alexander | 3c79893 | 2021-03-26 21:42:19 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2021 Arm Limited. All rights reserved. |
| 3 | * SPDX-License-Identifier: Apache-2.0 |
| 4 | * |
| 5 | * Licensed under the Apache License, Version 2.0 (the "License"); |
| 6 | * you may not use this file except in compliance with the License. |
| 7 | * You may obtain a copy of the License at |
| 8 | * |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | * |
| 11 | * Unless required by applicable law or agreed to in writing, software |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | * See the License for the specific language governing permissions and |
| 15 | * limitations under the License. |
| 16 | */ |
| 17 | #include "Wav2LetterPostprocess.hpp" |
| 18 | #include "Wav2LetterModel.hpp" |
| 19 | |
| 20 | #include <algorithm> |
| 21 | #include <catch.hpp> |
| 22 | #include <limits> |
| 23 | |
| 24 | template <typename T> |
| 25 | static TfLiteTensor GetTestTensor(std::vector <int>& shape, |
| 26 | T initVal, |
| 27 | std::vector<T>& vectorBuf) |
| 28 | { |
| 29 | REQUIRE(0 != shape.size()); |
| 30 | |
| 31 | shape.insert(shape.begin(), shape.size()); |
| 32 | uint32_t sizeInBytes = sizeof(T); |
| 33 | for (size_t i = 1; i < shape.size(); ++i) { |
| 34 | sizeInBytes *= shape[i]; |
| 35 | } |
| 36 | |
| 37 | /* Allocate mem. */ |
| 38 | vectorBuf = std::vector<T>(sizeInBytes, initVal); |
| 39 | TfLiteIntArray* dims = tflite::testing::IntArrayFromInts(shape.data()); |
| 40 | return tflite::testing::CreateQuantizedTensor( |
| 41 | vectorBuf.data(), dims, |
| 42 | 1, 0, "test-tensor"); |
| 43 | } |
| 44 | |
| 45 | TEST_CASE("Checking return value") |
| 46 | { |
| 47 | SECTION("Mismatched post processing parameters and tensor size") |
| 48 | { |
| 49 | const uint32_t ctxLen = 5; |
| 50 | const uint32_t innerLen = 3; |
| 51 | arm::app::audio::asr::Postprocess post{ctxLen, innerLen, 0}; |
| 52 | |
| 53 | std::vector <int> tensorShape = {1, 1, 1, 13}; |
| 54 | std::vector <int8_t> tensorVec; |
| 55 | TfLiteTensor tensor = GetTestTensor<int8_t>( |
| 56 | tensorShape, 100, tensorVec); |
| 57 | REQUIRE(false == post.Invoke(&tensor, arm::app::Wav2LetterModel::ms_outputRowsIdx, false)); |
| 58 | } |
| 59 | |
| 60 | SECTION("Post processing succeeds") |
| 61 | { |
| 62 | const uint32_t ctxLen = 5; |
| 63 | const uint32_t innerLen = 3; |
| 64 | arm::app::audio::asr::Postprocess post{ctxLen, innerLen, 0}; |
| 65 | |
| 66 | std::vector <int> tensorShape = {1, 1, 13, 1}; |
| 67 | std::vector <int8_t> tensorVec; |
| 68 | TfLiteTensor tensor = GetTestTensor<int8_t>( |
| 69 | tensorShape, 100, tensorVec); |
| 70 | |
| 71 | /* Copy elements to compare later. */ |
| 72 | std::vector <int8_t> originalVec = tensorVec; |
| 73 | |
| 74 | /* This step should not erase anything. */ |
| 75 | REQUIRE(true == post.Invoke(&tensor, arm::app::Wav2LetterModel::ms_outputRowsIdx, false)); |
| 76 | } |
| 77 | } |
| 78 | |
| 79 | TEST_CASE("Postprocessing - erasing required elements") |
| 80 | { |
| 81 | constexpr uint32_t ctxLen = 5; |
| 82 | constexpr uint32_t innerLen = 3; |
| 83 | constexpr uint32_t nRows = 2*ctxLen + innerLen; |
| 84 | constexpr uint32_t nCols = 10; |
| 85 | constexpr uint32_t blankTokenIdx = nCols - 1; |
| 86 | std::vector <int> tensorShape = {1, 1, nRows, nCols}; |
| 87 | |
| 88 | SECTION("First and last iteration") |
| 89 | { |
| 90 | arm::app::audio::asr::Postprocess post{ctxLen, innerLen, blankTokenIdx}; |
| 91 | std::vector <int8_t> tensorVec; |
| 92 | TfLiteTensor tensor = GetTestTensor<int8_t>( |
| 93 | tensorShape, 100, tensorVec); |
| 94 | |
| 95 | /* Copy elements to compare later. */ |
| 96 | std::vector <int8_t> originalVec = tensorVec; |
| 97 | |
| 98 | /* This step should not erase anything. */ |
| 99 | REQUIRE(true == post.Invoke(&tensor, arm::app::Wav2LetterModel::ms_outputRowsIdx, true)); |
| 100 | REQUIRE(originalVec == tensorVec); |
| 101 | } |
| 102 | |
| 103 | SECTION("Right context erase") |
| 104 | { |
| 105 | arm::app::audio::asr::Postprocess post{ctxLen, innerLen, blankTokenIdx}; |
| 106 | |
| 107 | std::vector <int8_t> tensorVec; |
| 108 | TfLiteTensor tensor = GetTestTensor<int8_t>( |
| 109 | tensorShape, 100, tensorVec); |
| 110 | |
| 111 | /* Copy elements to compare later. */ |
| 112 | std::vector <int8_t> originalVec = tensorVec; |
| 113 | |
| 114 | /* This step should erase the right context only. */ |
| 115 | REQUIRE(true == post.Invoke(&tensor, arm::app::Wav2LetterModel::ms_outputRowsIdx, false)); |
| 116 | REQUIRE(originalVec != tensorVec); |
| 117 | |
| 118 | /* The last ctxLen * 10 elements should be gone. */ |
| 119 | for (size_t i = 0; i < ctxLen; ++i) { |
| 120 | for (size_t j = 0; j < nCols; ++j) { |
| 121 | /* Check right context elements are zeroed. */ |
| 122 | if (j == blankTokenIdx) { |
| 123 | CHECK(tensorVec[(ctxLen + innerLen) * nCols + i*nCols + j] == 1); |
| 124 | } else { |
| 125 | CHECK(tensorVec[(ctxLen + innerLen) * nCols + i*nCols + j] == 0); |
| 126 | } |
| 127 | |
| 128 | /* Check left context is preserved. */ |
| 129 | CHECK(tensorVec[i*nCols + j] == originalVec[i*nCols + j]); |
| 130 | } |
| 131 | } |
| 132 | |
| 133 | /* Check inner elements are preserved. */ |
| 134 | for (size_t i = ctxLen * nCols; i < (ctxLen + innerLen) * nCols; ++i) { |
| 135 | CHECK(tensorVec[i] == originalVec[i]); |
| 136 | } |
| 137 | } |
| 138 | |
| 139 | SECTION("Left and right context erase") |
| 140 | { |
| 141 | arm::app::audio::asr::Postprocess post{ctxLen, innerLen, blankTokenIdx}; |
| 142 | |
| 143 | std::vector <int8_t> tensorVec; |
| 144 | TfLiteTensor tensor = GetTestTensor<int8_t>(tensorShape, 100, tensorVec); |
| 145 | |
| 146 | /* Copy elements to compare later. */ |
| 147 | std::vector <int8_t> originalVec = tensorVec; |
| 148 | |
| 149 | /* This step should erase right context. */ |
| 150 | REQUIRE(true == post.Invoke(&tensor, arm::app::Wav2LetterModel::ms_outputRowsIdx, false)); |
| 151 | |
| 152 | /* Calling it the second time should erase the left context. */ |
| 153 | REQUIRE(true == post.Invoke(&tensor, arm::app::Wav2LetterModel::ms_outputRowsIdx, false)); |
| 154 | |
| 155 | REQUIRE(originalVec != tensorVec); |
| 156 | |
| 157 | /* The first and last ctxLen * 10 elements should be gone. */ |
| 158 | for (size_t i = 0; i < ctxLen; ++i) { |
| 159 | for (size_t j = 0; j < nCols; ++j) { |
| 160 | /* Check left and right context elements are zeroed. */ |
| 161 | if (j == blankTokenIdx) { |
| 162 | CHECK(tensorVec[(ctxLen + innerLen) * nCols + i * nCols + j] == 1); |
| 163 | CHECK(tensorVec[i * nCols + j] == 1); |
| 164 | } else { |
| 165 | CHECK(tensorVec[(ctxLen + innerLen) * nCols + i * nCols + j] == 0); |
| 166 | CHECK(tensorVec[i * nCols + j] == 0); |
| 167 | } |
| 168 | } |
| 169 | } |
| 170 | |
| 171 | /* Check inner elements are preserved. */ |
| 172 | for (size_t i = ctxLen * nCols; i < (ctxLen + innerLen) * nCols; ++i) { |
| 173 | /* Check left context is preserved. */ |
| 174 | CHECK(tensorVec[i] == originalVec[i]); |
| 175 | } |
| 176 | } |
| 177 | |
| 178 | SECTION("Try left context erase") |
| 179 | { |
| 180 | /* Should not be able to erase the left context if it is the first iteration. */ |
| 181 | arm::app::audio::asr::Postprocess post{ctxLen, innerLen, blankTokenIdx}; |
| 182 | |
| 183 | std::vector <int8_t> tensorVec; |
| 184 | TfLiteTensor tensor = GetTestTensor<int8_t>( |
| 185 | tensorShape, 100, tensorVec); |
| 186 | |
| 187 | /* Copy elements to compare later. */ |
| 188 | std::vector <int8_t> originalVec = tensorVec; |
| 189 | |
| 190 | /* Calling it the second time should erase the left context. */ |
| 191 | REQUIRE(true == post.Invoke(&tensor, arm::app::Wav2LetterModel::ms_outputRowsIdx, true)); |
| 192 | REQUIRE(originalVec == tensorVec); |
| 193 | } |
| 194 | } |