Lines Matching refs:input
429 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
433 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
434 success = floorPrepare(input.shape(), &outShape) && in executeOperation()
436 floorFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
445 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
449 if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
450 success = dequantizePrepare(input.shape(), &outShape) && in executeOperation()
453 reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
455 input.shape()); in executeOperation()
464 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
490 Shape inputShape = input.shape(); in executeOperation()
507 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
508 success = depthwiseConvPrepare(input.shape(), filter.shape(), bias.shape(), in executeOperation()
514 depthwiseConvFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
515 input.shape(), in executeOperation()
526 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
527 success = depthwiseConvPrepare(input.shape(), filter.shape(), bias.shape(), in executeOperation()
533 depthwiseConvQuant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
534 input.shape(), in executeOperation()
554 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
577 Shape inputShape = input.shape(); in executeOperation()
594 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
595 success = convPrepare(input.shape(), filter.shape(), bias.shape(), in executeOperation()
601 convFloat32(reinterpret_cast<const float*>(input.buffer), input.shape(), in executeOperation()
608 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
609 success = convPrepare(input.shape(), filter.shape(), bias.shape(), in executeOperation()
615 convQuant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
616 input.shape(), in executeOperation()
634 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
660 Shape inputShape = input.shape(); in executeOperation()
674 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
675 success = genericPoolingPrepare(input.shape(), in executeOperation()
682 averagePoolFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
683 input.shape(), in executeOperation()
690 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
691 success = genericPoolingPrepare(input.shape(), in executeOperation()
698 averagePoolQuant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
699 input.shape(), in executeOperation()
714 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
740 Shape inputShape = input.shape(); in executeOperation()
754 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
755 success = genericPoolingPrepare(input.shape(), in executeOperation()
762 l2PoolFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
763 input.shape(), in executeOperation()
778 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
804 Shape inputShape = input.shape(); in executeOperation()
818 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
819 success = genericPoolingPrepare(input.shape(), in executeOperation()
826 maxPoolFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
827 input.shape(), in executeOperation()
834 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
835 success = genericPoolingPrepare(input.shape(), in executeOperation()
842 maxPoolQuant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
843 input.shape(), in executeOperation()
857 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
861 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
862 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
864 reluFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
865 input.shape(), in executeOperation()
868 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
869 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
871 reluQuant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
872 input.shape(), in executeOperation()
881 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
885 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
886 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
888 relu1Float32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
889 input.shape(), in executeOperation()
892 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
893 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
895 relu1Quant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
896 input.shape(), in executeOperation()
905 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
909 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
910 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
912 relu6Float32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
913 input.shape(), in executeOperation()
916 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
917 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
919 relu6Quant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
920 input.shape(), in executeOperation()
929 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
933 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
934 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
936 tanhFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
937 input.shape(), in executeOperation()
946 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
950 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
951 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
953 logisticFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
954 input.shape(), in executeOperation()
957 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
958 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
960 logisticQuant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
961 input.shape(), in executeOperation()
970 RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
980 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
981 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
983 softmaxFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
984 input.shape(), in executeOperation()
988 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
989 success = genericActivationPrepare(input.shape(), &outShape) && in executeOperation()
991 softmaxQuant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
992 input.shape(), in executeOperation()
1002 RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1011 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
1012 success = fullyConnectedPrepare(input.shape(), weights.shape(), bias.shape(), in executeOperation()
1015 fullyConnectedFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
1016 input.shape(), in executeOperation()
1024 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
1025 success = fullyConnectedPrepare(input.shape(), weights.shape(), bias.shape(), in executeOperation()
1028 fullyConnectedQuant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
1029 input.shape(), in executeOperation()
1055 RunTimeOperandInfo& input = mOperands[ins[i]]; in executeOperation() local
1056 inputShapes[i] = input.shape(); in executeOperation()
1057 inputDataPtrs[i] = reinterpret_cast<const float*>(input.buffer); in executeOperation()
1068 RunTimeOperandInfo& input = mOperands[ins[i]]; in executeOperation() local
1069 inputShapes[i] = input.shape(); in executeOperation()
1070 inputDataPtrs[i] = reinterpret_cast<const uint8_t*>(input.buffer); in executeOperation()
1083 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1087 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
1088 success = genericNormalizationPrepare(input.shape(), &outShape) && in executeOperation()
1090 l2normFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
1091 input.shape(), in executeOperation()
1094 } else if (input.type == OperandType::TENSOR_QUANT8_ASYMM) { in executeOperation()
1095 success = genericNormalizationPrepare(input.shape(), &outShape) && in executeOperation()
1097 l2normQuant8(reinterpret_cast<const uint8_t*>(input.buffer), in executeOperation()
1098 input.shape(), in executeOperation()
1107 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1116 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
1117 success = genericNormalizationPrepare(input.shape(), &outShape) && in executeOperation()
1119 localResponseNormFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
1120 input.shape(), in executeOperation()
1130 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1136 success = reshapePrepare(input.shape(), in executeOperation()
1141 reshapeGeneric(reinterpret_cast<const void*>(input.buffer), in executeOperation()
1142 input.shape(), in executeOperation()
1150 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1157 if (input.type == OperandType::TENSOR_FLOAT32) { in executeOperation()
1158 success = resizeBilinearPrepare(input.shape(), in executeOperation()
1162 resizeBilinearFloat32(reinterpret_cast<const float*>(input.buffer), in executeOperation()
1163 input.shape(), in executeOperation()
1172 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1178 success = depthToSpacePrepare(input.shape(), in executeOperation()
1182 depthToSpaceGeneric(input.buffer, in executeOperation()
1183 input.shape(), in executeOperation()
1192 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1198 success = spaceToDepthPrepare(input.shape(), in executeOperation()
1202 spaceToDepthGeneric(input.buffer, in executeOperation()
1203 input.shape(), in executeOperation()
1313 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1319 success = batchToSpacePrepare(input.shape(), in executeOperation()
1324 batchToSpaceGeneric(input.buffer, in executeOperation()
1325 input.shape(), in executeOperation()
1334 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1341 success = spaceToBatchPrepare(input.shape(), in executeOperation()
1348 spaceToBatchGeneric(input.buffer, in executeOperation()
1349 input.shape(), in executeOperation()
1360 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1366 success = padPrepare(input.shape(), in executeOperation()
1371 padGeneric(input.buffer, in executeOperation()
1372 input.shape(), in executeOperation()
1381 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1387 success = squeezePrepare(input.shape(), in executeOperation()
1392 squeezeGeneric(input.buffer, in executeOperation()
1393 input.shape(), in executeOperation()
1401 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1407 success = transposePrepare(input.shape(), in executeOperation()
1412 transposeGeneric(input.buffer, in executeOperation()
1413 input.shape(), in executeOperation()
1423 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1434 success = stridedSlicePrepare(input.shape(), in executeOperation()
1444 stridedSliceGeneric(input.buffer, in executeOperation()
1445 input.shape(), in executeOperation()
1503 const RunTimeOperandInfo& input = mOperands[ins[0]]; in executeOperation() local
1510 success = meanPrepare(input.shape(), in executeOperation()
1516 meanGeneric(input.buffer, in executeOperation()
1517 input.shape(), in executeOperation()