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"
26 #include "misc/feature/Shape.h"
28 #include "tflite/Diff.h"
29 #include "tflite/Quantization.h"
30 #include "tflite/interp/FunctionBuilder.h"
37 using namespace tflite;
38 using namespace nnfw::tflite;
40 TEST(NNAPI_Quickcheck_split_2, simple_test)
45 nnfw::misc::env::IntAccessor("VERBOSE").access(verbose);
46 nnfw::misc::env::IntAccessor("TOLERANCE").access(tolerance);
48 #define INT_VALUE(NAME, VALUE) IntVar NAME##_Value(#NAME, VALUE);
49 #include "split_2.lst"
52 const int32_t IFM_N = IFM_N_Value();
53 const int32_t IFM_C = IFM_C_Value();
54 const int32_t IFM_H = IFM_H_Value();
55 const int32_t IFM_W = IFM_W_Value();
56 const int32_t NUM_SPLIT = NUM_SPLIT_Value();
57 const int32_t AXIS = AXIS_Value();
60 int SEED = std::chrono::system_clock::now().time_since_epoch().count();
62 nnfw::misc::env::IntAccessor("SEED").access(SEED);
64 // Initialize random number generator
65 std::minstd_rand random(SEED);
67 std::cout << "Configurations:" << std::endl;
68 #define PRINT_NEWLINE() \
70 std::cout << std::endl; \
72 #define PRINT_VALUE(value) \
74 std::cout << " " << #value << ": " << (value) << std::endl; \
83 PRINT_VALUE(NUM_SPLIT);
88 const int32_t OFM_N = IFM_N;
89 const int32_t OFM_C = IFM_C;
90 const int32_t OFM_H = IFM_H;
91 const int32_t OFM_W = IFM_W;
92 const int32_t axis[1] = {AXIS};
94 auto setup = [&](Interpreter &interp) {
95 // Comment from 'context.h'
97 // Parameters for asymmetric quantization. Quantized values can be converted
98 // back to float using:
99 // real_value = scale * (quantized_value - zero_point);
101 // Q: Is this necessary?
102 TfLiteQuantizationParams quantization = make_default_quantization();
104 // On AddTensors(N) call, T/F Lite interpreter creates N tensors whose index is [0 ~ N)
105 interp.AddTensors(NUM_SPLIT + 2);
107 // Configure Input Tensor(s)
108 interp.SetTensorParametersReadOnly(0, kTfLiteInt32 /* type */, "axis" /* name */,
109 {1} /* dims */, quantization,
110 reinterpret_cast<const char *>(axis), 1 * sizeof(int32_t));
112 interp.SetTensorParametersReadWrite(1, kTfLiteFloat32 /* type */, "input" /* name */,
113 {IFM_N, IFM_H, IFM_W, IFM_C} /* dims */, quantization);
115 // Configure Output Tensor
116 std::vector<int> ofm_indexes;
118 for (uint32_t n = 0; n < NUM_SPLIT; ++n)
120 const auto ofm_index = 2 + n;
122 interp.SetTensorParametersReadWrite(ofm_index, kTfLiteFloat32 /* type */, "output" /* name */,
123 {OFM_N, OFM_H, OFM_W, OFM_C} /* dims */, quantization);
125 ofm_indexes.emplace_back(ofm_index);
128 auto *param = reinterpret_cast<TfLiteSplitParams *>(malloc(sizeof(TfLiteSplitParams)));
130 param->num_splits = NUM_SPLIT;
133 // Run SPLIT and store its result into Tensor #0
134 // - Read axis and IFM from Tensor #0 and #1, respectively
135 interp.AddNodeWithParameters({0, 1}, ofm_indexes, nullptr, 0, reinterpret_cast<void *>(param),
136 BuiltinOpResolver().FindOp(BuiltinOperator_SPLIT, 1));
138 // Set Tensor #1 as Input #0, and Tensor #2 ~ #NUM_SPLIT+1 as Output #0
139 interp.SetInputs({1});
140 interp.SetOutputs(ofm_indexes);
143 const nnfw::tflite::FunctionBuilder builder(setup);
145 RandomTestParam param;
147 param.verbose = verbose;
148 param.tolerance = tolerance;
150 int res = RandomTestRunner{SEED, param}.run(builder);