mirror of
https://github.com/nod-ai/AMD-SHARK-Studio.git
synced 2026-04-03 03:00:17 -04:00
db5be15310
Centralized the shark_args parser. Also added the --device flag that specifies the device on which the inference or training is to be done.
50 lines
1.5 KiB
Python
50 lines
1.5 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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raise argparse.ArgumentTypeError(
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f"readable_dir:{path} is not a valid path")
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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, gpu, and vulkan")
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parser.add_argument(
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"--repro_dir",
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help=
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"Directory to which module files will be saved for reproduction or debugging.",
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type=dir_path,
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default="/tmp/")
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parser.add_argument(
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"--save_mlir",
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default=False,
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action="store_true",
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help="Saves input MLIR module to /tmp/ directory.")
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parser.add_argument(
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"--save_vmfb",
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default=False,
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action="store_true",
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help="Saves iree .vmfb module to /tmp/ directory.")
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shark_args = parser.parse_args()
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