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/dports/misc/darknet/darknet-darknet_yolo_v4_pre/cfg/
H A Defficientnet-lite3.cfg51 activation=relu6
62 activation=relu6
72 activation=relu6
92 activation=relu6
102 activation=relu6
131 activation=relu6
141 activation=relu6
161 activation=relu6
171 activation=relu6
200 activation=relu6
[all …]
/dports/misc/darknet/darknet-darknet_yolo_v4_pre/build/darknet/x64/cfg/
H A Defficientnet-lite3.cfg51 activation=relu6
62 activation=relu6
72 activation=relu6
92 activation=relu6
102 activation=relu6
131 activation=relu6
141 activation=relu6
161 activation=relu6
171 activation=relu6
200 activation=relu6
[all …]
/dports/misc/mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet-Gluon-ModelZoo/lib/AI/MXNet/Gluon/ModelZoo/Vision/
H A DMobileNet.pm62 :$num_group=1, :$active=1, :$relu6=0
79 _add_conv($self->out, $self->in_channels * $self->t, relu6=>1);
82 pad=>1, num_group=>$self->in_channels * $self->t, relu6=>1
84 _add_conv($self->out, $self->channels, active=>0, relu6=>1);
130 :$num_group=1, :$active=1, :$relu6=0
142 func _add_conv_dw($out, :$dw_channels=, :$channels=, :$stride=, :$relu6=0)
145 pad=>1, num_group=>$dw_channels, relu6=>$relu6);
146 _add_conv($out, channels=>$channels, relu6=>$relu6);
211 :$num_group=1, :$active=1, :$relu6=0
230 stride=>2, pad=>1, relu6=>1
[all …]
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet-Gluon-ModelZoo/lib/AI/MXNet/Gluon/ModelZoo/Vision/
H A DMobileNet.pm62 :$num_group=1, :$active=1, :$relu6=0
79 _add_conv($self->out, $self->in_channels * $self->t, relu6=>1);
82 pad=>1, num_group=>$self->in_channels * $self->t, relu6=>1
84 _add_conv($self->out, $self->channels, active=>0, relu6=>1);
130 :$num_group=1, :$active=1, :$relu6=0
142 func _add_conv_dw($out, :$dw_channels=, :$channels=, :$stride=, :$relu6=0)
145 pad=>1, num_group=>$dw_channels, relu6=>$relu6);
146 _add_conv($out, channels=>$channels, relu6=>$relu6);
211 :$num_group=1, :$active=1, :$relu6=0
230 stride=>2, pad=>1, relu6=>1
[all …]
/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/model_zoo/vision/
H A Dmobilenet.py49 num_group=1, active=True, relu6=False): argument
53 out.add(RELU6() if relu6 else nn.Activation('relu'))
56 def _add_conv_dw(out, dw_channels, channels, stride, relu6=False): argument
58 pad=1, num_group=dw_channels, relu6=relu6)
59 _add_conv(out, channels=channels, relu6=relu6)
86 _add_conv(self.out, in_channels * t, relu6=True)
88 pad=1, num_group=in_channels * t, relu6=True)
89 _add_conv(self.out, channels, active=False, relu6=True)
159 stride=2, pad=1, relu6=True)
173 _add_conv(self.features, last_channels, relu6=True)
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/model_zoo/vision/
H A Dmobilenet.py49 num_group=1, active=True, relu6=False): argument
53 out.add(RELU6() if relu6 else nn.Activation('relu'))
56 def _add_conv_dw(out, dw_channels, channels, stride, relu6=False): argument
58 pad=1, num_group=dw_channels, relu6=relu6)
59 _add_conv(out, channels=channels, relu6=relu6)
86 _add_conv(self.out, in_channels * t, relu6=True)
88 pad=1, num_group=in_channels * t, relu6=True)
89 _add_conv(self.out, channels, active=False, relu6=True)
159 stride=2, pad=1, relu6=True)
173 _add_conv(self.features, last_channels, relu6=True)
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/
H A Dmobilenet.py48 num_group=1, active=True, relu6=False, norm_layer=BatchNorm, norm_kwargs=None): argument
52 out.add(ReLU6() if relu6 else nn.Activation('relu'))
55 def _add_conv_dw(out, dw_channels, channels, stride, relu6=False, argument
58 pad=1, num_group=dw_channels, relu6=relu6,
60 _add_conv(out, channels=channels, relu6=relu6,
98 relu6=True,
106 relu6=True,
111 relu6=True,
201 stride=2, pad=1, relu6=True,
222 relu6=True,
/dports/graphics/waifu2x-ncnn-vulkan/waifu2x-ncnn-vulkan-20210521/src/ncnn/docs/developer-guide/
H A Dadd-custom-layer.zh.md10 Relu6 relu6 1 1 conv2d relu6
11 Pooling maxpool 1 1 relu6 maxpool 0=0 1=3 2=2 3=-233 4=0
16 ## 定义源码h文件：src/layer/relu6.h
41 ## 定义源码CPP文件：src/layer/relu6.cpp
44 #include "relu6.h"
96 #include "layer/relu6.h"
/dports/benchmarks/vkpeak/vkpeak-20210430/ncnn/docs/developer-guide/
H A Dadd-custom-layer.zh.md10 Relu6 relu6 1 1 conv2d relu6
11 Pooling maxpool 1 1 relu6 maxpool 0=0 1=3 2=2 3=-233 4=0
16 ## 定义源码h文件：src/layer/relu6.h
41 ## 定义源码CPP文件：src/layer/relu6.cpp
44 #include "relu6.h"
96 #include "layer/relu6.h"
/dports/misc/ncnn/ncnn-20211208/docs/developer-guide/
H A Dadd-custom-layer.zh.md10 Relu6 relu6 1 1 conv2d relu6
11 Pooling maxpool 1 1 relu6 maxpool 0=0 1=3 2=2 3=-233 4=0
16 ## 定义源码h文件：src/layer/relu6.h
41 ## 定义源码CPP文件：src/layer/relu6.cpp
44 #include "relu6.h"
96 #include "layer/relu6.h"
/dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/docs/developer-guide/
H A Dadd-custom-layer.zh.md10 Relu6 relu6 1 1 conv2d relu6
11 Pooling maxpool 1 1 relu6 maxpool 0=0 1=3 2=2 3=-233 4=0
16 ## 定义源码h文件：src/layer/relu6.h
41 ## 定义源码CPP文件：src/layer/relu6.cpp
44 #include "relu6.h"
96 #include "layer/relu6.h"
/dports/graphics/realsr-ncnn-vulkan/realsr-ncnn-vulkan-20210210/src/ncnn/docs/developer-guide/
H A Dadd-custom-layer.zh.md10 Relu6 relu6 1 1 conv2d relu6
11 Pooling maxpool 1 1 relu6 maxpool 0=0 1=3 2=2 3=-233 4=0
16 ## 定义源码h文件：src/layer/relu6.h
41 ## 定义源码CPP文件：src/layer/relu6.cpp
44 #include "relu6.h"
96 #include "layer/relu6.h"
/dports/misc/mnn/MNN-1.2.0/tools/converter/source/caffe/
H A DClip.cpp27 auto relu6 = new MNN::Relu6T; in run() local
28 relu6->minValue = parameters.clip_param().min(); in run()
29 relu6->maxValue = parameters.clip_param().max(); in run()
30 dstOp->main.value = relu6; in run()
/dports/misc/ncnn/ncnn-20211208/tools/pnnx/tests/
H A Dtest_F_relu6.py24 x = F.relu6(x)
25 y = F.relu6(y)
26 z = F.relu6(z)
27 w = F.relu6(w)
/dports/misc/mnn/MNN-1.2.0/source/backend/hiai/execution/
H A DNPUConvolutionInt8.cpp105 auto relu6 = conv2DCommon->relu6(); in onResize() local
106 if (relu || relu6) { in onResize()
112 if (relu || relu6) { in onResize()
164 auto relu6 = conv2DCommon->relu6(); in onResize() local
165 if (relu || relu6) { in onResize()
171 if (relu || relu6) { in onResize()
H A DNPUDeconvolution.cpp93 auto relu6 = conv2DCommon->relu6(); in onResize() local
94 if (relu || relu6) { in onResize()
100 if (relu || relu6) { in onResize()
/dports/misc/mnn/MNN-1.2.0/tools/converter/source/optimizer/postconvert/
H A DMergeRelu6ToConvolution.cpp19 convolutionOp->main.AsConvolution2D()->common->relu6 = true; in merge2Convolution()
23 convolutionOp->main.AsConvolution2D()->common->relu6 = true; in merge2Convolution()
32 convolutionOp->main.AsConvolution3D()->common->relu6 = true; in merge2Convolution3D()
/dports/misc/mnn/MNN-1.2.0/source/backend/tensorrt/execution/
H A DTRTDeconvolution.cpp62 auto relu6 = conv2DCommon->relu6(); in onEncode() local
68 if (relu6) { in onEncode()
74 if (relu || relu6) { in onEncode()
H A DTRTDepthwiseDeconvolution.cpp62 auto relu6 = conv2DCommon->relu6(); in onEncode() local
68 if (relu6) { in onEncode()
74 if (relu || relu6) { in onEncode()
H A DTRTDepthwiseConvolution.cpp67 auto relu6 = conv2DCommon->relu6(); in onEncode() local
73 if (relu6) { in onEncode()
79 if (relu || relu6) { in onEncode()
/dports/misc/ncnn/ncnn-20211208/tools/pnnx/tests/ncnn/
H A Dtest_F_relu6.py24 x = F.relu6(x)
25 y = F.relu6(y)
26 z = F.relu6(z)
/dports/misc/tvm/incubator-tvm-0.6.1/tests/python/frontend/mxnet/model_zoo/
H A Dvgg.py41 relu6 = mx.sym.Activation(data=fc6, act_type="relu", name="relu6")
42 drop6 = mx.sym.Dropout(data=relu6, p=0.5, name="drop6")
49 relu6 = mx.sym.Activation(data=fc6, act_type="relu", name="relu6")
50 drop6 = mx.sym.Dropout(data=relu6, p=0.5, name="drop6")
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/frontend/mxnet/model_zoo/
H A Dvgg.py59 relu6 = mx.sym.Activation(data=fc6, act_type="relu", name="relu6")
60 drop6 = mx.sym.Dropout(data=relu6, p=0.5, name="drop6")
67 relu6 = mx.sym.Activation(data=fc6, act_type="relu", name="relu6")
68 drop6 = mx.sym.Dropout(data=relu6, p=0.5, name="drop6")
/dports/misc/py-tvm/incubator-tvm-0.6.1/tests/python/frontend/mxnet/model_zoo/
H A Dvgg.py41 relu6 = mx.sym.Activation(data=fc6, act_type="relu", name="relu6")
42 drop6 = mx.sym.Dropout(data=relu6, p=0.5, name="drop6")
49 relu6 = mx.sym.Activation(data=fc6, act_type="relu", name="relu6")
50 drop6 = mx.sym.Dropout(data=relu6, p=0.5, name="drop6")
/dports/misc/tvm/incubator-tvm-0.6.1/nnvm/tests/python/frontend/mxnet/model_zoo/
H A Dvgg.py41 relu6 = mx.sym.Activation(data=fc6, act_type="relu", name="relu6")
42 drop6 = mx.sym.Dropout(data=relu6, p=0.5, name="drop6")
49 relu6 = mx.sym.Activation(data=fc6, act_type="relu", name="relu6")
50 drop6 = mx.sym.Dropout(data=relu6, p=0.5, name="drop6")

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