feat: Initial project setup with structure, dependencies, and tooling
This commit is contained in:
Craig
9
.pre-commit-config.yaml
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9
.pre-commit-config.yaml
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repos:
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.5.0 # Use a specific version
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hooks:
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- id: ruff-format
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- id: ruff
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args: [--fix, --select, I001, --exit-non-zero-on-fix]
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- id: ruff
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args: [--fix, --exit-non-zero-on-fix]
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.python-version
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.python-version
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3.12
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README.md
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README.md
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# Torchvision Vibecoding Project
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A project demonstrating finetuning torchvision object detection models, built with the help of Vibecoding AI.
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check_gpu.py
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check_gpu.py
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import torch
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if torch.cuda.is_available():
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print(f"CUDA is available. GPU: {torch.cuda.get_device_name(0)}")
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print(f"PyTorch CUDA version: {torch.version.cuda}")
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else:
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print("CUDA is not available. PyTorch is running on CPU.")
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# Check torchvision
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try:
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import torchvision
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print(f"Torchvision version: {torchvision.__version__}")
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# You might need specific torchvision ops to fully check GPU integration,
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# but successful import and version check is a good start.
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print("Torchvision imported successfully.")
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except ImportError:
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print("Torchvision could not be imported.")
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0
configs/__init__.py
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configs/__init__.py
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configs/base_config.py
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configs/base_config.py
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main.py
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main.py
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def main():
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print("Hello from torchvision-vibecoding-project!")
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if __name__ == "__main__":
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main()
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0
models/__init__.py
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models/__init__.py
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models/detection.py
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models/detection.py
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```text
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```text
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Based on the project specification (`project-spec.md`), set up the initial project structure and tooling.
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Based on the project specification (`project-spec.md`), set up the initial project structure and tooling.
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1. Create the following directory structure:
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1. Create the following directory structure within the current directory:
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```
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```
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torchvision-tutorial/
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├── configs/
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├── configs/
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├── data/
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├── data/
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├── models/
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├── models/
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├── utils/
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├── utils/
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├── tests/
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├── tests/
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├── scripts/
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├── scripts/
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├── .git/ # (Initialize git)
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├── .gitignore # (Created in step 2)
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├── .gitignore
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├── pyproject.toml # (Created in step 3)
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├── pyproject.toml
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├── pre-commit-config.yaml # (Created in step 4)
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├── pre-commit-config.yaml
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├── README.md # (Created in step 7)
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├── README.md
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├── train.py # (Created in step 6)
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├── train.py # Empty file
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└── test.py # (Created in step 6)
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└── test.py # Empty file
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```
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```
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2. Initialize a git repository in the `torchvision-tutorial` directory.
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2. Initialize a git repository in the `torchvision-tutorial` directory.
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3. Create a `.gitignore` file suitable for a Python project, ignoring directories like `data/`, `outputs/`, `logs/`, virtual environment folders (`.venv`), cache files (`__pycache__/`, `.pytest_cache/`, `.ruff_cache/`), and model checkpoints (`*.pth`).
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3. Create a `.gitignore` file suitable for a Python project, ignoring directories like `data/`, `outputs/`, `logs/`, virtual environment folders (`.venv`), cache files (`__pycache__/`, `.pytest_cache/`, `.ruff_cache/`), and model checkpoints (`*.pth`).
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@@ -28,7 +26,7 @@ Based on the project specification (`project-spec.md`), set up the initial proje
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5. Create `pre-commit-config.yaml`. Configure `ruff` for formatting (`ruff format`) and linting (`ruff check --select I --fix` for import sorting, and `ruff check --fix` for general linting).
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5. Create `pre-commit-config.yaml`. Configure `ruff` for formatting (`ruff format`) and linting (`ruff check --select I --fix` for import sorting, and `ruff check --fix` for general linting).
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6. Create empty `__init__.py` files in `configs/`, `models/`, `utils/`, and `tests/`.
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6. Create empty `__init__.py` files in `configs/`, `models/`, `utils/`, and `tests/`.
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7. Create empty placeholder files: `train.py`, `test.py`, `configs/base_config.py`, `utils/data_utils.py`, `models/detection.py`, `tests/conftest.py`.
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7. Create empty placeholder files: `train.py`, `test.py`, `configs/base_config.py`, `utils/data_utils.py`, `models/detection.py`, `tests/conftest.py`.
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8. Create a basic `README.md` with the project title and a brief description based on `project-spec.md`.
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8. Create a basic `README.md` with the project title "Torchvision Vibecoding Project" and a brief description based on `project-spec.md`.
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9. Install pre-commit hooks (`pre-commit install`).
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9. Install pre-commit hooks (`pre-commit install`).
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```
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```
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pyproject.toml
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pyproject.toml
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[project]
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name = "torchvision-vibecoding-project"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"numpy>=2.2.4",
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"pillow>=11.1.0",
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"pytest>=8.3.5",
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"ruff>=0.11.5",
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"torch>=2.6.0",
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"torchvision>=0.21.0",
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]
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[tool.uv.sources]
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torch = [
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{ index = "pytorch-cu124", marker = "sys_platform == 'linux'" },
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]
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torchvision = [
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{ index = "pytorch-cu124", marker = "sys_platform == 'linux'" },
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]
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[[tool.uv.index]]
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name = "pytorch-cu124"
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url = "https://download.pytorch.org/whl/cu124"
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explicit = true
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[dependency-groups]
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dev = [
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"pre-commit>=4.2.0",
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]
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18
scripts/check_gpu.py
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scripts/check_gpu.py
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import torch
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if torch.cuda.is_available():
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print(f"CUDA is available. GPU: {torch.cuda.get_device_name(0)}")
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print(f"PyTorch CUDA version: {torch.version.cuda}")
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else:
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print("CUDA is not available. PyTorch is running on CPU.")
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# Check torchvision
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try:
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import torchvision
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print(f"Torchvision version: {torchvision.__version__}")
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# You might need specific torchvision ops to fully check GPU integration,
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# but successful import and version check is a good start.
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print("Torchvision imported successfully.")
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except ImportError:
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print("Torchvision could not be imported.")
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0
tests/__init__.py
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tests/__init__.py
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tests/conftest.py
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tests/conftest.py
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utils/__init__.py
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utils/__init__.py
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utils/data_utils.py
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utils/data_utils.py
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633
uv.lock
generated
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uv.lock
generated
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version = 1
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revision = 1
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requires-python = ">=3.12"
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resolution-markers = [
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"sys_platform == 'linux'",
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"sys_platform != 'linux'",
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]
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[[package]]
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name = "cfgv"
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version = "3.4.0"
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source = { registry = "https://pypi.org/simple" }
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||||||
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sdist = { url = "https://files.pythonhosted.org/packages/11/74/539e56497d9bd1d484fd863dd69cbbfa653cd2aa27abfe35653494d85e94/cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560", size = 7114 }
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wheels = [
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]
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[[package]]
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name = "colorama"
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version = "0.4.6"
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source = { registry = "https://pypi.org/simple" }
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[[package]]
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||||||
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name = "distlib"
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||||||
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||||||
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||||||
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[[package]]
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||||||
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||||||
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[[package]]
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||||||
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||||||
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[[package]]
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||||||
|
name = "identify"
|
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]
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||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "iniconfig"
|
||||||
|
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|
||||||
|
source = { registry = "https://pypi.org/simple" }
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||||||
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||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "jinja2"
|
||||||
|
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||||||
|
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{ name = "markupsafe" },
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]
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||||||
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[[package]]
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||||||
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||||||
|
[package.metadata]
|
||||||
|
requires-dist = [
|
||||||
|
{ name = "numpy", specifier = ">=2.2.4" },
|
||||||
|
{ name = "pillow", specifier = ">=11.1.0" },
|
||||||
|
{ name = "pytest", specifier = ">=8.3.5" },
|
||||||
|
{ name = "ruff", specifier = ">=0.11.5" },
|
||||||
|
{ name = "torch", marker = "sys_platform != 'linux'", specifier = ">=2.6.0" },
|
||||||
|
{ name = "torch", marker = "sys_platform == 'linux'", specifier = ">=2.6.0", index = "https://download.pytorch.org/whl/cu124" },
|
||||||
|
{ name = "torchvision", marker = "sys_platform != 'linux'", specifier = ">=0.21.0" },
|
||||||
|
{ name = "torchvision", marker = "sys_platform == 'linux'", specifier = ">=0.21.0", index = "https://download.pytorch.org/whl/cu124" },
|
||||||
|
]
|
||||||
|
|
||||||
|
[package.metadata.requires-dev]
|
||||||
|
dev = [{ name = "pre-commit", specifier = ">=4.2.0" }]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "triton"
|
||||||
|
version = "3.2.0"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/06/00/59500052cb1cf8cf5316be93598946bc451f14072c6ff256904428eaf03c/triton-3.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d9b215efc1c26fa7eefb9a157915c92d52e000d2bf83e5f69704047e63f125c", size = 253159365 },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/c7/30/37a3384d1e2e9320331baca41e835e90a3767303642c7a80d4510152cbcf/triton-3.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5dfa23ba84541d7c0a531dfce76d8bcd19159d50a4a8b14ad01e91734a5c1b0", size = 253154278 },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "typing-extensions"
|
||||||
|
version = "4.13.2"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
sdist = { url = "https://files.pythonhosted.org/packages/f6/37/23083fcd6e35492953e8d2aaaa68b860eb422b34627b13f2ce3eb6106061/typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef", size = 106967 }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/8b/54/b1ae86c0973cc6f0210b53d508ca3641fb6d0c56823f288d108bc7ab3cc8/typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c", size = 45806 },
|
||||||
|
]
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "virtualenv"
|
||||||
|
version = "20.30.0"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
dependencies = [
|
||||||
|
{ name = "distlib" },
|
||||||
|
{ name = "filelock" },
|
||||||
|
{ name = "platformdirs" },
|
||||||
|
]
|
||||||
|
sdist = { url = "https://files.pythonhosted.org/packages/38/e0/633e369b91bbc664df47dcb5454b6c7cf441e8f5b9d0c250ce9f0546401e/virtualenv-20.30.0.tar.gz", hash = "sha256:800863162bcaa5450a6e4d721049730e7f2dae07720e0902b0e4040bd6f9ada8", size = 4346945 }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/4c/ed/3cfeb48175f0671ec430ede81f628f9fb2b1084c9064ca67ebe8c0ed6a05/virtualenv-20.30.0-py3-none-any.whl", hash = "sha256:e34302959180fca3af42d1800df014b35019490b119eba981af27f2fa486e5d6", size = 4329461 },
|
||||||
|
]
|
||||||
Reference in New Issue
Block a user