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Add preprocess to ci
ghstack-source-id: 644f38e Pull Request resolved: #6544
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.github/workflows/_unittest.yml

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@@ -37,6 +37,9 @@ jobs:
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CMAKE_ARGS="-DEXECUTORCH_BUILD_XNNPACK=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON" \
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.ci/scripts/setup-linux.sh cmake
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# Install llama3_2_vision dependencies.
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bash examples/models/llama3_2_vision/install_requirements.sh
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# Run pytest with coverage
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pytest -n auto --cov=./ --cov-report=xml
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# Run gtest
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${CONDA_RUN} --no-capture-output \
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.ci/scripts/setup-macos.sh cmake
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# Install llama3_2_vision dependencies.
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bash examples/models/llama3_2_vision/install_requirements.sh
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# Run pytest with coverage
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${CONDA_RUN} pytest -n auto --cov=./ --cov-report=xml
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# Run gtest

examples/models/llama3_2_vision/install_requirements.sh

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@@ -10,4 +10,4 @@ pip install --pre torchtune --extra-index-url https://download.pytorch.org/whl/n
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# Install torchao.
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TORCHAO_VERSION=$(cat "$(dirname "$0")"/../../../.ci/docker/ci_commit_pins/torchao.txt)
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pip install --no-use-pep517 "git+https://github.com/pytorch/ao.git@${TORCHAO_VERSION}"
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pip install "git+https://github.com/pytorch/ao.git@${TORCHAO_VERSION}"

examples/models/llama3_2_vision/preprocess/model.py

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@@ -26,6 +26,9 @@ class PreprocessConfig:
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max_num_tiles: int = 4
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tile_size: int = 224
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antialias: bool = False
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# Used for reference eager model from torchtune.
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resize_to_max_canvas: bool = False
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possible_resolutions: Optional[List[Tuple[int, int]]] = None
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class CLIPImageTransformModel(EagerModelBase):

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