pyproject.toml

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

[build-system]
requires = ["setuptools>=45", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "neural-tuner-env"
version = "0.1.0"
description = "NeuralTuner — RL environment for training LLMs to optimize neural networks for Qualcomm Snapdragon edge hardware"
requires-python = ">=3.10"
dependencies = [
    "black>=26.3.1",
    # Core OpenEnv runtime (provides FastAPI server + HTTP client types)
    # install from github
    # "openenv-core[core] @ git+https://github.com/meta-pytorch/OpenEnv.git",
    "isort>=8.0.1",
    "jmespath>=1.1.0",
    "openenv-core[core]>=0.2.2",
    # Environment-specific dependencies
    # Add all dependencies needed for your environment here
    # Examples:
    # "numpy>=1.19.0",
    # "torch>=2.0.0",
    # "gymnasium>=0.29.0",
    # "openspiel>=1.0.0",
    # "smolagents>=1.22.0,<2",
    "peft>=0.19.1",
    "wandb>=0.26.1",
    "weave>=0.52.37",
]

[project.optional-dependencies]
dev = [
    "pytest>=8.0.0",
    "pytest-cov>=4.0.0",
]
training = [
    "trl>=0.12.1",
    "transformers>=4.48.0",
    "datasets>=3.1.0",
    "accelerate>=1.1.0",
    "jupyter>=1.1.1",
    "matplotlib>=3.9.0",
    "pandas>=2.2.0",
]

[project.scripts]
server = "server.app:main"

[tool.setuptools]
include-package-data = true
packages = ["neural_tuner_env", "neural_tuner_env.server"]
package-dir = { "neural_tuner_env" = ".", "neural_tuner_env.server" = "server" }