| /dports/misc/mnn/MNN-1.2.0/source/geometry/ |
| H A D | GeometryComputerUtils.cpp | 57 if (info.op->type() != OpType_Const) { in buildConstantTensors()
91 if (info.op->type() == OpType_Const) { in buildConstantTensors()
114 if (info.op->type() == OpType_Const) { in buildConstantTensors()
160 if (info.op->type() == OpType_Const) { in buildConstantTensors()
182 if (info.op->type() == OpType_Const) { in shapeComputeAndGeometryTransform()
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| /dports/misc/mnn/MNN-1.2.0/tools/converter/source/tensorflow/ |
| H A D | ConstTf.cpp | 18 return MNN::OpType_Const; in opType()
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| H A D | OpMapper.hpp | 25 {"Const", MNN::OpType_Const}, // Not All Const op to MNN!!!
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| /dports/misc/mnn/MNN-1.2.0/tools/converter/source/onnx/ |
| H A D | ConstantOnnx.cpp | 14 return MNN::OpType_Const; in opType()
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| H A D | onnxConverter.cpp | 107 constOp->type = MNN::OpType_Const; in onnx2MNNNet()
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| /dports/misc/mnn/MNN-1.2.0/source/shape/ |
| H A D | ShapeConst.cpp | 39 REGISTER_SHAPE(ConstComputer, OpType_Const);
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| /dports/misc/mnn/MNN-1.2.0/tools/converter/source/optimizer/postconvert/ |
| H A D | TransformOnnxPad.cpp | 18 paddingConst->type = OpType_Const; in onExecute()
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| H A D | AddTensorType.cpp | 38 if (op->type == MNN::OpType_Const) { in onExecute()
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| H A D | TransformShuffleChannel.cpp | 44 constOp->type = OpType_Const; in onExecute()
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| H A D | AddTensorFormatConverter.cpp | 78 case OpType_Const: in _OpNeedConvertContent()
215 gatherIndex->type = OpType_Const; in onExecute()
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| /dports/misc/mnn/MNN-1.2.0/tools/converter/source/optimizer/merge/ |
| H A D | ConstantFolding.cpp | 33 if ((input_op && input_op->type() != OpType_Const) || in ConstantFolding()
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| H A D | MergeHelpers.cpp | 15 if ((op && op->type() == OpType_Const) || (!op && expr->inputType() == VARP::CONSTANT)) { in IsConstant()
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| /dports/misc/mnn/MNN-1.2.0/tools/train/source/exec/ |
| H A D | dataTransformer.cpp | 111 newOp->type = OpType_Const; in main()
143 newOp->type = OpType_Const; in main()
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| H A D | rawDataTransform.cpp | 53 newOp->type = OpType_Const; in main()
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| H A D | train.cpp | 108 MNN_ASSERT(OpType_Const == netC->oplists()->GetAs<Op>(i)->type()); in main()
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| /dports/misc/mnn/MNN-1.2.0/source/backend/cpu/ |
| H A D | CPUConst.cpp | 56 REGISTER_CPU_OP_CREATOR(CPUConstCreator, OpType_Const);
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| /dports/misc/mnn/MNN-1.2.0/tools/converter/source/torch/ |
| H A D | ConstantTorch.cpp | 15 return MNN::OpType_Const; in opType()
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| /dports/misc/mnn/MNN-1.2.0/tools/converter/source/tflite/ |
| H A D | liteConverter.cpp | 48 mnnConstantOp->type = MNN::OpType_Const; in _converteConstantDataToMNNConstantNode()
190 newOp->type = MNN::OpType_Const; in tflite2MNNNet()
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| /dports/misc/mnn/MNN-1.2.0/tools/train/source/transformer/ |
| H A D | OpConverter.cpp | 52 weight->type = OpType_Const; in convert()
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| /dports/misc/mnn/MNN-1.2.0/tools/converter/source/optimizer/ |
| H A D | PostConverter.cpp | 305 if (op->type == MNN::OpType_Const) { in fuseConstIntoSubgraph()
343 subOp->type = MNN::OpType_Const; in fuseConstIntoSubgraph()
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| /dports/misc/mnn/MNN-1.2.0/source/core/ |
| H A D | Session.cpp | 243 …ge() == Usage_INFERENCE || net->usage() == Usage_INFERENCE_STATIC) && op->type() != OpType_Const) { in updateToModel()
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| H A D | Schedule.cpp | 96 if (OpType_Const == op->type()) { in _setUpTensorInfo()
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| H A D | OpCommonUtils.cpp | 325 case OpType_Const: in opNeedContent()
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| /dports/misc/mnn/MNN-1.2.0/tools/converter/source/common/ |
| H A D | convertToStaticModel.cpp | 67 op->type = OpType_Const; in genStaticModel()
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| /dports/misc/mnn/MNN-1.2.0/express/ |
| H A D | Expr.cpp | 208 if (OpType_Const == op->type || OpType_TrainableParam == op->type) { in create()
870 op->type = OpType_Const; in save()
|