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Diffstat (limited to 'tools/nnapi_quickcheck/tests/concat_1.cpp')
| -rw-r--r-- | tools/nnapi_quickcheck/tests/concat_1.cpp | 161 |
1 files changed, 0 insertions, 161 deletions
diff --git a/tools/nnapi_quickcheck/tests/concat_1.cpp b/tools/nnapi_quickcheck/tests/concat_1.cpp deleted file mode 100644 index d2cb1aada..000000000 --- a/tools/nnapi_quickcheck/tests/concat_1.cpp +++ /dev/null @@ -1,161 +0,0 @@ -/* - * Copyright (c) 2018 Samsung Electronics Co., Ltd. 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. - */ - -#include "gtest/gtest.h" - -#include "tflite/ext/kernels/register.h" -#include "tensorflow/lite/model.h" -#include "tensorflow/lite/builtin_op_data.h" - -#include "env.h" -#include "memory.h" -#include "misc/environment.h" - -#include "tflite/Diff.h" -#include "tflite/Quantization.h" -#include "tflite/interp/FunctionBuilder.h" - -#include <iostream> -#include <cassert> - -#include <chrono> -#include <random> - -using namespace tflite; -using namespace nnfw::tflite; - -TEST(NNAPI_Quickcheck_concat_1, simple_test) -{ - int verbose = 0; - int tolerance = 1; - - nnfw::misc::env::IntAccessor("VERBOSE").access(verbose); - nnfw::misc::env::IntAccessor("TOLERANCE").access(tolerance); - - // Set random seed - int SEED = std::chrono::system_clock::now().time_since_epoch().count(); - - nnfw::misc::env::IntAccessor("SEED").access(SEED); - -#define INT_VALUE(NAME, VALUE) IntVar NAME##_Value(#NAME, VALUE); -#include "concat_1.lst" -#undef INT_VALUE - - // TODO Allow users to set concat axis! - const int32_t CONCAT_COUNT = CONCAT_COUNT_Value(); - - const int32_t IFM_H = IFM_H_Value(); - const int32_t IFM_W = IFM_W_Value(); - - int32_t OFM_C = 0; - const int32_t OFM_H = IFM_H; - const int32_t OFM_W = IFM_W; - - std::cout << "Configurations:" << std::endl; -#define PRINT_NEWLINE() \ - { \ - std::cout << std::endl; \ - } -#define PRINT_VALUE(value) \ - { \ - std::cout << " " << #value << ": " << (value) << std::endl; \ - } - PRINT_VALUE(SEED); - PRINT_NEWLINE(); - - PRINT_VALUE(CONCAT_COUNT); - PRINT_NEWLINE(); - - PRINT_VALUE(IFM_H); - PRINT_VALUE(IFM_W); -#undef PRINT_VALUE -#undef PRINT_NEWLINE - - // Randomize IFM depth - std::default_random_engine generator(SEED); - std::uniform_int_distribution<int> distribution(1, 8); - - std::vector<int32_t> depths; - - for (int32_t n = 0; n < CONCAT_COUNT; ++n) - { - const auto depth = distribution(generator); - - OFM_C += depth; - depths.emplace_back(depth); - } - - auto setup = [&](Interpreter &interp) { - // Comment from 'context.h' - // - // Parameters for asymmetric quantization. Quantized values can be converted - // back to float using: - // real_value = scale * (quantized_value - zero_point); - // - // Q: Is this necessary? - TfLiteQuantizationParams quantization = make_default_quantization(); - - // On AddTensors(N) call, T/F Lite interpreter creates N tensors whose index is [0 ~ N) - interp.AddTensors(depths.size() + 1); - - // Configure OFM - interp.SetTensorParametersReadWrite(0, kTfLiteFloat32 /* type */, "output" /* name */, - {1 /*N*/, OFM_H, OFM_W, OFM_C} /* dims */, quantization); - - // Configure IFM(s) - std::vector<int> ifm_indexes; - - for (uint32_t n = 0; n < depths.size(); ++n) - { - const auto ifm_index = 1 + n; - const auto IFM_C = depths.at(n); - - interp.SetTensorParametersReadWrite(ifm_index, kTfLiteFloat32 /* type */, "input" /* name */, - {1 /*N*/, IFM_H, IFM_W, IFM_C} /* dims */, quantization); - - ifm_indexes.emplace_back(ifm_index); - } - - // Add Concat Node - // - // NOTE AddNodeWithParameters take the ownership of param, and deallocate it with free - // So, param should be allocated with malloc - auto param = make_alloc<TfLiteConcatenationParams>(); - - param->activation = kTfLiteActNone; - param->axis = 3; - - // Run Convolution and store its result into Tensor #0 - // - Read IFM from Tensor #1 - interp.AddNodeWithParameters(ifm_indexes, {0}, nullptr, 0, reinterpret_cast<void *>(param), - BuiltinOpResolver().FindOp(BuiltinOperator_CONCATENATION, 1)); - - // Set Tensor #1 as Input #0, and Tensor #0 as Output #0 - interp.SetInputs(ifm_indexes); - interp.SetOutputs({0}); - }; - - const nnfw::tflite::FunctionBuilder builder(setup); - - RandomTestParam param; - - param.verbose = verbose; - param.tolerance = tolerance; - - int res = RandomTestRunner{SEED, param}.run(builder); - - EXPECT_EQ(res, 0); -} |