Created
September 9, 2016 22:17
-
-
Save bmount/61bf6f6e03b4d960171bee49886a3861 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: "SqueezeNet_Residual" | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { | |
| mirror: true | |
| crop_size: 227 | |
| mean_value: 104 | |
| mean_value: 117 | |
| mean_value: 123 | |
| } | |
| data_param { | |
| source: "/ssd/dataset/ilsvrc12_train_lmdb/" | |
| batch_size: 32 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TEST | |
| } | |
| transform_param { | |
| mirror: false | |
| crop_size: 227 | |
| mean_value: 104 | |
| mean_value: 117 | |
| mean_value: 123 | |
| } | |
| data_param { | |
| source: "/ssd/dataset/ilsvrc12_val_lmdb/" | |
| batch_size: 50 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "conv1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1" | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "relu_conv1" | |
| type: "ReLU" | |
| bottom: "conv1" | |
| top: "conv1" | |
| } | |
| layer { | |
| name: "pool1" | |
| type: "Pooling" | |
| bottom: "conv1" | |
| top: "pool1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "fire2/squeeze1x1" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "fire2/squeeze1x1" | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire2/relu_squeeze1x1" | |
| type: "ReLU" | |
| bottom: "fire2/squeeze1x1" | |
| top: "fire2/squeeze1x1" | |
| } | |
| layer { | |
| name: "fire2/expand1x1" | |
| type: "Convolution" | |
| bottom: "fire2/squeeze1x1" | |
| top: "fire2/expand1x1" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire2/relu_expand1x1" | |
| type: "ReLU" | |
| bottom: "fire2/expand1x1" | |
| top: "fire2/expand1x1" | |
| } | |
| layer { | |
| name: "fire2/expand3x3" | |
| type: "Convolution" | |
| bottom: "fire2/squeeze1x1" | |
| top: "fire2/expand3x3" | |
| convolution_param { | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire2/relu_expand3x3" | |
| type: "ReLU" | |
| bottom: "fire2/expand3x3" | |
| top: "fire2/expand3x3" | |
| } | |
| layer { | |
| name: "fire2/concat" | |
| type: "Concat" | |
| bottom: "fire2/expand1x1" | |
| bottom: "fire2/expand3x3" | |
| top: "fire2/concat" | |
| } | |
| #fire2 ends: 128 channels | |
| layer { | |
| name: "fire3/squeeze1x1" | |
| type: "Convolution" | |
| bottom: "fire2/concat" | |
| top: "fire3/squeeze1x1" | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire3/relu_squeeze1x1" | |
| type: "ReLU" | |
| bottom: "fire3/squeeze1x1" | |
| top: "fire3/squeeze1x1" | |
| } | |
| layer { | |
| name: "fire3/expand1x1" | |
| type: "Convolution" | |
| bottom: "fire3/squeeze1x1" | |
| top: "fire3/expand1x1" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire3/relu_expand1x1" | |
| type: "ReLU" | |
| bottom: "fire3/expand1x1" | |
| top: "fire3/expand1x1" | |
| } | |
| layer { | |
| name: "fire3/expand3x3" | |
| type: "Convolution" | |
| bottom: "fire3/squeeze1x1" | |
| top: "fire3/expand3x3" | |
| convolution_param { | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire3/relu_expand3x3" | |
| type: "ReLU" | |
| bottom: "fire3/expand3x3" | |
| top: "fire3/expand3x3" | |
| } | |
| layer { | |
| name: "fire3/concat" | |
| type: "Concat" | |
| bottom: "fire3/expand1x1" | |
| bottom: "fire3/expand3x3" | |
| top: "fire3/concat" | |
| } | |
| #fire3 ends: 128 channels | |
| layer { | |
| name: "bypass_23" | |
| type: "Eltwise" | |
| bottom: "fire2/concat" | |
| bottom: "fire3/concat" | |
| top: "fire3_EltAdd" | |
| } | |
| layer { | |
| name: "fire4/squeeze1x1" | |
| type: "Convolution" | |
| bottom: "fire3_EltAdd" | |
| top: "fire4/squeeze1x1" | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire4/relu_squeeze1x1" | |
| type: "ReLU" | |
| bottom: "fire4/squeeze1x1" | |
| top: "fire4/squeeze1x1" | |
| } | |
| layer { | |
| name: "fire4/expand1x1" | |
| type: "Convolution" | |
| bottom: "fire4/squeeze1x1" | |
| top: "fire4/expand1x1" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire4/relu_expand1x1" | |
| type: "ReLU" | |
| bottom: "fire4/expand1x1" | |
| top: "fire4/expand1x1" | |
| } | |
| layer { | |
| name: "fire4/expand3x3" | |
| type: "Convolution" | |
| bottom: "fire4/squeeze1x1" | |
| top: "fire4/expand3x3" | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire4/relu_expand3x3" | |
| type: "ReLU" | |
| bottom: "fire4/expand3x3" | |
| top: "fire4/expand3x3" | |
| } | |
| layer { | |
| name: "fire4/concat" | |
| type: "Concat" | |
| bottom: "fire4/expand1x1" | |
| bottom: "fire4/expand3x3" | |
| top: "fire4/concat" | |
| } | |
| #fire4 ends: 256 channels | |
| layer { | |
| name: "pool4" | |
| type: "Pooling" | |
| bottom: "fire4/concat" | |
| top: "pool4" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| #fire4 ends: 256 channels / pooled | |
| layer { | |
| name: "fire5/squeeze1x1" | |
| type: "Convolution" | |
| bottom: "pool4" | |
| top: "fire5/squeeze1x1" | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire5/relu_squeeze1x1" | |
| type: "ReLU" | |
| bottom: "fire5/squeeze1x1" | |
| top: "fire5/squeeze1x1" | |
| } | |
| layer { | |
| name: "fire5/expand1x1" | |
| type: "Convolution" | |
| bottom: "fire5/squeeze1x1" | |
| top: "fire5/expand1x1" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire5/relu_expand1x1" | |
| type: "ReLU" | |
| bottom: "fire5/expand1x1" | |
| top: "fire5/expand1x1" | |
| } | |
| layer { | |
| name: "fire5/expand3x3" | |
| type: "Convolution" | |
| bottom: "fire5/squeeze1x1" | |
| top: "fire5/expand3x3" | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire5/relu_expand3x3" | |
| type: "ReLU" | |
| bottom: "fire5/expand3x3" | |
| top: "fire5/expand3x3" | |
| } | |
| layer { | |
| name: "fire5/concat" | |
| type: "Concat" | |
| bottom: "fire5/expand1x1" | |
| bottom: "fire5/expand3x3" | |
| top: "fire5/concat" | |
| } | |
| #fire5 ends: 256 channels | |
| layer { | |
| name: "bypass_45" | |
| type: "Eltwise" | |
| bottom: "pool4" | |
| bottom: "fire5/concat" | |
| top: "fire5_EltAdd" | |
| } | |
| layer { | |
| name: "fire6/squeeze1x1" | |
| type: "Convolution" | |
| bottom: "fire5_EltAdd" | |
| top: "fire6/squeeze1x1" | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire6/relu_squeeze1x1" | |
| type: "ReLU" | |
| bottom: "fire6/squeeze1x1" | |
| top: "fire6/squeeze1x1" | |
| } | |
| layer { | |
| name: "fire6/expand1x1" | |
| type: "Convolution" | |
| bottom: "fire6/squeeze1x1" | |
| top: "fire6/expand1x1" | |
| convolution_param { | |
| num_output: 192 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire6/relu_expand1x1" | |
| type: "ReLU" | |
| bottom: "fire6/expand1x1" | |
| top: "fire6/expand1x1" | |
| } | |
| layer { | |
| name: "fire6/expand3x3" | |
| type: "Convolution" | |
| bottom: "fire6/squeeze1x1" | |
| top: "fire6/expand3x3" | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire6/relu_expand3x3" | |
| type: "ReLU" | |
| bottom: "fire6/expand3x3" | |
| top: "fire6/expand3x3" | |
| } | |
| layer { | |
| name: "fire6/concat" | |
| type: "Concat" | |
| bottom: "fire6/expand1x1" | |
| bottom: "fire6/expand3x3" | |
| top: "fire6/concat" | |
| } | |
| #fire6 ends: 384 channels | |
| layer { | |
| name: "fire7/squeeze1x1" | |
| type: "Convolution" | |
| bottom: "fire6/concat" | |
| top: "fire7/squeeze1x1" | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire7/relu_squeeze1x1" | |
| type: "ReLU" | |
| bottom: "fire7/squeeze1x1" | |
| top: "fire7/squeeze1x1" | |
| } | |
| layer { | |
| name: "fire7/expand1x1" | |
| type: "Convolution" | |
| bottom: "fire7/squeeze1x1" | |
| top: "fire7/expand1x1" | |
| convolution_param { | |
| num_output: 192 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire7/relu_expand1x1" | |
| type: "ReLU" | |
| bottom: "fire7/expand1x1" | |
| top: "fire7/expand1x1" | |
| } | |
| layer { | |
| name: "fire7/expand3x3" | |
| type: "Convolution" | |
| bottom: "fire7/squeeze1x1" | |
| top: "fire7/expand3x3" | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire7/relu_expand3x3" | |
| type: "ReLU" | |
| bottom: "fire7/expand3x3" | |
| top: "fire7/expand3x3" | |
| } | |
| layer { | |
| name: "fire7/concat" | |
| type: "Concat" | |
| bottom: "fire7/expand1x1" | |
| bottom: "fire7/expand3x3" | |
| top: "fire7/concat" | |
| } | |
| #fire7 ends: 384 channels | |
| layer { | |
| name: "bypass_67" | |
| type: "Eltwise" | |
| bottom: "fire6/concat" | |
| bottom: "fire7/concat" | |
| top: "fire7_EltAdd" | |
| } | |
| layer { | |
| name: "fire8/squeeze1x1" | |
| type: "Convolution" | |
| bottom: "fire7_EltAdd" | |
| top: "fire8/squeeze1x1" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire8/relu_squeeze1x1" | |
| type: "ReLU" | |
| bottom: "fire8/squeeze1x1" | |
| top: "fire8/squeeze1x1" | |
| } | |
| layer { | |
| name: "fire8/expand1x1" | |
| type: "Convolution" | |
| bottom: "fire8/squeeze1x1" | |
| top: "fire8/expand1x1" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire8/relu_expand1x1" | |
| type: "ReLU" | |
| bottom: "fire8/expand1x1" | |
| top: "fire8/expand1x1" | |
| } | |
| layer { | |
| name: "fire8/expand3x3" | |
| type: "Convolution" | |
| bottom: "fire8/squeeze1x1" | |
| top: "fire8/expand3x3" | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire8/relu_expand3x3" | |
| type: "ReLU" | |
| bottom: "fire8/expand3x3" | |
| top: "fire8/expand3x3" | |
| } | |
| layer { | |
| name: "fire8/concat" | |
| type: "Concat" | |
| bottom: "fire8/expand1x1" | |
| bottom: "fire8/expand3x3" | |
| top: "fire8/concat" | |
| } | |
| #fire8 ends: 512 channels | |
| layer { | |
| name: "pool8" | |
| type: "Pooling" | |
| bottom: "fire8/concat" | |
| top: "pool8" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| #fire8 ends: 512 channels | |
| layer { | |
| name: "fire9/squeeze1x1" | |
| type: "Convolution" | |
| bottom: "pool8" | |
| top: "fire9/squeeze1x1" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire9/relu_squeeze1x1" | |
| type: "ReLU" | |
| bottom: "fire9/squeeze1x1" | |
| top: "fire9/squeeze1x1" | |
| } | |
| layer { | |
| name: "fire9/expand1x1" | |
| type: "Convolution" | |
| bottom: "fire9/squeeze1x1" | |
| top: "fire9/expand1x1" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire9/relu_expand1x1" | |
| type: "ReLU" | |
| bottom: "fire9/expand1x1" | |
| top: "fire9/expand1x1" | |
| } | |
| layer { | |
| name: "fire9/expand3x3" | |
| type: "Convolution" | |
| bottom: "fire9/squeeze1x1" | |
| top: "fire9/expand3x3" | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "fire9/relu_expand3x3" | |
| type: "ReLU" | |
| bottom: "fire9/expand3x3" | |
| top: "fire9/expand3x3" | |
| } | |
| layer { | |
| name: "fire9/concat" | |
| type: "Concat" | |
| bottom: "fire9/expand1x1" | |
| bottom: "fire9/expand3x3" | |
| top: "fire9/concat" | |
| } | |
| #fire9 ends: 512 channels | |
| layer { | |
| name: "bypass_89" | |
| type: "Eltwise" | |
| bottom: "pool8" | |
| bottom: "fire9/concat" | |
| top: "fire9_EltAdd" | |
| } | |
| layer { | |
| name: "drop9" | |
| type: "Dropout" | |
| bottom: "fire9_EltAdd" | |
| top: "fire9_EltAdd" | |
| dropout_param { | |
| dropout_ratio: 0.5 | |
| } | |
| } | |
| layer { | |
| name: "conv10" | |
| type: "Convolution" | |
| bottom: "fire9_EltAdd" | |
| top: "conv10" | |
| convolution_param { | |
| num_output: 1000 | |
| pad: 1 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| mean: 0.0 | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "relu_conv10" | |
| type: "ReLU" | |
| bottom: "conv10" | |
| top: "conv10" | |
| } | |
| layer { | |
| name: "pool10" | |
| type: "Pooling" | |
| bottom: "conv10" | |
| top: "pool10" | |
| pooling_param { | |
| pool: AVE | |
| global_pooling: true | |
| } | |
| } | |
| # loss, top1, top5 | |
| layer { | |
| name: "loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "pool10" | |
| bottom: "label" | |
| top: "loss" | |
| include { | |
| # phase: TRAIN | |
| } | |
| } | |
| layer { | |
| name: "accuracy_top1" | |
| type: "Accuracy" | |
| bottom: "pool10" | |
| bottom: "label" | |
| top: "accuracy_top1" | |
| include { | |
| # phase: TEST | |
| } | |
| accuracy_param { | |
| top_k: 1 | |
| } | |
| } | |
| layer { | |
| name: "accuracy_top5" | |
| type: "Accuracy" | |
| bottom: "pool10" | |
| bottom: "label" | |
| top: "accuracy_top5" | |
| include { | |
| # phase: TEST | |
| } | |
| accuracy_param { | |
| top_k: 5 | |
| } | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment