Searched refs:inputs_info (Results 1 – 3 of 3) sorted by relevance
/hardware/interfaces/neuralnetworks/1.1/vts/functional/ |
D | ValidateRequest.cpp | 165 std::vector<RequestArgument> inputs_info, outputs_info; in createRequests() local 170 for_all(inputs, [&inputs_info, &inputSize](int index, auto, auto s) { in createRequests() 171 if (inputs_info.size() <= static_cast<size_t>(index)) inputs_info.resize(index + 1); in createRequests() 179 inputs_info[index] = s ? arg : arg_empty; in createRequests() 185 for (auto& i : inputs_info) { in createRequests() 227 for_all(inputs, [&inputs_info, inputPtr](int index, auto p, auto s) { in createRequests() 231 std::copy(begin, end, inputPtr + inputs_info[index].location.offset); in createRequests() 235 requests.push_back({.inputs = inputs_info, .outputs = outputs_info, .pools = pools}); in createRequests()
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/hardware/interfaces/neuralnetworks/1.0/vts/functional/ |
D | ValidateRequest.cpp | 164 std::vector<RequestArgument> inputs_info, outputs_info; in createRequests() local 169 for_all(inputs, [&inputs_info, &inputSize](int index, auto, auto s) { in createRequests() 170 if (inputs_info.size() <= static_cast<size_t>(index)) inputs_info.resize(index + 1); in createRequests() 178 inputs_info[index] = s ? arg : arg_empty; in createRequests() 184 for (auto& i : inputs_info) { in createRequests() 226 for_all(inputs, [&inputs_info, inputPtr](int index, auto p, auto s) { in createRequests() 230 std::copy(begin, end, inputPtr + inputs_info[index].location.offset); in createRequests() 234 requests.push_back({.inputs = inputs_info, .outputs = outputs_info, .pools = pools}); in createRequests()
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D | GeneratedTestHarness.cpp | 81 std::vector<RequestArgument> inputs_info, outputs_info; in EvaluatePreparedModel() local 86 for_all(inputs, [&inputs_info, &inputSize](int index, auto, auto s) { in EvaluatePreparedModel() 87 if (inputs_info.size() <= static_cast<size_t>(index)) inputs_info.resize(index + 1); in EvaluatePreparedModel() 95 inputs_info[index] = s ? arg : arg_empty; in EvaluatePreparedModel() 101 for (auto& i : inputs_info) { in EvaluatePreparedModel() 146 for_all(inputs, [&inputs_info, inputPtr](int index, auto p, auto s) { in EvaluatePreparedModel() 150 std::copy(begin, end, inputPtr + inputs_info[index].location.offset); in EvaluatePreparedModel() 160 {.inputs = inputs_info, .outputs = outputs_info, .pools = pools}, executionCallback); in EvaluatePreparedModel()
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