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Update readme.md of shark_runner
Updated the readme.md of shark_runner and added setup.py for pip installation.
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requirements.txt
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requirements.txt
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-f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
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--pre
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numpy
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torch
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torchvision
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# Build requirements.
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pybind11
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wheel
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setup.py
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setup.py
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from setuptools import find_packages
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from setuptools import setup
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setup(
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name="shark",
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version="0.0.1",
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description="The Shark Runner provides inference and training APIs to run deep learning models on Shark Runtime.",
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author="Nod Labs",
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author_email="stdin@nod.com",
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url="https://github.com/NodLabs/dSHARK",
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packages=find_packages(exclude=('dSHARK','examples')),
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)
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@@ -4,19 +4,44 @@ The Shark Runner provides inference and training APIs to run deep learning model
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# How to configure.
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### Build [torch-mlir](https://github.com/llvm/torch-mlir) and [iree](https://github.com/google/iree) including [iree python bindings](https://google.github.io/iree/building-from-source/python-bindings-and-importers/#using-the-python-bindings)
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## Check out the code
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### Setup Python Environment
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```shell
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#Activate your virtual environment.
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export TORCH_MLIR_BUILD_DIR=/path/to/torch-mlir/build
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export IREE_BUILD_DIR=/path/to/iree-build
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source set_dep_pypaths.sh
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git clone https://github.com/NodLabs/dSHARK.git
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cd dSHARK
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```
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## Setup your Python VirtualEnvironment and Dependencies
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```shell
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python -m venv shark_venv
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source shark_venv/bin/activate
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# Some older pip installs may not be able to handle the recent PyTorch deps
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python -m pip install --upgrade pip
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# Install latest PyTorch nightlies and build requirements.
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python -m pip install -r requirements.txt
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```
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## Install dependent packages
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```shell
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# Install latest torch-mlir release.
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python -m pip install --find-links https://github.com/llvm/torch-mlir/releases torch-mlir
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# Install latest IREE release.
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python -m pip install --find-links https://github.com/google/iree/releases iree-compiler iree-runtime
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# Install functorch
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python -m pip install ninja
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python -m pip install "git+https://github.com/pytorch/functorch.git"
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# Install shark_runner from the current path.
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python -m pip install .
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```
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### Run a demo script
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```shell
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python resnet50.py
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cd shark_runner/examples/
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python resnet50_script.py
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```
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### Shark Inference API
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shark_runner/__init__.py
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shark_runner/__init__.py
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@@ -72,7 +72,7 @@ shark_module = SharkInference(Resnet50Module(), (img,))
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## Can pass any img or input to the forward module.
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results = shark_module.forward((img,))
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print("The top 3 results obtained via torch-mlir via iree-backend is:")
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print("The top 3 results obtained via shark_runner is:")
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print(top3_possibilities(torch.from_numpy(results)))
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print()
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echo "Don't forget to activate your venv before calling this script";
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export SCRIPTPATH=$(dirname "$(realpath BASH_SOURCE)");
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if [ -z ${TORCH_MLIR_BUILD_DIR+x} ]; then echo "TORCH_MLIR_BUILD_DIR is unset"; exit 1; else echo "TORCH_MLIR_BUILD_DIR is set to '$TORCH_MLIR_BUILD_DIR'"; fi
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if [ -z ${IREE_BUILD_DIR+x} ]; then echo "IREE_BUILD_DIR is unset"; exit 1; else echo "IREE_BUILD_DIR is set to '$IREE_BUILD_DIR'"; fi
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if [ -z ${SHARK_SAMPLES_DIR+x} ]; then echo "SHARK_SAMPLES_DIR is unset, using '$SCRIPTPATH'"; export SHARK_SAMPLES_DIR=$SCRIPTPATH; else echo "SHARK_SAMPLES_DIR is set to '$SHARK_SAMPLES_DIR'"; fi
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export PYTHONPATH=${PYTHONPATH}:${IREE_BUILD_DIR}/compiler-api/python_package:${IREE_BUILD_DIR}/bindings/python
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export PYTHONPATH=${PYTHONPATH}:${TORCH_MLIR_BUILD_DIR}/tools/torch-mlir/python_packages/torch_mlir:${TORCH_MLIR_BUILD_DIR}/../examples
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export PYTHONPATH=${PYTHONPATH}:${SHARK_SAMPLES_DIR}
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