NVIDIA TensorRT Model Optimizer(简称 Model Optimizer 或 ModelOpt)是一个库,包含了最先进的模型优化技术,包括量化、蒸馏、剪枝和稀疏性,用于压缩模型。它接受 torch 或 ONNX 模型作为输入,并提供 Python API,方便用户堆叠不同的模型优化技术,以生成优化后的量化检查点。作为 NVIDIA AI 软件生态系统的一部分,Model...
截至2024年5月8日,NVIDIA Model Optimizer已以英伟达PyPI安装包的形式向公众发布,且可供所有开发人员免费使用。开发人员可以访问GitHub上的NVIDIA/TensorRT-Model-Optimizer存储库,获取示例脚本,以帮助他们使用这款强大的工具。 Model Optimizer主要针对PyTorch和ONNX模型,生成模拟量化检查点。这些检查点可以轻松地部署到其他...
nvidia-modelopt is a unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or Tenso
Nvidia TensorRT Model Optimizer has changed its LICENSE from NVIDIA Proprietary (library wheel) and MIT (examples) to Apache 2.0 in this first full OSS release. Deprecate Python 3.8, Torch 2.0, and Cuda 11.x support. ONNX Runtime dependency upgraded to 1.20 which no longer supports Python 3.9...
【NVIDIA TensorRT Model Optimizer:用于量化和压缩深度学习模型以优化GPU上推理性能的库】'NVIDIA TensorRT Model Optimizer - TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization and sparsity. It compresses deep learning models for downstream de...
This is made available by using NVIDIA TensorRT Model Optimizer, which is a library that quantizes and compresses deep learning models for optimized inference on GPUs. It also uses NVIDIA TensorRT-LLM, which is an open-source library for optimizing LLM inference. We present bot...
Model Optimizer는 PyTorch 및 ONNX 모델에 대해 시뮬레이션된 양자화된 체크포인트를 생성합니다. 이러한 양자화된 체크포인트는 TensorRT-LLM 또는 TensorRT에 원활하게 배포할 ...
TensorRT-Model-Optimizer / examples / speculative_decoding / README.md README.md5.41 KB 一键复制编辑原始数据按行查看历史 Keval Morabia提交于2个月前.Update 0.23.0 - OSS release Speculative Decoding End-to-end Speculative Decoding Fine-tuning ...
截至2024年5月8日,NVIDIA Model Optimizer已以英伟达PyPI安装包的形式向公众发布,且可供所有开发人员免费使用。开发人员可以访问GitHub上的NVIDIA/TensorRT-Model-Optimizer存储库,获取示例脚本,以帮助他们使用这款强大的工具。 Model Optimizer主要针对PyTorch和ONNX模型,生成模拟量化检查点。这些检查点可以轻松地部署到其他...
TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to opt