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。
To install: pip install tensorrt You can skip theBuildsection to enjoy TensorRT with Python. Build Prerequisites To build the TensorRT-OSS components, you will first need the following software packages. TensorRT GA build TensorRT v8.6.1.6
2.Install dependencies 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 │ ├──...
#torch >= 1.9.1pip install pytorch-quantization --extra-index-url https://pypi.ngc.nvidia.com pip install tensorrt 1.Quantization Step -Step 1: Train FP32 model python quantization_code/fp32_train.py -Step 2: Get PTQ model python quantization_code/ptq.py ...
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 ``` [🤗 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...
pip install --pre torchao --index-url https://download.pytorch.org/whl/nightly/cu121#full options are cpu/cu118/cu121/cu124 Formostdevelopers you probably want to skip building custom C++/CUDA extensions for faster iteration USE_CPP=0 pip install -e. ...
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: ...
pip install git+https://github.com/Xilinx/brevitas.git Introduction Brevitas implements a set of building blocks at different levels of abstraction to model a reduced precision hardware data-path at training time. Brevitas provides a platform both for researchers interested in implementing new quantiza...
Install $ pip install vector-quantize-pytorch Usage import torch from vector_quantize_pytorch import VectorQuantize vq = VectorQuantize( dim = 256, codebook_size = 512, # codebook size decay = 0.8, # the exponential moving average decay, lower means the dictionary will change faster commitment_...