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Add more classification demo for ACT (PaddlePaddle#1188)
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93 changes: 93 additions & 0 deletions
93
demo/auto_compression/image_classification/configs/EfficientNetB0/prune_dis.yaml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,93 @@ | ||
| Global: | ||
| input_name: x | ||
| model_dir: EfficientNetB0_infer | ||
| model_filename: inference.pdmodel | ||
| params_filename: inference.pdiparams | ||
| batch_size: 32 | ||
| data_dir: /ILSVRC2012 | ||
|
|
||
| Distillation: | ||
| alpha: 1.0 | ||
| loss: l2 | ||
| node: | ||
| - softmax_1.tmp_0 | ||
| ChannelPrune: | ||
| pruned_ratio: 0.25 | ||
| prune_params_name: | ||
| - _blocks.0._se_reduce_weights | ||
| - _blocks.0._se_expand_weights | ||
| - _blocks.0._project_conv_weights | ||
| - _blocks.1._expand_conv_weights | ||
| - _blocks.1._se_reduce_weights | ||
| - _blocks.1._se_expand_weights | ||
| - _blocks.1._project_conv_weights | ||
| - _blocks.2._expand_conv_weights | ||
| - _blocks.2._se_reduce_weights | ||
| - _blocks.2._se_expand_weights | ||
| - _blocks.2._project_conv_weights | ||
| - _blocks.3._expand_conv_weights | ||
| - _blocks.3._se_reduce_weights | ||
| - _blocks.3._se_expand_weights | ||
| - _blocks.3._project_conv_weights | ||
| - _blocks.4._expand_conv_weights | ||
| - _blocks.4._se_reduce_weights | ||
| - _blocks.4._se_expand_weights | ||
| - _blocks.4._project_conv_weights | ||
| - _blocks.5._expand_conv_weights | ||
| - _blocks.5._se_reduce_weights | ||
| - _blocks.5._se_expand_weights | ||
| - _blocks.5._project_conv_weights | ||
| - _blocks.6._expand_conv_weights | ||
| - _blocks.6._se_reduce_weights | ||
| - _blocks.6._se_expand_weights | ||
| - _blocks.6._project_conv_weights | ||
| - _blocks.7._expand_conv_weights | ||
| - _blocks.7._se_reduce_weights | ||
| - _blocks.7._se_expand_weights | ||
| - _blocks.7._project_conv_weights | ||
| - _blocks.8._expand_conv_weights | ||
| - _blocks.8._se_reduce_weights | ||
| - _blocks.8._se_expand_weights | ||
| - _blocks.8._project_conv_weights | ||
| - _blocks.9._expand_conv_weights | ||
| - _blocks.9._se_reduce_weights | ||
| - _blocks.9._se_expand_weights | ||
| - _blocks.9._project_conv_weights | ||
| - _blocks.10._expand_conv_weights | ||
| - _blocks.10._se_reduce_weights | ||
| - _blocks.10._se_expand_weights | ||
| - _blocks.10._project_conv_weights | ||
| - _blocks.11._expand_conv_weights | ||
| - _blocks.11._se_reduce_weights | ||
| - _blocks.11._se_expand_weights | ||
| - _blocks.11._project_conv_weights | ||
| - _blocks.12._expand_conv_weights | ||
| - _blocks.12._se_reduce_weights | ||
| - _blocks.12._se_expand_weights | ||
| - _blocks.12._project_conv_weights | ||
| - _blocks.13._expand_conv_weights | ||
| - _blocks.13._se_reduce_weights | ||
| - _blocks.13._se_expand_weights | ||
| - _blocks.13._project_conv_weights | ||
| - _blocks.14._expand_conv_weights | ||
| - _blocks.14._se_reduce_weights | ||
| - _blocks.14._se_expand_weights | ||
| - _blocks.14._project_conv_weights | ||
| - _blocks.15._expand_conv_weights | ||
| - _blocks.15._se_reduce_weights | ||
| - _blocks.15._se_expand_weights | ||
| - _blocks.15._project_conv_weights | ||
| - _conv_head_weights | ||
| criterion: l1_norm | ||
| TrainConfig: | ||
| epochs: 1 | ||
| eval_iter: 500 | ||
| learning_rate: | ||
| type: CosineAnnealingDecay | ||
| learning_rate: 0.015 | ||
| T_max: 500 | ||
| optimizer_builder: | ||
| optimizer: | ||
| type: Momentum | ||
| weight_decay: 0.00002 | ||
| origin_metric: 0.7738 |
37 changes: 37 additions & 0 deletions
37
demo/auto_compression/image_classification/configs/EfficientNetB0/qat_dis.yaml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,37 @@ | ||
| Global: | ||
| input_name: x | ||
| model_dir: EfficientNetB0_infer | ||
| model_filename: inference.pdmodel | ||
| params_filename: inference.pdiparams | ||
| batch_size: 32 | ||
| data_dir: /ILSVRC2012 | ||
|
|
||
| Distillation: | ||
| alpha: 1.0 | ||
| loss: l2 | ||
| node: | ||
| - softmax_1.tmp_0 | ||
| Quantization: | ||
| use_pact: true | ||
| activation_bits: 8 | ||
| is_full_quantize: false | ||
| activation_quantize_type: range_abs_max | ||
| weight_quantize_type: channel_wise_abs_max | ||
| not_quant_pattern: | ||
| - skip_quant | ||
| quantize_op_types: | ||
| - conv2d | ||
| - depthwise_conv2d | ||
| weight_bits: 8 | ||
| TrainConfig: | ||
| epochs: 1 | ||
| eval_iter: 500 | ||
| learning_rate: | ||
| type: CosineAnnealingDecay | ||
| learning_rate: 0.015 | ||
| T_max: 5000 | ||
| optimizer_builder: | ||
| optimizer: | ||
| type: Momentum | ||
| weight_decay: 0.00002 | ||
| origin_metric: 0.7738 |
69 changes: 69 additions & 0 deletions
69
demo/auto_compression/image_classification/configs/GhostNet_x1_0/prune_dis.yaml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,69 @@ | ||
| Global: | ||
| input_name: inputs | ||
| model_dir: GhostNet_x1_0_infer | ||
| model_filename: inference.pdmodel | ||
| params_filename: inference.pdiparams | ||
| batch_size: 32 | ||
| data_dir: /ILSVRC2012 | ||
|
|
||
| Distillation: | ||
| alpha: 1.0 | ||
| loss: l2 | ||
| node: | ||
| - softmax_0.tmp_0 | ||
| ChannelPrune: | ||
| pruned_ratio: 0.25 | ||
| criterion: l1_norm | ||
| prune_params_name: | ||
| - conv1_weights | ||
| - _ghostbottleneck_0_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_0_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_1_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_1_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_1_shortcut_conv_weights | ||
| - _ghostbottleneck_2_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_2_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_3_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_3_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_3_shortcut_conv_weights | ||
| - _ghostbottleneck_4_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_4_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_5_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_5_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_5_shortcut_conv_weights | ||
| - _ghostbottleneck_6_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_6_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_7_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_7_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_8_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_8_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_9_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_9_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_9_shortcut_conv_weights | ||
| - _ghostbottleneck_10_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_10_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_11_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_11_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_11_shortcut_conv_weights | ||
| - _ghostbottleneck_12_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_12_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_13_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_13_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_14_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_14_ghost_module_2_primary_conv_weights | ||
| - _ghostbottleneck_15_ghost_module_1_primary_conv_weights | ||
| - _ghostbottleneck_15_ghost_module_2_primary_conv_weights | ||
| - conv_last_weights | ||
| - fc_0_weights | ||
| TrainConfig: | ||
| epochs: 1 | ||
| eval_iter: 500 | ||
| learning_rate: | ||
| type: CosineAnnealingDecay | ||
| learning_rate: 0.015 | ||
| T_max: 5000 | ||
| optimizer_builder: | ||
| optimizer: | ||
| type: Momentum | ||
| weight_decay: 0.00002 | ||
| origin_metric: 0.7402 |
36 changes: 36 additions & 0 deletions
36
demo/auto_compression/image_classification/configs/GhostNet_x1_0/qat_dis.yaml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,36 @@ | ||
| Global: | ||
| input_name: inputs | ||
| model_dir: GhostNet_x1_0_infer | ||
| model_filename: inference.pdmodel | ||
| params_filename: inference.pdiparams | ||
| batch_size: 32 | ||
| data_dir: /ILSVRC2012 | ||
|
|
||
| Distillation: | ||
| alpha: 1.0 | ||
| loss: l2 | ||
| node: | ||
| - softmax_0.tmp_0 | ||
| Quantization: | ||
| use_pact: true | ||
| activation_bits: 8 | ||
| is_full_quantize: false | ||
| activation_quantize_type: range_abs_max | ||
| weight_quantize_type: channel_wise_abs_max | ||
| not_quant_pattern: | ||
| - skip_quant | ||
| quantize_op_types: | ||
| - conv2d | ||
| - depthwise_conv2d | ||
| weight_bits: 8 | ||
| TrainConfig: | ||
| epochs: 1 | ||
| eval_iter: 500 | ||
| learning_rate: | ||
| type: CosineAnnealingDecay | ||
| learning_rate: 0.015 | ||
| T_max: 5000 | ||
| optimizer_builder: | ||
| optimizer: | ||
| type: Momentum | ||
| weight_decay: 0.00002 |
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