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Fix torch._C.Node attribute access (#372)
Attribute access with subscripting would previously work due to patching in https://github.com/pytorch/pytorch/pull/82511 but this has been removed. This commit uses the fix proposed in https://github.com/pytorch/pytorch/pull/82628 to define a helper method to call the appropriate access method.
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12
clip/clip.py
12
clip/clip.py
@@ -145,6 +145,14 @@ def load(name: str, device: Union[str, torch.device] = "cuda" if torch.cuda.is_a
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device_holder = torch.jit.trace(lambda: torch.ones([]).to(torch.device(device)), example_inputs=[])
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device_node = [n for n in device_holder.graph.findAllNodes("prim::Constant") if "Device" in repr(n)][-1]
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def _node_get(node: torch._C.Node, key: str):
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"""Gets attributes of a node which is polymorphic over return type.
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From https://github.com/pytorch/pytorch/pull/82628
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"""
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sel = node.kindOf(key)
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return getattr(node, sel)(key)
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def patch_device(module):
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try:
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graphs = [module.graph] if hasattr(module, "graph") else []
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@@ -156,7 +164,7 @@ def load(name: str, device: Union[str, torch.device] = "cuda" if torch.cuda.is_a
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for graph in graphs:
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for node in graph.findAllNodes("prim::Constant"):
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if "value" in node.attributeNames() and str(node["value"]).startswith("cuda"):
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if "value" in node.attributeNames() and str(_node_get(node, "value")).startswith("cuda"):
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node.copyAttributes(device_node)
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model.apply(patch_device)
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@@ -182,7 +190,7 @@ def load(name: str, device: Union[str, torch.device] = "cuda" if torch.cuda.is_a
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for node in graph.findAllNodes("aten::to"):
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inputs = list(node.inputs())
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for i in [1, 2]: # dtype can be the second or third argument to aten::to()
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if inputs[i].node()["value"] == 5:
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if _node_get(inputs[i].node(), "value") == 5:
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inputs[i].node().copyAttributes(float_node)
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model.apply(patch_float)
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