/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v1_0/hdi_prepared_model/ |
H A D | hdi_prepared_model_test.cpp | 258 std::vector<IOTensor> inputs; variable 289 std::vector<IOTensor> inputs; variable 310 std::vector<IOTensor> inputs; variable 345 std::vector<IOTensor> inputs; variable 362 std::vector<IOTensor> inputs; variable 394 std::vector<IOTensor> inputs; variable 447 std::vector<IOTensor> inputs; variable 464 std::vector<IOTensor> inputs; variable 684 inputs.emplace_back(tensor); 716 inputs.emplace_back(tensor); [all …]
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/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v2_0/hdi_prepared_model/ |
H A D | hdi_prepared_model_test.cpp | 255 std::vector<IOTensor> inputs; variable 286 std::vector<IOTensor> inputs; variable 307 std::vector<IOTensor> inputs; variable 341 std::vector<IOTensor> inputs; variable 358 std::vector<IOTensor> inputs; variable 390 std::vector<IOTensor> inputs; variable 442 std::vector<IOTensor> inputs; variable 459 std::vector<IOTensor> inputs; variable 679 inputs.emplace_back(tensor); 711 inputs.emplace_back(tensor); [all …]
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/ohos5.0/foundation/ai/neural_network_runtime/test/unittest/components/v2_1/hdi_prepared_model/ |
H A D | hdi_prepared_model_test.cpp | 256 std::vector<IOTensor> inputs; variable 287 std::vector<IOTensor> inputs; variable 308 std::vector<IOTensor> inputs; variable 342 std::vector<IOTensor> inputs; variable 359 std::vector<IOTensor> inputs; variable 391 std::vector<IOTensor> inputs; variable 441 std::vector<IOTensor> inputs; variable 458 std::vector<IOTensor> inputs; variable 678 inputs.emplace_back(tensor); 710 inputs.emplace_back(tensor); [all …]
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/ohos5.0/foundation/multimedia/image_framework/frameworks/innerkitsimpl/test/unittest/heif_hw_decode/unittest/ |
H A D | heif_hw_decoder_test.cpp | 68 std::vector<std::vector<uint8_t>> inputs; variable 87 std::vector<std::vector<uint8_t>> inputs; variable 88 inputs.emplace_back(std::vector<uint8_t>(1)); 89 inputs.emplace_back(std::vector<uint8_t>(1)); 107 std::vector<std::vector<uint8_t>> inputs; variable 108 inputs.emplace_back(std::vector<uint8_t>(1)); 109 inputs.emplace_back(std::vector<uint8_t>(1)); 128 std::vector<std::vector<uint8_t>> inputs; variable 129 inputs.emplace_back(std::vector<uint8_t>(1)); 149 std::vector<std::vector<uint8_t>> inputs; variable [all …]
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/ohos5.0/foundation/graphic/graphic_2d/rosen/modules/effect/test/unittest/ |
H A D | image_chain_unittest.cpp | 40 std::vector<std::shared_ptr<Rosen::Input>> inputs; variable 41 auto imageChain = std::make_shared<ImageChain>(inputs); 66 std::vector<std::shared_ptr<Rosen::Input>> inputs; variable 67 inputs.push_back(input); 68 auto imageChain = std::make_shared<ImageChain>(inputs); 111 std::vector<std::shared_ptr<Rosen::Input>> inputs; variable 113 inputs.push_back(castInput); 114 auto imageChain = std::make_shared<ImageChain>(inputs);
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H A D | output_unittest.cpp | 330 std::vector<std::shared_ptr<Rosen::Input>> inputs; variable 332 inputs.push_back(castInput); 333 Rosen::ImageChain imageChain(inputs); 397 std::vector<std::shared_ptr<Rosen::Input>> inputs; variable 399 inputs.push_back(castInput); 400 Rosen::ImageChain imageChain(inputs);
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/ohos5.0/build/config/ |
H A D | zip.gni | 5 # Creates a zip archive of the inputs. 7 # inputs (required) 22 inputs = invoker.inputs 25 assert(defined(invoker.inputs)) 26 rebase_inputs = rebase_path(invoker.inputs, root_build_dir) 34 "--inputs=$rebase_inputs",
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H A D | python.gni | 9 # 2) Causes "gn analyze" to know about all Python inputs so that tests will be 110 if (!defined(inputs)) { 111 inputs = [] 114 # Dependencies are listed relative to the script directory, but inputs 117 inputs += rebase_path(_pydeps, ".", _script_dir) 153 if (!defined(inputs)) { 154 inputs = [] 157 # Dependencies are listed relative to the script directory, but inputs 160 inputs += rebase_path(_pydeps, ".", _script_dir)
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/ohos5.0/docs/zh-cn/application-dev/ai/mindspore/ |
H A D | mindspore-lite-train-guidelines.md | 43 int GenerateInputDataWithRandom(OH_AI_TensorHandleArray inputs) { 44 for (size_t i = 0; i < inputs.handle_num; ++i) { 126 OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); 127 if (inputs.handle_list == NULL) { 135 ret = GenerateInputDataWithRandom(inputs); 270 for (size_t i = 0; i < inputs.handle_num; ++i) { 319 OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); 320 if (inputs.handle_list == NULL) { 328 ret = GenerateInputDataWithRandom(inputs); 420 if (inputs.handle_list == NULL) { [all …]
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H A D | mindspore-lite-guidelines.md | 69 int GenerateInputDataWithRandom(OH_AI_TensorHandleArray inputs) { 70 for (size_t i = 0; i < inputs.handle_num; ++i) { 71 float *input_data = (float *)OH_AI_TensorGetMutableData(inputs.handle_list[i]); 76 int64_t num = OH_AI_TensorGetElementNum(inputs.handle_list[i]); 191 OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); 192 if (inputs.handle_list == NULL) { 199 ret = GenerateInputDataWithRandom(inputs); 215 ret = OH_AI_ModelPredict(model, inputs, &outputs, NULL, NULL);
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/ohos5.0/foundation/multimedia/image_framework/plugins/common/libs/image/libextplugin/src/heif_impl/ |
H A D | HeifDecoderImpl.cpp | 755 std::vector<std::vector<uint8_t>> inputs(GRID_NUM_2); in HwDecodeSingleImage() local 758 ProcessChunkHead(inputs[0].data(), inputs[0].size()); in HwDecodeSingleImage() 761 ProcessChunkHead(inputs[1].data(), inputs[1].size()); in HwDecodeSingleImage() 770 gridInfo.tileWidth, gridInfo.tileHeight, inputs[0].size(), inputs[1].size()); in HwDecodeSingleImage() 783 std::vector<uint8_t> inputs; in HwDecodeMimeImage() local 785 ProcessChunkHead(inputs.data(), inputs.size()); in HwDecodeMimeImage() 792 … if (memcpy_s(auxiliaryDstMemory_, auxiliaryDstMemorySize_, inputs.data(), inputs.size()) != EOK) { in HwDecodeMimeImage() 847 std::vector<std::vector<uint8_t>> inputs(numGrid); in SwDecodeGrids() local 853 ProcessChunkHead(inputs[index].data(), inputs[index].size()); in SwDecodeGrids() 888 std::vector<std::vector<uint8_t>> inputs(1); in SwDecodeSingleImage() local [all …]
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/ohos5.0/build/scripts/util/ |
H A D | build_utils.py | 278 def is_time_stale(output, inputs): argument 283 for i in inputs: 401 def do_zip(inputs, argument 417 for tup in inputs: 437 inputs = [] 440 inputs.append(os.path.join(root, f)) 443 do_zip(inputs, 610 inputs = inputs or [] 612 inputs = _compute_python_dependencies() + inputs 613 inputs = sorted(inputs) [all …]
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/ohos5.0/foundation/multimedia/image_framework/plugins/common/libs/image/libextplugin/src/hardware/ |
H A D | heif_hw_decoder.cpp | 273 for (size_t i = 0; i < inputs.size(); ++i) { in DumpSingleInput() 277 const vector<uint8_t>& one = inputs[i]; in DumpSingleInput() 288 DumpSingleInput("all", gridInfo, inputs); in DumpInput() 289 DumpSingleInput("xps", gridInfo, inputs); in DumpInput() 290 DumpSingleInput("data", gridInfo, inputs); in DumpInput() 322 DumpInput(gridInfo, inputs); in DoDecode() 334 thread inputThread(&HeifHardwareDecoder::SendInputBufferLoop, this, inputs); in DoDecode() 450 if (inputIndex >= inputs.size()) { in PrepareInputCodecBuffer() 454 const vector<uint8_t>& one = inputs[inputIndex]; in PrepareInputCodecBuffer() 485 void HeifHardwareDecoder::SendInputBufferLoop(const vector<vector<uint8_t>>& inputs) in SendInputBufferLoop() argument [all …]
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/ohos5.0/build/lite/toolchain/ |
H A D | iccarm.gni | 76 rspfile_content = "{{inputs}}" 77 command = "rm -f {{output}} && $ar {{inputs}} -o {{output}}" 91 rspfile_content = "{{inputs}}" 96 …command += "$ld -shared {{ldflags}} $extra_ldflags " + "-Wl, --start-group {{inputs}} {{libs}} -Wl… 122 …command += "$ld {{ldflags}} $extra_ldflags \$($link_helper {{inputs}} {{libs}}) -o $unstripped_out… 125 "{{inputs}} {{libs}} -o $unstripped_outfile" 133 rspfile_content = "{{inputs}}"
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H A D | clang.gni | 55 rspfile_content = "{{inputs}}" 68 rspfile_content = "{{inputs}}" 75 "$ld -shared {{ldflags}} {{inputs}} {{libs}} -o $unstripped_outfile" 99 command += "$ld {{ldflags}} {{inputs}} {{libs}} $custom_ld_flags -o $unstripped_outfile" 106 rspfile_content = "{{inputs}}"
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/ohos5.0/foundation/multimedia/image_framework/plugins/common/libs/image/libextplugin/include/hardware/ |
H A D | heif_hw_decoder.h | 35 …uint32_t DoDecode(const GridInfo& gridInfo, std::vector<std::vector<uint8_t>>& inputs, sptr<Surfac… 63 …int32_t PrepareInputCodecBuffer(const std::vector<std::vector<uint8_t>>& inputs, size_t inputIndex, 65 void SendInputBufferLoop(const std::vector<std::vector<uint8_t>>& inputs); 83 const std::vector<std::vector<uint8_t>>& inputs); 84 void DumpInput(const GridInfo& gridInfo, const std::vector<std::vector<uint8_t>>& inputs);
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/ohos5.0/build/ |
H A D | zip.py | 29 inputs = ast.literal_eval(options.inputs) 34 build_utils.do_zip(inputs, f, base_dir)
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/ohos5.0/docs/en/application-dev/ai/mindspore/ |
H A D | mindspore-lite-train-guidelines.md | 43 int GenerateInputDataWithRandom(OH_AI_TensorHandleArray inputs) { 44 for (size_t i = 0; i < inputs.handle_num; ++i) { 127 if (inputs.handle_list == NULL) { 135 ret = GenerateInputDataWithRandom(inputs); 270 for (size_t i = 0; i < inputs.handle_num; ++i) { 319 OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); 320 if (inputs.handle_list == NULL) { 328 ret = GenerateInputDataWithRandom(inputs); 419 OH_AI_TensorHandleArray inputs = OH_AI_ModelGetInputs(model); 420 if (inputs.handle_list == NULL) { [all …]
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/ohos5.0/docs/zh-cn/device-dev/reference/hdi-apis/nnrt/ |
H A D | interface_i_prepared_model_v10.md | 21 | [Run](#run) ([in] struct [IOTensor](_i_o_tensor_v10.md)[] inputs, [in] struct [IOTensor](_i_o_ten… 54 IPreparedModel::Run ([in] struct IOTensor[] inputs, [in] struct IOTensor[] outputs, [out] int outpu… 66 | inputs | 模型推理的输入数据,输入的顺序与模型中定义的输入顺序一致,输入数据类型参考IOTensor定义[IOTensor](_i_o_tensor_v10.md)。 |
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H A D | interface_i_prepared_model_v20.md | 24 | [Run](#run) ([in] struct [IOTensor](_i_o_tensor_v20.md)[] inputs, [in] struct [IOTensor](_i_o_ten… 86 IPreparedModel::Run ([in] struct IOTensor[] inputs, [in] struct IOTensor[] outputs, [out] int outpu… 100 | inputs | 模型推理的输入数据,输入的顺序与模型中定义的输入顺序一致,输入数据类型参考IOTensor定义[IOTensor](_i_o_tensor_v20.md)。 |
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/ohos5.0/build/config/ohos/ |
H A D | copy_ex.gni | 21 # The following variables have the usual GN meaning: data, deps, inputs, 38 if (defined(invoker.inputs)) { 39 inputs = invoker.inputs
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/ohos5.0/build/lite/ndk/build/toolchain/ |
H A D | clang.gni | 64 rspfile_content = "{{inputs}}" 75 rspfile_content = "{{inputs}}" 76 command = "$ld -shared {{ldflags}} {{inputs}} -o $outfile" 91 command = "$ld {{ldflags}} {{inputs}} $custom_ld_flags -o $outfile" 98 rspfile_content = "{{inputs}}"
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H A D | gcc.gni | 70 rspfile_content = "{{inputs}}" 83 rspfile_content = "{{inputs}}" 86 "-Wl,--start-group {{inputs}} {{libs}} -Wl,--end-group -o $outfile" 102 "-Wl,--start-group {{inputs}} {{libs}} -Wl,--end-group -o $outfile " 109 rspfile_content = "{{inputs}}"
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/ohos5.0/foundation/ai/neural_network_runtime/example/drivers/nnrt/v1_0/hdi_cpu_service/src/ |
H A D | prepared_model_service.cpp | 93 int32_t PreparedModelService::Run(const std::vector<IOTensor>& inputs, const std::vector<IOTensor>&… in Run() argument 96 auto ret = SetInputs(inputs); in Run() 254 int32_t PreparedModelService::SetInputs(const std::vector<IOTensor>& inputs) in SetInputs() argument 256 if (inputs.size() != m_inputs.size()) { in SetInputs() 257 … HDF_LOGE("inputs size is invalid. expect: %zu, actual: %zu", m_inputs.size(), inputs.size()); in SetInputs() 270 auto& input = inputs[i]; in SetInputs() 294 auto& input = inputs[i]; in SetInputs()
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/ohos5.0/foundation/ai/neural_network_runtime/test/system_test/common/ |
H A D | nnrt_test.cpp | 103 const OH_NN_UInt32Array inputs = TransformUInt32Array(inputIndices); in AddOperation() local 106 OH_NN_ReturnCode status = OH_NNModel_AddOperation(m_model, opType, ¶ms, &inputs, &outputs); in AddOperation() 110 .inputs = inputIndices, in AddOperation() 123 const OH_NN_UInt32Array inputs = TransformUInt32Array(inputIndices); in SpecifyInputAndOutput() local 126 OH_NN_ReturnCode status = OH_NNModel_SpecifyInputsAndOutputs(m_model, &inputs, &outputs); in SpecifyInputAndOutput()
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