, 16]] |
| }] |
| |
| def build_graph(parameters): |
| input_value = tf.compat.v1.placeholder( |
| dtype=parameters["input_dtype"], |
| name="input", |
| shape=parameters["input_shape"]) |
| outs = tf.signal.irfft2d(input_value, fft_length=parameters["fft_length"]) |
| return [input_value], [outs] |
| |
| def build_inputs(parameters, sess, inputs, outputs): |
| rfft_length = [] |
| rfft_length.append(parameters["input_shape"][-2]) |
| rfft_length.append((parameters["input_shape"][-1] - 1) * 2) |
| rfft_input = create_tensor_data(np.float32, parameters["input_shape"]) |
| rfft_result = np.fft.rfft2(rfft_input, rfft_length) |
| |
| return [rfft_result], sess.run( |
| outputs, feed_dict=dict(zip(inputs, [rfft_result]))) |
| |
| 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) |