weights: https://paddledet.bj.bcebos.com/models/pretrained/ESNet_x1_0_pretrained.pdparams slim: OFA OFA: ofa_config: task: expand_ratio expand_ratio: [0.5, 1] skip_neck: True skip_head: True RunConfig: # Skip the output layer of each block by layer name skip_layers: ['backbone._conv1._conv','backbone.2_1._conv_linear_1._conv', 'backbone.2_1._conv_linear_2._conv', 'backbone.2_1._conv_dw_mv1._conv', 'backbone.2_1._conv_pw_mv1._conv', 'backbone.2_2._conv_linear._conv', 'backbone.2_3._conv_linear._conv', 'backbone.3_1._conv_linear_1._conv', 'backbone.3_1._conv_linear_2._conv', 'backbone.3_1._conv_dw_mv1._conv', 'backbone.3_1._conv_pw_mv1._conv', 'backbone.3_2._conv_linear._conv', 'backbone.3_3._conv_linear._conv', 'backbone.3_4._conv_linear._conv', 'backbone.3_5._conv_linear._conv', 'backbone.3_6._conv_linear._conv', 'backbone.3_7._conv_linear._conv', 'backbone.4_1._conv_linear_1._conv', 'backbone.4_1._conv_linear_2._conv', 'backbone.4_1._conv_dw_mv1._conv', 'backbone.4_1._conv_pw_mv1._conv', 'backbone.4_2._conv_linear._conv', 'backbone.4_3._conv_linear._conv'] # For block-wise search, make layers in each block in the same search sapce same_search_space: [ ['backbone.2_1._conv_dw_1._conv', 'backbone.2_1._conv_pw_2._conv', 'backbone.2_1._conv_dw_2._conv', 'backbone.2_1._se.conv1', 'backbone.2_1._se.conv2'], ['backbone.2_2._conv_pw._conv', 'backbone.2_2._conv_dw._conv', 'backbone.2_2._se.conv1', 'backbone.2_2._se.conv2'], ['backbone.2_3._conv_pw._conv', 'backbone.2_3._conv_dw._conv', 'backbone.2_3._se.conv1', 'backbone.2_3._se.conv2'], ['backbone.3_1._conv_dw_1._conv', 'backbone.3_1._conv_pw_2._conv', 'backbone.3_1._conv_dw_2._conv', 'backbone.3_1._se.conv1', 'backbone.3_1._se.conv2'], ['backbone.3_2._conv_pw._conv', 'backbone.3_2._conv_dw._conv', 'backbone.3_2._se.conv1', 'backbone.3_2._se.conv2'], ['backbone.3_3._conv_pw._conv', 'backbone.3_3._conv_dw._conv', 'backbone.3_3._se.conv1', 'backbone.3_3._se.conv2'], ['backbone.3_4._conv_pw._conv', 'backbone.3_4._conv_dw._conv', 'backbone.3_4._se.conv1', 'backbone.3_4._se.conv2'], ['backbone.3_5._conv_pw._conv', 'backbone.3_5._conv_dw._conv', 'backbone.3_5._se.conv1', 'backbone.3_5._se.conv2'], ['backbone.3_6._conv_pw._conv', 'backbone.3_6._conv_dw._conv', 'backbone.3_6._se.conv1', 'backbone.3_6._se.conv2'], ['backbone.3_7._conv_pw._conv', 'backbone.3_7._conv_dw._conv', 'backbone.3_7._se.conv1', 'backbone.3_7._se.conv2'], ['backbone.4_1._conv_dw_1._conv', 'backbone.4_1._conv_pw_2._conv', 'backbone.4_1._conv_dw_2._conv', 'backbone.4_1._se.conv1', 'backbone.4_1._se.conv2'], ['backbone.4_2._conv_pw._conv', 'backbone.4_2._conv_dw._conv', 'backbone.4_2._se.conv1', 'backbone.4_2._se.conv2'], ['backbone.4_3._conv_pw._conv', 'backbone.4_3._conv_dw._conv', 'backbone.4_3._se.conv1', 'backbone.4_3._se.conv2']] # demo expand ratio # Generally, for expand ratio, float in (0, 1] is available. # But please be careful if the model is complicated. # For picodet, there are many split and concat, the choice of channel number is important. ofa_layers: 'backbone.2_1._conv_dw_1._conv': 'expand_ratio': [0.5, 1] 'backbone.2_2._conv_pw._conv': 'expand_ratio': [0.5, 1] 'backbone.2_3._conv_pw._conv': 'expand_ratio': [0.5, 1] 'backbone.3_1._conv_dw_1._conv': 'expand_ratio': [0.5, 1] 'backbone.3_2._conv_pw._conv': 'expand_ratio': [0.5, 1] 'backbone.3_3._conv_pw._conv': 'expand_ratio': [0.5, 1] 'backbone.3_4._conv_pw._conv': 'expand_ratio': [0.5, 1] 'backbone.3_5._conv_pw._conv': 'expand_ratio': [0.5, 1] 'backbone.3_6._conv_pw._conv': 'expand_ratio': [0.5, 1] 'backbone.3_7._conv_pw._conv': 'expand_ratio': [0.5, 1] 'backbone.4_1._conv_dw_1._conv': 'expand_ratio': [0.5, 1] 'backbone.4_2._conv_pw._conv': 'expand_ratio': [0.5, 1] 'backbone.4_3._conv_pw._conv': 'expand_ratio': [0.5, 1]