{
  "format": "tensorviz.graph",
  "version": 3,
  "exportedAt": "2026-09-17T05:43:03.909352+00:00",
  "status": "static",
  "warningCount": 0,
  "document": {
    "schemaVersion": 2,
    "semantic": {
      "graph_id": "snapshot",
      "name": "NormPlacement",
      "revision": 0,
      "nodes": [
        {
          "node_id": "input",
          "kind": "input",
          "op": "Input",
          "params": {
            "shape": "1,4,8"
          },
          "in_ports": [],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "input",
              "name": "Input",
              "displayName": "Input",
              "description": "Model input node",
              "icon": "ArrowRight",
              "category": "io",
              "parameters": [
                {
                  "name": "shape",
                  "type": "string",
                  "defaultValue": "1,3,224,224",
                  "required": true,
                  "description": "Input tensor shape (comma-separated, e.g., 1,3,224,224)"
                },
                {
                  "name": "name",
                  "type": "string",
                  "defaultValue": "input",
                  "required": false,
                  "description": "Name for this input"
                }
              ]
            }
          }
        },
        {
          "node_id": "pre",
          "kind": "module",
          "op": "Module",
          "params": {},
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "module",
              "name": "Module",
              "displayName": "Module",
              "description": "Custom module group (nn.Module)",
              "icon": "Package",
              "category": "module",
              "parameters": [
                {
                  "name": "name",
                  "type": "string",
                  "defaultValue": "CustomModule",
                  "required": true,
                  "description": "Module class name"
                },
                {
                  "name": "description",
                  "type": "string",
                  "defaultValue": "",
                  "required": false,
                  "description": "Module description"
                }
              ]
            },
            "moduleInstanceId": "pre",
            "moduleTemplateId": "model::PreNorm",
            "isGroup": true,
            "moduleMembers": [
              "pre.norm",
              "pre.branch",
              "add@pre#0"
            ],
            "moduleLayerCount": 3
          }
        },
        {
          "node_id": "post",
          "kind": "module",
          "op": "Module",
          "params": {},
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "module",
              "name": "Module",
              "displayName": "Module",
              "description": "Custom module group (nn.Module)",
              "icon": "Package",
              "category": "module",
              "parameters": [
                {
                  "name": "name",
                  "type": "string",
                  "defaultValue": "CustomModule",
                  "required": true,
                  "description": "Module class name"
                },
                {
                  "name": "description",
                  "type": "string",
                  "defaultValue": "",
                  "required": false,
                  "description": "Module description"
                }
              ]
            },
            "moduleInstanceId": "post",
            "moduleTemplateId": "model::PostNorm",
            "isGroup": true,
            "moduleMembers": [
              "post.branch",
              "add@post#0",
              "post.norm"
            ],
            "moduleLayerCount": 3
          }
        },
        {
          "node_id": "stack@NormPlacement#0",
          "kind": "layer",
          "op": "torch.stack",
          "params": {},
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "stack",
              "name": "torch.stack",
              "displayName": "Compare placements",
              "description": "PyTorch stack operation",
              "icon": "Activity",
              "category": "tensor",
              "parameters": [
                {
                  "name": "dim",
                  "type": "string",
                  "defaultValue": "",
                  "required": false,
                  "description": "Dimension(s) to apply the operation on"
                }
              ]
            }
          }
        },
        {
          "node_id": "output",
          "kind": "output",
          "op": "Output",
          "params": {},
          "in_ports": [
            "x"
          ],
          "out_ports": [],
          "metadata": {
            "layerType": {
              "id": "output",
              "name": "Output",
              "displayName": "Output",
              "description": "Model output node",
              "icon": "ArrowLeft",
              "category": "io",
              "parameters": [
                {
                  "name": "name",
                  "type": "string",
                  "defaultValue": "output",
                  "required": false,
                  "description": "Name for this output"
                }
              ]
            }
          }
        },
        {
          "node_id": "pre.norm",
          "kind": "layer",
          "op": "LayerNorm",
          "params": {
            "normalized_shape": 8,
            "eps": 0.000001
          },
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "layernorm",
              "name": "LayerNorm",
              "displayName": "LayerNorm",
              "description": "Layer Normalization",
              "icon": "Layers",
              "category": "norm",
              "parameters": [
                {
                  "name": "normalized_shape",
                  "type": "string",
                  "defaultValue": "512",
                  "required": true,
                  "description": "Input shape for normalization (comma-separated for multi-dim, e.g., 512)"
                },
                {
                  "name": "eps",
                  "type": "number",
                  "defaultValue": 0.00001,
                  "required": false,
                  "description": "Value for numerical stability",
                  "min": 0
                },
                {
                  "name": "elementwise_affine",
                  "type": "boolean",
                  "defaultValue": true,
                  "required": false,
                  "description": "If True, learnable affine parameters"
                }
              ]
            },
            "parentId": "pre"
          }
        },
        {
          "node_id": "pre.branch",
          "kind": "layer",
          "op": "Linear",
          "params": {
            "in_features": 8,
            "out_features": 8,
            "bias": false
          },
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "linear",
              "name": "Linear",
              "displayName": "Linear",
              "description": "Fully Connected Layer",
              "icon": "Minus",
              "category": "linear",
              "parameters": [
                {
                  "name": "in_features",
                  "type": "number",
                  "defaultValue": 512,
                  "required": true,
                  "description": "Size of input features",
                  "min": 1
                },
                {
                  "name": "out_features",
                  "type": "number",
                  "defaultValue": 256,
                  "required": true,
                  "description": "Size of output features",
                  "min": 1
                },
                {
                  "name": "bias",
                  "type": "boolean",
                  "defaultValue": true,
                  "required": false,
                  "description": "If set to False, the layer will not learn an additive bias"
                }
              ]
            },
            "parentId": "pre"
          }
        },
        {
          "node_id": "add@pre#0",
          "kind": "layer",
          "op": "torch.add",
          "params": {},
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "add",
              "name": "torch.add",
              "displayName": "Pre-norm residual",
              "description": "PyTorch add operation",
              "icon": "Activity",
              "category": "tensor",
              "parameters": [
                {
                  "name": "dim",
                  "type": "string",
                  "defaultValue": "",
                  "required": false,
                  "description": "Dimension(s) to apply the operation on"
                }
              ]
            },
            "parentId": "pre"
          }
        },
        {
          "node_id": "post.branch",
          "kind": "layer",
          "op": "Linear",
          "params": {
            "in_features": 8,
            "out_features": 8,
            "bias": false
          },
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "linear",
              "name": "Linear",
              "displayName": "Linear",
              "description": "Fully Connected Layer",
              "icon": "Minus",
              "category": "linear",
              "parameters": [
                {
                  "name": "in_features",
                  "type": "number",
                  "defaultValue": 512,
                  "required": true,
                  "description": "Size of input features",
                  "min": 1
                },
                {
                  "name": "out_features",
                  "type": "number",
                  "defaultValue": 256,
                  "required": true,
                  "description": "Size of output features",
                  "min": 1
                },
                {
                  "name": "bias",
                  "type": "boolean",
                  "defaultValue": true,
                  "required": false,
                  "description": "If set to False, the layer will not learn an additive bias"
                }
              ]
            },
            "parentId": "post"
          }
        },
        {
          "node_id": "add@post#0",
          "kind": "layer",
          "op": "torch.add",
          "params": {},
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "add",
              "name": "torch.add",
              "displayName": "Post-norm residual",
              "description": "PyTorch add operation",
              "icon": "Activity",
              "category": "tensor",
              "parameters": [
                {
                  "name": "dim",
                  "type": "string",
                  "defaultValue": "",
                  "required": false,
                  "description": "Dimension(s) to apply the operation on"
                }
              ]
            },
            "parentId": "post"
          }
        },
        {
          "node_id": "post.norm",
          "kind": "layer",
          "op": "LayerNorm",
          "params": {
            "normalized_shape": 8,
            "eps": 0.000001
          },
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "layernorm",
              "name": "LayerNorm",
              "displayName": "LayerNorm",
              "description": "Layer Normalization",
              "icon": "Layers",
              "category": "norm",
              "parameters": [
                {
                  "name": "normalized_shape",
                  "type": "string",
                  "defaultValue": "512",
                  "required": true,
                  "description": "Input shape for normalization (comma-separated for multi-dim, e.g., 512)"
                },
                {
                  "name": "eps",
                  "type": "number",
                  "defaultValue": 0.00001,
                  "required": false,
                  "description": "Value for numerical stability",
                  "min": 0
                },
                {
                  "name": "elementwise_affine",
                  "type": "boolean",
                  "defaultValue": true,
                  "required": false,
                  "description": "If True, learnable affine parameters"
                }
              ]
            },
            "parentId": "post"
          }
        }
      ],
      "edges": [
        {
          "edge_id": "edge-1",
          "source_node_id": "pre.norm",
          "target_node_id": "pre.branch",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-2",
          "source_node_id": "pre.branch",
          "target_node_id": "add@pre#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-3",
          "source_node_id": "post.branch",
          "target_node_id": "add@post#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-4",
          "source_node_id": "add@post#0",
          "target_node_id": "post.norm",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-5",
          "source_node_id": "input",
          "target_node_id": "pre.norm",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-6",
          "source_node_id": "input",
          "target_node_id": "add@pre#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-7",
          "source_node_id": "input",
          "target_node_id": "pre",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-8",
          "source_node_id": "input",
          "target_node_id": "post.branch",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-9",
          "source_node_id": "input",
          "target_node_id": "add@post#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-10",
          "source_node_id": "input",
          "target_node_id": "post",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-11",
          "source_node_id": "add@pre#0",
          "target_node_id": "stack@NormPlacement#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-12",
          "source_node_id": "pre",
          "target_node_id": "stack@NormPlacement#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-13",
          "source_node_id": "post.norm",
          "target_node_id": "stack@NormPlacement#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-14",
          "source_node_id": "post",
          "target_node_id": "stack@NormPlacement#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-15",
          "source_node_id": "stack@NormPlacement#0",
          "target_node_id": "output",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        }
      ],
      "inputs": [],
      "modules": [],
      "operations": [],
      "metadata": {}
    },
    "view": {
      "graph_id": "snapshot",
      "node_positions": {
        "input": {
          "x": 0,
          "y": 160
        },
        "pre": {
          "x": 340,
          "y": 160
        },
        "post": {
          "x": 680,
          "y": 160
        },
        "stack@NormPlacement#0": {
          "x": 1020,
          "y": 160
        },
        "output": {
          "x": 1360,
          "y": 160
        },
        "pre.norm": {
          "x": 24,
          "y": 214
        },
        "pre.branch": {
          "x": 24,
          "y": 364
        },
        "add@pre#0": {
          "x": 24,
          "y": 514
        },
        "post.branch": {
          "x": 24,
          "y": 214
        },
        "add@post#0": {
          "x": 24,
          "y": 364
        },
        "post.norm": {
          "x": 24,
          "y": 514
        }
      },
      "collapsed_modules": [
        "pre",
        "post"
      ],
      "selection": [],
      "layout": {}
    }
  },
  "snapshotId": "snapshot-8e56ce1e4b813fc8",
  "collaboration": {
    "walkthrough": {
      "title": "Where the normalization goes",
      "steps": [
        {
          "id": "pre",
          "title": "Normalize inside the branch",
          "note": "Pre-norm applies LayerNorm before F. The original input travels around both operations, so the result is x + F(Norm(x)).",
          "view": {
            "camera": {
              "x": 308.5,
              "y": 6,
              "z": 1.25
            },
            "nodePositions": {
              "input": {
                "x": 0,
                "y": 160
              },
              "pre": {
                "x": 340,
                "y": 160
              },
              "post": {
                "x": 680,
                "y": 160
              },
              "stack@NormPlacement#0": {
                "x": 1020,
                "y": 160
              },
              "output": {
                "x": 1360,
                "y": 160
              },
              "pre.norm": {
                "x": 24,
                "y": 214
              },
              "pre.branch": {
                "x": 24,
                "y": 364
              },
              "add@pre#0": {
                "x": 24,
                "y": 514
              },
              "post.branch": {
                "x": 24,
                "y": 214
              },
              "add@post#0": {
                "x": 24,
                "y": 364
              },
              "post.norm": {
                "x": 24,
                "y": 514
              }
            },
            "expandedModuleIds": [
              "pre"
            ],
            "selectedNodeIds": [
              "pre.norm"
            ],
            "viewport": {
              "width": 1100,
              "height": 700
            }
          },
          "anchors": [
            {
              "target": {
                "kind": "node",
                "nodeId": "pre.norm"
              },
              "snapshotId": "snapshot-8e56ce1e4b813fc8",
              "exportedAt": "2026-09-17T05:43:03.909352+00:00",
              "modelName": "NormPlacement",
              "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"input\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"pre.norm\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"pre.norm\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"pre.branch\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[],\"node\":{\"id\":\"pre.norm\",\"kind\":\"layer\",\"op\":\"LayerNorm\",\"params\":{\"eps\":0.000001,\"normalized_shape\":8},\"parent\":\"pre\"}}"
            }
          ]
        },
        {
          "id": "shortcut",
          "title": "Keep the identity path intact",
          "note": "At the addition, the original x rejoins the transformed branch. Set F to zero in the recorded comparison: this output becomes exactly x.",
          "view": {
            "camera": {
              "x": 308.5,
              "y": -294,
              "z": 1.25
            },
            "nodePositions": {
              "input": {
                "x": 0,
                "y": 160
              },
              "pre": {
                "x": 340,
                "y": 160
              },
              "post": {
                "x": 680,
                "y": 160
              },
              "stack@NormPlacement#0": {
                "x": 1020,
                "y": 160
              },
              "output": {
                "x": 1360,
                "y": 160
              },
              "pre.norm": {
                "x": 24,
                "y": 214
              },
              "pre.branch": {
                "x": 24,
                "y": 364
              },
              "add@pre#0": {
                "x": 24,
                "y": 514
              },
              "post.branch": {
                "x": 24,
                "y": 214
              },
              "add@post#0": {
                "x": 24,
                "y": 364
              },
              "post.norm": {
                "x": 24,
                "y": 514
              }
            },
            "expandedModuleIds": [
              "pre"
            ],
            "selectedNodeIds": [
              "add@pre#0"
            ],
            "viewport": {
              "width": 1100,
              "height": 700
            }
          },
          "anchors": [
            {
              "target": {
                "kind": "node",
                "nodeId": "add@pre#0"
              },
              "snapshotId": "snapshot-8e56ce1e4b813fc8",
              "exportedAt": "2026-09-17T05:43:03.909352+00:00",
              "modelName": "NormPlacement",
              "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"add@pre#0\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"stack@NormPlacement#0\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"input\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@pre#0\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"pre.branch\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@pre#0\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[],\"node\":{\"id\":\"add@pre#0\",\"kind\":\"layer\",\"op\":\"torch.add\",\"params\":{},\"parent\":\"pre\"}}"
            }
          ]
        },
        {
          "id": "post-branch",
          "title": "Use the same F before normalization",
          "note": "The post-norm branch starts with the same F weights, but F receives the raw input. Its output is added to x before normalization.",
          "view": {
            "camera": {
              "x": 308.5,
              "y": 2.5,
              "z": 1.25
            },
            "nodePositions": {
              "input": {
                "x": 0,
                "y": 160
              },
              "pre": {
                "x": 340,
                "y": 160
              },
              "post": {
                "x": 680,
                "y": 160
              },
              "stack@NormPlacement#0": {
                "x": 1020,
                "y": 160
              },
              "output": {
                "x": 1360,
                "y": 160
              },
              "pre.norm": {
                "x": 24,
                "y": 214
              },
              "pre.branch": {
                "x": 24,
                "y": 364
              },
              "add@pre#0": {
                "x": 24,
                "y": 514
              },
              "post.branch": {
                "x": 24,
                "y": 214
              },
              "add@post#0": {
                "x": 24,
                "y": 364
              },
              "post.norm": {
                "x": 24,
                "y": 514
              }
            },
            "expandedModuleIds": [
              "post"
            ],
            "selectedNodeIds": [
              "post.branch"
            ],
            "viewport": {
              "width": 1100,
              "height": 700
            }
          },
          "anchors": [
            {
              "target": {
                "kind": "node",
                "nodeId": "post.branch"
              },
              "snapshotId": "snapshot-8e56ce1e4b813fc8",
              "exportedAt": "2026-09-17T05:43:03.909352+00:00",
              "modelName": "NormPlacement",
              "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"input\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"post.branch\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"post.branch\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@post#0\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[],\"node\":{\"id\":\"post.branch\",\"kind\":\"layer\",\"op\":\"Linear\",\"params\":{\"bias\":false,\"in_features\":8,\"out_features\":8},\"parent\":\"post\"}}"
            }
          ]
        },
        {
          "id": "post",
          "title": "Normalize after the addition",
          "note": "Post-norm computes Norm(x + F(x)). Even with F set to zero, the output is Norm(x), so normalization remains on the residual route.",
          "view": {
            "camera": {
              "x": 308.5,
              "y": -294,
              "z": 1.25
            },
            "nodePositions": {
              "input": {
                "x": 0,
                "y": 160
              },
              "pre": {
                "x": 340,
                "y": 160
              },
              "post": {
                "x": 680,
                "y": 160
              },
              "stack@NormPlacement#0": {
                "x": 1020,
                "y": 160
              },
              "output": {
                "x": 1360,
                "y": 160
              },
              "pre.norm": {
                "x": 24,
                "y": 214
              },
              "pre.branch": {
                "x": 24,
                "y": 364
              },
              "add@pre#0": {
                "x": 24,
                "y": 514
              },
              "post.branch": {
                "x": 24,
                "y": 214
              },
              "add@post#0": {
                "x": 24,
                "y": 364
              },
              "post.norm": {
                "x": 24,
                "y": 514
              }
            },
            "expandedModuleIds": [
              "post"
            ],
            "selectedNodeIds": [
              "post.norm"
            ],
            "viewport": {
              "width": 1100,
              "height": 700
            }
          },
          "anchors": [
            {
              "target": {
                "kind": "node",
                "nodeId": "post.norm"
              },
              "snapshotId": "snapshot-8e56ce1e4b813fc8",
              "exportedAt": "2026-09-17T05:43:03.909352+00:00",
              "modelName": "NormPlacement",
              "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"add@post#0\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"post.norm\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"post.norm\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"stack@NormPlacement#0\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[],\"node\":{\"id\":\"post.norm\",\"kind\":\"layer\",\"op\":\"LayerNorm\",\"params\":{\"eps\":0.000001,\"normalized_shape\":8},\"parent\":\"post\"}}"
            }
          ]
        }
      ]
    },
    "threads": [],
    "savedViews": [
      {
        "id": "shortcut",
        "title": "Keep the identity path intact",
        "note": "At the addition, the original x rejoins the transformed branch. Set F to zero in the recorded comparison: this output becomes exactly x.",
        "view": {
          "camera": {
            "x": 308.5,
            "y": -294,
            "z": 1.25
          },
          "nodePositions": {
            "input": {
              "x": 0,
              "y": 160
            },
            "pre": {
              "x": 340,
              "y": 160
            },
            "post": {
              "x": 680,
              "y": 160
            },
            "stack@NormPlacement#0": {
              "x": 1020,
              "y": 160
            },
            "output": {
              "x": 1360,
              "y": 160
            },
            "pre.norm": {
              "x": 24,
              "y": 214
            },
            "pre.branch": {
              "x": 24,
              "y": 364
            },
            "add@pre#0": {
              "x": 24,
              "y": 514
            },
            "post.branch": {
              "x": 24,
              "y": 214
            },
            "add@post#0": {
              "x": 24,
              "y": 364
            },
            "post.norm": {
              "x": 24,
              "y": 514
            }
          },
          "expandedModuleIds": [
            "pre"
          ],
          "selectedNodeIds": [
            "add@pre#0"
          ],
          "viewport": {
            "width": 1100,
            "height": 700
          }
        },
        "anchors": [
          {
            "target": {
              "kind": "node",
              "nodeId": "add@pre#0"
            },
            "snapshotId": "snapshot-8e56ce1e4b813fc8",
            "exportedAt": "2026-09-17T05:43:03.909352+00:00",
            "modelName": "NormPlacement",
            "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"add@pre#0\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"stack@NormPlacement#0\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"input\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@pre#0\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"pre.branch\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@pre#0\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[],\"node\":{\"id\":\"add@pre#0\",\"kind\":\"layer\",\"op\":\"torch.add\",\"params\":{},\"parent\":\"pre\"}}"
          }
        ]
      }
    ],
    "openingViewId": "shortcut"
  }
}
