bash pip install absl-py sphinx-glpi-theme prettytable 如果你的网络环境无法直接访问英伟达的服务器,你可能需要配置代理或使用其他方式来解决网络问题。 希望这些步骤能帮助你成功安装pytorch_quantization。如果你在安装过程中遇到任何问题,请随时提问。
您可以通过在终端中运行命令检查Python和pip的版本: python--versionpip--version 1. 2. **安装PyTorch。如果尚未安装,请参考[PyTorch官网]( 安装示例: pipinstalltorch torchvision torchaudio 1. 克隆PyTorch Quantization库的GitHub仓库并安装。 gitclonecdpytorchgitsubmodule update--init--recursivepipinstall-e. 1...
pip >= v19.0 Essential utilities git, pkg-config, wget Optional Packages Containerized build Docker >= 19.03 NVIDIA Container Toolkit Toolchains and SDKs (Cross compilation for Jetson platform) NVIDIA JetPack >= 5.0 (current support only for TensorRT 8.4.0 and TensorRT 8.5.2) (Cross compilatio...
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...
pip_train=HybridTrainPipe(batch_size=batch_size,num_threads=num_threads,device_id=local_rank, data_dir=image_dir+'/train', crop=crop,world_size=world_size,local_rank=local_rank) pip_train.build() dali_iter_train=DALIClassificationIterator(pip_train,size=pip_train.epoch_size("Reader")//wor...
pip install transformers torch 2. 加载预训练的BERT模型 我们将加载一个预训练的BERT模型,并对其进行量化。 importtorchfromtransformersimportBertModel,BertConfig# 加载预训练的BERT模型config=BertConfig.from_pretrained('bert-base-uncased')model=BertModel.from_pretrained(model_name,config=config)# 打印模型结构...
pip install quanto Quantization workflow Quanto does not make a clear distinction between dynamic and static quantization: models are always dynamically quantized, but their weights can later be "frozen" to integer values. A typical quantization workflow would consist of the following steps: ...
metal lowbit kernels: pip install (#1785) Mar 1, 2025 .gitmodules W4A8 based on CUTLASS (#880) Jan 6, 2025 .pre-commit-config.yaml Make util function and classes public and simplify import path (#2129) Apr 26, 2025 CITATION.cff ...
pip install quanto ``` [🤗 quanto](https://github.com/huggingface/quanto) does not make a clear distinction between dynamic and static quantization. Models are dynamically quantized first, but their weights can be "frozen" later to static values. A typical quantization workflow consists of the...
conda create -n flatquant python=3.10 -y conda activate flatquant pip install -r requirements.txt && pip install -e . && pip install triton==3.0.0Note: To run models like LLaMA-3.1 or Qwen-2.5, we use transformers==4.45.0 instead....