/hardware/qcom/neuralnetworks/hvxservice/1.0/ |
D | HexagonModel.cpp | 270 static bool verifyOperationOutputs(const std::vector<hexagon_nn_output>& outputs) { in verifyOperationOutputs() argument 271 for (const hexagon_nn_output& output : outputs) { in verifyOperationOutputs() 281 const std::vector<hexagon_nn_output>& outputs) { in addOperationInternal() argument 284 HEXAGON_SOFT_ASSERT(verifyOperationOutputs(outputs), in addOperationInternal() 288 inputs.size(), outputs.data(), in addOperationInternal() 289 outputs.size()) == 0 in addOperationInternal() 295 std::vector<hexagon_nn_output> outputs; in getHexagonOutputs() local 298 outputs.push_back(make_hexagon_nn_output(operand.dimensions, getSize(operand.type))); in getHexagonOutputs() 300 outputs.push_back(make_hexagon_nn_output({1, 1, 1, 1}, sizeof(float))); in getHexagonOutputs() 301 outputs.push_back(make_hexagon_nn_output({1, 1, 1, 1}, sizeof(float))); in getHexagonOutputs() [all …]
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D | HexagonModel.h | 115 const std::vector<uint32_t>& outputs); 119 const std::vector<uint32_t>& outputs); 123 const std::vector<uint32_t>& outputs); 127 const std::vector<uint32_t>& outputs); 131 const std::vector<uint32_t>& outputs); 141 const std::vector<hexagon_nn_output>& outputs);
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D | HexagonController.cpp | 128 uint32_t num_inputs, const hexagon_nn_output* outputs, in append_node() argument 130 CONTROLLER_CHECK(append_node, id, node_id, operation, padding, inputs, num_inputs, outputs, in append_node() 141 uint32_t n_inputs, hexagon_nn_tensordef* outputs, uint32_t n_outputs) { in execute_new() argument 142 CONTROLLER_CHECK(execute_new, id, inputs, n_inputs, outputs, n_outputs); in execute_new()
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D | HexagonController.h | 71 uint32_t num_inputs, const hexagon_nn_output* outputs, uint32_t num_outputs); 77 hexagon_nn_tensordef* outputs, uint32_t n_outputs);
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/hardware/libhardware_legacy/audio/ |
D | audio_policy.conf | 28 outputs { 47 outputs {
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/hardware/interfaces/neuralnetworks/1.0/vts/functional/ |
D | ValidateRequest.cpp | 97 for (size_t output = 0; output < request.outputs.size(); ++output) { in removeOutputTest() 100 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); }); in removeOutputTest() 114 const MixedTyped& outputs = example.operands.second; in createRequests() local 143 for_all(outputs, [&outputs_info, &outputSize](int index, auto, auto s) { in createRequests() 186 requests.push_back({.inputs = inputs_info, .outputs = outputs_info, .pools = pools}); in createRequests()
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D | ValidateModel.cpp | 349 for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) { in mutateOperationOutputOperandIndexTest() 354 model->operations[operation].outputs[output] = invalidOperand; in mutateOperationOutputOperandIndexTest() 378 removeValueAndDecrementGreaterValues(&operation.outputs, index); in removeOperand() 438 for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) { in removeOperationOutputTest() 443 hidl_vec_removeAt(&model->operations[operation].outputs, output); in removeOperationOutputTest() 476 hidl_vec_push_back(&model->operations[operation].outputs, index); in addOperationOutputTest()
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/hardware/interfaces/neuralnetworks/1.1/vts/functional/ |
D | ValidateRequest.cpp | 97 for (size_t output = 0; output < request.outputs.size(); ++output) { in removeOutputTest() 100 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); }); in removeOutputTest() 114 const MixedTyped& outputs = example.operands.second; in createRequests() local 143 for_all(outputs, [&outputs_info, &outputSize](int index, auto, auto s) { in createRequests() 186 requests.push_back({.inputs = inputs_info, .outputs = outputs_info, .pools = pools}); in createRequests()
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D | ValidateModel.cpp | 365 for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) { in mutateOperationOutputOperandIndexTest() 370 model->operations[operation].outputs[output] = invalidOperand; in mutateOperationOutputOperandIndexTest() 394 removeValueAndDecrementGreaterValues(&operation.outputs, index); in removeOperand() 454 for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) { in removeOperationOutputTest() 459 hidl_vec_removeAt(&model->operations[operation].outputs, output); in removeOperationOutputTest() 492 hidl_vec_push_back(&model->operations[operation].outputs, index); in addOperationOutputTest()
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/hardware/interfaces/neuralnetworks/1.2/vts/functional/ |
D | ValidateRequest.cpp | 173 for (size_t output = 0; output < request.outputs.size(); ++output) { in removeOutputTest() 176 [output](Request* request) { hidl_vec_removeAt(&request->outputs, output); }); in removeOutputTest() 190 const MixedTyped& outputs = example.operands.second; in createRequests() local 219 for_all(outputs, [&outputs_info, &outputSize](int index, auto, auto s) { in createRequests() 262 requests.push_back({.inputs = inputs_info, .outputs = outputs_info, .pools = pools}); in createRequests()
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D | ValidateModel.cpp | 384 if (operand == operation.outputs[0] && in mutateOperationOperandTypeSkip() 465 for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) { in mutateOperationOutputOperandIndexTest() 470 model->operations[operation].outputs[output] = invalidOperand; in mutateOperationOutputOperandIndexTest() 494 removeValueAndDecrementGreaterValues(&operation.outputs, index); in removeOperand() 505 for (const size_t outOprand : operation.outputs) { in removeOperandSkip() 515 for (const size_t outOprand : operation.outputs) { in removeOperandSkip() 643 for (size_t output = 0; output < model.operations[operation].outputs.size(); ++output) { in removeOperationOutputTest() 648 hidl_vec_removeAt(&model->operations[operation].outputs, output); in removeOperationOutputTest() 696 hidl_vec_push_back(&model->operations[operation].outputs, index); in addOperationOutputTest()
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/hardware/qcom/neuralnetworks/hvxservice/1.0/hexagon_nn_controller/ |
D | hexagon_nn_controller.h | 88 const hexagon_nn_input* inputs, unsigned int num_inputs, const hexagon_nn_output* outputs, 100 hexagon_nn_tensordef* outputs,
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/hardware/libhardware/modules/usbcamera/ |
D | Camera.cpp | 290 int outputs = 0; in isValidStreamSetLocked() local 302 outputs++; in isValidStreamSetLocked() 305 __func__, mId, outputs, inputs); in isValidStreamSetLocked() 306 if (outputs < 1) { in isValidStreamSetLocked()
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/hardware/libhardware/modules/camera/3_0/ |
D | Camera.cpp | 240 int outputs = 0; in isValidStreamSet() local 256 outputs++; in isValidStreamSet() 259 __func__, mId, outputs, inputs); in isValidStreamSet() 260 if (outputs < 1) { in isValidStreamSet()
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/hardware/invensense/6515/libsensors_iio/software/simple_apps/stress_iio/ |
D | README | 7 In the disable sequence, this will disable all but accel engine; all outputs
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/hardware/libhardware_legacy/include/hardware_legacy/ |
D | AudioPolicyManagerBase.h | 423 SortedVector<audio_io_handle_t>& outputs, 492 audio_io_handle_t selectOutput(const SortedVector<audio_io_handle_t>& outputs, 504 audio_io_handle_t selectOutputForEffects(const SortedVector<audio_io_handle_t>& outputs);
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/hardware/interfaces/gnss/2.0/ |
D | IGnssBatching.hal | 36 * As with GNSS Location outputs, source of location must be GNSS satellite
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/hardware/interfaces/neuralnetworks/1.2/ |
D | IExecutionCallback.hal | 49 * of the output operand in the Request outputs vector.
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D | IPreparedModel.hal | 120 * of the output operand in the Request outputs vector.
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/hardware/interfaces/neuralnetworks/1.0/ |
D | types.hal | 406 * More specifically, this op outputs a copy of the input tensor where 522 * outputs = activation(inputs * weights’ + bias) 1245 * outputs = state = activation(inputs * input_weights + 1332 * More specifically, this op outputs a copy of the input tensor where 1377 * * stage 1 performs filtering on the "features" dimension, whose outputs 1380 * memoized outputs of stage 1. 1386 * outputs = activation(memory * weights_time + bias); 1390 * convolving the input with every “feature filter”), and whose outputs 1709 * Describes the table that contains the indexes of the outputs of the 1712 vec<uint32_t> outputs; [all …]
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/hardware/interfaces/gnss/1.0/ |
D | IGnssBatching.hal | 35 * As with GNSS Location outputs, source of location must be GNSS satellite
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/hardware/interfaces/gnss/measurement_corrections/1.0/ |
D | types.hal | 59 * Note this value is NOT to be used to adjust the GnssMeasurementCallback outputs.
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/hardware/interfaces/neuralnetworks/1.1/ |
D | types.hal | 393 * Describes the table that contains the indexes of the outputs of the 396 vec<uint32_t> outputs;
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/hardware/libhardware/modules/camera/3_4/ |
D | README.md | 91 which provides simpler inputs and outputs around the V4L2 ioctls
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/hardware/interfaces/audio/2.0/ |
D | IStreamOut.hal | 37 * This method might produce multiple PCM outputs or hardware accelerated
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