2 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
8 * http://www.apache.org/licenses/LICENSE-2.0
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
17 #include "gtest/gtest.h"
19 #include "tflite/ext/kernels/register.h"
20 #include "tensorflow/lite/model.h"
21 #include "tensorflow/lite/builtin_op_data.h"
25 #include "misc/environment.h"
27 #include "tflite/Diff.h"
28 #include "tflite/Quantization.h"
29 #include "tflite/interp/FunctionBuilder.h"
37 using namespace tflite;
38 using namespace nnfw::tflite;
40 TEST(NNAPI_Quickcheck_add_4, simple_test)
45 nnfw::misc::env::IntAccessor("VERBOSE").access(verbose);
46 nnfw::misc::env::IntAccessor("TOLERANCE").access(tolerance);
49 int SEED = std::chrono::system_clock::now().time_since_epoch().count();
51 nnfw::misc::env::IntAccessor("SEED").access(SEED);
53 #define INT_VALUE(NAME, VALUE) IntVar NAME##_Value(#NAME, VALUE);
57 const int32_t LEFT_N = LEFT_N_Value();
58 const int32_t LEFT_C = LEFT_C_Value();
59 const int32_t LEFT_H = LEFT_H_Value();
60 const int32_t LEFT_W = LEFT_W_Value();
62 const int32_t RIGHT_N = RIGHT_N_Value();
63 const int32_t RIGHT_C = RIGHT_C_Value();
64 const int32_t RIGHT_H = RIGHT_H_Value();
65 const int32_t RIGHT_W = RIGHT_W_Value();
67 const int32_t OFM_N = std::max(LEFT_N, RIGHT_N);
68 const int32_t OFM_C = std::max(LEFT_C, RIGHT_C);
69 const int32_t OFM_H = std::max(LEFT_H, RIGHT_H);
70 const int32_t OFM_W = std::max(LEFT_W, RIGHT_W);
72 // Initialize random number generator
73 std::minstd_rand random(SEED);
75 std::cout << "Configurations:" << std::endl;
76 #define PRINT_NEWLINE() \
78 std::cout << std::endl; \
80 #define PRINT_VALUE(value) \
82 std::cout << " " << #value << ": " << (value) << std::endl; \
106 auto setup = [&](Interpreter &interp) {
107 // Comment from 'context.h'
109 // Parameters for asymmetric quantization. Quantized values can be converted
110 // back to float using:
111 // real_value = scale * (quantized_value - zero_point);
113 // Q: Is this necessary?
114 TfLiteQuantizationParams quantization = make_default_quantization();
116 // On AddTensors(N) call, T/F Lite interpreter creates N tensors whose index is [0 ~ N)
117 interp.AddTensors(3);
120 interp.SetTensorParametersReadWrite(0, kTfLiteFloat32 /* type */, "output" /* name */,
121 {OFM_N, OFM_H, OFM_W, OFM_C} /* dims */, quantization);
123 // Configure input(s)
124 interp.SetTensorParametersReadWrite(1, kTfLiteFloat32 /* type */, "left" /* name */,
125 {LEFT_N, LEFT_H, LEFT_W, LEFT_C} /* dims */, quantization);
127 interp.SetTensorParametersReadWrite(2, kTfLiteFloat32 /* type */, "right" /* name */,
128 {RIGHT_N, RIGHT_H, RIGHT_W, RIGHT_C} /* dims */,
131 // Add Convolution Node
133 // NOTE AddNodeWithParameters take the ownership of param, and deallocate it with free
134 // So, param should be allocated with malloc
135 auto param = make_alloc<TfLiteAddParams>();
137 param->activation = kTfLiteActNone;
139 // Run Add and store the result into Tensor #0
140 // - Read Left from Tensor #1
141 // - Read Left from Tensor #2,
142 interp.AddNodeWithParameters({1, 2}, {0}, nullptr, 0, reinterpret_cast<void *>(param),
143 BuiltinOpResolver().FindOp(BuiltinOperator_ADD, 1));
145 interp.SetInputs({1, 2});
146 interp.SetOutputs({0});
149 const nnfw::tflite::FunctionBuilder builder(setup);
151 RandomTestParam param;
153 param.verbose = verbose;
154 param.tolerance = tolerance;
156 int res = RandomTestRunner{SEED, param}.run(builder);