forked from jiuyuan/InfiniTensor
fix: onnx resize op input is none bug
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36baae7615
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d1799b67a3
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@ -85,7 +85,7 @@ class OnnxStub:
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while len(sorted_nodes) < len(model.graph.node):
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updated = False
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for i, node in enumerate(model.graph.node):
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if all(t in known_edge for t in node.input):
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if all(t in known_edge or t == "" for t in node.input):
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node.name = str(len(sorted_nodes)) + "_" + node.name
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sorted_nodes.append(i)
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known_edge.update(node.output)
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@ -613,15 +613,15 @@ class OnnxStub:
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"nearest_mode",
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]
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)
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if len(node.input) > 1:
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if len(node.input) > 1 and node.input[1] in data:
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roiVal = _parse_data(data[node.input[1]])
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else:
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roiVal = []
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if len(node.input) > 2:
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if len(node.input) > 2 and node.input[2] in data:
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scalesVal = _parse_data(data[node.input[2]])
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else:
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scalesVal = []
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if len(node.input) > 3:
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if len(node.input) > 3 and node.input[3] in data:
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sizesVal = _parse_data(data[node.input[3]])
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else:
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sizesVal = []
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@ -629,9 +629,21 @@ class OnnxStub:
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tensors[node.input[0]],
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output,
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axes,
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tensors[node.input[3]] if len(node.input) > 3 else None,
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tensors[node.input[2]] if len(node.input) > 2 else None,
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tensors[node.input[1]] if len(node.input) > 1 else None,
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(
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tensors[node.input[3]]
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if len(node.input) > 3 and node.input[3] != ""
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else None
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),
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(
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tensors[node.input[2]]
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if len(node.input) > 2 and node.input[2] != ""
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else None
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),
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(
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tensors[node.input[1]]
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if len(node.input) > 1 and node.input[1] != ""
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else None
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),
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sizesVal,
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scalesVal,
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roiVal,
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