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我的硬件是单张RTX 3050,使用指令 python -m torch.distributed.launch --use_env -m dipoorlet -I dipoorlet_work_dir/ -N 1000 -D trt -M models/mobilev2_model.onnx -A mse -O dipoorlet_brecq/ --brecq 执行模型量化,产生了CUDA out of memory的运行报错。我检查了所有可以使用的命令行参数,没有发现可以调整数据加载批次的命令,请问有什么手段可以消除这个报错吗?
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可以减少-N后的数量
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我的硬件是单张RTX 3050,使用指令
python -m torch.distributed.launch --use_env -m dipoorlet -I dipoorlet_work_dir/ -N 1000 -D trt -M models/mobilev2_model.onnx -A mse -O dipoorlet_brecq/ --brecq
执行模型量化,产生了CUDA out of memory的运行报错。我检查了所有可以使用的命令行参数,没有发现可以调整数据加载批次的命令,请问有什么手段可以消除这个报错吗?
The text was updated successfully, but these errors were encountered: