Export model weights from fast.ai First, we restore the fast.ai learner from the export “pickle” in the last section and save its model weights with PyTorch. from fastai.vision.all import * import torch def acc_camvid(*_): pass def get_y(*_): pass lea...
Step6-4: Convert Model Once you have installed MMDeploy, you can convert the PyTorch model in the OpenMMLab model zoo to the backend model with one magic spell! # Assume you have installed MMDeploy in ${MMDEPLOY_DIR} and MMDetection in ${MMDET_DIR} # If you do not know where to fin...
condainstall-cfastai-cpytorchfastai For other installation options, please refer to the FastAI documentation. 2 - Reusing fastai model in pytorch Export Model Weights from FastAI First, restore the FastAI learner from the export pickle at the last Section, and save its model weights with PyTorch....
LMDeploy也可以使用pytorch作为推理引擎。 TurboMind与TurboMind模型的关系:TurboMind是推理引擎的名字,TurboMind模型是一种模型存储格式,TurboMind引擎只能推理TurboMind格式的模型。 2.2 下载模型 本次实战营已经在开发机的共享目录中准备好了常用的预训练模型,可以运行如下命令查看: 代码语言:javascript 代码运行次数:0 ...
可以进入Python检查一下 PyTorch 和 lmdeploy 的版本。由于 PyTorch 在官方提供的环境里,我们应该可以看到版本显示,而 lmdeploy 需要我们自己安装,此处应该会提示“没有这个包”,如下图所示。 lmdeploy 没有安装,我们接下来手动安装一下,建议安装最新的稳定版。 如果是在 InternStudio 开发环境,需要先运行下面的命令...
①把PyTorch 模型,转换为ONNX、TorchScript 等和设备无关的 IR 模型; ②将 ONNX 模型转换为推理后端模型。 两者相结合,可实现端到端的模型转换,也就是从训练端到生产端的一键式部署。 MMDeploy 模型(也称 SDK Model) 它是模型转换结果的集合。包括:①后端模型,②模型的元信息。这些信息,将用于推理 SDK。
Navigate to the assets folder insideclassifierPyTorch [….\classifierPyTorch \Assets], find the ONNX model you previously copied there, and selectadd. After you added an ONNX model to the assets folder in solution explorer in VS, the project should now have two new files: ...
pytorch.org/whl/torch_stable.html pip install mmcv-full==1.5.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.8/index.html 安装OpenCV下载OpenCV 3+,Releases - OpenCV。 您可以下载并安装 OpenCV 预编译包到指定的目录下。也可以选择源码编译安装的方式 在安装目录中,找到 OpenCVConfig.c...
Train and deploy a PyTorch model,:PAI SDK for Python provides easy-to-use HighLevel APIs that allow you to train and deploy models in Platform for AI (PAI). This topic describes how to use PAI Python SDK to train and deploy a PyTorch ...
conda create -n lmdeploy python=3.10 -y conda activate lmdeploy conda install pytorch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 pytorch-cuda=12.1 -c pytorch -c nvidia -y pip install timm==1.0.8 openai==1.40.3 lmdeploy[all]==0.5.3 1. 2. 3. 4. 2.2 InternStudio环境获取模型 ...