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.
If the dependencies of this package cannot be correctly installed from PyPI for any reason, you can try using the NVIDIA package index instead:
export NVIDIA_TENSORRT_DISABLE_INTERNAL_PIP=0
pip install tensorrt
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
File details
Details for the file tensorrt_dispatch_cu13-10.15.1.29.tar.gz.
File metadata
- Download URL: tensorrt_dispatch_cu13-10.15.1.29.tar.gz
- Upload date:
- Size: 19.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4577d77a067cf6401daefcd08852db3d9329f39818bbe8a4f9e0ac87b811b965
|
|
| MD5 |
ee4ffadca0bde1025a502916541ae9ba
|
|
| BLAKE2b-256 |
86b3bd8526ee0e743fe3fa3038af4494df46697b4679532c232f8d2df17b3d94
|
