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operation param weight table · Tencent/ncnn Wiki · GitHub
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operation param weight table
wiki-sync-bot edited this page Jul 24, 2025
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1 revision
| operation | param id | param phase | default value | weight order |
|---|---|---|---|---|
| AbsVal | ||||
| ArgMax | 0 | out_max_val | 0 | |
| 1 | topk | 1 | ||
| BatchNorm | 0 | channels | 0 | slope mean variance bias |
| 1 | eps | 0.f | ||
| Bias | 0 | bias_data_size | 0 | |
| BinaryOp | 0 | op_type | 0 | |
| 1 | with_scalar | 0 | ||
| 2 | b | 0.f | ||
| BNLL | ||||
| Cast | 0 | type_from | 0 | |
| 1 | type_to | 0 | ||
| Clip | 0 | min | -FLT_MAX | |
| 1 | max | FLT_MAX | ||
| Concat | 0 | axis | 0 | |
| Convolution | 0 | num_output | 0 | weight bias |
| 1 | kernel_w | 0 | ||
| 2 | dilation_w | 1 | ||
| 3 | stride_w | 1 | ||
| 4 | pad_left | 0 | ||
| 5 | bias_term | 0 | ||
| 6 | weight_data_size | 0 | ||
| 8 | int8_scale_term | 0 | ||
| 9 | activation_type | 0 | ||
| 10 | activation_params | [ ] | ||
| 11 | kernel_h | kernel_w | ||
| 12 | dilation_h | dilation_w | ||
| 13 | stride_h | stride_w | ||
| 15 | pad_right | pad_left | ||
| 14 | pad_top | pad_left | ||
| 16 | pad_bottom | pad_top | ||
| 17 | impl_type | 0 | ||
| 18 | pad_value | 0.f | ||
| ConvolutionDepthWise | 0 | num_output | 0 | weight bias |
| 1 | kernel_w | 0 | ||
| 2 | dilation_w | 1 | ||
| 3 | stride_w | 1 | ||
| 4 | pad_left | 0 | ||
| 5 | bias_term | 0 | ||
| 6 | weight_data_size | 0 | ||
| 7 | group | 1 | ||
| 8 | int8_scale_term | 0 | ||
| 9 | activation_type | 0 | ||
| 10 | activation_params | [ ] | ||
| 11 | kernel_h | kernel_w | ||
| 12 | dilation_h | dilation_w | ||
| 13 | stride_h | stride_w | ||
| 15 | pad_right | pad_left | ||
| 14 | pad_top | pad_left | ||
| 16 | pad_bottom | pad_top | ||
| 18 | pad_value | 0.f | ||
| Crop | 0 | woffset | 0 | |
| 1 | hoffset | 0 | ||
| 2 | coffset | 0 | ||
| 3 | outw | 0 | ||
| 4 | outh | 0 | ||
| 5 | outc | 0 | ||
| 6 | woffset2 | 0 | ||
| 7 | hoffset2 | 0 | ||
| 8 | coffset2 | 0 | ||
| 9 | starts | [ ] | ||
| 10 | ends | [ ] | ||
| 11 | axes | [ ] | ||
| Deconvolution | 0 | num_output | 0 | weight bias |
| 1 | kernel_w | 0 | ||
| 2 | dilation_w | 1 | ||
| 3 | stride_w | 1 | ||
| 4 | pad_left | 0 | ||
| 5 | bias_term | 0 | ||
| 6 | weight_data_size | 0 | ||
| 9 | activation_type | 0 | ||
| 10 | activation_params | [ ] | ||
| 11 | kernel_h | kernel_w | ||
| 12 | dilation_h | dilation_w | ||
| 13 | stride_h | stride_w | ||
| 15 | pad_right | pad_left | ||
| 14 | pad_top | pad_left | ||
| 16 | pad_bottom | pad_top | ||
| 18 | output_pad_right | 0 | ||
| 19 | output_pad_bottom | output_pad_right | ||
| 20 | output_w | 0 | ||
| 21 | output_h | output_w | ||
| DeconvolutionDepthWise | 0 | num_output | 0 | weight bias |
| 1 | kernel_w | 0 | ||
| 2 | dilation_w | 1 | ||
| 3 | stride_w | 1 | ||
| 4 | pad_left | 0 | ||
| 5 | bias_term | 0 | ||
| 6 | weight_data_size | 0 | ||
| 7 | group | 1 | ||
| 9 | activation_type | 0 | ||
| 10 | activation_params | [ ] | ||
| 11 | kernel_h | kernel_w | ||
| 12 | dilation_h | dilation_w | ||
| 13 | stride_h | stride_w | ||
| 15 | pad_right | pad_left | ||
| 14 | pad_top | pad_left | ||
| 16 | pad_bottom | pad_top | ||
| 18 | output_pad_right | 0 | ||
| 19 | output_pad_bottom | output_pad_right | ||
| 20 | output_w | 0 | ||
| 21 | output_h | output_w | ||
| Dequantize | 0 | scale | 1.f | bias |
| 1 | bias_term | 0 | ||
| 2 | bias_data_size | 0 | ||
| DetectionOutput | 0 | num_class | 0 | |
| 1 | nms_threshold | 0.05f | ||
| 2 | nms_top_k | 300 | ||
| 3 | keep_top_k | 100 | ||
| 4 | confidence_threshold | 0.5f | ||
| 5 | variances[0] | 0.1f | ||
| 6 | variances[1] | 0.1f | ||
| 7 | variances[2] | 0.2f | ||
| 8 | variances[3] | 0.2f | ||
| 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 | ||
| ExpandDims | 0 | expand_w | 0 | |
| 1 | expand_h | 0 | ||
| 2 | expand_c | 0 | ||
| 3 | axes | [ ] | ||
| Flatten | ||||
| HardSigmoid | 0 | alpha | 0.2f | |
| 1 | beta | 0.5f | ||
| HardSwish | 0 | alpha | 0.2f | |
| 1 | beta | 0.5f | ||
| InnerProduct | 0 | num_output | 0 | weight bias |
| 1 | bias_term | 0 | ||
| 2 | weight_data_size | 0 | ||
| 8 | int8_scale_term | 0 | ||
| 9 | activation_type | 0 | ||
| 10 | activation_params | [ ] | ||
| Input | 0 | w | 0 | |
| 1 | h | 0 | ||
| 2 | c | 0 | ||
| InstanceNorm | 0 | channels | 0 | gamma bias |
| 1 | eps | 0.001f | ||
| Interp | 0 | resize_type | 0 | |
| 1 | height_scale | 1.f | ||
| 2 | width_scale | 1.f | ||
| 3 | output_height | 0 | ||
| 4 | output_width | 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 | ||
| 4 | bias | 1.f | ||
| LSTM | 0 | num_output | 0 | |
| 1 | weight_data_size | 1 | ||
| 2 | direction | 0 | ||
| MemoryData | 0 | w | 0 | |
| 1 | h | 0 | ||
| 2 | c | 0 | ||
| Mish | ||||
| MVN | 0 | normalize_variance | 0 | |
| 1 | across_channels | 0 | ||
| 2 | eps | 0.0001f | ||
| Noop | ||||
| Normalize | 0 | across_spatial | 0 | scale |
| 4 | across_channel | 0 | ||
| 1 | channel_shared | 0 | ||
| 2 | eps | 0.0001f | ||
| 9 | eps_mode | 0 | ||
| 3 | scale_data_size | 0 | ||
| Packing | 0 | out_packing | 1 | |
| 1 | use_padding | 0 | ||
| 2 | cast_type_from | 0 | ||
| 3 | cast_type_to | 0 | ||
| 4 | storage_type_from | 0 | ||
| 5 | storage_type_to | 0 | ||
| Padding | 0 | top | 0 | per_channel_pad_data |
| 1 | bottom | 0 | ||
| 2 | left | 0 | ||
| 3 | right | 0 | ||
| 4 | type | 0 | ||
| 5 | value | 0.f | ||
| 6 | per_channel_pad_data_size | 0 | ||
| 7 | front | 0 | ||
| 8 | behind | 0 | ||
| Permute | 0 | order_type | 0 | |
| PixelShuffle | 0 | upscale_factor | 1 | |
| Pooling | 0 | pooling_type(0: max 1: avg) | 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 |
| 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 | ||
| 14 | step_mmdetection | 0 | ||
| 15 | center_mmdetection | 0 | ||
| 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 | ||
| PSROIPooling | 0 | pooled_width | 7 | |
| 1 | pooled_height | 7 | ||
| 2 | spatial_scale | 0.0625f | ||
| 3 | output_dim | 0 | ||
| Quantize | 0 | scale | 1.f | |
| Reduction | 0 | operation | 0 | |
| 1 | dim | 0 | ||
| 2 | coeff | 1.f | ||
| 3 | axes | [ ] | ||
| 4 | keepdims | 0 | ||
| ReLU | 0 | slope | 0.f | |
| Reorg | 0 | stride | 0 | |
| Requantize | 0 | scale_in | 1.f | bias |
| 1 | scale_out | 1.f | ||
| 2 | bias_term | 0 | ||
| 3 | bias_data_size | 0 | ||
| 4 | fusion_relu | 0 | ||
| Reshape | 0 | w | -233 | |
| 1 | h | -233 | ||
| 2 | c | -233 | ||
| 3 | permute | 0 | ||
| ROIAlign | 0 | pooled_width | 0 | |
| 1 | pooled_height | 0 | ||
| 2 | spatial_scale | 1.f | ||
| 3 | sampling_ratio | 0 | ||
| 4 | aligned | 0 | ||
| 5 | version | 0 | ||
| 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 | ||
| SELU | 0 | alpha | 1.67326324f | |
| 1 | lambda | 1.050700987f | ||
| ShuffleChannel | 0 | group | 1 | |
| Sigmoid | ||||
| Slice | 0 | slices | [ ] | |
| 1 | axis | 0 | ||
| Softmax | 0 | axis | 0 | |
| Split | ||||
| SPP | 0 | pooling_type | 0 | |
| 1 | pyramid_height | 1 | ||
| Squeeze | 0 | squeeze_w | 0 | |
| 1 | squeeze_h | 0 | ||
| 2 | squeeze_c | 0 | ||
| 3 | axes | [ ] | ||
| StatisticsPooling | 0 | include_stddev | 0 | |
| Swish | ||||
| TanH | ||||
| Threshold | 0 | threshold | 0.f | |
| Tile | 0 | dim | 0 | |
| 1 | tiles | 1 | ||
| UnaryOp | 0 | op_type | 0 | |
| YoloDetectionOutput | 0 | num_class | 20 | |
| 1 | num_box | 5 | ||
| 2 | confidence_threshold | 0.01f | ||
| 3 | num_threshold | 0.45f | ||
| 4 | biases | [] | ||
| Yolov3DetectionOutput | 0 | num_class | 20 | |
| 1 | num_box | 5 | ||
| 2 | confidence_threshold | 0.01f | ||
| 3 | num_threshold | 0.45f | ||
| 4 | biases | [] | ||
| 5 | mask | [] | ||
| 6 | anchors_scale | [] | ||
| RNN | 0 | num_output | 0 | |
| 1 | weight_data_size | 0 | ||
| 2 | direction | 0 | ||
| MultiHeadAttention | 0 | embed_dim | 0 | |
| 1 | num_head | 1 | ||
| 2 | weight_data_size | 0 |
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