/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/ops/ |
H A D | squared_difference_builder_test.cpp | 42 std::vector<int32_t> inputDim = {3}; in InitTensor() local 45 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor() 65 std::vector<int32_t> inputDim = {3}; variable 68 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 83 std::vector<int32_t> inputDim = {3}; variable 86 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 102 std::vector<int32_t> inputDim = {3}; variable 105 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 120 std::vector<int32_t> inputDim = {3}; variable 123 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); [all …]
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H A D | sqrt_builder_test.cpp | 42 std::vector<int32_t> inputDim = {3}; in InitTensor() local 45 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor() 65 std::vector<int32_t> inputDim = {3}; variable 68 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 83 std::vector<int32_t> inputDim = {3}; variable 86 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 102 std::vector<int32_t> inputDim = {3}; variable 105 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 120 std::vector<int32_t> inputDim = {3}; variable 123 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); [all …]
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H A D | tile_builder_test.cpp | 47 std::vector<int32_t> inputDim = {2, 2}; in InitTensor() local 51 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor() 147 std::vector<int32_t> inputDim = {2, 2}; variable 149 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 162 std::vector<int32_t> inputDim = {2, 2}; variable 166 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 187 std::vector<int32_t> inputDim = {2, 2}; variable 190 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 205 std::vector<int32_t> inputDim = {2, 2}; variable 209 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr);
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H A D | slice_builder_test.cpp | 47 std::vector<int32_t> inputDim = {3, 2, 3}; in InitTensor() local 51 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor() 173 std::vector<int32_t> inputDim = { 3, 2, 3 }; variable 178 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 199 std::vector<int32_t> inputDim = { 3, 2, 3 }; variable 204 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 219 std::vector<int32_t> inputDim = { 3, 2, 3 }; variable 224 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr);
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H A D | tanh_builder_test.cpp | 41 std::vector<int32_t> inputDim = {1, 5, 1, 1}; in InitTensor() local 44 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor() 137 std::vector<int32_t> inputDim = {1, 5, 1, 1}; variable 139 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr);
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H A D | strided_slice_builder_test.cpp | 113 std::vector<int32_t> inputDim = {3, 2, 3}; in InitTensor() local 117 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor() 176 std::vector<int32_t> inputDim = {3, 2, 3}; variable 180 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 198 std::vector<int32_t> inputDim = {3, 2, 3}; variable 202 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 235 std::vector<int32_t> inputDim = {3, 2, 3}; variable 239 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); 257 std::vector<int32_t> inputDim = {3, 2, 3}; variable 262 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr);
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H A D | softmax_builder_test.cpp | 56 std::vector<int32_t> inputDim = {1, 5, 1, 1}; in InitTensor() local 60 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor() 179 std::vector<int32_t> inputDim = {1, 5, 1, 1}; variable 183 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr);
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H A D | transpose_builder_test.cpp | 41 std::vector<int32_t> inputDim = {2, 3}; in InitTensor() local 44 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor()
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H A D | split_builder_test.cpp | 50 std::vector<int32_t> inputDim = {2, 4}; in InitTensor() local 54 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor() 380 std::vector<int32_t> inputDim = {2, 4}; variable 383 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr);
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H A D | spacetobatchnd_builder_test.cpp | 50 std::vector<int32_t> inputDim = {3, 2, 3}; in InitTensor() local 54 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor() 61 std::vector<int32_t> inputDim = {1, 2, 2, 1}; in InitTensor() local 67 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor()
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H A D | squeeze_builder_test.cpp | 56 std::vector<int32_t> inputDim = {3, 2, 1}; in InitTensor() local 60 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor()
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H A D | stack_builder_test.cpp | 45 std::vector<int32_t> inputDim = {2}; in InitTensor() local 49 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor()
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H A D | unsqueeze_builder_test.cpp | 55 std::vector<int32_t> inputDim = {1, 5, 1}; in InitTensor() local 59 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor()
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H A D | sub_builder_test.cpp | 55 std::vector<int32_t> inputDim = {3}; in InitTensor() local 59 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor()
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H A D | topk_builder_test.cpp | 45 std::vector<int32_t> inputDim = {9}; in InitTensor() local 48 SaveInputTensor(inputsIndex, OH_NN_FLOAT32, inputDim, nullptr); in InitTensor()
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/ohos5.0/foundation/ai/neural_network_runtime/frameworks/native/neural_network_runtime/ |
H A D | neural_network_runtime.cpp | 328 std::vector<int32_t> inputDim; in ParseInputDimsFromExtensions() local 331 inputDim.clear(); in ParseInputDimsFromExtensions() 349 inputDim.emplace_back(dimsValue[dataIndex]); in ParseInputDimsFromExtensions() 355 extensionConfig.inputDims.emplace_back(inputDim); in ParseInputDimsFromExtensions()
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