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https://github.com/nod-ai/AMD-SHARK-Studio.git
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* Fix sharktank generation and add batch_size pytest option for torch. * Disable torch dynamo until py3.11 supported * Compile torchmodel without dynamo if torch.compile fails * Use release versions of TF/Keras for importer. * Pin torchvision and remove debug prints. * Remove duplicates from torch model list. * Update generate_sharktank.py * xfail a few models that fail sharktank generation/ numerics
79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
def pytest_addoption(parser):
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# Attaches SHARK command-line arguments to the pytest machinery.
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parser.addoption(
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"--benchmark",
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action="store_true",
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default="False",
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help="Pass option to benchmark and write results.csv",
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)
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parser.addoption(
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"--onnx_bench",
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action="store_true",
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default="False",
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help="Add ONNX benchmark results to pytest benchmarks.",
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)
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parser.addoption(
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"--tf32",
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action="store_true",
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default="False",
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help="Use TensorFloat-32 calculations.",
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)
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parser.addoption(
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"--save_repro",
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action="store_true",
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default="False",
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help="Pass option to save reproduction artifacts to SHARK/shark_tmp/test_case/",
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)
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parser.addoption(
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"--save_fails",
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action="store_true",
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default="False",
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help="Save reproduction artifacts for a test case only if it fails. Default is False.",
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)
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parser.addoption(
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"--ci",
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action="store_true",
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default="False",
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help="Enables uploading of reproduction artifacts upon test case failure during iree-compile or validation. Must be passed with --ci_sha option ",
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)
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parser.addoption(
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"--update_tank",
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action="store_true",
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default="False",
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help="Update local shark tank with latest artifacts.",
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)
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parser.addoption(
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"--ci_sha",
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action="store",
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default="None",
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help="Passes the github SHA of the CI workflow to include in google storage directory for reproduction artifacts.",
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)
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parser.addoption(
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"--local_tank_cache",
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action="store",
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default="",
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help="Specify the directory in which all downloaded shark_tank artifacts will be cached.",
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)
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parser.addoption(
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"--tank_url",
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type=str,
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default="gs://shark_tank/latest",
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help="URL to bucket from which to download SHARK tank artifacts. Default is gs://shark_tank/latest",
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)
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parser.addoption(
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"--benchmark_dispatches",
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default=None,
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help="Benchmark individual dispatch kernels produced by IREE compiler. Use 'All' for all, or specific dispatches e.g. '0 1 2 10'",
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)
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parser.addoption(
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"--dispatch_benchmarks_dir",
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default="./temp_dispatch_benchmarks",
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help="Directory in which dispatch benchmarks are saved.",
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)
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parser.addoption(
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"--batchsize",
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default=1,
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type=int,
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help="Batch size for the tested model.",
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)
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