|
| 1 | +""" |
| 2 | +Recording Module Hierarchy With a Custom Tracer |
| 3 | +
|
| 4 | +In this example, we are going to define a custom `fx.Tracer` instance that-- |
| 5 | +for each recorded operation--also notes down the qualified name of the module |
| 6 | +from which that operation originated. The _qualified name_ is the path to the |
| 7 | +Module from the root module. More information about this concept can be |
| 8 | +found in the documentation for `Module.get_submodule`: |
| 9 | +https://github.com/pytorch/pytorch/blob/9f2aea7b88f69fc74ad90b1418663802f80c1863/torch/nn/modules/module.py#L385 |
| 10 | +""" |
| 11 | +import torch |
| 12 | +import torch.fx |
| 13 | +from typing import Any, Callable, Dict, Optional, Tuple |
| 14 | + |
| 15 | +class ModulePathTracer(torch.fx.Tracer): |
| 16 | + """ |
| 17 | + ModulePathTracer is an FX tracer that--for each operation--also records |
| 18 | + the qualified name of the Module from which the operation originated. |
| 19 | + """ |
| 20 | + |
| 21 | + # The current qualified name of the Module being traced. The top-level |
| 22 | + # module is signified by empty string. This is updated when entering |
| 23 | + # call_module and restored when exiting call_module |
| 24 | + current_module_qualified_name : str = '' |
| 25 | + # A map from FX Node to the qualname of the Module from which it |
| 26 | + # originated. This is recorded by `create_proxy` when recording an |
| 27 | + # operation |
| 28 | + node_to_originating_module : Dict[torch.fx.Node, str] = {} |
| 29 | + |
| 30 | + def call_module(self, m: torch.nn.Module, forward: Callable[..., Any], |
| 31 | + args : Tuple[Any, ...], kwargs : Dict[str, Any]) -> Any: |
| 32 | + """ |
| 33 | + Override of Tracer.call_module (see |
| 34 | + https://pytorch.org/docs/stable/fx.html#torch.fx.Tracer.call_module). |
| 35 | +
|
| 36 | + This override: |
| 37 | + 1) Stores away the qualified name of the caller for restoration later |
| 38 | + 2) Installs the qualified name of the caller in `current_module_qualified_name` |
| 39 | + for retrieval by `create_proxy` |
| 40 | + 3) Delegates into the normal Tracer.call_module method |
| 41 | + 4) Restores the caller's qualified name into current_module_qualified_name |
| 42 | + """ |
| 43 | + old_qualname = self.current_module_qualified_name |
| 44 | + try: |
| 45 | + self.current_module_qualified_name = self.path_of_module(m) |
| 46 | + return super().call_module(m, forward, args, kwargs) |
| 47 | + finally: |
| 48 | + self.current_module_qualified_name = old_qualname |
| 49 | + |
| 50 | + def create_proxy(self, kind: str, target: torch.fx.node.Target, args: Tuple[Any, ...], |
| 51 | + kwargs: Dict[str, Any], name: Optional[str] = None, type_expr: Optional[Any] = None): |
| 52 | + """ |
| 53 | + Override of `Tracer.create_proxy`. This override intercepts the recording |
| 54 | + of every operation and stores away the current traced module's qualified |
| 55 | + name in `node_to_originating_module` |
| 56 | + """ |
| 57 | + proxy = super().create_proxy(kind, target, args, kwargs, name, type_expr) |
| 58 | + self.node_to_originating_module[proxy.node] = self.current_module_qualified_name |
| 59 | + return proxy |
| 60 | + |
| 61 | + |
| 62 | +# Testing: let's see how this works on a torchvision ResNet18 model |
| 63 | +import torchvision.models as models |
| 64 | + |
| 65 | +# Model under test |
| 66 | +rn18 = models.resnet18() |
| 67 | + |
| 68 | +# Instantiate our ModulePathTracer and use that to trace our ResNet18 |
| 69 | +tracer = ModulePathTracer() |
| 70 | +traced_rn18 = tracer.trace(rn18) |
| 71 | + |
| 72 | +# Print (node, module qualified name) for every node in the Graph |
| 73 | +for node in traced_rn18.nodes: |
| 74 | + module_qualname = tracer.node_to_originating_module.get(node) |
| 75 | + print('Node', node, 'is from module', module_qualname) |
| 76 | +""" |
| 77 | +Node x is from module |
| 78 | +Node conv1 is from module conv1 |
| 79 | +Node bn1 is from module bn1 |
| 80 | +Node relu is from module relu |
| 81 | +Node maxpool is from module maxpool |
| 82 | +Node layer1_0_conv1 is from module layer1.0.conv1 |
| 83 | +Node layer1_0_bn1 is from module layer1.0.bn1 |
| 84 | +Node layer1_0_relu is from module layer1.0.relu |
| 85 | +Node layer1_0_conv2 is from module layer1.0.conv2 |
| 86 | +Node layer1_0_bn2 is from module layer1.0.bn2 |
| 87 | +Node add is from module layer1.0 |
| 88 | +Node layer1_0_relu_1 is from module layer1.0.relu |
| 89 | +Node layer1_1_conv1 is from module layer1.1.conv1 |
| 90 | +Node layer1_1_bn1 is from module layer1.1.bn1 |
| 91 | +Node layer1_1_relu is from module layer1.1.relu |
| 92 | +Node layer1_1_conv2 is from module layer1.1.conv2 |
| 93 | +Node layer1_1_bn2 is from module layer1.1.bn2 |
| 94 | +Node add_1 is from module layer1.1 |
| 95 | +Node layer1_1_relu_1 is from module layer1.1.relu |
| 96 | +Node layer2_0_conv1 is from module layer2.0.conv1 |
| 97 | +Node layer2_0_bn1 is from module layer2.0.bn1 |
| 98 | +Node layer2_0_relu is from module layer2.0.relu |
| 99 | +Node layer2_0_conv2 is from module layer2.0.conv2 |
| 100 | +Node layer2_0_bn2 is from module layer2.0.bn2 |
| 101 | +Node layer2_0_downsample_0 is from module layer2.0.downsample.0 |
| 102 | +Node layer2_0_downsample_1 is from module layer2.0.downsample.1 |
| 103 | +Node add_2 is from module layer2.0 |
| 104 | +Node layer2_0_relu_1 is from module layer2.0.relu |
| 105 | +Node layer2_1_conv1 is from module layer2.1.conv1 |
| 106 | +Node layer2_1_bn1 is from module layer2.1.bn1 |
| 107 | +Node layer2_1_relu is from module layer2.1.relu |
| 108 | +Node layer2_1_conv2 is from module layer2.1.conv2 |
| 109 | +Node layer2_1_bn2 is from module layer2.1.bn2 |
| 110 | +Node add_3 is from module layer2.1 |
| 111 | +Node layer2_1_relu_1 is from module layer2.1.relu |
| 112 | +Node layer3_0_conv1 is from module layer3.0.conv1 |
| 113 | +Node layer3_0_bn1 is from module layer3.0.bn1 |
| 114 | +Node layer3_0_relu is from module layer3.0.relu |
| 115 | +Node layer3_0_conv2 is from module layer3.0.conv2 |
| 116 | +Node layer3_0_bn2 is from module layer3.0.bn2 |
| 117 | +Node layer3_0_downsample_0 is from module layer3.0.downsample.0 |
| 118 | +Node layer3_0_downsample_1 is from module layer3.0.downsample.1 |
| 119 | +Node add_4 is from module layer3.0 |
| 120 | +Node layer3_0_relu_1 is from module layer3.0.relu |
| 121 | +Node layer3_1_conv1 is from module layer3.1.conv1 |
| 122 | +Node layer3_1_bn1 is from module layer3.1.bn1 |
| 123 | +Node layer3_1_relu is from module layer3.1.relu |
| 124 | +Node layer3_1_conv2 is from module layer3.1.conv2 |
| 125 | +Node layer3_1_bn2 is from module layer3.1.bn2 |
| 126 | +Node add_5 is from module layer3.1 |
| 127 | +Node layer3_1_relu_1 is from module layer3.1.relu |
| 128 | +Node layer4_0_conv1 is from module layer4.0.conv1 |
| 129 | +Node layer4_0_bn1 is from module layer4.0.bn1 |
| 130 | +Node layer4_0_relu is from module layer4.0.relu |
| 131 | +Node layer4_0_conv2 is from module layer4.0.conv2 |
| 132 | +Node layer4_0_bn2 is from module layer4.0.bn2 |
| 133 | +Node layer4_0_downsample_0 is from module layer4.0.downsample.0 |
| 134 | +Node layer4_0_downsample_1 is from module layer4.0.downsample.1 |
| 135 | +Node add_6 is from module layer4.0 |
| 136 | +Node layer4_0_relu_1 is from module layer4.0.relu |
| 137 | +Node layer4_1_conv1 is from module layer4.1.conv1 |
| 138 | +Node layer4_1_bn1 is from module layer4.1.bn1 |
| 139 | +Node layer4_1_relu is from module layer4.1.relu |
| 140 | +Node layer4_1_conv2 is from module layer4.1.conv2 |
| 141 | +Node layer4_1_bn2 is from module layer4.1.bn2 |
| 142 | +Node add_7 is from module layer4.1 |
| 143 | +Node layer4_1_relu_1 is from module layer4.1.relu |
| 144 | +Node avgpool is from module avgpool |
| 145 | +Node flatten is from module |
| 146 | +Node fc is from module fc |
| 147 | +Node output is from module None |
| 148 | +""" |
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