Table of Contents
Introduction
Polygraphy is a toolkit designed to assist in running and debugging deep learning models
in various frameworks. It includes a Python API and
a command-line interface (CLI) built using this API.
Among other things, Polygraphy lets you:
- Run inference among multiple backends, like TensorRT and ONNX-Runtime, and compare results
(example: API, CLI)
- Convert models to various formats, e.g. TensorRT engines with post-training quantization
(example: API, CLI)
- View information about various types of models
(example: CLI)
- Modify ONNX models on the command-line:
- Extract subgraphs (example: CLI)
- Simplify and sanitize (example: CLI)
- Isolate faulty tactics in TensorRT
(example: CLI)
Installation
IMPORTANT: Polygraphy supports only Python 3.6 and later.
Before following the instructions below, please ensure you are using a supported version of Python.
Installing Prebuilt Wheels
python -m pip install colored polygraphy --extra-index-url https://pypi.ngc.nvidia.com
NOTE: On Linux, the command-line toolkit is usually installed to ${HOME}/.local/bin by default.
Make sure to add this directory to your PATH environment variable.
Building From Source
Using Make Targets (Linux)
make install
Using Powershell Script (Windows)
Make sure you are allowed to execute scripts on your system then run:
.\install.ps1
Building Manually
- Install prerequisites:
python -m pip install wheel
- Build a wheel:
python setup.py bdist_wheel
-
Install the wheel manually from outside the repository:
On Linux, run:
python -m pip install Polygraphy/dist/polygraphy-*-py2.py3-none-any.whl
On Windows, using Powershell, run:
$wheel_path = gci -Name Polygraphy\dist
python -m pip install Polygraphy\dist\$wheel_path
NOTE: It is strongly recommended to install the colored module for colored output
from Polygraphy, as this can greatly improve readability:
python -m pip install colored
Installing Dependencies
Polygraphy has no hard-dependencies on other Python packages. However, much of the functionality included
does require other Python packages.
Automatically Installing Dependencies
It's non-trivial to determine all the packages that will be required ahead of time,
since it depends on exactly what functionality is being used.
To make this easier, Polygraphy can optionally automatically install or upgrade dependencies at runtime, as they are needed.
To enable this behavior, set the POLYGRAPHY_AUTOINSTALL_DEPS environment variable to 1 or
polygraphy.config.AUTOINSTALL_DEPS = True using the Python API.
NOTE: By default, dependencies will be installed using the current interpreter, and may overwrite existing
packages. The default installation command, which is python -m pip install, can be overriden by setting
the POLYGRAPHY_INSTALL_CMD environment variable, or setting polygraphy.config.INSTALL_CMD using the Python API.
If you'd like Polygraphy to prompt you before automatically installing or
upgrading pacakges, set the POLYGRAPHY_ASK_BEFORE_INSTALL environment variable to 1
or polygraphy.config.ASK_BEFORE_INSTALL = True using the Python API.
Installing Manually
Each backend directory includes a requirements.txt file that specifies the minimum set of packages
it depends on. This does not necessarily include all packages required for all the functionality provided
by the backend, but does serve as a good starting point.
You can install the requirements for whichever backends you're interested in with:
python -m pip install -r polygraphy/backend/<name>/requirements.txt
If additional packages are required, warnings or errors will be logged.
You can install the additional packages manually with:
python -m pip install <package_name>
For details on the various tools included in the Polygraphy toolkit,
see the CLI User Guide.
Python API
For more information on the Polygraphy Python API, including a high-level overview and the
Python API reference documentation, see the API directory.
Examples
For examples of both the CLI and Python API, see the examples directory.
How-To Guides
For how-to guides, see the how-to guides directory.
Contributing
For information on how you can contribute to this project, see CONTRIBUTING.md