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_logistic_quan_1, 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);
54 #include "logistic_quan_1.lst"
57 const int32_t IFM_N = IFM_N_Value();
58 const int32_t IFM_C = IFM_C_Value();
59 const int32_t IFM_H = IFM_H_Value();
60 const int32_t IFM_W = IFM_W_Value();
62 const int32_t OFM_N = IFM_N;
63 const int32_t OFM_C = IFM_C;
64 const int32_t OFM_H = IFM_H;
65 const int32_t OFM_W = IFM_W;
67 // Initialize random number generator
68 std::minstd_rand random(SEED);
70 std::cout << "Configurations:" << std::endl;
71 #define PRINT_NEWLINE() \
73 std::cout << std::endl; \
75 #define PRINT_VALUE(value) \
77 std::cout << " " << #value << ": " << (value) << std::endl; \
95 auto setup = [&](Interpreter &interp) {
96 // Comment from 'context.h'
98 // Parameters for asymmetric quantization. Quantized values can be converted
99 // back to float using:
100 // real_value = scale * (quantized_value - zero_point);
101 TfLiteQuantizationParams in_quantization;
102 in_quantization.scale = 0.5f;
103 in_quantization.zero_point = 0;
105 TfLiteQuantizationParams out_quantization;
106 out_quantization.scale = 1.f / 256;
107 out_quantization.zero_point = 0;
109 // On AddTensors(N) call, T/F Lite interpreter creates N tensors whose index is [0 ~ N)
110 interp.AddTensors(2);
113 interp.SetTensorParametersReadWrite(0, kTfLiteUInt8 /* type */, "output" /* name */,
114 {OFM_N, OFM_H, OFM_W, OFM_C} /* dims */, out_quantization);
117 interp.SetTensorParametersReadWrite(1, kTfLiteUInt8 /* type */, "input" /* name */,
118 {IFM_N, IFM_H, IFM_W, IFM_C} /* dims */, in_quantization);
121 // Run Logistic and store the result into Tensor #0
122 // - Read input from Tensor #1
123 interp.AddNodeWithParameters({1}, {0}, nullptr, 0, nullptr,
124 BuiltinOpResolver().FindOp(BuiltinOperator_LOGISTIC, 1));
126 interp.SetInputs({1});
127 interp.SetOutputs({0});
130 const nnfw::tflite::FunctionBuilder builder(setup);
132 RandomTestParam param;
134 param.verbose = verbose;
135 param.tolerance = tolerance;
137 int res = RandomTestRunner{SEED, param}.run(builder);