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/dports/graphics/waifu2x-ncnn-vulkan/waifu2x-ncnn-vulkan-20210521/src/ncnn/docs/developer-guide/
H A Dtensorflow-op-combination.md1 ## batchnorm section
H A Doperators.md41 # batchnorm chapter
/dports/benchmarks/vkpeak/vkpeak-20210430/ncnn/docs/developer-guide/
H A Dtensorflow-op-combination.md1 ## batchnorm section
H A Doperators.md41 # batchnorm chapter
/dports/misc/ncnn/ncnn-20211208/docs/developer-guide/
H A Dtensorflow-op-combination.md1 ## batchnorm section
/dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/docs/developer-guide/
H A Dtensorflow-op-combination.md1 ## batchnorm section
H A Doperators.md41 # batchnorm chapter
/dports/graphics/realsr-ncnn-vulkan/realsr-ncnn-vulkan-20210210/src/ncnn/docs/developer-guide/
H A Dtensorflow-op-combination.md1 ## batchnorm section
H A Doperators.md41 # batchnorm chapter
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/speech_recognition/
H A Dstt_layer_batchnorm.py21 def batchnorm(net, function
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/speech_recognition/
H A Dstt_layer_batchnorm.py21 def batchnorm(net, function
/dports/misc/mnn/MNN-1.2.0/tools/converter/source/optimizer/tfextra/
H A DTFBatchNormalMerge.cpp25 auto batchnorm = BatchNormalOp->main.AsBatchNorm(); in onExecute() local
/dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/tools/
H A Dncnnoptimize.cpp124 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[i]; in fuse_batchnorm_scale() local
186 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolution_batchnorm() local
444 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolutiondepthwise_batchnorm() local
702 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolution_batchnorm() local
960 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolutiondepthwise_batchnorm() local
1043 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_innerproduct_batchnorm() local
/dports/graphics/waifu2x-ncnn-vulkan/waifu2x-ncnn-vulkan-20210521/src/ncnn/tools/
H A Dncnnoptimize.cpp124 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[i]; in fuse_batchnorm_scale() local
186 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolution_batchnorm() local
444 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolutiondepthwise_batchnorm() local
702 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolution_batchnorm() local
960 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolutiondepthwise_batchnorm() local
1043 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_innerproduct_batchnorm() local
/dports/benchmarks/vkpeak/vkpeak-20210430/ncnn/tools/
H A Dncnnoptimize.cpp123 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[i]; in fuse_batchnorm_scale() local
185 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolution_batchnorm() local
443 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolutiondepthwise_batchnorm() local
701 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolution_batchnorm() local
959 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolutiondepthwise_batchnorm() local
1042 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_innerproduct_batchnorm() local
/dports/misc/ncnn/ncnn-20211208/tools/
H A Dncnnoptimize.cpp124 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[i]; in fuse_batchnorm_scale() local
186 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolution_batchnorm() local
451 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolutiondepthwise_batchnorm() local
716 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolution_batchnorm() local
981 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolutiondepthwise_batchnorm() local
1064 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_innerproduct_batchnorm() local
/dports/misc/mnn/MNN-1.2.0/tools/converter/source/optimizer/onnxextra/
H A DOnnxBatchNormMerge.cpp56 std::unique_ptr<MNN::BatchNormT> batchnorm(new MNN::BatchNormT); in onExecute() local
/dports/graphics/realsr-ncnn-vulkan/realsr-ncnn-vulkan-20210210/src/ncnn/tools/
H A Dncnnoptimize.cpp336 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[i]; in fuse_batchnorm_scale() local
398 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolution_batchnorm() local
656 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_convolutiondepthwise_batchnorm() local
914 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolution_batchnorm() local
1172 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_deconvolutiondepthwise_batchnorm() local
1255 ncnn::BatchNorm* batchnorm = (ncnn::BatchNorm*)layers[j]; in fuse_innerproduct_batchnorm() local
/dports/games/leela-zero/leela-zero-0.17/src/
H A DCPUPipe.cpp355 void batchnorm(const size_t channels, in batchnorm() function
H A DNetwork.cpp629 void batchnorm(const size_t channels, in batchnorm() function
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/nn/
H A Dbatch_norm.cc40 namespace batchnorm { namespace
H A Dbatch_norm.cu55 namespace batchnorm { namespace
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/nn/
H A Dbatch_norm.cc40 namespace batchnorm { namespace
H A Dbatch_norm.cu55 namespace batchnorm { namespace
/dports/misc/mnn/MNN-1.2.0/source/backend/coreml/mlmodel/proto/
H A DNeuralNetwork.proto485 BatchnormLayerParams batchnorm = 160; field

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