[Paddle Inference] Add fill_any_like trt converter. #47974
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你的PR提交成功，感谢你对开源项目的贡献! |
qingqing01
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zhangjun,
JZZ-NOTE,
jiweibo,
zhoutianzi666 and
qingqing01
b3602sss
reviewed
Nov 15, 2022
| return false; | ||
| } | ||
| int dtype = PADDLE_GET_CONST(int, desc.GetAttr("dtype")); | ||
| if (dtype != 2 && dtype != 5) { |
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framework::proto::VarType::INT32换这种写法？
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同意，使用 auto dtype = static_cast<framework::proto::VarType::Type>( PADDLE_GET_CONST(int, op_desc.GetAttr("dtype")));转换成framework::proto::VarType::INT32,可读性更好
| std::vector<int32_t>(nbDims_num, 1), output_name + "_one_rank_tensor_"); | ||
| auto input_shape_tensor = one_rank_tensor; | ||
| auto* shuffle = TRT_ENGINE_ADD_LAYER(engine_, Shuffle, *value_tensor); | ||
| shuffle->setInput(1, *input_shape_tensor); |
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我理解这个过程应该就是把一个shape为(1,)的tensor，reshape成(1,1,1,,,,)（nbDims_num个1）这样的形式，nbDims_num在组网过程中完全固定下来，能否改成不用setInput(1, *input_shape_tensor);这样的形式，直接改成setReshapeDimensions。
jiweibo
approved these changes
Nov 16, 2022
b3602sss
approved these changes
Nov 16, 2022
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fill_any_like trt converter only support int32 float32