{
  "format": "tensorviz.graph",
  "version": 3,
  "exportedAt": "2026-09-16T20:05:17.493431+00:00",
  "status": "static",
  "warningCount": 0,
  "document": {
    "schemaVersion": 2,
    "semantic": {
      "graph_id": "snapshot",
      "name": "ResidualClassifier",
      "revision": 0,
      "nodes": [
        {
          "node_id": "input",
          "kind": "input",
          "op": "Input",
          "params": {
            "shape": "1,64"
          },
          "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": "stem",
          "kind": "layer",
          "op": "Linear",
          "params": {
            "in_features": 64,
            "out_features": 128
          },
          "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"
                }
              ]
            }
          }
        },
        {
          "node_id": "block",
          "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": "block",
            "moduleTemplateId": "model::ResidualBlock",
            "isGroup": true,
            "moduleMembers": [
              "block.expand",
              "block.relu",
              "block.project",
              "add@block#0"
            ],
            "moduleLayerCount": 4
          }
        },
        {
          "node_id": "head",
          "kind": "layer",
          "op": "Linear",
          "params": {
            "in_features": 128,
            "out_features": 10
          },
          "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"
                }
              ]
            }
          }
        },
        {
          "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": "block.expand",
          "kind": "layer",
          "op": "Linear",
          "params": {
            "in_features": 128,
            "out_features": 256
          },
          "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": "block"
          }
        },
        {
          "node_id": "block.relu",
          "kind": "layer",
          "op": "ReLU",
          "params": {},
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "relu",
              "name": "ReLU",
              "displayName": "ReLU",
              "description": "Rectified Linear Unit",
              "icon": "TrendingUp",
              "category": "activation",
              "parameters": [
                {
                  "name": "inplace",
                  "type": "boolean",
                  "defaultValue": false,
                  "required": false,
                  "description": "Can optionally do the operation in-place"
                }
              ]
            },
            "parentId": "block"
          }
        },
        {
          "node_id": "block.project",
          "kind": "layer",
          "op": "Linear",
          "params": {
            "in_features": 256,
            "out_features": 128
          },
          "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": "block"
          }
        },
        {
          "node_id": "add@block#0",
          "kind": "layer",
          "op": "torch.add",
          "params": {},
          "in_ports": [
            "x"
          ],
          "out_ports": [
            "y"
          ],
          "metadata": {
            "layerType": {
              "id": "add",
              "name": "torch.add",
              "displayName": "torch.add",
              "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": "block"
          }
        }
      ],
      "edges": [
        {
          "edge_id": "edge-1",
          "source_node_id": "block.expand",
          "target_node_id": "block.relu",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-2",
          "source_node_id": "block.relu",
          "target_node_id": "block.project",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-3",
          "source_node_id": "block.project",
          "target_node_id": "add@block#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-4",
          "source_node_id": "input",
          "target_node_id": "stem",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-5",
          "source_node_id": "stem",
          "target_node_id": "block.expand",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-6",
          "source_node_id": "stem",
          "target_node_id": "add@block#0",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-7",
          "source_node_id": "stem",
          "target_node_id": "block",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-8",
          "source_node_id": "add@block#0",
          "target_node_id": "head",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-9",
          "source_node_id": "block",
          "target_node_id": "head",
          "source_port": "y",
          "target_port": "x",
          "metadata": {}
        },
        {
          "edge_id": "edge-10",
          "source_node_id": "head",
          "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
        },
        "stem": {
          "x": 300,
          "y": 160
        },
        "block": {
          "x": 610,
          "y": 100
        },
        "head": {
          "x": 1100,
          "y": 160
        },
        "output": {
          "x": 1420,
          "y": 160
        },
        "block.expand": {
          "x": 40,
          "y": 100
        },
        "block.relu": {
          "x": 40,
          "y": 280
        },
        "block.project": {
          "x": 40,
          "y": 460
        },
        "add@block#0": {
          "x": 40,
          "y": 640
        }
      },
      "collapsed_modules": [
        "block"
      ],
      "selection": [],
      "layout": {}
    }
  },
  "snapshotId": "snapshot-563d37634aa61c1d",
  "collaboration": {
    "walkthrough": {
      "title": "The residual path",
      "steps": [
        {
          "id": "wider-features",
          "title": "Give the model more room",
          "note": "The stem projects each input from 64 features to 128. That 128-wide representation enters the residual block.",
          "view": {
            "camera": {
              "x": 32.5,
              "y": 60,
              "z": 1.25
            },
            "nodePositions": {
              "input": {
                "x": 0,
                "y": 160
              },
              "stem": {
                "x": 300,
                "y": 160
              },
              "block": {
                "x": 610,
                "y": 100
              },
              "head": {
                "x": 1100,
                "y": 160
              },
              "output": {
                "x": 1420,
                "y": 160
              },
              "block.expand": {
                "x": 40,
                "y": 100
              },
              "block.relu": {
                "x": 40,
                "y": 280
              },
              "block.project": {
                "x": 40,
                "y": 460
              },
              "add@block#0": {
                "x": 40,
                "y": 640
              }
            },
            "expandedModuleIds": [],
            "selectedNodeIds": [
              "stem"
            ],
            "viewport": {
              "width": 1100,
              "height": 700
            }
          },
          "anchors": [
            {
              "target": {
                "kind": "node",
                "nodeId": "stem"
              },
              "snapshotId": "snapshot-563d37634aa61c1d",
              "exportedAt": "2026-09-16T20:05:17.493431+00:00",
              "modelName": "ResidualClassifier",
              "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"input\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"stem\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"stem\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@block#0\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"stem\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"block\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"stem\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"block.expand\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[],\"node\":{\"id\":\"stem\",\"kind\":\"layer\",\"op\":\"Linear\",\"params\":{\"in_features\":64,\"out_features\":128}}}"
            }
          ]
        },
        {
          "id": "skip-path",
          "title": "Follow the path around the layers",
          "note": "Inside the block, the learned path expands 128 features to 256 and projects them back to 128. The original input bypasses those layers so the two paths can be added.",
          "view": {
            "camera": {
              "x": -30,
              "y": -12.727272727272691,
              "z": 0.7333333333333333
            },
            "nodePositions": {
              "input": {
                "x": 0,
                "y": 160
              },
              "stem": {
                "x": 300,
                "y": 160
              },
              "block": {
                "x": 610,
                "y": 100
              },
              "head": {
                "x": 1100,
                "y": 160
              },
              "output": {
                "x": 1420,
                "y": 160
              },
              "block.expand": {
                "x": 40,
                "y": 100
              },
              "block.relu": {
                "x": 40,
                "y": 280
              },
              "block.project": {
                "x": 40,
                "y": 460
              },
              "add@block#0": {
                "x": 40,
                "y": 640
              }
            },
            "expandedModuleIds": [
              "block"
            ],
            "selectedNodeIds": [
              "block"
            ],
            "viewport": {
              "width": 1100,
              "height": 700
            }
          },
          "anchors": [
            {
              "target": {
                "kind": "node",
                "nodeId": "block"
              },
              "snapshotId": "snapshot-563d37634aa61c1d",
              "exportedAt": "2026-09-16T20:05:17.493431+00:00",
              "modelName": "ResidualClassifier",
              "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"add@block#0\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"head\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"block\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"head\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"block.expand\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"block.relu\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"block.project\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@block#0\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"block.relu\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"block.project\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"stem\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@block#0\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"stem\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"block\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"stem\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"block.expand\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[\"{\\\"id\\\":\\\"add@block#0\\\",\\\"kind\\\":\\\"layer\\\",\\\"op\\\":\\\"torch.add\\\",\\\"params\\\":{},\\\"parent\\\":\\\"block\\\"}\",\"{\\\"id\\\":\\\"block.expand\\\",\\\"kind\\\":\\\"layer\\\",\\\"op\\\":\\\"Linear\\\",\\\"params\\\":{\\\"in_features\\\":128,\\\"out_features\\\":256},\\\"parent\\\":\\\"block\\\"}\",\"{\\\"id\\\":\\\"block.project\\\",\\\"kind\\\":\\\"layer\\\",\\\"op\\\":\\\"Linear\\\",\\\"params\\\":{\\\"in_features\\\":256,\\\"out_features\\\":128},\\\"parent\\\":\\\"block\\\"}\",\"{\\\"id\\\":\\\"block.relu\\\",\\\"kind\\\":\\\"layer\\\",\\\"op\\\":\\\"ReLU\\\",\\\"params\\\":{},\\\"parent\\\":\\\"block\\\"}\"],\"node\":{\"id\":\"block\",\"kind\":\"module\",\"op\":\"Module\",\"params\":{}}}"
            }
          ]
        },
        {
          "id": "rejoin",
          "title": "Meet at the same width",
          "note": "Addition combines the learned path with the untouched residual. Both have 128 features; the skip connection preserves the shape.",
          "view": {
            "camera": {
              "x": 292.5,
              "y": -420,
              "z": 1.25
            },
            "nodePositions": {
              "input": {
                "x": 0,
                "y": 160
              },
              "stem": {
                "x": 300,
                "y": 160
              },
              "block": {
                "x": 610,
                "y": 100
              },
              "head": {
                "x": 1100,
                "y": 160
              },
              "output": {
                "x": 1420,
                "y": 160
              },
              "block.expand": {
                "x": 40,
                "y": 100
              },
              "block.relu": {
                "x": 40,
                "y": 280
              },
              "block.project": {
                "x": 40,
                "y": 460
              },
              "add@block#0": {
                "x": 40,
                "y": 640
              }
            },
            "expandedModuleIds": [
              "block"
            ],
            "selectedNodeIds": [
              "add@block#0"
            ],
            "viewport": {
              "width": 1100,
              "height": 700
            }
          },
          "anchors": [
            {
              "target": {
                "kind": "node",
                "nodeId": "add@block#0"
              },
              "snapshotId": "snapshot-563d37634aa61c1d",
              "exportedAt": "2026-09-16T20:05:17.493431+00:00",
              "modelName": "ResidualClassifier",
              "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"add@block#0\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"head\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"block.project\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@block#0\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"stem\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@block#0\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[],\"node\":{\"id\":\"add@block#0\",\"kind\":\"layer\",\"op\":\"torch.add\",\"params\":{},\"parent\":\"block\"}}"
            }
          ]
        },
        {
          "id": "classifier",
          "title": "Match the classifier to its input",
          "note": "The head consumes 128 features and produces 10 outputs. In the earlier version it expected 64; the comparison shows that exact change.",
          "view": {
            "camera": {
              "x": -767.5,
              "y": 60,
              "z": 1.25
            },
            "nodePositions": {
              "input": {
                "x": 0,
                "y": 160
              },
              "stem": {
                "x": 300,
                "y": 160
              },
              "block": {
                "x": 610,
                "y": 100
              },
              "head": {
                "x": 1100,
                "y": 160
              },
              "output": {
                "x": 1420,
                "y": 160
              },
              "block.expand": {
                "x": 40,
                "y": 100
              },
              "block.relu": {
                "x": 40,
                "y": 280
              },
              "block.project": {
                "x": 40,
                "y": 460
              },
              "add@block#0": {
                "x": 40,
                "y": 640
              }
            },
            "expandedModuleIds": [],
            "selectedNodeIds": [
              "head"
            ],
            "viewport": {
              "width": 1100,
              "height": 700
            }
          },
          "anchors": [
            {
              "target": {
                "kind": "node",
                "nodeId": "head"
              },
              "snapshotId": "snapshot-563d37634aa61c1d",
              "exportedAt": "2026-09-16T20:05:17.493431+00:00",
              "modelName": "ResidualClassifier",
              "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"add@block#0\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"head\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"block\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"head\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"head\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"output\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[],\"node\":{\"id\":\"head\",\"kind\":\"layer\",\"op\":\"Linear\",\"params\":{\"in_features\":128,\"out_features\":10}}}"
            }
          ]
        }
      ]
    },
    "threads": [],
    "savedViews": [
      {
        "id": "rejoin",
        "title": "Meet at the same width",
        "note": "Addition combines the learned path with the untouched residual. Both have 128 features; the skip connection preserves the shape.",
        "view": {
          "camera": {
            "x": 292.5,
            "y": -420,
            "z": 1.25
          },
          "nodePositions": {
            "input": {
              "x": 0,
              "y": 160
            },
            "stem": {
              "x": 300,
              "y": 160
            },
            "block": {
              "x": 610,
              "y": 100
            },
            "head": {
              "x": 1100,
              "y": 160
            },
            "output": {
              "x": 1420,
              "y": 160
            },
            "block.expand": {
              "x": 40,
              "y": 100
            },
            "block.relu": {
              "x": 40,
              "y": 280
            },
            "block.project": {
              "x": 40,
              "y": 460
            },
            "add@block#0": {
              "x": 40,
              "y": 640
            }
          },
          "expandedModuleIds": [
            "block"
          ],
          "selectedNodeIds": [
            "add@block#0"
          ],
          "viewport": {
            "width": 1100,
            "height": 700
          }
        },
        "anchors": [
          {
            "target": {
              "kind": "node",
              "nodeId": "add@block#0"
            },
            "snapshotId": "snapshot-563d37634aa61c1d",
            "exportedAt": "2026-09-16T20:05:17.493431+00:00",
            "modelName": "ResidualClassifier",
            "context": "{\"connections\":[\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"add@block#0\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"head\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"block.project\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@block#0\\\",\\\"targetPort\\\":\\\"x\\\"}\",\"{\\\"kind\\\":\\\"edge\\\",\\\"source\\\":\\\"stem\\\",\\\"sourcePort\\\":\\\"y\\\",\\\"target\\\":\\\"add@block#0\\\",\\\"targetPort\\\":\\\"x\\\"}\"],\"contents\":[],\"node\":{\"id\":\"add@block#0\",\"kind\":\"layer\",\"op\":\"torch.add\",\"params\":{},\"parent\":\"block\"}}"
          }
        ]
      }
    ],
    "openingViewId": "rejoin"
  }
}
