Error when convert .weights to onnx

[job2003]

$ python3 yolov3_to_onnx.py Layer of type yolo not supported, skipping ONNX node generation. Layer of type yolo not supported, skipping ONNX node generation. Layer of type yolo not supported, skipping ONNX node generation. graph YOLOv3-608 ( %000_net[FLOAT, 64x3x416x416] ) initializers (

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105_convolutional, %105_convolutional_bn_scale, %105_convolutional_bn_bias, %105_convolutional_bn_mean, %105_convolutional_bn_var) %105_convolutional_lrelu = LeakyRelualpha = 0.1 %106_convolutional = Conv[auto_pad = 'SAME_LOWER', dilations = [1, 1], kernel_shape = [1, 1], strides = [1, 1]](%105_convolutional_lrelu, %106_convolutional_conv_weights, %106_convolutional_conv_bias) return %082_convolutional, %094_convolutional, %106_convolutional } Traceback (most recent call last): File "yolov3_to_onnx.py", line 749, in main() File "yolov3_to_onnx.py", line 741, in main onnx.checker.check_model(yolov3_model_def) File "/home/nvidia/.local/lib/python3.6/site-packages/onnx/checker.py", line 86, in check_model C.check_model(model.SerializeToString()) onnx.onnx_cpp2py_export.checker.ValidationError: Op registered for Upsample is depracted in domain_version of 10

==> Context: Bad node spec: input: "085_convolutional_lrelu" input: "086_upsample_scale" output: "086_upsample" name: "086_upsample" op_type: "Upsample" attribute { name: "mode" s: "nearest" type: STRING }