Searched refs:outs (Results 1 – 10 of 10) sorted by relevance
184 const std::vector<uint32_t>& outs = operation.outputs; in Create() local206 for (size_t k = 0; k < outs.size(); k++) { in Create()207 if (isScalarType(operands[outs[k]].type)) continue; in Create()208 const int t = outs[k]; in Create()564 const hardware::hidl_vec<uint32_t>& outs = operation.outputs; in VisitAbsNode() local566 NN_DRIVER_RETURN_IF_ERROR(CheckTensorFloatType(operands[outs[0]].type)); in VisitAbsNode()571 /*output_id=*/xnnpackTensors[outs[0]], /*flags=*/0); in VisitAbsNode()584 const hardware::hidl_vec<uint32_t>& outs = operation.outputs; in VisitAddNode() local588 NN_DRIVER_RETURN_IF_ERROR(CheckTensorFloatType(operands[outs[0]].type)); in VisitAddNode()601 /*output_id=*/xnnpackTensors[outs[0]], /*flags=*/0); in VisitAddNode()[all …]
740 const std::vector<uint32_t>& outs = operation.outputs; in executeOperation() local749 auto allParametersPresent = [&operation, &operands, &ins, &outs](size_t requiredIns, in executeOperation()785 return verify(requiredIns, ins, "in") && verify(requiredOuts, outs, "out") && in executeOperation()801 RunTimeOperandInfo& output = operands[outs[0]]; in executeOperation()819 RunTimeOperandInfo& output = operands[outs[0]]; in executeOperation()883 RunTimeOperandInfo& output = operands[outs[0]]; in executeOperation()945 RunTimeOperandInfo& output = operands[outs[EmbeddingLookup::kOutputTensor]]; in executeOperation()961 RunTimeOperandInfo& output = operands[outs[HashtableLookup::kOutputTensor]]; in executeOperation()962 RunTimeOperandInfo& hits = operands[outs[HashtableLookup::kHitsTensor]]; in executeOperation()973 RunTimeOperandInfo& output = operands[outs[LSHProjection::kOutputTensor]]; in executeOperation()[all …]
268 self.outs = []430 def __init__(self, optype, ins, outs): argument433 self.SetOutputs(outs)438 outsString = GetJointStr(self.outs)446 def SetOutputs(self, outs): argument447 self.outs = list(outs)492 for o in operation.outs:502 outs = args[0]504 outs = args505 self.operations[-1].SetOutputs(outs)[all …]
123 for o in op.outs:131 layers[node] = min([layers[o] for o in node.outs], default=layers[node]+1) - 1153 for tensor in op.outs:211 "outputs": ", ".join(FormatOperand(o) for o in op.outs),
110 "numberOfConsumers": len(operand.outs),125 "outputs": [op.model_index for op in operation.outs],
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