mirror of
https://github.com/nod-ai/AMD-SHARK-Studio.git
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9035a2eed3
* Add --local_tank_cache flag and update requirements. * Update requirements-importer.txt
97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
# Copyright 2020 The Nod Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import os
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def dir_path(path):
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if os.path.isdir(path):
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return path
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else:
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os.mkdir(path)
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return path
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def dir_file(path):
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if os.path.isfile(path):
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return path
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else:
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raise argparse.ArgumentTypeError(
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f"readable_file:{path} is not a valid file"
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)
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parser = argparse.ArgumentParser(description="SHARK runner.")
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parser.add_argument(
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"--device",
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type=str,
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default="cpu",
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help="Device on which shark_runner runs. options are cpu, cuda, and vulkan",
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)
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parser.add_argument(
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"--repro_dir",
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help="Directory to which module files will be saved for reproduction or debugging.",
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type=dir_path,
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default="./shark_tmp",
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)
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parser.add_argument(
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"--enable_tf32",
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type=bool,
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default=False,
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help="Enables TF32 precision calculations on supported GPUs.",
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)
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parser.add_argument(
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"--model_config_path",
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help="Directory to where the tuned model config file is located.",
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default=None,
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)
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parser.add_argument(
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"--num_warmup_iterations",
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type=int,
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default=5,
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help="Run the model for the specified number of warmup iterations.",
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)
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parser.add_argument(
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"--num_iterations",
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type=int,
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default=100,
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help="Run the model for the specified number of iterations.",
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)
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parser.add_argument(
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"--onnx_bench",
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default=False,
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action="store_true",
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help="When enabled, pytest bench results will include ONNX benchmark results.",
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)
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parser.add_argument(
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"--shark_prefix",
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default="latest",
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help="gs://shark_tank/<this_flag>/model_directories",
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)
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parser.add_argument(
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"--update_tank",
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default=False,
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action="store_true",
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help="When enabled, SHARK downloader will update local shark_tank if local hash is different from latest upstream hash.",
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)
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parser.add_argument(
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"--local_tank_cache",
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default="",
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help="Specify where to save downloaded shark_tank artifacts. If this is not set, the default is ~/.local/shark_tank/.",
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)
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shark_args, unknown = parser.parse_known_args()
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