You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
pytorch-image-models/timm/models/pruned/efficientnet_b2_pruned.txt

1 line
18 KiB

conv_stem.weight:[32, 3, 3, 3]***bn1.weight:[32]***bn1.bias:[32]***bn1.running_mean:[32]***bn1.running_var:[32]***bn1.num_batches_tracked:[]***blocks.0.0.conv_dw.weight:[32, 1, 3, 3]***blocks.0.0.bn1.weight:[32]***blocks.0.0.bn1.bias:[32]***blocks.0.0.bn1.running_mean:[32]***blocks.0.0.bn1.running_var:[32]***blocks.0.0.bn1.num_batches_tracked:[]***blocks.0.0.se.conv_reduce.weight:[8, 32, 1, 1]***blocks.0.0.se.conv_reduce.bias:[8]***blocks.0.0.se.conv_expand.weight:[32, 8, 1, 1]***blocks.0.0.se.conv_expand.bias:[32]***blocks.0.0.conv_pw.weight:[16, 32, 1, 1]***blocks.0.0.bn2.weight:[16]***blocks.0.0.bn2.bias:[16]***blocks.0.0.bn2.running_mean:[16]***blocks.0.0.bn2.running_var:[16]***blocks.0.0.bn2.num_batches_tracked:[]***blocks.0.1.conv_dw.weight:[16, 1, 3, 3]***blocks.0.1.bn1.weight:[16]***blocks.0.1.bn1.bias:[16]***blocks.0.1.bn1.running_mean:[16]***blocks.0.1.bn1.running_var:[16]***blocks.0.1.bn1.num_batches_tracked:[]***blocks.0.1.se.conv_reduce.weight:[4, 16, 1, 1]***blocks.0.1.se.conv_reduce.bias:[4]***blocks.0.1.se.conv_expand.weight:[16, 4, 1, 1]***blocks.0.1.se.conv_expand.bias:[16]***blocks.0.1.conv_pw.weight:[16, 16, 1, 1]***blocks.0.1.bn2.weight:[16]***blocks.0.1.bn2.bias:[16]***blocks.0.1.bn2.running_mean:[16]***blocks.0.1.bn2.running_var:[16]***blocks.0.1.bn2.num_batches_tracked:[]***blocks.1.0.conv_pw.weight:[54, 16, 1, 1]***blocks.1.0.bn1.weight:[54]***blocks.1.0.bn1.bias:[54]***blocks.1.0.bn1.running_mean:[54]***blocks.1.0.bn1.running_var:[54]***blocks.1.0.bn1.num_batches_tracked:[]***blocks.1.0.conv_dw.weight:[54, 1, 3, 3]***blocks.1.0.bn2.weight:[54]***blocks.1.0.bn2.bias:[54]***blocks.1.0.bn2.running_mean:[54]***blocks.1.0.bn2.running_var:[54]***blocks.1.0.bn2.num_batches_tracked:[]***blocks.1.0.se.conv_reduce.weight:[4, 54, 1, 1]***blocks.1.0.se.conv_reduce.bias:[4]***blocks.1.0.se.conv_expand.weight:[54, 4, 1, 1]***blocks.1.0.se.conv_expand.bias:[54]***blocks.1.0.conv_pwl.weight:[17, 54, 1, 1]***blocks.1.0.bn3.weight:[17]***blocks.1.0.bn3.bias:[17]***blocks.1.0.bn3.running_mean:[17]***blocks.1.0.bn3.running_var:[17]***blocks.1.0.bn3.num_batches_tracked:[]***blocks.1.1.conv_pw.weight:[69, 17, 1, 1]***blocks.1.1.bn1.weight:[69]***blocks.1.1.bn1.bias:[69]***blocks.1.1.bn1.running_mean:[69]***blocks.1.1.bn1.running_var:[69]***blocks.1.1.bn1.num_batches_tracked:[]***blocks.1.1.conv_dw.weight:[69, 1, 3, 3]***blocks.1.1.bn2.weight:[69]***blocks.1.1.bn2.bias:[69]***blocks.1.1.bn2.running_mean:[69]***blocks.1.1.bn2.running_var:[69]***blocks.1.1.bn2.num_batches_tracked:[]***blocks.1.1.se.conv_reduce.weight:[6, 69, 1, 1]***blocks.1.1.se.conv_reduce.bias:[6]***blocks.1.1.se.conv_expand.weight:[69, 6, 1, 1]***blocks.1.1.se.conv_expand.bias:[69]***blocks.1.1.conv_pwl.weight:[17, 69, 1, 1]***blocks.1.1.bn3.weight:[17]***blocks.1.1.bn3.bias:[17]***blocks.1.1.bn3.running_mean:[17]***blocks.1.1.bn3.running_var:[17]***blocks.1.1.bn3.num_batches_tracked:[]***blocks.1.2.conv_pw.weight:[61, 17, 1, 1]***blocks.1.2.bn1.weight:[61]***blocks.1.2.bn1.bias:[61]***blocks.1.2.bn1.running_mean:[61]***blocks.1.2.bn1.running_var:[61]***blocks.1.2.bn1.num_batches_tracked:[]***blocks.1.2.conv_dw.weight:[61, 1, 3, 3]***blocks.1.2.bn2.weight:[61]***blocks.1.2.bn2.bias:[61]***blocks.1.2.bn2.running_mean:[61]***blocks.1.2.bn2.running_var:[61]***blocks.1.2.bn2.num_batches_tracked:[]***blocks.1.2.se.conv_reduce.weight:[6, 61, 1, 1]***blocks.1.2.se.conv_reduce.bias:[6]***blocks.1.2.se.conv_expand.weight:[61, 6, 1, 1]***blocks.1.2.se.conv_expand.bias:[61]***blocks.1.2.conv_pwl.weight:[17, 61, 1, 1]***blocks.1.2.bn3.weight:[17]***blocks.1.2.bn3.bias:[17]***blocks.1.2.bn3.running_mean:[17]***blocks.1.2.bn3.running_var:[17]***blocks.1.2.bn3.num_batches_tracked:[]***blocks.2.0.conv_pw.weight:[86, 17, 1, 1]***blocks.2.0.bn1.weight:[86]***blocks.2.0.bn1.bias:[86]***blocks.2.0.bn1.running_mean:[86]***blocks.2.0.bn1.running_var:[86]***blocks.2.0.bn1.num_batches_tracked:[]***blocks.2.0.conv_dw.weight:[86, 1, 5, 5]***blocks.2.0.bn2.weight:[86]***blocks.2.0.bn2.bias:[86]***blocks.2.0.bn2.running_mean:[86]***blocks.2.0.bn2.running_var:[86]***blocks.2.0