将onnx模型转mace models时，一个conv op转换失败，报错如下:
Traceback (most recent call last):
File "tools/converter.py", line 1334, in
flags.func(flags)
File "tools/converter.py", line 926, in convert_func
convert.convert(configs, MODEL_CODEGEN_DIR, flags.enable_micro)
File "tools/python/convert.py", line 89, in convert
net_def_with_Data = convert_net(net_name, net_conf, enable_micro)
File "tools/python/convert.py", line 235, in convert_net
output_graph_def, converter_info = converter.run()
File "tools/python/transform/onnx_converter.py", line 565, in run
self.convert_ops(graph_def)
File "tools/python/transform/onnx_converter.py", line 649, in convert_ops
self._op_convertersnode.op_type
File "tools/python/transform/onnx_converter.py", line 937, in convert_conv2d
filter_shape = self._graph_shapes_dict[node.inputs[1]]
KeyError: '819'
而其中，这个op打印如下：
{
input: "540"
input: "819"
input: "820"
output: "818"
name: "Conv_12"
op_type: "Conv"
attribute {
name: "dilations"
ints: 1
ints: 1
type: INTS
}
attribute {
name: "group"
i: 32
type: INT
}
attribute {
name: "kernel_shape"
ints: 3
ints: 3
type: INTS
}
attribute {
name: "pads"
ints: 1
ints: 1
ints: 1
ints: 1
type: INTS
}
attribute {
name: "strides"
ints: 2
ints: 2
type: INTS
}
}
顺着代码看了下，报错那行代码中试图从self._graph_shapes_dict中读取shape，这个self._graph_shapes_dict是通过读取图中tensor得到的，可819号其实是参数W，所以没有出现在self._graph_shapes_dict中，导致报错。请问这个符合预期吗？
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XiaoMi
