| [project] | |
| name = "deit-tiny-int8-litert-runtime" | |
| version = "0.1.0" | |
| description = "Runtime dependencies for example.py (DeiT-Tiny INT8, LiteRT + XNNPACK)" | |
| requires-python = ">=3.14,<3.15" | |
| dependencies = [ | |
| "ai-edge-litert==2.2.0", | |
| "torch==2.13.0", | |
| "torchvision==0.28.0", | |
| "pillow==12.3.0", | |
| "numpy==2.5.2", | |
| ] | |
| [tool.uv] | |
| package = false | |
| [[tool.uv.index]] | |
| name = "pytorch-cpu" | |
| url = "https://download.pytorch.org/whl/cpu" | |
| explicit = true | |
| [tool.uv.sources] | |
| # The default PyPI aarch64 Linux wheel for torch links against CUDA | |
| # (aarch64 + CUDA is common on NVIDIA Grace/Jetson) and fails to import | |
| # without a CUDA runtime present. This target is a CPU-only Arm server | |
| # with no GPU, so pull the CPU-only build instead. | |
| torch = { index = "pytorch-cpu" } | |
| torchvision = { index = "pytorch-cpu" } | |
| [tool.ai-portal.deployment] | |
| schema-version = "1" | |
| runtime = "litert" | |
| required-capabilities = ["CPU"] | |
| [tool.ai-portal.deployment.ubuntu] | |
| packages = [] | |
| [tool.ai-portal.deployment.raspbian] | |
| packages = [] | |
| [tool.ai-portal.deployment.files] | |
| expected = ["predictions.json"] | |