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/external/ltp/testcases/kernel/device-drivers/v4l/user_space/
Dtest_VIDIOC_ENUMINPUT.c47 struct v4l2_input input2; in test_VIDIOC_ENUMINPUT() local
84 memset(&input2, 0, sizeof(input2)); in test_VIDIOC_ENUMINPUT()
85 input2.index = input.index; in test_VIDIOC_ENUMINPUT()
86 strncpy((char *)input2.name, (char *)input.name, in test_VIDIOC_ENUMINPUT()
87 sizeof(input2.name)); in test_VIDIOC_ENUMINPUT()
88 input2.type = input.type; in test_VIDIOC_ENUMINPUT()
89 input2.audioset = input.audioset; in test_VIDIOC_ENUMINPUT()
90 input2.tuner = input.tuner; in test_VIDIOC_ENUMINPUT()
91 input2.std = input.std; in test_VIDIOC_ENUMINPUT()
92 input2.status = input.status; in test_VIDIOC_ENUMINPUT()
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/external/tensorflow/tensorflow/lite/kernels/
Dcomparisons.cc37 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in ComparisonPrepare() local
44 TF_LITE_ENSURE_TYPES_EQ(context, input1->type, input2->type); in ComparisonPrepare()
47 bool requires_broadcast = !HaveSameShapes(input1, input2); in ComparisonPrepare()
52 context, input1, input2, &output_size)); in ComparisonPrepare()
65 const TfLiteTensor* input2, TfLiteTensor* output, \
69 auto input2_offset = -input2->params.zero_point; \
78 QuantizeMultiplierSmallerThanOneExp(input2->params.scale, \
92 GetTensorData<input_dtype>(input1), GetTensorShape(input2), \
93 GetTensorData<input_dtype>(input2), GetTensorShape(output), \
98 GetTensorData<input_dtype>(input1), GetTensorShape(input2), \
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Dfloor_mod.cc49 T FloorMod(T input1, T input2) { in FloorMod() argument
54 T trunc_mod = mod_func(input1, input2); in FloorMod()
55 return (input1 < T(0)) == (input2 < T(0)) in FloorMod()
57 : mod_func(trunc_mod + input2, input2); in FloorMod()
78 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Prepare() local
81 TF_LITE_ENSURE_TYPES_EQ(context, input1->type, input2->type); in Prepare()
91 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
96 context, input1, input2, &output_size)); in Prepare()
106 const TfLiteTensor* input1, const TfLiteTensor* input2, in EvalImpl() argument
108 const T* denominator_data = GetTensorData<T>(input2); in EvalImpl()
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Dsquared_difference.cc38 T SquaredDifference(T input1, T input2) { in SquaredDifference() argument
39 const T difference = input1 - input2; in SquaredDifference()
60 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Prepare() local
63 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
64 output->type = input2->type; in Prepare()
66 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
71 context, input1, input2, &output_size)); in Prepare()
82 const TfLiteTensor* input2, TfLiteTensor* output) { in EvalSquaredDifference() argument
86 GetTensorShape(input2), GetTensorData<T>(input2), in EvalSquaredDifference()
91 GetTensorShape(input2), GetTensorData<T>(input2), in EvalSquaredDifference()
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Dcomparisons_test.cc38 ComparisonOpModel(const TensorData& input1, const TensorData& input2, in ComparisonOpModel() argument
41 input2_ = AddInput(input2); in ComparisonOpModel()
48 int input2() { return input2_; } in input2() function in tflite::__anona2b0a7960111::ComparisonOpModel
99 model.PopulateTensor<bool>(model.input2(), {true, true, false, false}); in TEST()
110 model.PopulateTensor<float>(model.input2(), {0.1, 0.2, 0.6, 0.5}); in TEST()
121 model.PopulateTensor<int>(model.input2(), {1, 2, 7, 5}); in TEST()
132 model.PopulateTensor<int>(model.input2(), {7}); in TEST()
143 model.PopulateTensor<int>(model.input2(), {7, 1, 2, 4}); in TEST()
155 model.PopulateTensor<bool>(model.input2(), {true, true, false, false}); in TEST()
166 model.PopulateTensor<float>(model.input2(), {0.1, 0.2, 0.6, 0.5}); in TEST()
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Dfloor_div.cc38 T FloorDiv(T input1, T input2) { in FloorDiv() argument
40 static_cast<double>(input2))); in FloorDiv()
61 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Prepare() local
64 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
73 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
78 context, input1, input2, &output_size)); in Prepare()
88 const TfLiteTensor* input1, const TfLiteTensor* input2, in EvalImpl() argument
90 const T* denominator_data = GetTensorData<T>(input2); in EvalImpl()
93 for (int i = 0; i < NumElements(input2); ++i) { in EvalImpl()
102 GetTensorShape(input2), denominator_data, GetTensorShape(output), in EvalImpl()
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Dmul.cc71 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Prepare() local
74 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
76 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
81 context, input1, input2, &output_size)); in Prepare()
100 input1->params.scale * input2->params.scale / output->params.scale; in Prepare()
111 const TfLiteTensor* input2, TfLiteTensor* output) { in EvalMul() argument
120 GetTensorData<data_type>(input1), GetTensorShape(input2), \ in EvalMul()
121 GetTensorData<data_type>(input2), GetTensorShape(output), \ in EvalMul()
160 const TfLiteTensor* input2, TfLiteTensor* output) { in EvalQuantized() argument
161 if (input1->type == input2->type && input1->type == output->type && in EvalQuantized()
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Dpow.cc54 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Prepare() local
57 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
66 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
71 context, input1, input2, &output_size)); in Prepare()
80 void PowImpl(const TfLiteTensor* input1, const TfLiteTensor* input2, in PowImpl() argument
85 GetTensorShape(input2), GetTensorData<T>(input2), in PowImpl()
89 GetTensorShape(input2), GetTensorData<T>(input2), in PowImpl()
111 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Eval() local
117 TF_LITE_ENSURE_OK(context, CheckValue(context, input2)); in Eval()
118 PowImpl<int32_t>(input1, input2, output, data->requires_broadcast); in Eval()
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Dadd.cc80 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Prepare() local
83 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
84 output->type = input2->type; in Prepare()
86 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
91 context, input1, input2, &output_size)); in Prepare()
99 data->input2_offset = -input2->params.zero_point; in Prepare()
103 2 * std::max(input1->params.scale, input2->params.scale); in Prepare()
107 input2->params.scale / twice_max_input_scale; in Prepare()
140 TF_LITE_ENSURE_EQ(context, input2->params.zero_point, 0); in Prepare()
150 CheckedLog2(input2->params.scale, &input2_scale_log2_rounded); in Prepare()
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Dfloor_mod_test.cc29 FloorModModel(const TensorData& input1, const TensorData& input2, in FloorModModel() argument
32 input2_ = AddInput(input2); in FloorModModel()
40 int input2() { return input2_; } in input2() function in tflite::__anond5662e890111::FloorModModel
56 model.PopulateTensor<int32_t>(model.input2(), {2, 2, 3, 4}); in TEST()
67 model.PopulateTensor<int32_t>(model.input2(), {2, 2, -3, -4}); in TEST()
77 model.PopulateTensor<int32_t>(model.input2(), {-3}); in TEST()
87 model.PopulateTensor<int64_t>(model.input2(), {-(1LL << 33)}); in TEST()
99 model.PopulateTensor<float>(model.input2(), {2, 2, 3, 4}); in TEST()
110 model.PopulateTensor<float>(model.input2(), {2, 2, -3, -4}); in TEST()
121 model.PopulateTensor<float>(model.input2(), {-3}); in TEST()
Dsub.cc146 const TfLiteTensor* input2, TfLiteTensor* output, in PrepareInt16SubOp() argument
157 TF_LITE_ENSURE_EQ(context, input2->params.zero_point, 0); in PrepareInt16SubOp()
167 CheckedLog2(input2->params.scale, &input2_scale_log2_rounded); in PrepareInt16SubOp()
198 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Prepare() local
201 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
202 output->type = input2->type; in Prepare()
204 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
209 context, input1, input2, &output_size)); in Prepare()
215 TF_LITE_ENSURE_OK(context, Prepare8BitSubOp(context, input1, input2, output, in Prepare()
218 TF_LITE_ENSURE_OK(context, PrepareInt16SubOp(context, input1, input2, in Prepare()
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Ddiv_test.cc28 BaseDivOpModel(const TensorData& input1, const TensorData& input2, in BaseDivOpModel() argument
32 input2_ = AddInput(input2); in BaseDivOpModel()
40 int input2() { return input2_; } in input2() function in tflite::__anon04cff98b0111::BaseDivOpModel
67 m.PopulateTensor<float>(m.input2(), {0.5, 0.2, -1.5, 0.5}); in TEST()
78 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, -1.5, 0.5}); in TEST()
92 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.6, 0.5, -1.1, -0.1}); in TEST()
109 m.PopulateTensor<float>(m.input2(), {0.1}); in TEST()
123 m.PopulateTensor<int32_t>(m.input2(), {5, -2, -3, 5}); in TEST()
133 m.PopulateTensor<int32_t>(m.input2(), {1, 2, -15, 5}); in TEST()
146 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 6, 5, -11, -1}); in TEST()
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Dmul_test.cc28 BaseMulOpModel(const TensorData& input1, const TensorData& input2, in BaseMulOpModel() argument
32 input2_ = AddInput(input2); in BaseMulOpModel()
40 int input2() { return input2_; } in input2() function in tflite::__anon58b4bc560111::BaseMulOpModel
93 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.3, 0.5}); in TEST()
104 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.3, 5}); in TEST()
118 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.3, 0.5, 1.1, 0.1}); in TEST()
135 m.PopulateTensor<float>(m.input2(), {0.1}); in TEST()
149 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 3, 5}); in TEST()
159 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 3, 5}); in TEST()
172 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 3, 5, 11, 1}); in TEST()
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Dlogical.cc55 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Prepare() local
58 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
67 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
72 context, input1, input2, &output_size)); in Prepare()
85 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in LogicalImpl() local
91 GetTensorShape(input2), GetTensorData<bool>(input2), in LogicalImpl()
95 GetTensorShape(input2), GetTensorData<bool>(input2), in LogicalImpl()
Dadd_test.cc28 BaseAddOpModel(const TensorData& input1, const TensorData& input2, in BaseAddOpModel() argument
32 input2_ = AddInput(input2); in BaseAddOpModel()
40 int input2() { return input2_; } in input2() function in tflite::__anon2fc512110111::BaseAddOpModel
94 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.3, 0.5}); in TEST()
104 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.3, 0.5}); in TEST()
117 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.3, 0.5, 1.1, 0.1}); in TEST()
133 m.PopulateTensor<float>(m.input2(), {0.1}); in TEST()
147 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 3, 5}); in TEST()
157 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 3, 5}); in TEST()
170 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 3, 5, 11, 1}); in TEST()
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Ddiv.cc61 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Prepare() local
64 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
65 output->type = input2->type; in Prepare()
67 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
72 context, input1, input2, &output_size)); in Prepare()
83 const TfLiteTensor* input2, TfLiteTensor* output) { in EvalDiv() argument
92 GetTensorData<data_type>(input1), GetTensorShape(input2), \ in EvalDiv()
93 GetTensorData<data_type>(input2), GetTensorShape(output), \ in EvalDiv()
133 const TfLiteTensor* input2 = GetInput(context, node, kInputTensor2); in Eval() local
137 EvalDiv<kernel_type>(context, node, params, data, input1, input2, output); in Eval()
Dsub_test.cc28 BaseSubOpModel(const TensorData& input1, const TensorData& input2, in BaseSubOpModel() argument
32 input2_ = AddInput(input2); in BaseSubOpModel()
40 int input2() { return input2_; } in input2() function in tflite::__anonec0491d20111::BaseSubOpModel
94 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.3, 0.8}); in TEST()
105 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.3, 0.8}); in TEST()
119 m.PopulateTensor<float>(m.input2(), {0.1, 0.2, 0.3, 0.8, -1.1, 0.1}); in TEST()
136 m.PopulateTensor<float>(m.input2(), {0.5}); in TEST()
150 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 3, 5}); in TEST()
160 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 3, 5}); in TEST()
173 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 3, 5, 11, 1}); in TEST()
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Dpow_test.cc30 PowOpModel(const TensorData& input1, const TensorData& input2, in PowOpModel() argument
33 input2_ = AddInput(input2); in PowOpModel()
41 int input2() { return input2_; } in input2() function in tflite::__anond1e4505e0111::PowOpModel
57 model.PopulateTensor<int32_t>(model.input2(), {1, 2, 3, 1}); in TEST()
68 model.PopulateTensor<int32_t>(model.input2(), {1, 2, 3, 0}); in TEST()
79 model.PopulateTensor<float>(model.input2(), {0.5, 2.7, 3.1, 3.2}); in TEST()
92 model.PopulateTensor<float>(model.input2(), {0.5, -2.7, 3.1, -3.2}); in TEST()
104 model.PopulateTensor<int32_t>(model.input2(), {4}); in TEST()
Dsquared_difference_test.cc29 const TensorData& input2, in BaseSquaredDifferenceOpModel() argument
32 input2_ = AddInput(input2); in BaseSquaredDifferenceOpModel()
41 int input2() { return input2_; } in input2() function in tflite::__anon39b9a6870111::BaseSquaredDifferenceOpModel
68 m.PopulateTensor<float>(m.input2(), {0.5, 0.2, -1.5, 0.5}); in TEST()
82 m.PopulateTensor<float>(m.input2(), {1.0, 0.2, 0.6, 0.4, -1.0, -0.0}); in TEST()
100 m.PopulateTensor<float>(m.input2(), {0.1}); in TEST()
114 m.PopulateTensor<int32_t>(m.input2(), {5, -2, -3, 5}); in TEST()
127 m.PopulateTensor<int32_t>(m.input2(), {1, 2, 6, 5, -5, -20}); in TEST()
143 m.PopulateTensor<int32_t>(m.input2(), {3}); in TEST()
Dfill_test.cc29 explicit FillOpModel(const TensorData& input1, const TensorData& input2) { in FillOpModel() argument
31 input2_ = AddInput(input2); in FillOpModel()
39 int input2() { return input2_; } in input2() function in tflite::__anonc34c406f0111::FillOpModel
51 m.PopulateTensor<int32_t>(m.input2(), {-11}); in TEST()
61 m.PopulateTensor<int64_t>(m.input2(), {2 ^ 45}); in TEST()
72 m.PopulateTensor<float>(m.input2(), {4.0}); in TEST()
81 m.PopulateTensor<float>(m.input2(), {4.0}); in TEST()
Dselect_test.cc42 int input2() { return input2_; } in input2() function in tflite::__anon9c2126080111::SelectOpModel
64 model.PopulateTensor<bool>(model.input2(), {false, false, false, false}); in TEST()
78 model.PopulateTensor<float>(model.input2(), {0.1, 0.2, 0.3, 0.4}); in TEST()
91 model.PopulateTensor<uint8_t>(model.input2(), {1, 2, 3, 4}); in TEST()
104 model.PopulateTensor<int8_t>(model.input2(), {1, -2, 3, 4}); in TEST()
117 model.PopulateTensor<int16_t>(model.input2(), {1, 2, 3, 4}); in TEST()
130 model.PopulateTensor<int32_t>(model.input2(), {1, 2, 3, 4}); in TEST()
142 model.PopulateTensor<int32_t>(model.input2(), {1, 2, 3, 4}); in TEST()
154 model.PopulateTensor<int32_t>(model.input2(), {1, 2, 3, 4}); in TEST()
Dfloor_div_test.cc29 FloorDivModel(const TensorData& input1, const TensorData& input2, in FloorDivModel() argument
32 input2_ = AddInput(input2); in FloorDivModel()
40 int input2() { return input2_; } in input2() function in tflite::__anon3da45a8c0111::FloorDivModel
56 model.PopulateTensor<int32_t>(model.input2(), {2, 2, 3, 4}); in TEST()
67 model.PopulateTensor<int32_t>(model.input2(), {2, 2, -3, -4}); in TEST()
77 model.PopulateTensor<int32_t>(model.input2(), {-3}); in TEST()
/external/deqp-deps/glslang/Test/baseResults/
Dhlsl.max.frag.out8 0:2 'input2' ( in 4-component vector of float)
13 0:3 'input2' ( in 4-component vector of float)
21 0:? 'input2' ( temp 4-component vector of float)
22 0:? 'input2' (layout( location=1) in 4-component vector of float)
27 0:? 'input2' ( temp 4-component vector of float)
31 0:? 'input2' (layout( location=1) in 4-component vector of float)
43 0:2 'input2' ( in 4-component vector of float)
48 0:3 'input2' ( in 4-component vector of float)
56 0:? 'input2' ( temp 4-component vector of float)
57 0:? 'input2' (layout( location=1) in 4-component vector of float)
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/external/libchrome/crypto/
Dsecure_hash_unittest.cc38 std::string input2(10001, 'd'); // 'd' repeated 10001 times in TEST() local
63 ctx1->Update(input2.data(), input2.size()); in TEST()
66 ctx2->Update(input2.data(), input2.size()); in TEST()
86 std::string input2(10001, 'd'); // 'd' repeated 10001 times in TEST() local
95 ctx1->Update(input2.data(), input2.size()); in TEST()
101 std::string input3 = input1 + input2; in TEST()
/external/libaom/libaom/test/
Dcorner_match_test.cc63 uint8_t *input2 = new uint8_t[w * h]; in RunCheckOutput() local
73 input2[i * w + j] = rnd_.Rand8(); in RunCheckOutput()
80 input2[i * w + j] = (v / 2) + (rnd_.Rand8() & 15); in RunCheckOutput()
91 compute_cross_correlation_c(input1, w, x1, y1, input2, w, x2, y2); in RunCheckOutput()
92 double res_simd = target_func(input1, w, x1, y1, input2, w, x2, y2); in RunCheckOutput()
97 compute_cross_correlation_c(input1, w, x1, y1, input2, w, x2, y2); in RunCheckOutput()
105 target_func(input1, w, x1, y1, input2, w, x2, y2); in RunCheckOutput()
121 delete[] input2; in RunCheckOutput()

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