rtdetr进行自动压缩过程中报错如下

[desinerPol]

运行指令:
python run.py --config_path=./configs/rtdetr_hgnetv2_x_qat_dis.yaml --save_dir='./output/' --devices='cpu'

配置文件：

Global:
reader_config: configs/rtdetr_reader.yml
include_nms: False
Evaluation: True
model_dir: ./models/rtdetr_hgnetv2_6x_coco/
model_filename: model.pdmodel
params_filename: model.pdiparams

Distillation:
alpha: 1.0
loss: soft_label

TrainConfig:
train_iter: 500
eval_iter: 100
learning_rate:
type: CosineAnnealingDecay
learning_rate: 0.00003
T_max: 10000
optimizer_builder:
optimizer:
type: SGD
weight_decay: 4.0e-05

报错信息：
C++ Traceback (most recent call last):

0 paddle::framework::ThreadPoolTemplpaddle::framework::StlThreadEnvironment::WorkerLoop(int)
1 paddle::framework::ProgramInterpreter::RunInstructionAsync(unsigned long)
2 paddle::framework::ProgramInterpreter::RunInstruction(paddle::framework::Instruction const&)
3 paddle::framework::ProgramInterpreter::RunOperator(paddle::framework::Instruction const&)
4 phi::KernelImpl<void ()(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, std::string const&, std::string const&, bool, phi::DenseTensor), &(void phi::GridSampleKernel<float, phi::CPUContext>(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, std::string const&, std::string const&, bool, phi::DenseTensor*))>::Compute(phi::KernelContext*)
5 void phi::GridSampleKernel<float, phi::CPUContext>(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, std::string const&, std::string const&, bool, phi::DenseTensor*)

[wanghaoshuang]

请问您使用的 PaddlePaddle 和 PaddleSlim 版本格式多少？

[desinerPol]

请问您使用的 PaddlePaddle 和 PaddleSlim 版本格式多少？

paddlepaddle-gpu 2.6.1
paddleSlim git develop