Skip to main content

Framework that provides tools allowing for monitoring, training and evaluating ML models

Project description

wp21_train

A modular, extensible Python framework designed for managing data parsing, serialization, and metadata tracking in machine learning workflows — especially for hardware-aware applications such as HLS and AIE profiling. Built with physicists and hardware engineers in mind, wp21_train integrates support for CERN ROOT I/O, common formats like JSON and Pickle, and parsing of Xilinx toolchain outputs.


🚀 Features

  • Unified interface for reading/writing training data and metadata
  • ✅ Supports JSON, Pickle, YAML and ROOT formats
  • ✅ Parsers for:
    • HLS reports (Vivado HLS)
    • AIE profiling reports (Vitis AI Engine)
    • ATHENA configuration
  • ✅ A training callback interface to log key events and outputs
  • ✅ Lightweight type-to-symbol conversion utility
  • ✅ Versioned with easy integration (__version__)

📦 Included Modules

+-----------------------------------------------+--------------------------------------------------------------+-----------------------------------------+
| Module                                        | Description                                                  | Notes / Deps                            |
+-----------------------------------------------+--------------------------------------------------------------+-----------------------------------------+
| wp21_train/savers/json_adapter.py             | JSON-based serialization                                     | stdlib json                             |
| wp21_train/savers/pickle_adapter.py           | Pickle-based serialization                                   | stdlib pickle                           |
| wp21_train/savers/root_adapter.py             | ROOT I/O serialization                                       | uproot, awkward (no ROOT needed)        |
| wp21_train/savers/yml_adapter.py              | YAML I/O serialization                                       | PyYAML (yaml)                           |
| wp21_train/parser/hls_parser.py               | XML parsing of HLS synthesis reports                         |                                         |
| wp21_train/parser/aie_parser.py               | XML parsing of AIE runtime profiling                         |                                         |
| wp21_train/parser/athena_parser.py            | Parsing of ATHENA configuration                              |                                         |
| wp21_train/callbacks/base_callback.py         | Base callback for training pipelines                         |                                         |
| wp21_train/training/searchers/base_search.py  | Base class for search strategies                             |                                         |
| wp21_train/training/searchers/grid_search.py  | Grid search implementation                                   |                                         |
| wp21_train/training/searchers/random_search.py| Random search implementation                                 |                                         |
| wp21_train/training/trainers/base.py          | Common trainer utilities                                     |                                         |
| wp21_train/training/trainers/keras_base.py    | Keras trainer base                                           | tensorflow / keras                      |
| wp21_train/training/trainers/keras_trainer.py | Concrete Keras trainer                                       | tensorflow / keras                      |
| wp21_train/training/trainers/torch_base.py    | PyTorch trainer base                                         | torch                                   |
| wp21_train/training/trainers/torch_trainer.py | Concrete PyTorch trainer                                     | torch                                   |
| wp21_train/training/evaluator.py              | Generic evaluation helpers                                   |                                         |
| wp21_train/training/tuner.py                  | High-level tuning orchestration                              |                                         |
| wp21_train/utils/utility.py                   | Type-shortening / helpers for metadata tagging               |                                         |
| wp21_train/utils/logger.py                    | Simple logging of info/warn/error                            | (renamed from logging.py)               |
| wp21_train/utils/version.py                   | Package versioning (__version__)                             |                                         |
| wp21_train/__init__.py                        | Package exports                                              |                                         |
+-----------------------------------------------+--------------------------------------------------------------+-----------------------------------------+

🔧 Installation

From PyPI

pip install wp21_train

📁 Example Usage

🔄 JSON / Pickle / YAML / ROOT Adapters

from wp21_train.savers import json_adapter, pickle_adapter, yml_adapter, root_adapter

adapter = json_adapter("results", dump_data=my_data, dump_meta=my_metadata)
adapter.write_data()

meta, data = adapter.read_data()

🧠 HLS Parser

from wp21_train.parsers import hls_parser

parser = hls_parser("hls_report.xml")
print(parser._data)        # extracted info
print(parser._meta_data)   # associated metadata

⚙️ AIE Parser

from wp21_train.parsers import aie_parser

parser = aie_parser("aie_profile.xml")
print(parser._data)

⚙️ ATHENA Parser

from wp21_train.parsers import athena_parser

parser = athena_parser(data=data_from_adapter, metadata=meta_from_adapter, nevents=10000)
print(parser.config)
print(parser.environment)

📋 Training Callback

from wp21_train.callbacks import base_callback

cb = base_callback(project_name="FastML4Jets")
cb.on_train_begin()
# training loop here
cb.on_train_end()

🧬 Type Utility

from wp21_train.utils.utility import get_short_type

print(get_short_type(42))     # 'd'
print(get_short_type("abc"))  # 's'

🧬 Logging Utility

from wp21_train.utils.logging import log_message

log_message("error", f"Provided number of events ({nevents}) is not an integer.")

🧪 Testing

pytest tests/

📜 Requirements

  • Python ≥ 3.7
  • uproot (for reading ROOT files)
  • xml.etree.ElementTree (standard lib, for HLS/AIE parsing)
  • CERN ROOT (installed and configured) if you use .root I/O
  • PyYAML ≥ 6.0.0, < 7.0.0 (for reading yaml files)
  • awkward (data is represented as awkward arrays)
  • pybind11 and openmp - used to implement slow bits in C++

⚠️ Note About ROOT

This package supports .root file serialization and reading via CERN ROOT. If you intend to use this feature, ensure that ROOT is installed and properly sourced in your environment. You can install ROOT via Conda:

conda install -c conda-forge root

Or follow the official installation guide:
https://root.cern/install/


🧠 Versioning

The current package version is defined in:

from wp21_train.utils.version import __version__

🔖 License

This project is licensed under the MIT License. See the LICENSE file for details.


👤 Author

Ioannis Xiotidis
Email: ioannis.xiotidis@cern.ch

Pawel Mucha
Email: pawel.mucha@cern.ch

Vila Andela Petrovic
Email: vila.andela.petrovic@cern.ch

David Reikher
Email: david.reikher@cern.ch


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wp21_train-0.7.6.tar.gz (51.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wp21_train-0.7.6-py3-none-any.whl (56.6 kB view details)

Uploaded Python 3

File details

Details for the file wp21_train-0.7.6.tar.gz.

File metadata

  • Download URL: wp21_train-0.7.6.tar.gz
  • Upload date:
  • Size: 51.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.15

File hashes

Hashes for wp21_train-0.7.6.tar.gz
Algorithm Hash digest
SHA256 ac2419ac0bde267042f8efaa8c113da46207b0389c162848956a003c5abb64d0
MD5 a443be8586fd96fc59251ecb440b37b8
BLAKE2b-256 998b59b897e742826a3adb51f2d4277ababae67e92ee334c3715d2103e1b3bd6

See more details on using hashes here.

File details

Details for the file wp21_train-0.7.6-py3-none-any.whl.

File metadata

  • Download URL: wp21_train-0.7.6-py3-none-any.whl
  • Upload date:
  • Size: 56.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.15

File hashes

Hashes for wp21_train-0.7.6-py3-none-any.whl
Algorithm Hash digest
SHA256 02af58ea68d85898f48362ecd7ab4b6f4b36553fa62c25b95211073df921dba8
MD5 0d90db2a5a113d89dcf056c1851ad859
BLAKE2b-256 3d6e1825e333fded8dea3633d32fd11dfe30d6e2d3b400473efef34e109a4799

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page