mirror of
https://github.com/nod-ai/AMD-SHARK-Studio.git
synced 2026-02-19 11:56:43 -05:00
cec6eda6b4
* Optimize device enumeration overhead and log details on long operations. * Various fixes to add `@functools.cache` to what should be one time, expensive, device enumeration and setup activities. Cuts several seconds off of initialization on my machine. * Add detailed tracing to actual invocations if they exceed a certain timeout or have an exception. * Add detailed tracing to loading status. * By default detail logging is only printed if an operation takes an excessive amount of time. All logging/timing can be printed by setting the variable `$env:SHARK_DETAIL_TRACE = "1"` * Remove cache from unhashable functions
66 lines
2.0 KiB
Python
66 lines
2.0 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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# All the iree_cpu related functionalities go here.
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import functools
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import subprocess
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import platform
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from shark.parser import shark_args
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def get_cpu_count():
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import multiprocessing
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try:
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cpu_count = multiprocessing.cpu_count()
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return cpu_count
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except NotImplementedError:
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return None
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# Get the default cpu args.
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@functools.cache
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def get_iree_cpu_args():
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uname = platform.uname()
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os_name, proc_name = uname.system, uname.machine
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if os_name == "Darwin":
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kernel_version = uname.release
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target_triple = f"{proc_name}-apple-darwin{kernel_version}"
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elif os_name == "Linux":
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target_triple = f"{proc_name}-linux-gnu"
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elif os_name == "Windows":
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target_triple = "x86_64-pc-windows-msvc"
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else:
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error_message = f"OS Type f{os_name} not supported and triple can't be determined, open issue to dSHARK team please :)"
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raise Exception(error_message)
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print(f"Target triple found:{target_triple}")
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return [
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f"--iree-llvmcpu-target-triple={target_triple}",
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]
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# Get iree runtime flags for cpu
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@functools.cache
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def get_iree_cpu_rt_args():
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default = get_cpu_count()
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default = default if default <= 8 else default - 2
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cpu_count = (
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default
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if shark_args.task_topology_max_group_count is None
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else shark_args.task_topology_max_group_count
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)
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return [f"--task_topology_max_group_count={cpu_count}"]
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