From 9acc18ba180bedfa4d55b2e099e8ef926edc5561 Mon Sep 17 00:00:00 2001 From: =?utf8?q?=EC=9C=A4=ED=98=84=EC=8B=9D/=EB=8F=99=EC=9E=91=EC=A0=9C?= =?utf8?q?=EC=96=B4Lab=28SR=29/Principal=20Engineer/=EC=82=BC=EC=84=B1?= =?utf8?q?=EC=A0=84=EC=9E=90?= Date: Tue, 12 Jun 2018 11:21:13 +0900 Subject: [PATCH] unittest for MUL (3Dx1D) (#1645) Unittest for MUL ([300,1,4], [4]) has added. Signed-off-by: Hyun Sik Yoon --- tools/nnapi_unittests/CMakeLists.txt | 1 + tools/nnapi_unittests/tests/mul_1.cpp | 146 ++++++++++++++++++++++++++++++++++ tools/nnapi_unittests/tests/mul_1.lst | 10 +++ 3 files changed, 157 insertions(+) create mode 100644 tools/nnapi_unittests/tests/mul_1.cpp create mode 100644 tools/nnapi_unittests/tests/mul_1.lst diff --git a/tools/nnapi_unittests/CMakeLists.txt b/tools/nnapi_unittests/CMakeLists.txt index c033eda..5d8281c 100644 --- a/tools/nnapi_unittests/CMakeLists.txt +++ b/tools/nnapi_unittests/CMakeLists.txt @@ -21,6 +21,7 @@ add_nnapi_unittest(div_1) add_nnapi_unittest(div_2) add_nnapi_unittest(sub_1) add_nnapi_unittest(sub_2) +add_nnapi_unittest(mul_1) add_nnapi_unittest(conv_1) add_nnapi_unittest(dconv_1) add_nnapi_unittest(max_pool_1) diff --git a/tools/nnapi_unittests/tests/mul_1.cpp b/tools/nnapi_unittests/tests/mul_1.cpp new file mode 100644 index 0000000..6044b32 --- /dev/null +++ b/tools/nnapi_unittests/tests/mul_1.cpp @@ -0,0 +1,146 @@ +/* + * 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 "support/tflite/kernels/register.h" +#include "tensorflow/contrib/lite/model.h" +#include "tensorflow/contrib/lite/builtin_op_data.h" + +#include "env.h" +#include "memory.h" +#include "util/environment.h" + +#include "support/tflite/Diff.h" +#include "support/tflite/interp/FunctionBuilder.h" + +#include +#include + +#include +#include + +using namespace tflite; +using namespace tflite::ops::builtin; + +int main(int argc, char **argv) +{ + int verbose = 0; + int tolerance = 1; + + nnfw::util::env::IntAccessor("VERBOSE").access(verbose); + nnfw::util::env::IntAccessor("TOLERANCE").access(tolerance); + + // Set random seed + int SEED = std::chrono::system_clock::now().time_since_epoch().count(); + + nnfw::util::env::IntAccessor("SEED").access(SEED); + +#define INT_VALUE(NAME, VALUE) IntVar NAME##_Value(#NAME, VALUE); +#include "mul_1.lst" +#undef INT_VALUE + + const int32_t LEFT_1D = LEFT_1D_Value(); + const int32_t LEFT_2D = LEFT_2D_Value(); + const int32_t LEFT_3D = LEFT_3D_Value(); + + const int32_t RIGHT_W = RIGHT_W_Value(); + + const int32_t OFM_1D = LEFT_1D_Value(); + const int32_t OFM_2D = LEFT_2D_Value(); + const int32_t OFM_3D = LEFT_3D_Value(); + + // Initialize random number generator + std::minstd_rand random(SEED); + + 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(LEFT_1D); + PRINT_VALUE(LEFT_2D); + PRINT_VALUE(LEFT_3D); + PRINT_NEWLINE(); + + PRINT_VALUE(RIGHT_W); + PRINT_NEWLINE(); + + PRINT_VALUE(OFM_1D); + PRINT_VALUE(OFM_2D); + PRINT_VALUE(OFM_3D); +#undef PRINT_VALUE +#undef PRINT_NEWLINE + + 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; + + quantization.scale = 1; + quantization.zero_point = 0; + + // On AddTensors(N) call, T/F Lite interpreter creates N tensors whose index is [0 ~ N) + interp.AddTensors(3); + + // Configure output + interp.SetTensorParametersReadWrite(0, kTfLiteFloat32 /* type */, "output" /* name */, + {OFM_1D, OFM_2D, OFM_3D} /* dims */, quantization); + + // Configure input(s) + interp.SetTensorParametersReadWrite(1, kTfLiteFloat32 /* type */, "left" /* name */, + {LEFT_1D, LEFT_2D, LEFT_3D} /* dims */, quantization); + + interp.SetTensorParametersReadWrite(2, kTfLiteFloat32 /* type */, "right" /* name */, + {RIGHT_W} /* dims */, quantization); + + // Add MUL Node + // + // NOTE AddNodeWithParameters take the ownership of param, and deallocate it with free + // So, param should be allocated with malloc + auto param = make_alloc(); + + param->activation = kTfLiteActNone; + + // Run MUL and store the result into Tensor #0 + // - Read Left from Tensor #1 + // - Read Right from Tensor #2, + interp.AddNodeWithParameters({1, 2}, {0}, nullptr, 0, reinterpret_cast(param), + BuiltinOpResolver().FindOp(BuiltinOperator_MUL)); + + interp.SetInputs({1, 2}); + interp.SetOutputs({0}); + }; + + const nnfw::support::tflite::interp::FunctionBuilder builder(setup); + + RandomTestParam param; + + param.verbose = verbose; + param.tolerance = tolerance; + + return RandomTestRunner{SEED, param}.run(builder); +} diff --git a/tools/nnapi_unittests/tests/mul_1.lst b/tools/nnapi_unittests/tests/mul_1.lst new file mode 100644 index 0000000..d850f37 --- /dev/null +++ b/tools/nnapi_unittests/tests/mul_1.lst @@ -0,0 +1,10 @@ +#ifndef INT_VALUE +#error "INT_VALUE should be defined" +#endif // INT_VALUE + +// (300, 1, 4) +INT_VALUE(LEFT_1D, 300) +INT_VALUE(LEFT_2D, 1) +INT_VALUE(LEFT_3D, 4) + +INT_VALUE(RIGHT_W, 4) -- 2.7.4