/dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/include/ |
H A D | SoftmaxWithLoss.hpp | 39 this->tenTop_ = new Tensor(NNNode::top_); in SoftmaxLossNode() 40 assert(this->tenTop_ != NULL); in SoftmaxLossNode() 41 this->tenTop_->setOwner(this); in SoftmaxLossNode() 42 tenTopData_ = tenTop_->getBuf(DATA); in SoftmaxLossNode() 51 this->tenTop_->setBufDataType(DATA, dtype); in SoftmaxLossNode() 60 tenTop_->setShape(&ts_); in SoftmaxLossNode() 73 this->tenTop_->setDataBufferSize(DATA, size); in SoftmaxLossNode() 76 bool inserted = e->register_tensor(NNNode::top_, this->tenTop_); in SoftmaxLossNode() 113 Tensor *tenBot_, *tenTop_; member in SoftmaxLossNode
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H A D | Split.hpp | 99 vector<Tensor *>tenTop_; member in SplitNode
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H A D | Eltwise.hpp | 107 Tensor* tenTop_; // Output tensor pointer member in EltwiseNode
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H A D | ReLU.hpp | 110 Tensor* tenTop_; // Output tensor pointer member in ReLUNode
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H A D | Concat.hpp | 107 Tensor* tenTop_; // Output tensor pointer member in ConcatNode
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H A D | SoftmaxLoss.hpp | 107 Tensor *tenTop_; member in SoftmaxLossNode
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H A D | Dropout.hpp | 119 Tensor *tenTop_; // Output tensor pointer member in DropoutNode
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H A D | DummyData.hpp | 209 vector<Tensor*> tenTop_; member in DummyDataNode
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H A D | FullyConnected.hpp | 207 Tensor *tenTop_=NULL; // Output tensor pointer member in FCNode
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H A D | Pooling.hpp | 280 Tensor* tenTop_; // Output tensor pointer member in PoolingNode
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/dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/src/ |
H A D | DummyData.cpp | 27 tenTop_.resize(top_.size()); in DummyDataNode() 31 tenTop_[i] = new Tensor(top_[i]); in DummyDataNode() 32 assert(tenTop_[i] != NULL); in DummyDataNode() 33 tenTop_[i]->setOwner(this); in DummyDataNode() 34 tenTopData_[i] = tenTop_[i]->getBuf(DATA); in DummyDataNode() 38 tenTop_[i]->setType(INPUT); in DummyDataNode() 48 tenTop_[i]->setShape(ts_); in DummyDataNode() 87 tenTop_[i]->setType(LABEL); in DummyDataNode() 100 tenTop_[i]->setShape(ts); in DummyDataNode() 139 Shape *ts = tenTop_[0]->getShape(); in fillData() [all …]
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H A D | Split.cpp | 51 tenTop_.resize(top_.size()); in SplitNode() 56 tenTop_[i] = new Tensor(top_[i]); in SplitNode() 57 assert(tenTop_[i] != NULL); in SplitNode() 58 tenTop_[i]->setOwner(this); in SplitNode() 60 tenTop_[i]->setType(LABEL); in SplitNode() 62 tenTop_[i]->setType(ACT); in SplitNode() 71 tenTop_[i]->setShape(&ts); in SplitNode() 196 Shape *ts = tenTop_[i]->getShape(); in forwardPropagate() 204 Shape *ts = tenTop_[i]->getShape(); in forwardPropagate() 228 for(int i=0; i<tenTop_.size(); i++) in backPropagate() [all …]
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H A D | Eltwise.cpp | 31 tenTop_ = new Tensor(top_[0]); in EltwiseNode() 32 assert(tenTop_ != NULL); in EltwiseNode() 33 tenTop_->setOwner(this); in EltwiseNode() 34 tenTop_->setType(ACT); in EltwiseNode() 35 tenTopData_ = tenTop_->getBuf(DATA); in EltwiseNode() 110 tenTop_->setShape(&ts); in EltwiseNode() 124 bool inserted = e->register_tensor(NNNode::top_[0], ACT, tenTop_); in EltwiseNode() 205 Shape *ts = tenTop_->getShape(); in forwardPropagate() 215 tenTopDiff_ = tenTop_->getBuf(DIFF); in backPropagate() 236 Shape *ts = tenTop_->getShape(); in backPropagate()
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H A D | Dropout.cpp | 34 tenTop_ = new Tensor(top_[0]); in DropoutNode() 35 assert(tenTop_ != NULL); in DropoutNode() 36 tenTop_->setOwner(this); in DropoutNode() 37 tenTop_->setType(ACT); in DropoutNode() 38 tenTopData_ = tenTop_->getBuf(DATA); in DropoutNode() 65 tenTop_->setShape(&ts); in DropoutNode() 116 bool inserted = e->register_tensor(top_[0], ACT, tenTop_); in DropoutNode() 201 TensorBuf *tenTopDiff = tenTop_->getBuf(DIFF); in backPropagate()
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H A D | SoftmaxLoss.cpp | 34 tenTop_ = new Tensor(top_[0]); in SoftmaxLossNode() 35 assert(tenTop_ != NULL); in SoftmaxLossNode() 36 tenTop_->setOwner(this); in SoftmaxLossNode() 37 tenTop_->setType(ACT); in SoftmaxLossNode() 38 tenTopData_ = tenTop_->getBuf(DATA); in SoftmaxLossNode() 73 tenTop_->setShape(&ts_); in SoftmaxLossNode() 118 bool inserted = e->register_tensor(top_[0], ACT, this->tenTop_); in SoftmaxLossNode()
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H A D | Concat.cpp | 31 tenTop_ = new Tensor(top_[0]); in ConcatNode() 32 assert(tenTop_ != NULL); in ConcatNode() 33 tenTop_->setOwner(this); in ConcatNode() 34 tenTop_->setType(ACT); in ConcatNode() 35 tenTopData_ = tenTop_->getBuf(DATA); in ConcatNode() 110 tenTop_->setShape(&ts); in ConcatNode() 124 bool inserted = e->register_tensor(NNNode::top_[0], ACT, tenTop_); in ConcatNode() 223 tenTopDiff_ = tenTop_->getBuf(DIFF); in backPropagate()
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H A D | ReLU.cpp | 32 tenTop_ = new Tensor(top_[0]); in ReLUNode() 33 assert(tenTop_ != NULL); in ReLUNode() 34 tenTop_->setOwner(this); in ReLUNode() 35 tenTop_->setType(ACT); in ReLUNode() 36 tenTopData_ = tenTop_->getBuf(DATA); in ReLUNode() 60 tenTop_->setShape(bs); in ReLUNode() 99 bool inserted = e->register_tensor(top_[0], ACT, tenTop_); in ReLUNode() 189 tenTopDiff_ = tenTop_->getBuf(DIFF); in backPropagate()
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H A D | LMDBData.cpp | 30 tenTop_.resize(top_.size()); in LMDBDataNode() 40 tenTop_[i] = new Tensor(top_[i]); in LMDBDataNode() 41 assert(tenTop_[i] != NULL); in LMDBDataNode() 42 tenTop_[i]->setOwner(this); in LMDBDataNode() 43 tenTopData_[i] = tenTop_[i]->getBuf(DATA); in LMDBDataNode() 47 tenTop_[i]->setType(INPUT); in LMDBDataNode() 73 tenTop_[i]->setShape(&tts); in LMDBDataNode() 88 bool inserted = e->register_tensor(top_[i], INPUT, tenTop_[i]); in LMDBDataNode() 94 tenTop_[i]->setType(LABEL); in LMDBDataNode() 106 tenTop_[i]->setShape(&tts); in LMDBDataNode() [all …]
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H A D | ImageData.cpp | 37 tenTop_.push_back(new Tensor(top_[i])); in ImageDataNode() 38 assert(tenTop_[i] != NULL); in ImageDataNode() 39 tenTop_[i]->setOwner(this); in ImageDataNode() 40 tenTopData_.push_back(tenTop_[i]->getBuf(DATA)); in ImageDataNode() 44 tenTop_[i]->setType(INPUT); in ImageDataNode() 64 tenTop_[i]->setShape(&tts); in ImageDataNode() 79 bool inserted = e->register_tensor(NNNode::top_[i], INPUT, tenTop_[i]); in ImageDataNode() 86 tenTop_[i]->setType(LABEL); in ImageDataNode() 98 tenTop_[i]->setShape(&tts); in ImageDataNode() 111 bool inserted = e->register_tensor(NNNode::top_[i], LABEL, tenTop_[i]); in ImageDataNode()
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H A D | Pooling.cpp | 27 tenTop_ = new Tensor(top_[0]); in PoolingNode() 28 assert(tenTop_ != NULL); in PoolingNode() 29 tenTop_->setOwner(this); in PoolingNode() 30 tenTop_->setType(ACT); in PoolingNode() 31 tenTopData_ = tenTop_->getBuf(DATA); in PoolingNode() 95 tenTop_->setShape(&ts_); in PoolingNode() 139 bool inserted = e->register_tensor(top_[0], ACT, this->tenTop_); in PoolingNode() 316 tenTopDiff_ = tenTop_->getBuf(DIFF); in backPropagate()
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H A D | JitterData.cpp | 30 tenTop_.resize(top_.size()); in JitterDataNode() 40 tenTop_[i] = new Tensor(top_[i]); in JitterDataNode() 41 assert(tenTop_[i] != NULL); in JitterDataNode() 42 tenTop_[i]->setOwner(this); in JitterDataNode() 43 tenTopData_[i] = tenTop_[i]->getBuf(DATA); in JitterDataNode() 47 tenTop_[i]->setType(INPUT); in JitterDataNode() 71 tenTop_[i]->setShape(&tts); in JitterDataNode() 96 bool inserted = e->register_tensor(top_[i], INPUT, tenTop_[i]); in JitterDataNode() 102 tenTop_[i]->setType(LABEL); in JitterDataNode() 114 tenTop_[i]->setShape(&tts); in JitterDataNode() [all …]
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H A D | FullyConnected.cpp | 30 tenTop_ = new Tensor(top_[0]); in FCNode() 31 assert(tenTop_ != NULL); in FCNode() 32 tenTop_->setOwner(this); in FCNode() 33 tenTop_->setType(ACT); in FCNode() 34 tenTopData_ = tenTop_->getBuf(DATA); in FCNode() 74 tenTop_->setShape(&ts_); in FCNode() 234 bool inserted = e->register_tensor(top_[0], ACT, tenTop_); in FCNode() 645 tenTopDiff_ = tenTop_->getBuf(DIFF); in backPropagate() 735 tenTopDiff_ = tenTop_->getBuf(DIFF); in weightUpdate()
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H A D | FusedBNorm.cpp | 31 tenTop_ = new Tensor(top_[0]); in FusedBNormNode() 32 assert(tenTop_ != NULL); in FusedBNormNode() 33 tenTop_->setOwner(this); in FusedBNormNode() 34 tenTop_->setType(ACT); in FusedBNormNode() 35 tenTopData_ = tenTop_->getBuf(DATA); in FusedBNormNode() 81 tenTop_->setShape(&ts_); in FusedBNormNode() 220 bool inserted = e->register_tensor(top_[0], ACT, tenTop_); in FusedBNormNode() 677 tenTopDiff_ = tenTop_->getBuf(DIFF); in backPropagate()
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H A D | Conv.cpp | 38 tenTop_ = new Tensor(top_[0]); in ConvNode() 39 assert(tenTop_ != NULL); in ConvNode() 40 tenTop_->setOwner(this); in ConvNode() 41 tenTop_->setType(ACT); in ConvNode() 42 tenTopData_ = tenTop_->getBuf(DATA); in ConvNode() 88 tenTop_->setShape(&ts_); in ConvNode() 252 bool inserted = e->register_tensor(top_[0], ACT, tenTop_); in ConvNode() 858 tenTopDiff_ = tenTop_->getBuf(DIFF); in backPropagate() 1036 tenTopDiff_ = tenTop_->getBuf(DIFF); in weightUpdate()
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H A D | FusedConvBN.cpp | 34 tenTop_ = new Tensor(top_[0]); in FusedConvBNNode() 35 assert(tenTop_ != NULL); in FusedConvBNNode() 36 tenTop_->setOwner(this); in FusedConvBNNode() 37 tenTop_->setType(ACT); in FusedConvBNNode() 38 tenTopData_ = tenTop_->getBuf(DATA); in FusedConvBNNode() 104 tenTop_->setShape(&ts_); in FusedConvBNNode() 297 bool inserted = e->register_tensor(top_[0], ACT, tenTop_); in FusedConvBNNode() 890 tenTopDiff_ = tenTop_->getBuf(DIFF); in backPropagate() 1124 tenTopDiff_ = tenTop_->getBuf(DIFF); in weightUpdate()
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