1 /* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
2
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 #include <sys/mman.h>
16
17 #include <algorithm>
18 #include <array>
19 #include <cstdint>
20 #include <iterator>
21 #include <memory>
22 #include <numeric>
23 #include <ostream>
24 #include <unordered_set>
25 #include <vector>
26
27 #include <gtest/gtest.h>
28 #include "tensorflow/lite/builtin_ops.h"
29 #include "tensorflow/lite/c/common.h"
30 #include "tensorflow/lite/delegates/nnapi/nnapi_delegate.h"
31 #include "tensorflow/lite/delegates/nnapi/nnapi_delegate_mock_test.h"
32 #include "tensorflow/lite/interpreter.h"
33 #include "tensorflow/lite/kernels/test_util.h"
34 #include "tensorflow/lite/model.h"
35 #include "tensorflow/lite/nnapi/NeuralNetworksTypes.h"
36 #include "tensorflow/lite/nnapi/nnapi_implementation.h"
37
38 namespace tflite {
39 namespace {
40
41 struct NnApiFailureHandlingTest
42 : ::tflite::delegate::nnapi::NnApiDelegateMockTest {};
43
44 // This is a model with two ops:
45 //
46 // input1 ---->
47 // ADD --
48 // input2 --> |
49 // -->
50 // SUB --> output
51 // input3 ---------------->
52 //
53 class AddSubOpsAcceleratedModel : public MultiOpModel {
54 public:
AddSubOpsAcceleratedModel(const TensorData & input1,const TensorData & input2,const TensorData & input3,const TensorData & output,ActivationFunctionType activation_type,const NnApi * nnapi,const std::string & accelerator_name,bool allow_fp32_relax_to_fp16=false)55 AddSubOpsAcceleratedModel(const TensorData& input1, const TensorData& input2,
56 const TensorData& input3, const TensorData& output,
57 ActivationFunctionType activation_type,
58 const NnApi* nnapi,
59 const std::string& accelerator_name,
60 bool allow_fp32_relax_to_fp16 = false)
61 : MultiOpModel() {
62 StatefulNnApiDelegate::Options options;
63 options.accelerator_name = accelerator_name.c_str();
64 stateful_delegate_.reset(new StatefulNnApiDelegate(nnapi, options));
65 SetDelegate(stateful_delegate_.get());
66 Init(input1, input2, input3, output, activation_type,
67 allow_fp32_relax_to_fp16);
68 }
69
input1()70 int input1() { return input1_; }
input2()71 int input2() { return input2_; }
input3()72 int input3() { return input3_; }
73
GetOutput()74 std::vector<float> GetOutput() { return ExtractVector<float>(output_); }
75
76 protected:
77 int input1_;
78 int input2_;
79 int input3_;
80 int output_;
81
82 private:
83 std::unique_ptr<StatefulNnApiDelegate> stateful_delegate_;
84
85 // Performs initialization logic shared across all constructors.
Init(const TensorData & input1,const TensorData & input2,const TensorData & input3,const TensorData & output,ActivationFunctionType activation_type,bool allow_fp32_relax_to_fp16=false)86 void Init(const TensorData& input1, const TensorData& input2,
87 const TensorData& input3, const TensorData& output,
88 ActivationFunctionType activation_type,
89 bool allow_fp32_relax_to_fp16 = false) {
90 input1_ = AddInput(input1);
91 input2_ = AddInput(input2);
92 input3_ = AddInput(input3);
93 const int add_output = AddInnerTensor<float>(output);
94 output_ = AddOutput(output);
95 AddBuiltinOp(BuiltinOperator_ADD, BuiltinOptions_AddOptions,
96 CreateAddOptions(builder_, activation_type).Union(),
97 {input1_, input2_}, {add_output});
98 AddBuiltinOp(BuiltinOperator_SUB, BuiltinOptions_SubOptions,
99 CreateSubOptions(builder_, activation_type).Union(),
100 {add_output, input3_}, {output_});
101 BuildInterpreter({GetShape(input1_), GetShape(input2_), GetShape(input3_)},
102 /*num_threads=*/-1, allow_fp32_relax_to_fp16,
103 /*apply_delegate=*/false);
104 ApplyDelegate();
105 }
106 };
107
TEST_F(NnApiFailureHandlingTest,DelegateShouldFailImmediatelyIfUnableToAddOp)108 TEST_F(NnApiFailureHandlingTest, DelegateShouldFailImmediatelyIfUnableToAddOp) {
109 static int add_op_invocation_count = 0;
110 nnapi_mock_->SetNnapiSupportedDevice("test-device");
111
112 nnapi_mock_->StubAddOperationWith(
113 [](ANeuralNetworksModel* model, ANeuralNetworksOperationType type,
114 uint32_t inputCount, const uint32_t* inputs, uint32_t outputCount,
115 const uint32_t* outputs) -> int {
116 ++add_op_invocation_count;
117 return ANEURALNETWORKS_BAD_DATA;
118 });
119
120 AddSubOpsAcceleratedModel m(
121 {TensorType_FLOAT32, {1, 2, 2, 1}}, {TensorType_FLOAT32, {1, 2, 2, 1}},
122 {TensorType_FLOAT32, {1, 2, 2, 1}}, {TensorType_FLOAT32, {}},
123 ActivationFunctionType_NONE, nnapi_mock_->GetNnApi(),
124 /*accelerator_name=*/"test-device");
125 std::vector<float> input1{-2.0, 0.2, 0.7, 0.9};
126 std::vector<float> input2{0.1, 0.2, 0.3, 0.5};
127 m.PopulateTensor<float>(m.input1(), input1);
128 m.PopulateTensor<float>(m.input2(), input2);
129 m.PopulateTensor<float>(m.input3(), input2);
130 m.Invoke();
131
132 EXPECT_EQ(add_op_invocation_count, 1);
133 }
134
135 } // namespace
136 } // namespace tflite
137