Question

第一次问答通常会找到答案,但现在我确实被困。

我不能再做工作,我 t卑,4090gpu

我在排位表一时收到以下信息:

. . nvidia-tensorrt 99.0.0 . . tensorrt 8.6.1 tensorrt-libs 8.6.1

我将道路放在生命线上,但仍然有错误:

2023-09-13 17:50:32.000461:W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38]TF-TRT 警告:Cannot dlopen some TensorRT Library。如果你希望使用Nvidia GPU,配备TensorRT,请确保适当安装上述失踪图书馆。

预支-集聚物;

I made the software work fine with little version troubles the first time, then my conda env crash on reinstall I got the error

It works only with the CPU Regards

我试图从终端引信软件开端开始多倍地制造新的冲积。

Here is my full pip list output: Package Version Location

absl-py 1.4.0 accelerate 0.20.3 aiohttp 3.8.4 aiosignal 1.3.1 albumentations 0.4.3 altair 5.0.1 antlr4-python3-runtime 4.8 astor 0.8.1 astunparse 1.6.3 async-timeout 4.0.2 attrs 23.1.0 backports.zoneinfo 0.2.1 blinker 1.6.2 cachetools 5.3.1 certifi 2023.5.7 charset-normalizer 3.1.0 click 8.1.3 clip 1.0 /home/mau/src/clip cmake 3.26.4 decorator 5.1.1 einops 0.6.1 filelock 3.12.2 flatbuffers 23.5.26 frozenlist 1.3.3 fsspec 2023.6.0 ftfy 6.1.1 future 0.18.3 gast 0.3.3 gitdb 4.0.10 GitPython 3.1.31 google-auth 2.21.0 google-auth-oauthlib 0.4.6 google-pasta 0.2.0 grpcio 1.56.2 h5py 2.10.0 huggingface-hub 0.15.1 idna 3.4 imageio 2.9.0 imageio-ffmpeg 0.4.2 imgaug 0.2.6 importlib-metadata 6.7.0 importlib-resources 5.12.0 Jinja2 3.1.2 joblib 1.3.1 jsonschema 4.17.3 keras 2.11.0 Keras-Applications 1.0.8 Keras-Preprocessing 1.1.2 kornia 0.6.4 latent-diffusion 0.0.1 ../imageGenerator/latent-diffusion-main lazy-loader 0.2 libclang 16.0.0 lit 16.0.6 Markdown 3.4.3 markdown-it-py 3.0.0 MarkupSafe 2.1.3 mdurl 0.1.2 mkl-fft 1.3.1 mkl-random 1.2.2 mkl-service 2.4.0 mpmath 1.3.0 multidict 6.0.4 networkx 3.1 numpy 1.23.5 nvidia-cublas-cu11 11.10.3.66 nvidia-cublas-cu12 12.2.1.16 nvidia-cuda-cupti-cu11 11.7.101 nvidia-cuda-cupti-cu12 12.2.60 nvidia-cuda-nvcc-cu12 12.2.91 nvidia-cuda-nvrtc-cu11 11.7.99 nvidia-cuda-runtime-cu11 11.7.99 nvidia-cuda-runtime-cu12 12.2.53 nvidia-cudnn-cu11 8.5.0.96 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu11 10.9.0.58 nvidia-cufft-cu12 11.0.8.15 nvidia-curand-cu11 10.2.10.91 nvidia-curand-cu12 10.3.3.53 nvidia-cusolver-cu11 11.4.0.1 nvidia-cusolver-cu12 11.5.0.53 nvidia-cusparse-cu11 11.7.4.91 nvidia-cusparse-cu12 12.1.1.53 nvidia-dali-cuda110 1.23.0 nvidia-dali-nvtf-plugin 1.23.0+nv23.3 nvidia-nccl-cu11 2.14.3 nvidia-nccl-cu12 2.18.3 nvidia-nvjitlink-cu12 12.2.91 nvidia-nvtx-cu11 11.7.91 nvidia-tensorflow 1.15.5+nv23.3 nvidia-tensorrt 99.0.0 oauthlib 3.2.2 omegaconf 2.1.1 opencv-python 4.1.2.30 opencv-python-headless 4.7.0.72 opt-einsum 3.3.0 packaging 23.1 pandas 2.0.3 Pillow 9.4.0 pip 20.3.3 pkgutil-resolve-name 1.3.10 protobuf 3.19.0 psutil 5.9.5 pudb 2019.2 pyarrow 12.0.1 pyasn1 0.5.0 pyasn1-modules 0.3.0 pydeck 0.8.1b0 pyDeprecate 0.3.1 Pygments 2.15.1 Pympler 1.0.1 pyrsistent 0.19.3 python-dateutil 2.8.2 pytorch-lightning 1.4.2 pytz 2023.3 pytz-deprecation-shim 0.1.0.post0 PyWavelets 1.4.1 PyYAML 6.0 regex 2023.6.3 requests 2.31.0 requests-oauthlib 1.3.1 rich 13.4.2 rsa 4.9 sacremoses 0.0.53 scann 1.2.9 scikit-image 0.20.0 scipy 1.9.1 semver 3.0.1 setuptools 67.8.0 six 1.16.0 smmap 5.0.0 streamlit 1.19.0 sympy 1.12 taming-transformers 0.0.1 /home/mau/src/taming-transformers tenacity 8.2.2 tensorboard 2.11.0 tensorboard-data-server 0.6.1 tensorboard-plugin-wit 1.8.1 tensorflow 2.11.0 tensorflow-estimator 2.11.0 tensorflow-io-gcs-filesystem 0.32.0 tensorrt 8.6.1 tensorrt-bindings 8.6.1 tensorrt-libs 8.6.1 termcolor 2.3.0 test-tube 0.7.5 tifffile 2023.4.12 tokenizers 0.12.1 toml 0.10.2 toolz 0.12.0 torch 2.0.1 torch-fidelity 0.3.0 torchmetrics 0.6.0 torchvision 0.15.2 tornado 6.3.2 tqdm 4.65.0 transformers 4.19.2 triton 2.0.0 typing-extensions 4.6.3 tzdata 2023.3 tzlocal 4.3.1 urllib3 1.26.16 urwid 2.1.2 validators 0.20.0 watchdog 3.0.0 wcwidth 0.2.6 Werkzeug 2.3.6 wheel 0.40.0 wrapt 1.15.0 yarl 1.9.2 zipp 3.15.0

请帮助我无法继续努力建立数据库的定制形象

Answer 1

页: 1 随着这一变化的推移,它得到了解决。 yaml

    name: ldm
    channels:
      - pytorch
      - defaults
    dependencies:
      - python=3.8.5
      - pip=20.3
      - **cudatoolkit**
      - pytorch=1.7.0
      - torchvision=0.8.1
      - numpy=1.19.2
      - pip:
        - albumentations==0.4.3
        - opencv-python==4.1.2.30
        - pudb==2019.2
        - imageio==2.9.0
        - imageio-ffmpeg==0.4.2
        - **pytorch-lightning==1.5.10**
        - omegaconf==2.1.1
        - test-tube>=0.7.5
        - streamlit>=0.73.1
        - einops==0.3.0
        - torch-fidelity==0.3.0
        - **transformers**
        - **kornia**
        - -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
        - -e git+https://github.com/openai/CLIP.git@main#egg=clip
        - -e .

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