diff options
Diffstat (limited to 'delegate/src/test/FullyConnectedTestHelper.hpp')
| -rw-r--r-- | delegate/src/test/FullyConnectedTestHelper.hpp | 26 |
1 files changed, 14 insertions, 12 deletions
diff --git a/delegate/src/test/FullyConnectedTestHelper.hpp b/delegate/src/test/FullyConnectedTestHelper.hpp index 37062c3400..a3f009a863 100644 --- a/delegate/src/test/FullyConnectedTestHelper.hpp +++ b/delegate/src/test/FullyConnectedTestHelper.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2020 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -37,8 +37,9 @@ std::vector<char> CreateFullyConnectedTfLiteModel(tflite::TensorType tensorType, { using namespace tflite; flatbuffers::FlatBufferBuilder flatBufferBuilder; - std::array<flatbuffers::Offset<tflite::Buffer>, 3> buffers; - buffers[0] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector({})); + std::array<flatbuffers::Offset<tflite::Buffer>, 5> buffers; + buffers[0] = CreateBuffer(flatBufferBuilder); + buffers[1] = CreateBuffer(flatBufferBuilder); auto biasTensorType = ::tflite::TensorType_FLOAT32; if (tensorType == ::tflite::TensorType_INT8) @@ -47,14 +48,14 @@ std::vector<char> CreateFullyConnectedTfLiteModel(tflite::TensorType tensorType, } if (constantWeights) { - buffers[1] = CreateBuffer(flatBufferBuilder, + buffers[2] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(weightsData.data()), sizeof(T) * weightsData.size())); if (tensorType == ::tflite::TensorType_INT8) { std::vector<int32_t> biasData = { 10 }; - buffers[2] = CreateBuffer(flatBufferBuilder, + buffers[3] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(biasData.data()), sizeof(int32_t) * biasData.size())); @@ -62,16 +63,17 @@ std::vector<char> CreateFullyConnectedTfLiteModel(tflite::TensorType tensorType, else { std::vector<float> biasData = { 10 }; - buffers[2] = CreateBuffer(flatBufferBuilder, + buffers[3] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector(reinterpret_cast<const uint8_t*>(biasData.data()), sizeof(float) * biasData.size())); } } else { - buffers[1] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector({})); - buffers[2] = CreateBuffer(flatBufferBuilder, flatBufferBuilder.CreateVector({})); + buffers[2] = CreateBuffer(flatBufferBuilder); + buffers[3] = CreateBuffer(flatBufferBuilder); } + buffers[4] = CreateBuffer(flatBufferBuilder); auto quantizationParameters = CreateQuantizationParameters(flatBufferBuilder, @@ -92,21 +94,21 @@ std::vector<char> CreateFullyConnectedTfLiteModel(tflite::TensorType tensorType, flatBufferBuilder.CreateVector<int32_t>(inputTensorShape.data(), inputTensorShape.size()), tensorType, - 0, + 1, flatBufferBuilder.CreateString("input_0"), quantizationParameters); tensors[1] = CreateTensor(flatBufferBuilder, flatBufferBuilder.CreateVector<int32_t>(weightsTensorShape.data(), weightsTensorShape.size()), tensorType, - 1, + 2, flatBufferBuilder.CreateString("weights"), quantizationParameters); tensors[2] = CreateTensor(flatBufferBuilder, flatBufferBuilder.CreateVector<int32_t>(biasTensorShape.data(), biasTensorShape.size()), biasTensorType, - 2, + 3, flatBufferBuilder.CreateString("bias"), quantizationParameters); @@ -114,7 +116,7 @@ std::vector<char> CreateFullyConnectedTfLiteModel(tflite::TensorType tensorType, flatBufferBuilder.CreateVector<int32_t>(outputTensorShape.data(), outputTensorShape.size()), tensorType, - 0, + 4, flatBufferBuilder.CreateString("output"), outputQuantizationParameters); |