Comments (1)
这个已经很明显了呀,你需要固定一下Shape再进行转换,RKNN只支持固定的shape,这和Paddle2ONNX无关。
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Related Issues (20)
- unsupported operator: unfold HOT 4
- [Build] abseil demands C++14 or better HOT 4
- 将apollo-model-centerpoint训练的模型转onnx时,报算子不支持的问题 HOT 1
- custom_ops映射使用问题 HOT 2
- unsupported ops: conditional_block,select_input,tril_triu HOT 1
- 量化paddle模型后通过Paddle2Onnx导出onnx存在的问题 HOT 29
- 能否指定 IR representation的版本 HOT 18
- 量化的飞桨模型部署正常,但是转化为onnx模型出现问题(非量化的模型转为onnx可以正常部署) HOT 3
- 编译Paddle2ONNX出现报错 HOT 2
- 请问如何将onnx的输入的batch size 固定为1,现在是动态输入的batch size HOT 1
- Paddle2ONNX New and Upgraded Plan HOT 13
- ModuleNotFoundError: No module named 'paddle2onnx_cpp2py_export' HOT 8
- 转换成onnx后使用netron可视化尺寸不是-1而是p2o.DynamicDimension.0-5 HOT 2
- 希望提供C API HOT 2
- Test tool bug : onnxbase.py does not support "tensorlist" as input when testing operators HOT 1
- [Split] operators bug : In ONNX opset version 18, there is a bug when inferring models with the [Split] operator. HOT 1
- depthwise_conv2d, this model cannot be exported to ONNX. HOT 4
- paddleocr DBnet 转成onnx 后 reshape2 丢了
- 某计算设备支持的ReduceProd算子与P2O支持的ReduceProd算子不兼容
- 模型推理报错:Greater OP 的输入参数(bitwise_and_5.tmp_0)的类型'tensor(bool)'无效。
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