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Types & classes879 in github.com/dromara/Omega-AI

⨍ Functions 13,024◇ Types & classes 879

Llama-2 @author Administrator

src/main/java/com/omega/engine/nn/network/ASR.java:21

ClassASRDecoder

ASRDecoder @author Administrator

src/main/java/com/omega/engine/nn/layer/asr/ASRDecoder.java:21

ClassASRDecoderLayer

ASRDecoderLayer @author Administrator

src/main/java/com/omega/engine/nn/layer/asr/ASRDecoderLayer.java:18

ClassASREncoder

ASREncoder @author Administrator

src/main/java/com/omega/engine/nn/layer/asr/ASREncoder.java:21

ClassASREncoderLayer

ASREncoderLayer @author Administrator

src/main/java/com/omega/engine/nn/layer/asr/ASREncoderLayer.java:18

ClassASRPoswiseFeedForwardLinearLayer

PoswiseFeedForward Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/asr/ASRPoswiseFeedForwardLinearLayer.java:20

src/main/java/com/omega/example/asr/test/ASRTest.java:26

ClassASRTransformer

ASRTransformer @author Administrator

src/main/java/com/omega/engine/nn/layer/asr/ASRTransformer.java:19

ATanOP @author Administrator

src/main/java/com/omega/engine/ad/op/functions/ATanOP.java:13

ClassAVGPoolingKernel

src/main/java/com/omega/engine/nn/layer/gpu/AVGPoolingKernel.java:15

ClassAVGPoolingLayer

src/main/java/com/omega/engine/nn/layer/AVGPoolingLayer.java:7

ClassActiveFunction

base active function @author lijiaming @ClassName: ActiveFunction @date 2020年7月24日 @Description: TODO(用一句话描述该文件做什么)

src/main/java/com/omega/engine/active/ActiveFunction.java:18

ClassActiveFunctionLayer

src/main/java/com/omega/engine/nn/layer/active/ActiveFunctionLayer.java:6

layer type @author Administrator

src/main/java/com/omega/engine/active/ActiveType.java:8

Adam Updater @author Administrator

src/main/java/com/omega/engine/updater/Adam.java:13

src/main/java/com/omega/engine/updater/jobs/AdamJob.java:6

ClassAdamKernel

src/main/java/com/omega/engine/updater/gpu/AdamKernel.java:17

Adam Updater @author Administrator

src/main/java/com/omega/engine/updater/AdamW.java:23

ClassAdamWKernel

src/main/java/com/omega/engine/updater/gpu/AdamWKernel.java:20

ClassAdaptiveAvgPool2DKernel

src/main/java/com/omega/engine/nn/layer/gpu/AdaptiveAvgPool2DKernel.java:14

ClassAdaptiveAvgPool2DLayer

src/main/java/com/omega/engine/nn/layer/AdaptiveAvgPool2DLayer.java:7

src/main/java/com/omega/common/utils/AddDemo.java:7

加法操作 @author Administrator

src/main/java/com/omega/engine/ad/op/sign/AddOP.java:13

ClassAlexnetTest

src/main/java/com/omega/example/alexnet/test/AlexnetTest.java:18

ClassAnchorBoxUtils

src/main/java/com/omega/example/yolo/utils/AnchorBoxUtils.java:12

ClassAttentionBlock3D

AttentionBlock3D @author Administrator

src/main/java/com/omega/engine/nn/layer/opensora/vae/modules/AttentionBlock3D.java:29

ClassAttentionKernel

src/main/java/com/omega/engine/nn/layer/gpu/AttentionKernel.java:18

ClassAttentionLayer

DiTAttentionLayer4 @author Administrator

src/main/java/com/omega/engine/nn/layer/dit/mmjit/AttentionLayer.java:29

ClassAudioDataset

src/main/java/com/omega/example/asr/dataset/AudioDataset.java:17

二分类loss @author Administrator

src/main/java/com/omega/engine/loss/BCELoss.java:15

ClassBCELossKernel

src/main/java/com/omega/engine/loss/gpu/BCELossKernel.java:13

ClassBCEWithLogitsLoss

二分类loss @author Administrator

src/main/java/com/omega/engine/loss/BCEWithLogitsLoss.java:12

ClassBCEWithLogitsLossKernel

src/main/java/com/omega/engine/loss/gpu/BCEWithLogitsLossKernel.java:13

ClassBGDOptimizer

Batch Gradient Descent @author Administrator

src/main/java/com/omega/engine/optimizer/BGDOptimizer.java:15

ClassBNBaseKernel

src/main/java/com/omega/engine/nn/layer/gpu/BNBaseKernel.java:8

ClassBNCudnnKernel

BNCudnnKernel @author Administrator

src/main/java/com/omega/engine/gpu/cudnn/BNCudnnKernel.java:25

src/main/java/com/omega/engine/gpu/BNKernel.java:24

src/main/java/com/omega/engine/nn/layer/normalization/gpu/BNKernel.java:20

mean = batch均值 : 1/n∑xi <p> var = batch方差 : 1/n∑(xi - mean)^2 <p> std = sqrt(var + eta) <p> xhati = (xi - mean) / std <p> yi = gama xhati + beta

src/main/java/com/omega/engine/nn/layer/normalization/gpu/BNKernel2.java:39

mean = batch均值 : 1/n∑xi <p> var = batch方差 : 1/n∑(xi - mean)^2 <p> std = sqrt(var + eta) <p> xhati = (xi - mean) / std <p> yi = gama xhati + beta

src/main/java/com/omega/engine/nn/layer/normalization/gpu/BNKernel3.java:38

Batch Normalization Layer @author Administrator <p> <p> <p> mean = ∑x / m <p> std = (∑(x - mean)^2 / m)^1/2 <p> zi = (xi - mean) / std <p> yi = gama

src/main/java/com/omega/engine/nn/layer/normalization/BNLayer.java:33

fully_bn,conv_bn @author Administrator

src/main/java/com/omega/engine/nn/layer/normalization/BNType.java:8

ClassBPETokenizer

src/main/java/com/omega/example/transformer/utils/BPETokenizer.java:11

ClassBPETokenizer2

src/main/java/com/omega/example/transformer/utils/bpe/BPETokenizer2.java:13

ClassBPETokenizer3

bpe tokenizer @author Administrator

src/main/java/com/omega/example/transformer/utils/bpe/BPETokenizer3.java:16

ClassBPETokenizerEN

bpe tokenizer @author Administrator

src/main/java/com/omega/example/transformer/utils/bpe/BPETokenizerEN.java:18

BackPropagation Neuron NetWok @author Administrator

src/main/java/com/omega/engine/nn/network/BPNetwork.java:17

src/main/java/com/omega/example/bp/test/BPTest.java:18

src/main/java/com/omega/engine/check/BaseCheck.java:5

src/main/java/com/omega/engine/nn/data/BaseData.java:6

ClassBaseDataLoader

src/main/java/com/omega/example/yolo/data/BaseDataLoader.java:5

ClassBaseKernel

src/main/java/com/omega/engine/gpu/BaseKernel.java:15

ClassBaseRNNLayer

src/main/java/com/omega/engine/nn/layer/BaseRNNLayer.java:5

ClassBaseTokenizer

src/main/java/com/omega/example/transformer/utils/BaseTokenizer.java:3

ClassBasicBlockKernel

src/main/java/com/omega/engine/nn/layer/gpu/BasicBlockKernel.java:12

ClassBasicBlockLayer

resnet block layer @author Administrator

src/main/java/com/omega/engine/nn/layer/BasicBlockLayer.java:16

ClassBasicTokenizer

src/main/java/com/omega/example/transformer/tokenizer/bertTokenizer/BasicTokenizer.java:6

ClassBatchTokenizerUtils

src/main/java/com/omega/example/transformer/utils/tokenizers/BatchTokenizerUtils.java:21

BertAttention Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/bert/Bert.java:17

ClassBertAttentionLayer

BertAttention Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/bert/BertAttentionLayer.java:17

ClassBertAttnOutputLayer

BertAttnOutput Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/bert/BertAttnOutputLayer.java:19

ClassBertEmbeddingsLayer

BertEmbeddings Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/bert/BertEmbeddingsLayer.java:20

ClassBertEncoderLayer

BertEncoder Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/bert/BertEncoderLayer.java:19

ClassBertIntermediateLayer

BertIntermediate Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/bert/BertIntermediateLayer.java:22

Bert Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/bert/BertLayer.java:17

ClassBertOutputLayer

BertOutput Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/bert/BertOutputLayer.java:21

ClassBertSelfAttentionLayer

BertSelfAttentionLayer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/bert/BertSelfAttentionLayer.java:29

ClassBertTokenizer

Constructs a BERT tokenizer. Based on WordPiece. <p> <p> <p> This tokenizer inherits from :class:`~transformers.PreTrainedTokenizer` which <p> contain

src/main/java/com/omega/example/transformer/tokenizer/bertTokenizer/BertTokenizer.java:106

src/main/java/com/omega/example/dit/models/BetaType.java:3

ClassBiasKernel

BiasKernel @author Administrator

src/main/java/com/omega/engine/nn/layer/gpu/BiasKernel.java:17

EnumBinDataType

src/main/java/com/omega/example/transformer/utils/bpe/BinDataType.java:3

ClassBinFileUtils

src/main/java/com/omega/example/transformer/utils/BinFileUtils.java:8

Blob @author Administrator

src/main/java/com/omega/engine/nn/data/Blob.java:10

BlobData @author Administrator

src/main/java/com/omega/engine/nn/data/BlobData.java:8

Blob opt utils @author Administrator

src/main/java/com/omega/engine/nn/data/Blobs.java:10

ClassBottleneckPatchEmbed

BottleneckPatchEmbed @author Administrator

src/main/java/com/omega/engine/nn/layer/jit/BottleneckPatchEmbed.java:19

ClassBoundingBox

src/main/java/com/omega/example/yolo/test/deepsort/BoundingBox.java:10

src/main/java/com/omega/example/yolo/data/BoxLabel.java:3

conv + bn + activefunction @author Administrator

src/main/java/com/omega/engine/nn/layer/CBLLayer.java:15

ClassCLIPAttentionLayer

CausalSelfAttentionLayer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/CLIPAttentionLayer.java:31

ClassCLIPEncoderLayer

Transformer Decoder Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/CLIPEncoderLayer.java:19

ClassCLIPMLPLayer

PoswiseFeedForward Layer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/CLIPMLPLayer.java:22

src/main/java/com/omega/example/clip/test/CLIPTest.java:19

ClassCLIPTextEmbeddingLayer

CLIPTextEmbeddingLayer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/CLIPTextEmbeddingLayer.java:20

ClassCLIPTextTransformer

CLIPVisionTransformer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/CLIPTextTransformer.java:21

ClassCLIPVisionEmbeddingLayer

CausalSelfAttentionLayer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/CLIPVisionEmbeddingLayer.java:22

ClassCLIPVisionTransformer

CLIPVisionTransformer @author Administrator

src/main/java/com/omega/engine/nn/layer/clip/CLIPVisionTransformer.java:20

ClassCNBpeTokenizer

src/main/java/com/omega/example/transformer/utils/bpe/CNBpeTokenizer.java:17

ClassCNChatTokenizer

src/main/java/com/omega/example/transformer/utils/CNChatTokenizer.java:12

ClassCNChatTokenizer2

src/main/java/com/omega/example/transformer/utils/CNChatTokenizer2.java:17

Convolutional Neural Networks @author Administrator

src/main/java/com/omega/engine/nn/network/CNN.java:18

src/main/java/com/omega/example/cnn/test/CNNTest.java:19

ClassCNTokenizer

src/main/java/com/omega/example/transformer/utils/CNTokenizer.java:15

ClassCNWikiTokenizer

src/main/java/com/omega/example/transformer/utils/CNWikiTokenizer.java:12

ClassCNWikiTokenizer2

src/main/java/com/omega/example/transformer/utils/CNWikiTokenizer2.java:13

ClassCNWikiTokenizer3

src/main/java/com/omega/example/transformer/utils/CNWikiTokenizer3.java:14

ClassCNWikiTokenizer4

src/main/java/com/omega/example/transformer/utils/CNWikiTokenizer4.java:14

ClassCUDACommonManager

src/main/java/com/omega/engine/parallel/cuda/CUDACommonManager.java:7

ClassCUDAKernel

src/main/java/com/omega/engine/gpu/CUDAKernel.java:3

ClassCUDAManager

src/main/java/com/omega/engine/gpu/CUDAManager.java:30

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