A high performance deep learning inference library
Project description
NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. It is designed to work in a complementary fashion with training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses specifically on running an already-trained network quickly and efficiently on NVIDIA hardware.
IMPORTANT: This is a special release of TensorRT designed to work only with TensorRT-LLM. Please refrain from upgrading to this version if you are not using TensorRT-LLM.
To install, please execute the following:
pip install tensorrt --extra-index-url https://pypi.nvidia.com
Or add the index URL to the (space-separated) PIP_EXTRA_INDEX_URL environment variable:
export PIP_EXTRA_INDEX_URL='https://pypi.nvidia.com'
pip install tensorrt
When the extra index url does not contain https://pypi.nvidia.com
, a nested pip install
will run with the proper extra index url hard-coded.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hashes for tensorrt_lean-cu12-10.2.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 06b88eaee6600bea961a793126a4e514e3f62825fd89bb4f82805f6b3e58687a |
|
MD5 | e6f8b9386f1e4dcd8a27bfa0124e3d7f |
|
BLAKE2b-256 | 8d734d3dadc3cc135650d76d573d0177dfeeefa4be030dc3cebcc2b84330c45c |