Drop the 2077-line UNetpp.yml (replaced by block-level UNetPlusPlus.yml)

Finetune/UNetpp.yml

@@ -1,2077 +0,0 @@
-# Declarative KonfAI graph reproducing the ImpactSynth app model:
-#   smp.UnetPlusPlus(encoder_name='resnet34', encoder_weights=None, in_channels=5,
-#                    classes=1, activation=None) + Tanh head.
-# Built ONLY from curated model-builder registry types, in smp forward-execution order
-# so execution-order weight transfer pairs all 117 weighted leaves one-to-one.
-# Generated by generate_unetpp_yaml.py -- do not edit by hand.
-name: UNetpp
-network:
-  in_channels: 5
-  dim: 2
-modules:
-- name: enc_conv1
-  type: Conv
-  out_branch:
-  - e_c1
-  args:
-    dim: 2
-    in_channels: 5
-    out_channels: 64
-    kernel_size: 7
-    stride: 2
-    padding: 3
-    bias: false
-- name: enc_bn1
-  type: BatchNorm
-  in_branch:
-  - e_c1
-  out_branch:
-  - e_c1
-  args:
-    dim: 2
-    num_features: 64
-- name: enc_relu
-  type: ReLU
-  in_branch:
-  - e_c1
-  out_branch:
-  - e_c1
-  args: {}
-- name: enc_maxpool
-  type: MaxPool
-  in_branch:
-  - e_c1
-  out_branch:
-  - mp
-  args:
-    dim: 2
-    kernel_size: 3
-    stride: 2
-    padding: 1
-- name: l1_b0_conv1
-  type: Conv
-  in_branch:
-  - mp
-  out_branch:
-  - l1_b0_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l1_b0_bn1
-  type: BatchNorm
-  in_branch:
-  - l1_b0_m
-  out_branch:
-  - l1_b0_m
-  args:
-    dim: 2
-    num_features: 64
-- name: l1_b0_relu1
-  type: ReLU
-  in_branch:
-  - l1_b0_m
-  out_branch:
-  - l1_b0_m
-  args: {}
-- name: l1_b0_conv2
-  type: Conv
-  in_branch:
-  - l1_b0_m
-  out_branch:
-  - l1_b0_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l1_b0_bn2
-  type: BatchNorm
-  in_branch:
-  - l1_b0_m
-  out_branch:
-  - l1_b0_m
-  args:
-    dim: 2
-    num_features: 64
-- name: l1_b0_add
-  type: Add
-  in_branch:
-  - l1_b0_m
-  - mp
-  out_branch:
-  - l1_b0_m
-  args: {}
-- name: l1_b0_relu2
-  type: ReLU
-  in_branch:
-  - l1_b0_m
-  out_branch:
-  - l1_0
-  args: {}
-- name: l1_b1_conv1
-  type: Conv
-  in_branch:
-  - l1_0
-  out_branch:
-  - l1_b1_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l1_b1_bn1
-  type: BatchNorm
-  in_branch:
-  - l1_b1_m
-  out_branch:
-  - l1_b1_m
-  args:
-    dim: 2
-    num_features: 64
-- name: l1_b1_relu1
-  type: ReLU
-  in_branch:
-  - l1_b1_m
-  out_branch:
-  - l1_b1_m
-  args: {}
-- name: l1_b1_conv2
-  type: Conv
-  in_branch:
-  - l1_b1_m
-  out_branch:
-  - l1_b1_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l1_b1_bn2
-  type: BatchNorm
-  in_branch:
-  - l1_b1_m
-  out_branch:
-  - l1_b1_m
-  args:
-    dim: 2
-    num_features: 64
-- name: l1_b1_add
-  type: Add
-  in_branch:
-  - l1_b1_m
-  - l1_0
-  out_branch:
-  - l1_b1_m
-  args: {}
-- name: l1_b1_relu2
-  type: ReLU
-  in_branch:
-  - l1_b1_m
-  out_branch:
-  - l1_1
-  args: {}
-- name: l1_b2_conv1
-  type: Conv
-  in_branch:
-  - l1_1
-  out_branch:
-  - l1_b2_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l1_b2_bn1
-  type: BatchNorm
-  in_branch:
-  - l1_b2_m
-  out_branch:
-  - l1_b2_m
-  args:
-    dim: 2
-    num_features: 64
-- name: l1_b2_relu1
-  type: ReLU
-  in_branch:
-  - l1_b2_m
-  out_branch:
-  - l1_b2_m
-  args: {}
-- name: l1_b2_conv2
-  type: Conv
-  in_branch:
-  - l1_b2_m
-  out_branch:
-  - l1_b2_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l1_b2_bn2
-  type: BatchNorm
-  in_branch:
-  - l1_b2_m
-  out_branch:
-  - l1_b2_m
-  args:
-    dim: 2
-    num_features: 64
-- name: l1_b2_add
-  type: Add
-  in_branch:
-  - l1_b2_m
-  - l1_1
-  out_branch:
-  - l1_b2_m
-  args: {}
-- name: l1_b2_relu2
-  type: ReLU
-  in_branch:
-  - l1_b2_m
-  out_branch:
-  - e_l1
-  args: {}
-- name: l2_b0_conv1
-  type: Conv
-  in_branch:
-  - e_l1
-  out_branch:
-  - l2_b0_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 128
-    kernel_size: 3
-    stride: 2
-    padding: 1
-    bias: false
-- name: l2_b0_bn1
-  type: BatchNorm
-  in_branch:
-  - l2_b0_m
-  out_branch:
-  - l2_b0_m
-  args:
-    dim: 2
-    num_features: 128
-- name: l2_b0_relu1
-  type: ReLU
-  in_branch:
-  - l2_b0_m
-  out_branch:
-  - l2_b0_m
-  args: {}
-- name: l2_b0_conv2
-  type: Conv
-  in_branch:
-  - l2_b0_m
-  out_branch:
-  - l2_b0_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l2_b0_bn2
-  type: BatchNorm
-  in_branch:
-  - l2_b0_m
-  out_branch:
-  - l2_b0_m
-  args:
-    dim: 2
-    num_features: 128
-- name: l2_b0_dsconv
-  type: Conv
-  in_branch:
-  - e_l1
-  out_branch:
-  - l2_b0_s
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 128
-    kernel_size: 1
-    stride: 2
-    padding: 0
-    bias: false
-- name: l2_b0_dsbn
-  type: BatchNorm
-  in_branch:
-  - l2_b0_s
-  out_branch:
-  - l2_b0_s
-  args:
-    dim: 2
-    num_features: 128
-- name: l2_b0_add
-  type: Add
-  in_branch:
-  - l2_b0_m
-  - l2_b0_s
-  out_branch:
-  - l2_b0_m
-  args: {}
-- name: l2_b0_relu2
-  type: ReLU
-  in_branch:
-  - l2_b0_m
-  out_branch:
-  - l2_0
-  args: {}
-- name: l2_b1_conv1
-  type: Conv
-  in_branch:
-  - l2_0
-  out_branch:
-  - l2_b1_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l2_b1_bn1
-  type: BatchNorm
-  in_branch:
-  - l2_b1_m
-  out_branch:
-  - l2_b1_m
-  args:
-    dim: 2
-    num_features: 128
-- name: l2_b1_relu1
-  type: ReLU
-  in_branch:
-  - l2_b1_m
-  out_branch:
-  - l2_b1_m
-  args: {}
-- name: l2_b1_conv2
-  type: Conv
-  in_branch:
-  - l2_b1_m
-  out_branch:
-  - l2_b1_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l2_b1_bn2
-  type: BatchNorm
-  in_branch:
-  - l2_b1_m
-  out_branch:
-  - l2_b1_m
-  args:
-    dim: 2
-    num_features: 128
-- name: l2_b1_add
-  type: Add
-  in_branch:
-  - l2_b1_m
-  - l2_0
-  out_branch:
-  - l2_b1_m
-  args: {}
-- name: l2_b1_relu2
-  type: ReLU
-  in_branch:
-  - l2_b1_m
-  out_branch:
-  - l2_1
-  args: {}
-- name: l2_b2_conv1
-  type: Conv
-  in_branch:
-  - l2_1
-  out_branch:
-  - l2_b2_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l2_b2_bn1
-  type: BatchNorm
-  in_branch:
-  - l2_b2_m
-  out_branch:
-  - l2_b2_m
-  args:
-    dim: 2
-    num_features: 128
-- name: l2_b2_relu1
-  type: ReLU
-  in_branch:
-  - l2_b2_m
-  out_branch:
-  - l2_b2_m
-  args: {}
-- name: l2_b2_conv2
-  type: Conv
-  in_branch:
-  - l2_b2_m
-  out_branch:
-  - l2_b2_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l2_b2_bn2
-  type: BatchNorm
-  in_branch:
-  - l2_b2_m
-  out_branch:
-  - l2_b2_m
-  args:
-    dim: 2
-    num_features: 128
-- name: l2_b2_add
-  type: Add
-  in_branch:
-  - l2_b2_m
-  - l2_1
-  out_branch:
-  - l2_b2_m
-  args: {}
-- name: l2_b2_relu2
-  type: ReLU
-  in_branch:
-  - l2_b2_m
-  out_branch:
-  - l2_2
-  args: {}
-- name: l2_b3_conv1
-  type: Conv
-  in_branch:
-  - l2_2
-  out_branch:
-  - l2_b3_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l2_b3_bn1
-  type: BatchNorm
-  in_branch:
-  - l2_b3_m
-  out_branch:
-  - l2_b3_m
-  args:
-    dim: 2
-    num_features: 128
-- name: l2_b3_relu1
-  type: ReLU
-  in_branch:
-  - l2_b3_m
-  out_branch:
-  - l2_b3_m
-  args: {}
-- name: l2_b3_conv2
-  type: Conv
-  in_branch:
-  - l2_b3_m
-  out_branch:
-  - l2_b3_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l2_b3_bn2
-  type: BatchNorm
-  in_branch:
-  - l2_b3_m
-  out_branch:
-  - l2_b3_m
-  args:
-    dim: 2
-    num_features: 128
-- name: l2_b3_add
-  type: Add
-  in_branch:
-  - l2_b3_m
-  - l2_2
-  out_branch:
-  - l2_b3_m
-  args: {}
-- name: l2_b3_relu2
-  type: ReLU
-  in_branch:
-  - l2_b3_m
-  out_branch:
-  - e_l2
-  args: {}
-- name: l3_b0_conv1
-  type: Conv
-  in_branch:
-  - e_l2
-  out_branch:
-  - l3_b0_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 256
-    kernel_size: 3
-    stride: 2
-    padding: 1
-    bias: false
-- name: l3_b0_bn1
-  type: BatchNorm
-  in_branch:
-  - l3_b0_m
-  out_branch:
-  - l3_b0_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b0_relu1
-  type: ReLU
-  in_branch:
-  - l3_b0_m
-  out_branch:
-  - l3_b0_m
-  args: {}
-- name: l3_b0_conv2
-  type: Conv
-  in_branch:
-  - l3_b0_m
-  out_branch:
-  - l3_b0_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b0_bn2
-  type: BatchNorm
-  in_branch:
-  - l3_b0_m
-  out_branch:
-  - l3_b0_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b0_dsconv
-  type: Conv
-  in_branch:
-  - e_l2
-  out_branch:
-  - l3_b0_s
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 256
-    kernel_size: 1
-    stride: 2
-    padding: 0
-    bias: false
-- name: l3_b0_dsbn
-  type: BatchNorm
-  in_branch:
-  - l3_b0_s
-  out_branch:
-  - l3_b0_s
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b0_add
-  type: Add
-  in_branch:
-  - l3_b0_m
-  - l3_b0_s
-  out_branch:
-  - l3_b0_m
-  args: {}
-- name: l3_b0_relu2
-  type: ReLU
-  in_branch:
-  - l3_b0_m
-  out_branch:
-  - l3_0
-  args: {}
-- name: l3_b1_conv1
-  type: Conv
-  in_branch:
-  - l3_0
-  out_branch:
-  - l3_b1_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b1_bn1
-  type: BatchNorm
-  in_branch:
-  - l3_b1_m
-  out_branch:
-  - l3_b1_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b1_relu1
-  type: ReLU
-  in_branch:
-  - l3_b1_m
-  out_branch:
-  - l3_b1_m
-  args: {}
-- name: l3_b1_conv2
-  type: Conv
-  in_branch:
-  - l3_b1_m
-  out_branch:
-  - l3_b1_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b1_bn2
-  type: BatchNorm
-  in_branch:
-  - l3_b1_m
-  out_branch:
-  - l3_b1_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b1_add
-  type: Add
-  in_branch:
-  - l3_b1_m
-  - l3_0
-  out_branch:
-  - l3_b1_m
-  args: {}
-- name: l3_b1_relu2
-  type: ReLU
-  in_branch:
-  - l3_b1_m
-  out_branch:
-  - l3_1
-  args: {}
-- name: l3_b2_conv1
-  type: Conv
-  in_branch:
-  - l3_1
-  out_branch:
-  - l3_b2_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b2_bn1
-  type: BatchNorm
-  in_branch:
-  - l3_b2_m
-  out_branch:
-  - l3_b2_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b2_relu1
-  type: ReLU
-  in_branch:
-  - l3_b2_m
-  out_branch:
-  - l3_b2_m
-  args: {}
-- name: l3_b2_conv2
-  type: Conv
-  in_branch:
-  - l3_b2_m
-  out_branch:
-  - l3_b2_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b2_bn2
-  type: BatchNorm
-  in_branch:
-  - l3_b2_m
-  out_branch:
-  - l3_b2_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b2_add
-  type: Add
-  in_branch:
-  - l3_b2_m
-  - l3_1
-  out_branch:
-  - l3_b2_m
-  args: {}
-- name: l3_b2_relu2
-  type: ReLU
-  in_branch:
-  - l3_b2_m
-  out_branch:
-  - l3_2
-  args: {}
-- name: l3_b3_conv1
-  type: Conv
-  in_branch:
-  - l3_2
-  out_branch:
-  - l3_b3_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b3_bn1
-  type: BatchNorm
-  in_branch:
-  - l3_b3_m
-  out_branch:
-  - l3_b3_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b3_relu1
-  type: ReLU
-  in_branch:
-  - l3_b3_m
-  out_branch:
-  - l3_b3_m
-  args: {}
-- name: l3_b3_conv2
-  type: Conv
-  in_branch:
-  - l3_b3_m
-  out_branch:
-  - l3_b3_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b3_bn2
-  type: BatchNorm
-  in_branch:
-  - l3_b3_m
-  out_branch:
-  - l3_b3_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b3_add
-  type: Add
-  in_branch:
-  - l3_b3_m
-  - l3_2
-  out_branch:
-  - l3_b3_m
-  args: {}
-- name: l3_b3_relu2
-  type: ReLU
-  in_branch:
-  - l3_b3_m
-  out_branch:
-  - l3_3
-  args: {}
-- name: l3_b4_conv1
-  type: Conv
-  in_branch:
-  - l3_3
-  out_branch:
-  - l3_b4_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b4_bn1
-  type: BatchNorm
-  in_branch:
-  - l3_b4_m
-  out_branch:
-  - l3_b4_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b4_relu1
-  type: ReLU
-  in_branch:
-  - l3_b4_m
-  out_branch:
-  - l3_b4_m
-  args: {}
-- name: l3_b4_conv2
-  type: Conv
-  in_branch:
-  - l3_b4_m
-  out_branch:
-  - l3_b4_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b4_bn2
-  type: BatchNorm
-  in_branch:
-  - l3_b4_m
-  out_branch:
-  - l3_b4_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b4_add
-  type: Add
-  in_branch:
-  - l3_b4_m
-  - l3_3
-  out_branch:
-  - l3_b4_m
-  args: {}
-- name: l3_b4_relu2
-  type: ReLU
-  in_branch:
-  - l3_b4_m
-  out_branch:
-  - l3_4
-  args: {}
-- name: l3_b5_conv1
-  type: Conv
-  in_branch:
-  - l3_4
-  out_branch:
-  - l3_b5_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b5_bn1
-  type: BatchNorm
-  in_branch:
-  - l3_b5_m
-  out_branch:
-  - l3_b5_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b5_relu1
-  type: ReLU
-  in_branch:
-  - l3_b5_m
-  out_branch:
-  - l3_b5_m
-  args: {}
-- name: l3_b5_conv2
-  type: Conv
-  in_branch:
-  - l3_b5_m
-  out_branch:
-  - l3_b5_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l3_b5_bn2
-  type: BatchNorm
-  in_branch:
-  - l3_b5_m
-  out_branch:
-  - l3_b5_m
-  args:
-    dim: 2
-    num_features: 256
-- name: l3_b5_add
-  type: Add
-  in_branch:
-  - l3_b5_m
-  - l3_4
-  out_branch:
-  - l3_b5_m
-  args: {}
-- name: l3_b5_relu2
-  type: ReLU
-  in_branch:
-  - l3_b5_m
-  out_branch:
-  - e_l3
-  args: {}
-- name: l4_b0_conv1
-  type: Conv
-  in_branch:
-  - e_l3
-  out_branch:
-  - l4_b0_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 512
-    kernel_size: 3
-    stride: 2
-    padding: 1
-    bias: false
-- name: l4_b0_bn1
-  type: BatchNorm
-  in_branch:
-  - l4_b0_m
-  out_branch:
-  - l4_b0_m
-  args:
-    dim: 2
-    num_features: 512
-- name: l4_b0_relu1
-  type: ReLU
-  in_branch:
-  - l4_b0_m
-  out_branch:
-  - l4_b0_m
-  args: {}
-- name: l4_b0_conv2
-  type: Conv
-  in_branch:
-  - l4_b0_m
-  out_branch:
-  - l4_b0_m
-  args:
-    dim: 2
-    in_channels: 512
-    out_channels: 512
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l4_b0_bn2
-  type: BatchNorm
-  in_branch:
-  - l4_b0_m
-  out_branch:
-  - l4_b0_m
-  args:
-    dim: 2
-    num_features: 512
-- name: l4_b0_dsconv
-  type: Conv
-  in_branch:
-  - e_l3
-  out_branch:
-  - l4_b0_s
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 512
-    kernel_size: 1
-    stride: 2
-    padding: 0
-    bias: false
-- name: l4_b0_dsbn
-  type: BatchNorm
-  in_branch:
-  - l4_b0_s
-  out_branch:
-  - l4_b0_s
-  args:
-    dim: 2
-    num_features: 512
-- name: l4_b0_add
-  type: Add
-  in_branch:
-  - l4_b0_m
-  - l4_b0_s
-  out_branch:
-  - l4_b0_m
-  args: {}
-- name: l4_b0_relu2
-  type: ReLU
-  in_branch:
-  - l4_b0_m
-  out_branch:
-  - l4_0
-  args: {}
-- name: l4_b1_conv1
-  type: Conv
-  in_branch:
-  - l4_0
-  out_branch:
-  - l4_b1_m
-  args:
-    dim: 2
-    in_channels: 512
-    out_channels: 512
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l4_b1_bn1
-  type: BatchNorm
-  in_branch:
-  - l4_b1_m
-  out_branch:
-  - l4_b1_m
-  args:
-    dim: 2
-    num_features: 512
-- name: l4_b1_relu1
-  type: ReLU
-  in_branch:
-  - l4_b1_m
-  out_branch:
-  - l4_b1_m
-  args: {}
-- name: l4_b1_conv2
-  type: Conv
-  in_branch:
-  - l4_b1_m
-  out_branch:
-  - l4_b1_m
-  args:
-    dim: 2
-    in_channels: 512
-    out_channels: 512
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l4_b1_bn2
-  type: BatchNorm
-  in_branch:
-  - l4_b1_m
-  out_branch:
-  - l4_b1_m
-  args:
-    dim: 2
-    num_features: 512
-- name: l4_b1_add
-  type: Add
-  in_branch:
-  - l4_b1_m
-  - l4_0
-  out_branch:
-  - l4_b1_m
-  args: {}
-- name: l4_b1_relu2
-  type: ReLU
-  in_branch:
-  - l4_b1_m
-  out_branch:
-  - l4_1
-  args: {}
-- name: l4_b2_conv1
-  type: Conv
-  in_branch:
-  - l4_1
-  out_branch:
-  - l4_b2_m
-  args:
-    dim: 2
-    in_channels: 512
-    out_channels: 512
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l4_b2_bn1
-  type: BatchNorm
-  in_branch:
-  - l4_b2_m
-  out_branch:
-  - l4_b2_m
-  args:
-    dim: 2
-    num_features: 512
-- name: l4_b2_relu1
-  type: ReLU
-  in_branch:
-  - l4_b2_m
-  out_branch:
-  - l4_b2_m
-  args: {}
-- name: l4_b2_conv2
-  type: Conv
-  in_branch:
-  - l4_b2_m
-  out_branch:
-  - l4_b2_m
-  args:
-    dim: 2
-    in_channels: 512
-    out_channels: 512
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: l4_b2_bn2
-  type: BatchNorm
-  in_branch:
-  - l4_b2_m
-  out_branch:
-  - l4_b2_m
-  args:
-    dim: 2
-    num_features: 512
-- name: l4_b2_add
-  type: Add
-  in_branch:
-  - l4_b2_m
-  - l4_1
-  out_branch:
-  - l4_b2_m
-  args: {}
-- name: l4_b2_relu2
-  type: ReLU
-  in_branch:
-  - l4_b2_m
-  out_branch:
-  - e_l4
-  args: {}
-- name: x00_up
-  type: Upsample
-  in_branch:
-  - e_l4
-  out_branch:
-  - x00_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x00_cat
-  type: Concat
-  in_branch:
-  - x00_up
-  - e_l3
-  out_branch:
-  - x00_c
-  args: {}
-- name: x00_conv1
-  type: Conv
-  in_branch:
-  - x00_c
-  out_branch:
-  - x00_m
-  args:
-    dim: 2
-    in_channels: 768
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x00_bn1
-  type: BatchNorm
-  in_branch:
-  - x00_m
-  out_branch:
-  - x00_m
-  args:
-    dim: 2
-    num_features: 256
-- name: x00_relu1
-  type: ReLU
-  in_branch:
-  - x00_m
-  out_branch:
-  - x00_m
-  args: {}
-- name: x00_conv2
-  type: Conv
-  in_branch:
-  - x00_m
-  out_branch:
-  - x00_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 256
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x00_bn2
-  type: BatchNorm
-  in_branch:
-  - x00_m
-  out_branch:
-  - x00_m
-  args:
-    dim: 2
-    num_features: 256
-- name: x00_relu2
-  type: ReLU
-  in_branch:
-  - x00_m
-  out_branch:
-  - x00
-  args: {}
-- name: x11_up
-  type: Upsample
-  in_branch:
-  - e_l3
-  out_branch:
-  - x11_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x11_cat
-  type: Concat
-  in_branch:
-  - x11_up
-  - e_l2
-  out_branch:
-  - x11_c
-  args: {}
-- name: x11_conv1
-  type: Conv
-  in_branch:
-  - x11_c
-  out_branch:
-  - x11_m
-  args:
-    dim: 2
-    in_channels: 384
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x11_bn1
-  type: BatchNorm
-  in_branch:
-  - x11_m
-  out_branch:
-  - x11_m
-  args:
-    dim: 2
-    num_features: 128
-- name: x11_relu1
-  type: ReLU
-  in_branch:
-  - x11_m
-  out_branch:
-  - x11_m
-  args: {}
-- name: x11_conv2
-  type: Conv
-  in_branch:
-  - x11_m
-  out_branch:
-  - x11_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x11_bn2
-  type: BatchNorm
-  in_branch:
-  - x11_m
-  out_branch:
-  - x11_m
-  args:
-    dim: 2
-    num_features: 128
-- name: x11_relu2
-  type: ReLU
-  in_branch:
-  - x11_m
-  out_branch:
-  - x11
-  args: {}
-- name: x22_up
-  type: Upsample
-  in_branch:
-  - e_l2
-  out_branch:
-  - x22_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x22_cat
-  type: Concat
-  in_branch:
-  - x22_up
-  - e_l1
-  out_branch:
-  - x22_c
-  args: {}
-- name: x22_conv1
-  type: Conv
-  in_branch:
-  - x22_c
-  out_branch:
-  - x22_m
-  args:
-    dim: 2
-    in_channels: 192
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x22_bn1
-  type: BatchNorm
-  in_branch:
-  - x22_m
-  out_branch:
-  - x22_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x22_relu1
-  type: ReLU
-  in_branch:
-  - x22_m
-  out_branch:
-  - x22_m
-  args: {}
-- name: x22_conv2
-  type: Conv
-  in_branch:
-  - x22_m
-  out_branch:
-  - x22_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x22_bn2
-  type: BatchNorm
-  in_branch:
-  - x22_m
-  out_branch:
-  - x22_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x22_relu2
-  type: ReLU
-  in_branch:
-  - x22_m
-  out_branch:
-  - x22
-  args: {}
-- name: x33_up
-  type: Upsample
-  in_branch:
-  - e_l1
-  out_branch:
-  - x33_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x33_cat
-  type: Concat
-  in_branch:
-  - x33_up
-  - e_c1
-  out_branch:
-  - x33_c
-  args: {}
-- name: x33_conv1
-  type: Conv
-  in_branch:
-  - x33_c
-  out_branch:
-  - x33_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x33_bn1
-  type: BatchNorm
-  in_branch:
-  - x33_m
-  out_branch:
-  - x33_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x33_relu1
-  type: ReLU
-  in_branch:
-  - x33_m
-  out_branch:
-  - x33_m
-  args: {}
-- name: x33_conv2
-  type: Conv
-  in_branch:
-  - x33_m
-  out_branch:
-  - x33_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x33_bn2
-  type: BatchNorm
-  in_branch:
-  - x33_m
-  out_branch:
-  - x33_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x33_relu2
-  type: ReLU
-  in_branch:
-  - x33_m
-  out_branch:
-  - x33
-  args: {}
-- name: x01_up
-  type: Upsample
-  in_branch:
-  - x00
-  out_branch:
-  - x01_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x01_cat
-  type: Concat
-  in_branch:
-  - x01_up
-  - x11
-  - e_l2
-  out_branch:
-  - x01_c
-  args: {}
-- name: x01_conv1
-  type: Conv
-  in_branch:
-  - x01_c
-  out_branch:
-  - x01_m
-  args:
-    dim: 2
-    in_channels: 512
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x01_bn1
-  type: BatchNorm
-  in_branch:
-  - x01_m
-  out_branch:
-  - x01_m
-  args:
-    dim: 2
-    num_features: 128
-- name: x01_relu1
-  type: ReLU
-  in_branch:
-  - x01_m
-  out_branch:
-  - x01_m
-  args: {}
-- name: x01_conv2
-  type: Conv
-  in_branch:
-  - x01_m
-  out_branch:
-  - x01_m
-  args:
-    dim: 2
-    in_channels: 128
-    out_channels: 128
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x01_bn2
-  type: BatchNorm
-  in_branch:
-  - x01_m
-  out_branch:
-  - x01_m
-  args:
-    dim: 2
-    num_features: 128
-- name: x01_relu2
-  type: ReLU
-  in_branch:
-  - x01_m
-  out_branch:
-  - x01
-  args: {}
-- name: x12_up
-  type: Upsample
-  in_branch:
-  - x11
-  out_branch:
-  - x12_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x12_cat
-  type: Concat
-  in_branch:
-  - x12_up
-  - x22
-  - e_l1
-  out_branch:
-  - x12_c
-  args: {}
-- name: x12_conv1
-  type: Conv
-  in_branch:
-  - x12_c
-  out_branch:
-  - x12_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x12_bn1
-  type: BatchNorm
-  in_branch:
-  - x12_m
-  out_branch:
-  - x12_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x12_relu1
-  type: ReLU
-  in_branch:
-  - x12_m
-  out_branch:
-  - x12_m
-  args: {}
-- name: x12_conv2
-  type: Conv
-  in_branch:
-  - x12_m
-  out_branch:
-  - x12_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x12_bn2
-  type: BatchNorm
-  in_branch:
-  - x12_m
-  out_branch:
-  - x12_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x12_relu2
-  type: ReLU
-  in_branch:
-  - x12_m
-  out_branch:
-  - x12
-  args: {}
-- name: x23_up
-  type: Upsample
-  in_branch:
-  - x22
-  out_branch:
-  - x23_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x23_cat
-  type: Concat
-  in_branch:
-  - x23_up
-  - x33
-  - e_c1
-  out_branch:
-  - x23_c
-  args: {}
-- name: x23_conv1
-  type: Conv
-  in_branch:
-  - x23_c
-  out_branch:
-  - x23_m
-  args:
-    dim: 2
-    in_channels: 192
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x23_bn1
-  type: BatchNorm
-  in_branch:
-  - x23_m
-  out_branch:
-  - x23_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x23_relu1
-  type: ReLU
-  in_branch:
-  - x23_m
-  out_branch:
-  - x23_m
-  args: {}
-- name: x23_conv2
-  type: Conv
-  in_branch:
-  - x23_m
-  out_branch:
-  - x23_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x23_bn2
-  type: BatchNorm
-  in_branch:
-  - x23_m
-  out_branch:
-  - x23_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x23_relu2
-  type: ReLU
-  in_branch:
-  - x23_m
-  out_branch:
-  - x23
-  args: {}
-- name: x02_up
-  type: Upsample
-  in_branch:
-  - x01
-  out_branch:
-  - x02_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x02_cat
-  type: Concat
-  in_branch:
-  - x02_up
-  - x12
-  - x22
-  - e_l1
-  out_branch:
-  - x02_c
-  args: {}
-- name: x02_conv1
-  type: Conv
-  in_branch:
-  - x02_c
-  out_branch:
-  - x02_m
-  args:
-    dim: 2
-    in_channels: 320
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x02_bn1
-  type: BatchNorm
-  in_branch:
-  - x02_m
-  out_branch:
-  - x02_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x02_relu1
-  type: ReLU
-  in_branch:
-  - x02_m
-  out_branch:
-  - x02_m
-  args: {}
-- name: x02_conv2
-  type: Conv
-  in_branch:
-  - x02_m
-  out_branch:
-  - x02_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x02_bn2
-  type: BatchNorm
-  in_branch:
-  - x02_m
-  out_branch:
-  - x02_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x02_relu2
-  type: ReLU
-  in_branch:
-  - x02_m
-  out_branch:
-  - x02
-  args: {}
-- name: x13_up
-  type: Upsample
-  in_branch:
-  - x12
-  out_branch:
-  - x13_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x13_cat
-  type: Concat
-  in_branch:
-  - x13_up
-  - x23
-  - x33
-  - e_c1
-  out_branch:
-  - x13_c
-  args: {}
-- name: x13_conv1
-  type: Conv
-  in_branch:
-  - x13_c
-  out_branch:
-  - x13_m
-  args:
-    dim: 2
-    in_channels: 256
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x13_bn1
-  type: BatchNorm
-  in_branch:
-  - x13_m
-  out_branch:
-  - x13_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x13_relu1
-  type: ReLU
-  in_branch:
-  - x13_m
-  out_branch:
-  - x13_m
-  args: {}
-- name: x13_conv2
-  type: Conv
-  in_branch:
-  - x13_m
-  out_branch:
-  - x13_m
-  args:
-    dim: 2
-    in_channels: 64
-    out_channels: 64
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x13_bn2
-  type: BatchNorm
-  in_branch:
-  - x13_m
-  out_branch:
-  - x13_m
-  args:
-    dim: 2
-    num_features: 64
-- name: x13_relu2
-  type: ReLU
-  in_branch:
-  - x13_m
-  out_branch:
-  - x13
-  args: {}
-- name: x03_up
-  type: Upsample
-  in_branch:
-  - x02
-  out_branch:
-  - x03_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x03_cat
-  type: Concat
-  in_branch:
-  - x03_up
-  - x13
-  - x23
-  - x33
-  - e_c1
-  out_branch:
-  - x03_c
-  args: {}
-- name: x03_conv1
-  type: Conv
-  in_branch:
-  - x03_c
-  out_branch:
-  - x03_m
-  args:
-    dim: 2
-    in_channels: 320
-    out_channels: 32
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x03_bn1
-  type: BatchNorm
-  in_branch:
-  - x03_m
-  out_branch:
-  - x03_m
-  args:
-    dim: 2
-    num_features: 32
-- name: x03_relu1
-  type: ReLU
-  in_branch:
-  - x03_m
-  out_branch:
-  - x03_m
-  args: {}
-- name: x03_conv2
-  type: Conv
-  in_branch:
-  - x03_m
-  out_branch:
-  - x03_m
-  args:
-    dim: 2
-    in_channels: 32
-    out_channels: 32
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x03_bn2
-  type: BatchNorm
-  in_branch:
-  - x03_m
-  out_branch:
-  - x03_m
-  args:
-    dim: 2
-    num_features: 32
-- name: x03_relu2
-  type: ReLU
-  in_branch:
-  - x03_m
-  out_branch:
-  - x03
-  args: {}
-- name: x04_up
-  type: Upsample
-  in_branch:
-  - x03
-  out_branch:
-  - x04_up
-  args:
-    scale_factor: 2.0
-    mode: nearest
-- name: x04_conv1
-  type: Conv
-  in_branch:
-  - x04_up
-  out_branch:
-  - x04_m
-  args:
-    dim: 2
-    in_channels: 32
-    out_channels: 16
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x04_bn1
-  type: BatchNorm
-  in_branch:
-  - x04_m
-  out_branch:
-  - x04_m
-  args:
-    dim: 2
-    num_features: 16
-- name: x04_relu1
-  type: ReLU
-  in_branch:
-  - x04_m
-  out_branch:
-  - x04_m
-  args: {}
-- name: x04_conv2
-  type: Conv
-  in_branch:
-  - x04_m
-  out_branch:
-  - x04_m
-  args:
-    dim: 2
-    in_channels: 16
-    out_channels: 16
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: false
-- name: x04_bn2
-  type: BatchNorm
-  in_branch:
-  - x04_m
-  out_branch:
-  - x04_m
-  args:
-    dim: 2
-    num_features: 16
-- name: x04_relu2
-  type: ReLU
-  in_branch:
-  - x04_m
-  out_branch:
-  - x04
-  args: {}
-- name: seg_conv
-  type: Conv
-  in_branch:
-  - x04
-  out_branch:
-  - seg
-  args:
-    dim: 2
-    in_channels: 16
-    out_channels: 1
-    kernel_size: 3
-    stride: 1
-    padding: 1
-    bias: true
-- name: Head_Tanh
-  type: Tanh
-  in_branch:
-  - seg
-  out_branch:
-  - -1
-  args: {}