| /external/tensorflow/tensorflow/lite/kernels/ |
| fill_test.cc | 29 explicit FillOpModel(const TensorData& input1, const TensorData& input2) {
30 input1_ = AddInput(input1);
32 output_ = AddOutput(input1);
38 int input1() { return input1_; } function in class:tflite::__anon46025::FillOpModel
50 m.PopulateTensor<int32_t>(m.input1(), {2, 3});
60 m.PopulateTensor<int32_t>(m.input1(), {2, 4});
71 m.PopulateTensor<int64_t>(m.input1(), {2, 2, 2});
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| audio_spectrogram_test.cc | 40 BaseAudioSpectrogramOpModel(const TensorData& input1,
43 input1_ = AddInput(input1);
58 int input1() { return input1_; } function in class:tflite::ops::custom::__anon45996::BaseAudioSpectrogramOpModel
70 m.PopulateTensor<float>(m.input1(),
86 m.PopulateTensor<float>(m.input1(),
102 m.PopulateTensor<float>(m.input1(), {-1.0f, 0.0f, 1.0f, 0.0f, -1.0f, 0.0f,
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| comparisons_test.cc | 38 ComparisonOpModel(const TensorData& input1, const TensorData& input2,
40 input1_ = AddInput(input1);
47 int input1() { return input1_; } function in class:tflite::__anon46006::ComparisonOpModel
98 model.PopulateTensor<bool>(model.input1(), {true, false, true, false});
109 model.PopulateTensor<float>(model.input1(), {0.1, 0.9, 0.7, 0.3});
120 model.PopulateTensor<int>(model.input1(), {-1, 9, 7, 3});
131 model.PopulateTensor<int>(model.input1(), {-1, 9, 7, 3});
142 model.PopulateTensor<int>(model.input1(), {-1, 9, 7, 3, 2, 4, 2, 8});
154 model.PopulateTensor<bool>(model.input1(), {true, false, true, false});
165 model.PopulateTensor<float>(model.input1(), {0.1, 0.9, 0.7, 0.3})
[all...] |
| div_test.cc | 28 BaseDivOpModel(const TensorData& input1, const TensorData& input2,
31 input1_ = AddInput(input1);
39 int input1() { return input1_; } function in class:tflite::__anon46012::BaseDivOpModel
66 m.PopulateTensor<float>(m.input1(), {-0.2, 0.2, -1.2, 0.8});
77 m.PopulateTensor<float>(m.input1(), {-0.2, 0.2, -1.2, 0.8});
91 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.3, 0.8, 1.1, -2.0});
108 m.PopulateTensor<float>(m.input1(), {-0.2, 0.2, 0.07, 0.08, 0.11, -0.123});
122 m.PopulateTensor<int32_t>(m.input1(), {-2, 2, -15, 8});
132 m.PopulateTensor<int32_t>(m.input1(), {-2, 2, -12, 8});
145 m.PopulateTensor<int32_t>(m.input1(), {-20, 2, 3, 8, 11, -20})
[all...] |
| floor_div_test.cc | 29 FloorDivModel(const TensorData& input1, const TensorData& input2,
31 input1_ = AddInput(input1);
39 int input1() { return input1_; } function in class:tflite::__anon46027::FloorDivModel
55 model.PopulateTensor<int32_t>(model.input1(), {10, 9, 11, 3});
66 model.PopulateTensor<int32_t>(model.input1(), {10, -9, -11, 7});
76 model.PopulateTensor<int32_t>(model.input1(), {10, -9, -11, 7});
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| floor_mod_test.cc | 29 FloorModModel(const TensorData& input1, const TensorData& input2,
31 input1_ = AddInput(input1);
39 int input1() { return input1_; } function in class:tflite::__anon46029::FloorModModel
55 model.PopulateTensor<int32_t>(model.input1(), {10, 9, 11, 3});
66 model.PopulateTensor<int32_t>(model.input1(), {10, -9, -11, 7});
76 model.PopulateTensor<int32_t>(model.input1(), {10, -9, -11, 7});
86 model.PopulateTensor<int64_t>(model.input1(), {10, -9, -11, (1LL << 34) + 9});
98 model.PopulateTensor<float>(model.input1(), {10, 9, 11, 3});
109 model.PopulateTensor<float>(model.input1(), {10, -9, -11, 7});
120 model.PopulateTensor<float>(model.input1(), {10, -9, -11, 7})
[all...] |
| logical_test.cc | 37 int input1() { return input1_; } function in class:tflite::__anon46060::LogicalOpModel
67 model.PopulateTensor<bool>(model.input1(), {true, false, false, true});
77 model.PopulateTensor<bool>(model.input1(), {true, false, false, true});
87 model.PopulateTensor<bool>(model.input1(), {true, false, false, true});
97 model.PopulateTensor<bool>(model.input1(), {true, false, false, true});
|
| mfcc_test.cc | 40 BaseMfccOpModel(const TensorData& input1, const TensorData& input2,
42 input1_ = AddInput(input1);
59 int input1() { return input1_; } function in class:tflite::ops::custom::__anon46066::BaseMfccOpModel
78 m.PopulateTensor<float>(m.input1(), 0, data.data(),
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| pow_test.cc | 30 PowOpModel(const TensorData& input1, const TensorData& input2,
32 input1_ = AddInput(input1);
40 int input1() { return input1_; } function in class:tflite::__anon46078::PowOpModel
56 model.PopulateTensor<int32_t>(model.input1(), {12, 2, 7, 8});
67 model.PopulateTensor<int32_t>(model.input1(), {0, 2, -7, 8});
78 model.PopulateTensor<float>(model.input1(), {0.3, 0.4, 0.7, 5.8});
91 model.PopulateTensor<float>(model.input1(), {0.3, 0.4, 0.7, 5.8});
103 model.PopulateTensor<int32_t>(model.input1(), {12, 2, 7, 8});
|
| select_test.cc | 41 int input1() { return input1_; } function in class:tflite::__anon46091::SelectOpModel
63 model.PopulateTensor<bool>(model.input1(), {true, false, true, false});
77 model.PopulateTensor<bool>(model.input1(), {true, false, true, false});
90 model.PopulateTensor<bool>(model.input1(), {false, true, false, false});
103 model.PopulateTensor<bool>(model.input1(), {false, true, false, false});
116 model.PopulateTensor<bool>(model.input1(), {false, true, false, false});
129 model.PopulateTensor<bool>(model.input1(), {false, true, false, false});
141 model.PopulateTensor<bool>(model.input1(), {false, true});
153 model.PopulateTensor<bool>(model.input1(), {false});
|
| squared_difference_test.cc | 28 BaseSquaredDifferenceOpModel(const TensorData& input1,
31 input1_ = AddInput(input1);
40 int input1() { return input1_; } function in class:tflite::__anon46102::BaseSquaredDifferenceOpModel
67 m.PopulateTensor<float>(m.input1(), {-0.2, 0.2, -1.2, 0.8});
81 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.3, 0.8, 1.1, -2.0});
99 m.PopulateTensor<float>(m.input1(), {-0.2, 0.2, 0.5, 0.8, 0.11, 1.1});
113 m.PopulateTensor<int32_t>(m.input1(), {-2, 2, -15, 8});
126 m.PopulateTensor<int32_t>(m.input1(), {-20, 2, 3, 8, 11, -20});
142 m.PopulateTensor<int32_t>(m.input1(), {-20, 10, 7, 3, 1, 13});
|
| add_n.cc | 34 const TfLiteTensor* input1 = GetInput(context, node, kInputTensor1); local
36 output->type = input1->type;
41 TF_LITE_ENSURE(context, HaveSameShapes(input1, input));
42 TF_LITE_ENSURE_EQ(context, input1->type, input->type);
47 TfLiteIntArray* input1_dims = input1->dims;
58 const TfLiteTensor* input1 = GetInput(context, node, kInputTensor1); local
59 reference_ops::AddN<T>(GetTensorShape(input1), num_inputs, all_inputs.data(),
|
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/tests/ |
| resolve_constant_unary_test.cc | 35 Array& input1 = model.GetOrCreateArray("input1"); local
42 *input1.mutable_shape()->mutable_dims() = {static_cast<int>(axis.size())};
43 input1.GetMutableBuffer<ArrayDataType::kInt32>().data = axis;
44 input1.data_type = ArrayDataType::kInt32;
50 sum_op->inputs = {"input0", "input1"};
|
| /external/libchrome/crypto/ |
| sha2_unittest.cc | 14 std::string input1 = "abc"; local
25 crypto::SHA256HashString(input1, output1, sizeof(output1));
30 crypto::SHA256HashString(input1,
39 std::string input1 = "abc"; local
49 std::string output1 = crypto::SHA256HashString(input1);
|
| rsa_private_key_unittest.cc | 325 std::vector<uint8_t> input1; local
328 input1.resize(sizeof(short_integer_with_high_bit));
331 memcpy(&input1.front(), short_integer_with_high_bit,
337 crypto::RSAPrivateKey::CreateFromPrivateKeyInfo(input1));
348 ASSERT_EQ(input1.size(), output1.size());
350 ASSERT_EQ(0, memcmp(&output1.front(), &input1.front(), input1.size()));
|
| /external/skia/src/effects/imagefilters/ |
| SkComposeImageFilter.cpp | 70 auto input1 = xformer->apply(this->getInput(1)); local
71 if (input0.get() != this->getInput(0) || input1.get() != this->getInput(1)) {
72 return SkComposeImageFilter::Make(std::move(input0), std::move(input1));
|
| /external/skqp/src/effects/imagefilters/ |
| SkComposeImageFilter.cpp | 70 auto input1 = xformer->apply(this->getInput(1)); local
71 if (input0.get() != this->getInput(0) || input1.get() != this->getInput(1)) {
72 return SkComposeImageFilter::Make(std::move(input0), std::move(input1));
|
| /external/compiler-rt/test/builtins/timing/ |
| divdi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; local
27 input1[i] = (((int64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63);
39 FUNCTION_NAME(input1[i], input2[i]);
|
| moddi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; local
27 input1[i] = (((int64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63);
39 FUNCTION_NAME(input1[i], input2[i]);
|
| modsi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; local
27 input1[i] = rand();
39 FUNCTION_NAME(input1[i], input2[i]);
|
| muldi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; local
27 input1[i] = (((int64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63);
39 FUNCTION_NAME(input1[i], input2[i]);
|
| udivdi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; local
27 input1[i] = (((uint64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63);
39 FUNCTION_NAME(input1[i], input2[i]);
|
| umoddi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; local
27 input1[i] = (((uint64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63);
39 FUNCTION_NAME(input1[i], input2[i]);
|
| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| shape_optimizer.cc | 93 const MutableGraphView::OutputPort input1 = local
97 if (!IsSize(*input1.node) || !IsSize(*input2.node)) {
105 const auto& prop1 = properties.GetInputProperties(input1.node->name());
|
| /external/libxcam/modules/ocl/ |
| cl_blender.cpp | 110 SmartPtr<VideoBuffer> input0, input1; local
121 input1 = input;
124 input1 = next;
129 const VideoBufferInfo &in1_info = input1->get_video_info ();
166 ret = allocate_cl_buffers (context, input0, input1, output);
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