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/dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/include/
H A DSoftmaxWithLoss.hpp39 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
H A DSplit.hpp99 vector<Tensor *>tenTop_; member in SplitNode
H A DEltwise.hpp107 Tensor* tenTop_; // Output tensor pointer member in EltwiseNode
H A DReLU.hpp110 Tensor* tenTop_; // Output tensor pointer member in ReLUNode
H A DConcat.hpp107 Tensor* tenTop_; // Output tensor pointer member in ConcatNode
H A DSoftmaxLoss.hpp107 Tensor *tenTop_; member in SoftmaxLossNode
H A DDropout.hpp119 Tensor *tenTop_; // Output tensor pointer member in DropoutNode
H A DDummyData.hpp209 vector<Tensor*> tenTop_; member in DummyDataNode
H A DFullyConnected.hpp207 Tensor *tenTop_=NULL; // Output tensor pointer member in FCNode
H A DPooling.hpp280 Tensor* tenTop_; // Output tensor pointer member in PoolingNode
/dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/src/
H A DDummyData.cpp27 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()
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H A DSplit.cpp51 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()
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H A DEltwise.cpp31 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()
H A DDropout.cpp34 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()
H A DSoftmaxLoss.cpp34 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()
H A DConcat.cpp31 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()
H A DReLU.cpp32 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()
H A DLMDBData.cpp30 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()
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H A DImageData.cpp37 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()
H A DPooling.cpp27 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()
H A DJitterData.cpp30 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()
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H A DFullyConnected.cpp30 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()
H A DFusedBNorm.cpp31 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()
H A DConv.cpp38 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()
H A DFusedConvBN.cpp34 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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