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_3, 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_3.lst"
52 const int32_t IFM_H = IFM_H_Value();
53 const int32_t IFM_W = IFM_W_Value();
54 const int32_t NUM_SPLIT = NUM_SPLIT_Value();
55 const int32_t AXIS = AXIS_Value();
58 int SEED = std::chrono::system_clock::now().time_since_epoch().count();
60 nnfw::misc::env::IntAccessor("SEED").access(SEED);
62 // Initialize random number generator
63 std::minstd_rand random(SEED);
65 std::cout << "Configurations:" << std::endl;
66 #define PRINT_NEWLINE() \
68 std::cout << std::endl; \
70 #define PRINT_VALUE(value) \
72 std::cout << " " << #value << ": " << (value) << std::endl; \
79 PRINT_VALUE(NUM_SPLIT);
84 const int32_t OFM_H = IFM_H;
85 const int32_t OFM_W = IFM_W;
86 const int32_t axis[1] = {AXIS};
88 auto setup = [&](Interpreter &interp) {
89 // Comment from 'context.h'
91 // Parameters for asymmetric quantization. Quantized values can be converted
92 // back to float using:
93 // real_value = scale * (quantized_value - zero_point);
95 // Q: Is this necessary?
96 TfLiteQuantizationParams quantization = make_default_quantization();
98 // On AddTensors(N) call, T/F Lite interpreter creates N tensors whose index is [0 ~ N)
99 interp.AddTensors(NUM_SPLIT + 2);
101 // Configure Input Tensor(s)
102 interp.SetTensorParametersReadOnly(0, kTfLiteInt32 /* type */, "axis" /* name */,
103 {1} /* dims */, quantization,
104 reinterpret_cast<const char *>(axis), 1 * sizeof(int32_t));
106 interp.SetTensorParametersReadWrite(1, kTfLiteFloat32 /* type */, "input" /* name */,
107 {IFM_H, IFM_W} /* dims */, quantization);
109 // Configure Output Tensor
110 std::vector<int> ofm_indexes;
112 for (uint32_t n = 0; n < NUM_SPLIT; ++n)
114 const auto ofm_index = 2 + n;
116 interp.SetTensorParametersReadWrite(ofm_index, kTfLiteFloat32 /* type */, "output" /* name */,
117 {OFM_H, OFM_W} /* dims */, quantization);
119 ofm_indexes.emplace_back(ofm_index);
122 auto *param = reinterpret_cast<TfLiteSplitParams *>(malloc(sizeof(TfLiteSplitParams)));
124 param->num_splits = NUM_SPLIT;
127 // Run SPLIT and store its result into Tensor #0
128 // - Read axis and IFM from Tensor #0 and #1, respectively
129 interp.AddNodeWithParameters({0, 1}, ofm_indexes, nullptr, 0, reinterpret_cast<void *>(param),
130 BuiltinOpResolver().FindOp(BuiltinOperator_SPLIT, 1));
132 // Set Tensor #1 as Input #0, and Tensor #2 ~ #NUM_SPLIT+1 as Output #0
133 interp.SetInputs({1});
134 interp.SetOutputs(ofm_indexes);
137 const nnfw::tflite::FunctionBuilder builder(setup);
139 RandomTestParam param;
141 param.verbose = verbose;
142 param.tolerance = tolerance;
144 int res = RandomTestRunner{SEED, param}.run(builder);