1# Copyright 2021 The TensorFlow Authors. All Rights Reserved. 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================== 15"""Test configs for irfft2d.""" 16from __future__ import absolute_import 17from __future__ import division 18from __future__ import print_function 19 20import numpy as np 21import tensorflow.compat.v1 as tf 22 23from tensorflow.lite.testing.zip_test_utils import create_tensor_data 24from tensorflow.lite.testing.zip_test_utils import ExtraTocoOptions 25from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests 26from tensorflow.lite.testing.zip_test_utils import register_make_test_function 27 28 29@register_make_test_function() 30def make_irfft2d_tests(options): 31 """Make a set of tests to do irfft2d.""" 32 33 test_parameters = [{ 34 "input_dtype": [tf.complex64], 35 "input_shape": [[4, 3]], 36 "fft_length": [[4, 4], [2, 2], [2, 4]] 37 }, { 38 "input_dtype": [tf.complex64], 39 "input_shape": [[3, 8, 5]], 40 "fft_length": [[2, 4], [2, 8], [8, 8]] 41 }, { 42 "input_dtype": [tf.complex64], 43 "input_shape": [[3, 1, 9]], 44 "fft_length": [[1, 8], [1, 16]] 45 }] 46 47 def build_graph(parameters): 48 input_value = tf.compat.v1.placeholder( 49 dtype=parameters["input_dtype"], 50 name="input", 51 shape=parameters["input_shape"]) 52 outs = tf.signal.irfft2d(input_value, fft_length=parameters["fft_length"]) 53 return [input_value], [outs] 54 55 def build_inputs(parameters, sess, inputs, outputs): 56 rfft_length = [] 57 rfft_length.append(parameters["input_shape"][-2]) 58 rfft_length.append((parameters["input_shape"][-1] - 1) * 2) 59 rfft_input = create_tensor_data(np.float32, parameters["input_shape"]) 60 rfft_result = np.fft.rfft2(rfft_input, rfft_length) 61 62 return [rfft_result], sess.run( 63 outputs, feed_dict=dict(zip(inputs, [rfft_result]))) 64 65 extra_toco_options = ExtraTocoOptions() 66 extra_toco_options.allow_custom_ops = True 67 make_zip_of_tests(options, test_parameters, build_graph, build_inputs, 68 extra_toco_options) 69