# 手动添加nvidia-pyindex源到pip配置 pip config set global.index-url https://pypi.ngc.nvidia.com 然后再次尝试安装pytorch-quantization。 使用conda安装(如果可用): 请注意,并非所有包都支持通过conda安装。如果pytorch-quantization在conda仓库中可用,你可以使用以下命令安装: bash # 首先,确保你已经添加了nvidi...
PyPI packages (for demo applications/tests) onnx onnxruntime tensorflow-gpu >= 2.5.1 Pillow >= 9.0.1 pycuda < 2021.1 numpy pytest Code formatting tools (for contributors) Clang-format Git-clang-format NOTE: onnx-tensorrt, cub, and protobuf packages are downloaded along with TensorRT OSS,...
pip install pytorch-quantization --extra-index-url https://pypi.ngc.nvidia.com 3.Prepare coco dataset .├── annotations │ ├── captions_train2017.json │ ├── captions_val2017.json │ ├── instances_train2017.json │ ├── instances_val2017.json │ ├── person_keypoints_trai...
Stable release from Pypi which will default to CUDA 12.4 pip install torchao Stable Release from the PyTorch index pip install torchao --extra-index-url https://download.pytorch.org/whl/cu124#full options are cpu/cu118/cu124/cu126
pypi_0 pypi [conda] nvidia-cublas-cu12 12.1.3.1 pypi_0 pypi [conda] nvidia-cuda-cupti-cu12 12.1.105 pypi_0 pypi [conda] nvidia-cuda-nvrtc-cu12 12.1.105 pypi_0 pypi [conda] nvidia-cuda-runtime-cu12 12.1.105 pypi_0 pypi [conda] nvidia-cudnn-cu12 9.1.0.70 pypi_0 pypi [conda]...
You can install the latest release from PyPI: pip install brevitas Getting Started Brevitas currently offers quantized implementations of the most common PyTorch layers used in DNN underbrevitas.nn, such asQuantConv1d,QuantConv2d,QuantConvTranspose1d,QuantConvTranspose2d,QuantMultiheadAttention,QuantRNN,...
python >= 3.5, < 4 llvmlite >= 0.31.0 pytorch >= 1.5 numba >= 0.42.0 numpy >= 1.18.1 Install nnieqat via pypi: $ pip install nnieqat Install nnieqat in docker(easy way to solve environment problems): $cddocker $ docker build -t nnieqat-image. ...
Install Neural Compressor from pypi # Install 2.X API + Framework extension API + PyTorch dependency pip install neural-compressor[pt] # Install 2.X API + Framework extension API + TensorFlow dependency pip install neural-compressor[tf]
[conda] numpy-base 1.22.3 py310hfd2de13_0 anaconda [conda] pytorch 1.12.1 py3.10_0 pytorch [conda] torch 1.13.0a0+git09157c7 pypi_0 pypi [conda] torchmetrics 0.9.3 pyhd8ed1ab_0 conda-forge [conda] torchvision 0.14.0a0+a61e6ef pypi_0 pypi (AI-Feynman) davidlaxer@x86_64-apple-...
QSPARSE can be installed from PyPI: pip install qsparse Usage Documentation can be accessed from Read the Docs. Examples of applying QSPARSE to different tasks are provided at examples and mdpi2022. Citing If you find this open source release useful, please reference in your paper: Zhang, X...