operation param weight table

nihui edited this page Mar 4, 2018 · 7 revisions
operation param id param phase default value weight order
AbsVal
ArgMax TODO
BatchNorm 0 channels 0 slope mean variance bias
Bias 0 bias_data_size 0
BNLL
Concat 0 axis 0
Convolution 0 num_output 0 weight bias
1 kernel_w 0
11 kernel_h kernel_w
2 dilation_w 1
12 dilation_h dilation_w
3 stride_w 1
13 stride_h stride_w
4 pad_w 0
14 pad_h pad_w
5 bias_term 0
6 weight_data_size 0
Crop 0 woffset 0
1 hoffset 0
Deconvolution 0 num_output 0 weight bias
1 kernel_w 0
11 kernel_h kernel_w
2 dilation_w 1
12 dilation_h dilation_w
3 stride_w 1
13 stride_h stride_w
4 pad_w 0
14 pad_h pad_w
5 bias_term 0
6 weight_data_size 0
Dropout 0 scale 1.f
Eltwise 0 op_type 0
1 coeffs [ ]
ELU 0 alpha 0.1f
Embed 0 num_output 0 weight bias
1 input_dim 0
2 bias_term 0
3 weight_data_size 0
Exp 0 base -1.f
1 scale 1.f
2 shift 0.f
Flatten
InnerProduct 0 num_output 0 weight bias
1 bias_term 0
2 weight_data_size 0
Input 0 w 0
1 h 0
2 c 0
Log 0 base -1.f
1 scale 1.f
2 shift 0.f
LRN 0 region_type 0
1 local_size 5
2 alpha 1.f
3 beta 0.75f
MemoryData 0 w 0
1 h 0
2 c 0
MVN 0 normalize_variance 0
1 across_channels 0
2 eps 0.0001f
Pooling 0 pooling_type 0
1 kernel_w 0
11 kernel_h kernel_w
2 stride_w 1
12 stride_h stride_w
3 pad_left 0
14 pad_right pad_left
13 pad_top pad_left
15 pad_bottom pad_top
4 global_pooling 0
5 pad_mode 0
Power 0 power 1.f
1 scale 1.f
2 shift 0.f
PReLU 0 num_slope 0 slope
Proposal 0 feat_stride 16
1 base_size 16
2 pre_nms_topN 6000
3 after_nms_topN 300
4 num_thresh 0.7f
5 min_size 16
Reduction 0 operation 0
1 dim 0
2 coeff 1.f
ReLU 0 slope 0.f
Reshape 0 w -233
1 h -233
2 c -233
ROIPooling 0 pooled_width 0
1 pooled_height 0
2 spatial_scale 1.f
Scale 0 scale_data_size 0 scale bias
1 bias_term 0
Sigmoid
Slice 0 slices [ ]
1 axis 0
Softmax 0 axis 0
Split
SPP TODO
TanH
Threshold 0 threshold 0.f
Tile TODO
RNN TODO
LSTM TODO
BinaryOp 0 op_type 0
1 with_scalar 0
2 b 0.f
UnaryOp 0 op_type 0
ConvolutionDepthWise 0 num_output 0 weight bias
1 kernel_w 0
11 kernel_h kernel_w
2 dilation_w 1
12 dilation_h dilation_w
3 stride_w 1
13 stride_h stride_w
4 pad_w 0
14 pad_h pad_w
5 bias_term 0
6 weight_data_size 0
7 group 1
Padding 0 top 0
1 bottom 0
2 left 0
3 right 0
4 type 0
5 value 0.f
Squeeze 0 squeeze_w 0
1 squeeze_h 0
2 squeeze_c 0
ExpandDims 0 expand_w 0
1 expand_h 0
2 expand_c 0
Normalize 0 across_spatial 0 scale
4 across_channel 0
1 channel_shared 0
2 eps 0.0001f
3 scale_data_size 0
Permute 0 order_type 0
PriorBox 0 min_sizes [ ]
1 max_sizes [ ]
2 aspect_ratios [ ]
3 varainces[0] 0.f
4 varainces[1] 0.f
5 varainces[2] 0.f
6 varainces[3] 0.f
7 flip 1
8 clip 0
9 image_width 0
10 image_height 0
11 step_width -233.f
12 step_height -233.f
13 offset 0.f
DetectionOutput 0 num_class 0
1 num_threshold 0.05f
2 num_top_k 300
3 keep_top_k 100
4 confidende_threshold 0.5f
Interp 0 resize_type 0
1 height_scale 1.f
2 width_scale 1.f
3 output_height 0
4 output_width 0
DeconvolutionDepthWise 0 num_output 0 weight bias
1 kernel_w 0
11 kernel_h kernel_w
2 dilation_w 1
12 dilation_h dilation_w
3 stride_w 1
13 stride_h stride_w
4 pad_w 0
14 pad_h pad_w
5 bias_term 0
6 weight_data_size 0
7 group 1
ShuffleChannel 0 group 1
InstanceNorm 0 channels 0 gamma bias
1 eps 0.001f
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