import tensorrt_llm失败通常意味着Python环境中没有找到名为tensorrt_llm的模块。这可能是因为TensorRT没有正确安装,或者tensorrt_llm模块并非TensorRT标准库的一部分,而是某个特定项目或第三方库中的模块。 安装或配置指导: 如果你确实需要使用TensorRT,并且tensorrt_llm是某个特定库的一部分
1. python3 -c "import tensorrt_llm 出现如下错误 module 'mpmath' has no attribute 'rational' 2. pip list | grep mpmath pip install mpmath==1.3.0 3. try again python3 -c "import tensorrt_llm [TensorRT-LLM] TensorRT-LLM version: 0.9.0.dev2024031900 success!!! github.com/kohya-ss/sd...
ImportError: /usr/local/lib/python3.10/dist-packages/tensorrt_llm/libs/libth_common.so: undefined symbol:ZN5torch6detail10class_baseC2ERKSsS3_SsRKSt9type_infoS6FATAL: Decoding operators failed to load. This may be caused by the incompatibility between PyTorch and TensorRT-LLM. Please rebuild and...
视觉模型可以试试NV的NeVA-22B | NVIDIA的NeVA-22B模型目前未完全开源,但可通过NVIDIA的**NIM(NVIDIA Inference Microservices)**平台访问。NeVA-22B的核心模型不开源,但依赖的部分框架如NeMo Framework、TensorRT-LLM和LangChain集成是开源的。开发者可以通过NIM平台的容器在支持CUDA的GPU上运行模型,并通过NVIDIA API C...
TensorRT-LLM https://nvidia.github.io/TensorRT-LLM/quick-start-guide.html https://nvidia.github.io/TensorRT-LLM/commands/trtllm-serve.html https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html MLC LLM https://llm.mlc.ai/docs/get_started/introduction.html https://llm.mlc.ai...
only. Support for FP8 is currently in progress and will be released soon. You can access the custom branch of TRTLLM specifically for DeepSeek-V3 support through the following link to experience the new features directly:https://github.com/NVIDIA/TensorRT-LLM/tree/deepseek/examples/deepseek_v...
网上的一些教程代码都是很老旧的,这样就导致其实还有很多其他的问题,比如AttributeError: module 'pgl' has no attribute 'graph_wrapper'。而且目前pip只能装2.0.0版本及以上的包。 所以得从源码编译安装:Release 1.2 · PaddlePaddle/PGL · GitHub 代码语言:javascript ...
在android做3DES加密功能时 eclipse 中 import sun.misc.BASE64Decoder; 报错 解决办法: 在Java Build Path 中先Remove掉Libraries中的JRE System Library 然后在 Add Library 中选择 JRE System Library 就可以了 === 后来发现这么导入编译是不报错了 但运行报错 再导入下面的java文件 好了 http://dlwt.csdn....
Required-by: accelerate, bitsandbytes, compressed-tensors, deepspeed, flash-attn, lightning-thunder, openrlhf, optimum, peft, torch-tensorrt, torchmetrics, torchvision, vllm, xformers root@e4b47fc2098b:/workspace/OpenRLHF# pip show flash_attn ...
>>> import torch >>> torch.compiled_with_cxx11_abi() False >>> torch.__version__ '2.1.0+cu121' Community pytorch is always compiled and released with-D_GLIBCXX_USE_CXX11_ABI=0 Howevertransformer_engine_extensionsis compiled and released with-D_GLIBCXX_USE_CXX11_ABI=1thus it's looking...