更新昇腾分支算例
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# -*- coding: utf-8 -*-
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# @Author: sun
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# @Date: 2022-03-23 19:31:47
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# @Last Modified by: sun
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# @Last Modified time: 2022-03-23 19:32:05
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import sys
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import os
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import acl
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_ACL_DEBUG = 0
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_ACL_INFO = 1
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_ACL_WARNING = 2
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_ACL_ERROR = 3
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def log_error(*log_msg):
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"""Recode error level log to file
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Args:
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*log_msg: format string and args list
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"""
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log_str = [str(i) for i in log_msg]
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log_str = "".join(log_str)
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print(log_str)
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caller_frame = sys._getframe().f_back
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# caller file
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filename = caller_frame.f_code.co_filename
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# caller line no
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line_no = caller_frame.f_lineno
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# caller function
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func_name = caller_frame.f_code.co_name
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message = "[" + filename + ":" + str(line_no) + \
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" " + func_name + "]" + log_str
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acl.app_log(_ACL_ERROR, message)
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def log_warning(*log_msg):
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"""Recode warning level log to file
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Args:
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*log_msg: format string and args list
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"""
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log_str = [str(i) for i in log_msg]
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log_str = "[WARNING]"+"".join(log_str)
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print(log_str)
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caller_frame = sys._getframe().f_back
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# caller file
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filename = caller_frame.f_code.co_filename
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# caller line no
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line_no = caller_frame.f_lineno
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# caller function
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func_name = caller_frame.f_code.co_name
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message = "[" + filename + ":" + str(line_no) + \
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" " + func_name + "]" + log_str
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acl.app_log(_ACL_WARNING, message)
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def log_info(*log_msg):
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"""Recode info level log to file
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Args:
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*log_msg: format string and args list
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"""
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log_str = [str(i) for i in log_msg]
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log_str = "".join(log_str)
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print(log_str)
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caller_frame = sys._getframe().f_back
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# caller file
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filename = caller_frame.f_code.co_filename
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# caller line no
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line_no = caller_frame.f_lineno
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# caller function
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func_name = caller_frame.f_code.co_name
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message = "[" + filename + ":" + str(line_no) + \
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" " + func_name + "]" + log_str
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acl.app_log(_ACL_INFO, message)
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def log_debug(*log_msg):
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"""Recode debug level log to file
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Args:
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*log_msg: format string and args list
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"""
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log_str = [str(i) for i in log_msg]
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log_str = "".join(log_str)
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caller_frame = sys._getframe().f_back
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# caller file
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filename = caller_frame.f_code.co_filename
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# caller line no
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line_no = caller_frame.f_lineno
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# caller function
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func_name = caller_frame.f_code.co_name
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message = "[" + filename + ":" + str(line_no) + \
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" " + func_name + "]" + log_str
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acl.app_log(_ACL_DEBUG, message)
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# -*- coding: utf-8 -*-
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# @Author: sun
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# @Date: 2022-03-23 19:32:36
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# @Last Modified by: sun
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# @Last Modified time: 2022-03-23 19:32:51
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"""
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Copyright (R) @huawei.com, all rights reserved
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-*- coding:utf-8 -*-
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CREATED: 2021-01-20 20:12:13
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MODIFIED: 2021-02-03 14:04:45
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"""
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import threading
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import acl
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import acllite_utils as utils
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REGISTER = 0
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UNREGISTER = 1
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class _ResourceList(object):
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"""Acl resources of current application
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This class provide register inferace of acl resource, when application
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exit, all register resource will release befor acl.rt.reset_device to
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avoid program abnormal
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"""
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_instance_lock = threading.Lock()
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def __init__(self):
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self.resources = []
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def __new__(cls, *args, **kwargs):
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if not hasattr(_ResourceList, "_instance"):
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with _ResourceList._instance_lock:
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if not hasattr(_ResourceList, "_instance"):
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_ResourceList._instance = object.__new__(
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cls, *args, **kwargs)
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return _ResourceList._instance
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def register(self, resource):
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"""Resource register interface
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Args:
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resource: object with acl resource, the object must be has
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method destroy()
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"""
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item = {"resource": resource, "status": REGISTER}
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self.resources.append(item)
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def unregister(self, resource):
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"""Resource unregister interface
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If registered resource release by self and no need _ResourceList
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release, the resource object should unregister self
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Args:
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resource: registered resource
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"""
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for item in self.resources:
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if resource == item["resource"]:
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item["status"] = UNREGISTER
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def destroy(self):
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"""Destroy all register resource"""
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for item in self.resources:
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if item["status"] == REGISTER:
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item["resource"].destroy()
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item["status"] = UNREGISTER
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resource_list = _ResourceList()
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class AclLiteResource(object):
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"""
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AclLiteResource
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"""
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def __init__(self, device_id=0):
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self.device_id = device_id
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self.context = None
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self.stream = None
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self.run_mode = None
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def init(self):
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"""
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init resource
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"""
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print("init resource stage:")
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ret = acl.init()
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print(f"resource ret:{ret}")
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utils.check_ret("acl.init", ret)
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ret = acl.rt.set_device(self.device_id)
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utils.check_ret("acl.rt.set_device", ret)
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self.context, ret = acl.rt.create_context(self.device_id)
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utils.check_ret("acl.rt.create_context", ret)
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self.stream, ret = acl.rt.create_stream()
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utils.check_ret("acl.rt.create_stream", ret)
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self.run_mode, ret = acl.rt.get_run_mode()
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utils.check_ret("acl.rt.get_run_mode", ret)
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print("Init resource success")
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def __del__(self):
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print("acl resource release all resource")
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resource_list.destroy()
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if self.stream:
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print("acl resource release stream")
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acl.rt.destroy_stream(self.stream)
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if self.context:
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print("acl resource release context")
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acl.rt.destroy_context(self.context)
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print("Reset acl device ", self.device_id)
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acl.rt.reset_device(self.device_id)
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acl.finalize()
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print("Release acl resource success")
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# -*- coding: utf-8 -*-
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# @Author: sun
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# @Date: 2022-03-23 19:31:05
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# @Last Modified by: sun
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# @Last Modified time: 2022-03-23 19:31:26
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import numpy as np
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import acl
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import constants as const
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from acllite_logger import log_error, log_info
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import time
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from functools import wraps
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DEBUG = True
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def check_ret(message, ret_int):
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"""Check int value is 0 or not
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Args:
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message: output log str
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ret_int: check value that type is int
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"""
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if ret_int != 0:
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raise Exception("{} failed ret_int={}"
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.format(message, ret_int))
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def check_none(message, ret_none):
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"""Check object is None or not
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Args:
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message: output log str
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ret_none: check object
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"""
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if ret_none is None:
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raise Exception("{} failed"
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.format(message))
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def copy_data_device_to_host(device_data, data_size):
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"""Copy device data to host
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Args:
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device_data: data that to be copyed
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data_size: data size
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Returns:
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None: copy failed
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others: host data which copy from device_data
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"""
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host_buffer, ret = acl.rt.malloc_host(data_size)
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if ret != const.ACL_SUCCESS:
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log_error("Malloc host memory failed, error: ", ret)
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return None
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ret = acl.rt.memcpy(host_buffer, data_size,
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device_data, data_size,
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const.ACL_MEMCPY_DEVICE_TO_HOST)
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if ret != const.ACL_SUCCESS:
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log_error("Copy device data to host memory failed, error: ", ret)
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acl.rt.free_host(host_buffer)
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return None
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return host_buffer
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def copy_data_device_to_device(device_data, data_size):
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"""Copy device data to device
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Args:
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device_data: data that to be copyed
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data_size: data size
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Returns:
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None: copy failed
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others: device data which copy from device_data
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"""
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device_buffer, ret = acl.rt.malloc(data_size,
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const.ACL_MEM_MALLOC_NORMAL_ONLY)
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if ret != const.ACL_SUCCESS:
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log_error("Malloc device memory failed, error: ", ret)
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return None
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ret = acl.rt.memcpy(device_buffer, data_size,
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device_data, data_size,
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const.ACL_MEMCPY_DEVICE_TO_DEVICE)
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if ret != const.ACL_SUCCESS:
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log_error("Copy device data to device memory failed, error: ", ret)
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acl.rt.free(device_buffer)
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return None
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return device_buffer
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def copy_data_host_to_device(host_data, data_size):
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"""Copy host data to device
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Args:
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host_data: data that to be copyed
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data_size: data size
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Returns:
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None: copy failed
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others: device data which copy from host_data
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"""
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device_buffer, ret = acl.rt.malloc(data_size,
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const.ACL_MEM_MALLOC_NORMAL_ONLY)
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if ret != const.ACL_SUCCESS:
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log_error("Malloc device memory failed, error: ", ret)
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return None
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ret = acl.rt.memcpy(device_buffer, data_size,
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host_data, data_size,
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const.ACL_MEMCPY_HOST_TO_DEVICE)
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if ret != const.ACL_SUCCESS:
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log_error("Copy device data to device memory failed, error: ", ret)
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acl.rt.free(device_buffer)
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return None
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return device_buffer
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def copy_data_host_to_host(host_data, data_size):
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"""Copy host data to host
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Args:
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host_data: data that to be copyed
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data_size: data size
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Returns:
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None: copy failed
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others: host data which copy from host_data
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"""
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host_buffer, ret = acl.rt.malloc_host(data_size)
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if ret != const.ACL_SUCCESS:
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log_error("Malloc host memory failed, error: ", ret)
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return None
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ret = acl.rt.memcpy(host_buffer, data_size,
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host_data, data_size,
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const.ACL_MEMCPY_HOST_TO_HOST)
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if ret != const.ACL_SUCCESS:
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log_error("Copy host data to host memory failed, error: ", ret)
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acl.rt.free_host(host_buffer)
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return None
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return host_buffer
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def copy_data_to_dvpp(data, size, run_mode):
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"""Copy data to dvpp
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Args:
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data: data that to be copyed
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data_size: data size
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run_mode: device run mode
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Returns:
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None: copy failed
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others: data which copy from host_data
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"""
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policy = const.ACL_MEMCPY_HOST_TO_DEVICE
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if run_mode == const.ACL_DEVICE:
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policy = const.ACL_MEMCPY_DEVICE_TO_DEVICE
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dvpp_buf, ret = acl.media.dvpp_malloc(size)
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check_ret("acl.rt.malloc_host", ret)
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ret = acl.rt.memcpy(dvpp_buf, size, data, size, policy)
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check_ret("acl.rt.memcpy", ret)
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return dvpp_buf
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def copy_data_as_numpy(data, size, data_mem_type, run_mode):
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"""Copy data as numpy array
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Args:
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data: data that to be copyed
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size: data size
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data_mem_type: src data memory type
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run_mode: device run mode
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Returns:
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None: copy failed
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others: numpy array whoes data copy from host_data
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"""
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np_data = np.zeros(size, dtype=np.byte)
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np_data_ptr = acl.util.numpy_to_ptr(np_data)
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policy = const.ACL_MEMCPY_DEVICE_TO_DEVICE
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if run_mode == const.ACL_HOST:
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if ((data_mem_type == const.MEMORY_DEVICE) or
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(data_mem_type == const.MEMORY_DVPP)):
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policy = const.ACL_MEMCPY_DEVICE_TO_HOST
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elif data_mem_type == const.MEMORY_HOST:
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policy = const.ACL_MEMCPY_HOST_TO_HOST
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ret = acl.rt.memcpy(np_data_ptr, size, data, size, policy)
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check_ret("acl.rt.memcpy", ret)
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return np_data
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def align_up(value, align):
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|
"""Align up int value
|
||||||
|
Args:
|
||||||
|
value:input data
|
||||||
|
align: align data
|
||||||
|
Return:
|
||||||
|
aligned data
|
||||||
|
"""
|
||||||
|
return int(int((value + align - 1) / align) * align)
|
||||||
|
|
||||||
|
def align_up16(value):
|
||||||
|
"""Align up data with 16
|
||||||
|
Args:
|
||||||
|
value:input data
|
||||||
|
Returns:
|
||||||
|
16 aligned data
|
||||||
|
"""
|
||||||
|
return align_up(value, 16)
|
||||||
|
|
||||||
|
def align_up128(value):
|
||||||
|
"""Align up data with 128
|
||||||
|
Args:
|
||||||
|
value:input data
|
||||||
|
Returns:
|
||||||
|
128 aligned data
|
||||||
|
"""
|
||||||
|
return align_up(value, 128)
|
||||||
|
|
||||||
|
def align_up2(value):
|
||||||
|
"""Align up data with 2
|
||||||
|
Args:
|
||||||
|
value:input data
|
||||||
|
Returns:
|
||||||
|
2 aligned data
|
||||||
|
"""
|
||||||
|
return align_up(value, 2)
|
||||||
|
|
||||||
|
def yuv420sp_size(width, height):
|
||||||
|
"""Calculate yuv420sp image size
|
||||||
|
Args:
|
||||||
|
width: image width
|
||||||
|
height: image height
|
||||||
|
Returns:
|
||||||
|
image data size
|
||||||
|
"""
|
||||||
|
return int(width * height * 3 / 2)
|
||||||
|
|
||||||
|
def rgbu8_size(width, height):
|
||||||
|
"""Calculate rgb 24bit image size
|
||||||
|
Args:
|
||||||
|
width: image width
|
||||||
|
height: image height
|
||||||
|
Returns:
|
||||||
|
rgb 24bit image data size
|
||||||
|
"""
|
||||||
|
return int(width * height * 3)
|
||||||
|
|
||||||
|
def display_time(func):
|
||||||
|
"""print func execute time"""
|
||||||
|
@wraps(func)
|
||||||
|
def wrapper(*args, **kwargs):
|
||||||
|
"""wrapper caller"""
|
||||||
|
if DEBUG:
|
||||||
|
btime = time.time()
|
||||||
|
res = func(*args, **kwargs)
|
||||||
|
use_time = time.time() - btime
|
||||||
|
print("in %s, use time:%s" % (func.__name__, use_time))
|
||||||
|
return res
|
||||||
|
else:
|
||||||
|
return func(*args, **kwargs)
|
||||||
|
return wrapper
|
||||||
|
|
@ -0,0 +1,697 @@
|
||||||
|
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|
||||||
|
// PPPPP H H EEEEE N N GGGGG L EEEEE III +
|
||||||
|
// P P H H E NN N G L E I +
|
||||||
|
// PPPPP HHHHH EEEEE N N N G GG L EEEEE I +
|
||||||
|
// P H H E N N N G G L E I +
|
||||||
|
// P H H EEEEE N N GGGGG LLLLL EEEEE III +
|
||||||
|
//------------------------------------------------------------------------+
|
||||||
|
// Platform for Hybrid Engineering Simulation of Flows +
|
||||||
|
// China Aerodynamics Research and Development Center +
|
||||||
|
// (C) Copyright, Since 2010 +
|
||||||
|
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
|
||||||
|
#########################################################################
|
||||||
|
# Default parameters for Grid conversion #
|
||||||
|
#########################################################################
|
||||||
|
// gridtype: Grid type for generation, conversion, reconstruction, merging.
|
||||||
|
// 0 -- Unstructured grid.
|
||||||
|
// 1 -- Structured grid.
|
||||||
|
// 2 -- Hybrid grid, include both of unstructured and structured grid.
|
||||||
|
// gridobj: Task type of grid treatment.
|
||||||
|
// 0 -- Grid generation of typical case, such as cylinder, flat plate, etc.
|
||||||
|
// 1 -- Grid conversion, from other grid data to PHenglEI( HyperFLOW ), such as Fluent, CGNS.
|
||||||
|
// 2 -- Grid refinement.
|
||||||
|
// 3 -- Grid merging, merge two blocks into one block.
|
||||||
|
// 5 -- Grid repairing, repair the original grid in order to remove the negative volume cells.
|
||||||
|
// 6 -- Grid mirroring, mirror a symmetry grid to whole grid.
|
||||||
|
// multiblock: Multi-block grid or not, only for structured grid conversion.
|
||||||
|
// 0 -- Not.
|
||||||
|
// 1 -- Yes.
|
||||||
|
// grid_database_index: Case of typical case, only for gridobj=0.
|
||||||
|
// 1 - Laminar flat plate of subsonic flow.
|
||||||
|
// 2 - Laminar flat plate of supersonic flow.
|
||||||
|
// 3 - Turbulent flat plate of subsonic flow.
|
||||||
|
// 4 - Turbulent flat plate of supersonic flow.
|
||||||
|
// iadapt: Adaptation number for unstructure grid.
|
||||||
|
// iovrlap: Overlapping( overset ) grid or not.
|
||||||
|
// 0 -- NON-overlapping grid.
|
||||||
|
// 1 -- Overlapping grid.
|
||||||
|
// SymmetryFaceVector: The vector of symmetry face.
|
||||||
|
// 0 -- X axis.
|
||||||
|
// 1 -- Y axis.
|
||||||
|
// 2 -- Z axis.
|
||||||
|
int gridtype = 0;
|
||||||
|
int gridobj = 1;
|
||||||
|
int multiblock = 1;
|
||||||
|
int grid_database_index = 3;
|
||||||
|
int iadapt = 0;
|
||||||
|
int iovrlap = 0;
|
||||||
|
int SymmetryFaceVector = 1;
|
||||||
|
|
||||||
|
// axisup: Type of Cartisien coordinates system, used in grid conversion.
|
||||||
|
// 1 -- Y upward. (default)
|
||||||
|
// 2 -- Z upward.
|
||||||
|
int axisup = 1;
|
||||||
|
|
||||||
|
// omit_no_bound_bc: What's boundary condition for the type of "no_boundary_condition".
|
||||||
|
// 0 -- Interface. (default)
|
||||||
|
// 1 -- Physical boundary condition, used in Hybrid solver.
|
||||||
|
int omit_no_bound_bc = 0;
|
||||||
|
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
# Grid data type #
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
// from_gtype/to_gtype: Type of grid data type in grid conversion process.
|
||||||
|
// -1 -- MULTI_TYPE
|
||||||
|
// 1 -- HyperFLOW( PHengLEI ), *.fts.
|
||||||
|
// 2 -- CGNS, *.cgns.
|
||||||
|
// 3 -- Plot3D type of structured grid, *.dat/*.grd.
|
||||||
|
// 4 -- Fieldview type of unstructured grid, *.dat/*.inp.
|
||||||
|
// 5 -- Fluent, *.cas/*.msh.
|
||||||
|
// 6 -- Ustar, mgrid.in.
|
||||||
|
// 7 -- Hybrid, include both of unstructured and structured grid, *.fts.
|
||||||
|
// 8 -- GMSH, *.msh.
|
||||||
|
int from_gtype = 2;
|
||||||
|
int to_gtype = 1;
|
||||||
|
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
# File path #
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
// from_gfile: path of original data file for unstructure grid convert from.
|
||||||
|
// out_gfile: path of target file for grid convert to, *.fts type of file usually.
|
||||||
|
string from_gfile = "./grid/rae2822_hybrid2d.cas";
|
||||||
|
string out_gfile = "./grid/flat_laminr_133_85_2d.fts";
|
||||||
|
|
||||||
|
// ---------------- some advanced choices -----------------------------
|
||||||
|
// iunsteady: The Grid is for unsteady simulation or not.
|
||||||
|
int iunsteady = 0;
|
||||||
|
int iale = 0;
|
||||||
|
|
||||||
|
// fileformat : Ustar Grid file format.
|
||||||
|
// 0 --- ASCII
|
||||||
|
// 1 --- BINARY
|
||||||
|
int fileformat = 0;
|
||||||
|
|
||||||
|
// .skl meaning skeleton.
|
||||||
|
string original_grid_info_file = "./grid/FLUENT_test.skl";
|
||||||
|
|
||||||
|
// Parameters for hybrid solver.
|
||||||
|
string mixgrid_uns = "./grid/rae2822_uns2d_4.fts";
|
||||||
|
string mixgrid_str = "./grid/flat_laminr_133_85_2d.fts";
|
||||||
|
string mixgrid_str_bc = "./grid/flat_laminr_133_85_2d.inp";
|
||||||
|
|
||||||
|
// Some parameters for structured overlapping grid of GuoYongHeng start.
|
||||||
|
int codeOfDigHoles = 1;
|
||||||
|
string holeBasicFileName = "./oversetGridView/holeBasicFile.inp";
|
||||||
|
string holeFullFileName = "./oversetGridView/holeFullFile.dat";
|
||||||
|
string linkFileName = "./oversetGridView/topology.dat";
|
||||||
|
string zoneInverseFileName = "./oversetGridView/zoneInverseMapping.inp";
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
# Default parameters for Partition #
|
||||||
|
#########################################################################
|
||||||
|
// pgridtype: The grid type.
|
||||||
|
// 0 -- unstruct grid
|
||||||
|
// 1 -- struct grid
|
||||||
|
// 2 -- refine structured grid.
|
||||||
|
// maxproc: The number of partition zones that want to be divided into.
|
||||||
|
int pgridtype = 0;
|
||||||
|
int maxproc = 4;
|
||||||
|
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
# File path #
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
// original_grid_file : original grid file that want to be divided(HyperFLOW/PHengLEI type, *.fts).
|
||||||
|
// partition_grid_file : target partition grid file(HyperFLOW/PHengLEI type, *.fts).
|
||||||
|
string original_grid_file = "./grid/rae2822_hybrid2d.fts";
|
||||||
|
string partition_grid_file = "./grid/rae2822_hybrid2d__4.fts";
|
||||||
|
|
||||||
|
// ------------------ Sompe advanced parameters ------------------------
|
||||||
|
// omit_no_bound_bc: What's boundary condition for the type of "no_boundary_condition".
|
||||||
|
// 0 -- Interface. (default)
|
||||||
|
// 1 -- Physical boundary condition, used in Hybrid solver.
|
||||||
|
// npartmethod: Method of interface reconstruction, default 1.
|
||||||
|
// parallelPartMethod: Method of parallel partition, this is set only when execute parallel partition.It would be skipped when serial partition.
|
||||||
|
// 1 -- Using ParMetis for homogeneous MPI.
|
||||||
|
// 2 -- Using Metis for homogeneous MPI.
|
||||||
|
// 3 -- using METIS partition for homogeneous OpenMP.
|
||||||
|
// parmetisBalance: is used to specify the imbalance tolerance.
|
||||||
|
// 1 -- perfect balance;
|
||||||
|
// maxproc -- perfect imbalance;
|
||||||
|
// 1.05 -- recommended.
|
||||||
|
|
||||||
|
int omit_no_bound_bc = 0;
|
||||||
|
int npartmethod = 1;
|
||||||
|
int parallelPartitionMethod = 2;
|
||||||
|
double parmetisBalance = 1.05;
|
||||||
|
|
||||||
|
// Number of multi-grid levels, ONLY used for structured grid.
|
||||||
|
// 1 -- single level, 2 -- 2 level, N -- N level, ..., et all.
|
||||||
|
int numberOfMultigrid = 1;
|
||||||
|
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
# Default parameters for CFD simulation #
|
||||||
|
#########################################################################
|
||||||
|
// maxsimustep: the max simulation step, don't care simulation is restart or not.
|
||||||
|
// ndisk: the step intervals for 'flow.dat ' saved.
|
||||||
|
// nplotsave: the step intervals for 'tecflow.dat ' saved.
|
||||||
|
// nforcsave: the step intervals for 'aircoef.dat ' saved.
|
||||||
|
// nressave: the step intervals for 'res.dat ' saved.
|
||||||
|
// precon: precondition process to accelerate convergence for low speed flow.
|
||||||
|
// 0 -- no precondition process. (default)
|
||||||
|
// 1 -- carry out precondition process.
|
||||||
|
|
||||||
|
int ndisk = 1000;
|
||||||
|
int maxsimustep = 20000;
|
||||||
|
|
||||||
|
int nplotsave = 1000;
|
||||||
|
int nforcsave = 100;
|
||||||
|
int nressave = 10;
|
||||||
|
int precon = 0;
|
||||||
|
|
||||||
|
// m_block_proc: Method of grid zone distribution among different processors.
|
||||||
|
// 0 -- Each zone is distributed by grid partition. (default)
|
||||||
|
// 1 -- Each zone is distributed randomly.
|
||||||
|
//compressible: 0 for incompressible flow, 1 for compressible flow (default).
|
||||||
|
|
||||||
|
int compressible = 1;
|
||||||
|
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
# CFD Control Parameter #
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
// attackd: Angle of attack.
|
||||||
|
// sideslipd: Angle of yaw.
|
||||||
|
// reference_mach_number: Mach number.
|
||||||
|
// reynolds: Reynolds number, which is based unit length, unit of 1/m.
|
||||||
|
// reference_temperature_dimensional: dimensional reference temperature, or the total temperature only for the experiment condition.
|
||||||
|
// reference_pressure_dimensional: dimensional reference pressure , or the total pressure only for the experiment condition.
|
||||||
|
// height: Fly height, unit of km.
|
||||||
|
// inflowParaType: the type of inflow parameters.
|
||||||
|
// 0 - the nondimensional conditions.
|
||||||
|
// 1 - the flight conditions.
|
||||||
|
// 2 - the experiment conditions.
|
||||||
|
// 3 - the subsonic boundary conditions.
|
||||||
|
// twall: Temprature of the solid wall, minus value is for adiabatic boundary condition.
|
||||||
|
// dump_Q: Dump out thermal flux Q of solid wall.
|
||||||
|
// 0 - no dump out.
|
||||||
|
// 1 - dump out wall Q only.
|
||||||
|
// 2 - dump out wall Q & the typical position Q of ball.
|
||||||
|
// 3 - dump out wall Q & the typical position Q of cone.
|
||||||
|
// 4 - dump out wall Q & the typical position Q of double sphere.
|
||||||
|
// Qstag: The Q of the stagnation point, calculated by Fay-Riddle formula.
|
||||||
|
// gridUnit: The unit of the grid.
|
||||||
|
// 0 - meter.
|
||||||
|
// 1 - decimeter, 1 dm = 0.1 m.
|
||||||
|
// 2 - centimeter, 1 cm = 0.01 m.
|
||||||
|
// 3 - millimeter, 1 mm = 0.001m.
|
||||||
|
// 4 - inch, 1 inch = 0.0254m.
|
||||||
|
// 5 - foot, 1 foot = 12 inches = 0.3048m.
|
||||||
|
// 6 - yard, 1 yard = 3 feet = 0.9144m.
|
||||||
|
// forceRefenenceLength, forceRefenenceArea: Reference length and area, independent of grid unit.
|
||||||
|
// forceRefenenceX, forceRefenenceY, forceRefenenceZ: Reference point, independent of grid unit.
|
||||||
|
|
||||||
|
double reference_mach_number = 0.73;
|
||||||
|
double attackd = 2.79;
|
||||||
|
double sideslipd = 0.00;
|
||||||
|
|
||||||
|
int inflowParaType = 0;
|
||||||
|
double reynolds = 6.5e6;
|
||||||
|
double reference_temperature_dimensional = 288.15;
|
||||||
|
|
||||||
|
//int inflowParaType = 1;
|
||||||
|
//double height = 0.001;
|
||||||
|
|
||||||
|
//int inflowParaType = 2;
|
||||||
|
//double reference_temperature_dimensional = 6051.024; //the total temperature, T*(1+(gama0-1)*M*M/2).
|
||||||
|
//double reference_pressure_dimensional = 4.299696E09; //the total pressure, p*(T0/T)^(gama0/(gama0-1)).
|
||||||
|
|
||||||
|
//int inflowParaType = 3;
|
||||||
|
//int nsubsonicInlet = 1;
|
||||||
|
//int nsubsonicOutlet = 1;
|
||||||
|
//string inLetFileName = "./bin/subsonicInlet.hypara";
|
||||||
|
//string outLetFileName = "./bin/subsonicOutlet.hypara";
|
||||||
|
//double reference_temperature_dimensional = 288.144;
|
||||||
|
//double reference_pressure_dimensional = 1.01313E05;
|
||||||
|
|
||||||
|
|
||||||
|
double twall = -1.0 ;
|
||||||
|
int dump_Q = 0;
|
||||||
|
double Qstag = 1.825e-3;
|
||||||
|
|
||||||
|
int gridUnit = 0;
|
||||||
|
|
||||||
|
double forceRefenenceLength = 1.0;
|
||||||
|
double forceRefenenceLengthSpanWise = 1.0;
|
||||||
|
double forceRefenenceArea = 1.0;
|
||||||
|
double forceRefenenceX = 0.0;
|
||||||
|
double forceRefenenceY = 0.0;
|
||||||
|
double forceRefenenceZ = 0.0;
|
||||||
|
|
||||||
|
int directionMethod = 2; // 1 -- using direciton; 2 -- using face normal.
|
||||||
|
double totalP_inlet = 1.2e6;
|
||||||
|
double totalT_inlet = 1300;
|
||||||
|
double direction_inlet[3] = 1, 0, 0;
|
||||||
|
|
||||||
|
double totalP_outlet = 17.8571428;
|
||||||
|
double totalT_outlet = 1.0;
|
||||||
|
double direction_outlet[3] = 1, 0, 0;
|
||||||
|
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
# Spatial Discretisation #
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
#*******************************************************************
|
||||||
|
# Struct Solver *
|
||||||
|
#*******************************************************************
|
||||||
|
// str_scheme_name: Spatial discretisation scheme of struct grid
|
||||||
|
// Using this when solve structered grid or hybrid.
|
||||||
|
// - "vanleer", "steger", "hlle", "lax_f"
|
||||||
|
// - "roe","modified_roe"
|
||||||
|
// - "ausm+", "ausm+w", "ausm+up", "ausmdv", "ausmpw"
|
||||||
|
// str_limiter_name: Limiter of struct grid
|
||||||
|
// - "vanalbada", "vanleer", "minmod", "smooth" "minvan" "3rdsmooth" "3rd_minmod_smooth"
|
||||||
|
// - "nolim" - no limiter
|
||||||
|
// - "vanalbada_clz" clz supersonic version
|
||||||
|
string str_scheme_name = "roe";
|
||||||
|
string str_limiter_name = "vanalbada";
|
||||||
|
|
||||||
|
#*******************************************************************
|
||||||
|
# UnStruct Solver or Common *
|
||||||
|
#*******************************************************************
|
||||||
|
// iviscous: Viscous model
|
||||||
|
// 0 - Euler
|
||||||
|
// 1 - Lamilar
|
||||||
|
// 2 - Algebraic
|
||||||
|
// 3 - 1eq turbulent
|
||||||
|
// 4 - 2eq turbulent
|
||||||
|
// visname : Laminar or tubulent model
|
||||||
|
// - "0eq-bl"
|
||||||
|
// - "1eq-sa"
|
||||||
|
// - "2eq-kw-menter-sst"
|
||||||
|
// - "2eq-kw-menter-bsl"
|
||||||
|
// - "2eq-kw-wilcox-1988"
|
||||||
|
// - "2eq-kw-wilcox-1998"
|
||||||
|
// - "2eq-kw-kok-tnt"
|
||||||
|
// - "2eq-kw-wilcox-2006"
|
||||||
|
// - "easm-kw-2003"
|
||||||
|
// - "easm-kw-2005"
|
||||||
|
// codeofDES : Type of DES
|
||||||
|
// 0 - RANS (default);
|
||||||
|
// 1 - DES;
|
||||||
|
// 2 - DDES;
|
||||||
|
// 3 - IDDES;
|
||||||
|
// uns_scheme_name: Spatial discretisation scheme of Unstruct grid
|
||||||
|
// Using this when solve Unstructered grid or hybrid.
|
||||||
|
// - "vanleer", "roe", "steger", "kfvs", "lax_f", "hlle"
|
||||||
|
// - "ausm+", "ausmdv", "ausm+w", "ausmpw", "ausmpwplus"
|
||||||
|
// uns_limiter_name: Limiter of Unstruct grid
|
||||||
|
// - "barth", "vencat", "vanleer", "minmod"
|
||||||
|
// - "vanalbada", "smooth", "nnd", "lpz", "1st",
|
||||||
|
// - "nolim" - no limiter
|
||||||
|
// uns_vis_name: Discretisation method of viscous term.
|
||||||
|
// - "std", "test", "aver", "new1", "new2"
|
||||||
|
// uns_gradient: Gradient reconstruction method
|
||||||
|
// - "default", "ggcell", "ggnode", "lsq"
|
||||||
|
// ivencat: Variation of vencat limiter
|
||||||
|
// 0 - org method, it is independent of grid scale
|
||||||
|
// 1 - new method, it is dependent of grid scale
|
||||||
|
// 4 - Ustar limiter model, without grid size unitary.
|
||||||
|
// 7 - default used.
|
||||||
|
// eps_vencat: Cofficient of vencat, when using vencat limter
|
||||||
|
// limit_mode: limit model.
|
||||||
|
// 0 - limit only for pressure and denstiny, then get the min value
|
||||||
|
// 1 - limit for every variables, then get the min value
|
||||||
|
// limiter_vec:
|
||||||
|
// 0 - Each variable use the same limiter coefficient.
|
||||||
|
// 1 - Each variable use the respective limiter coefficients.
|
||||||
|
// reconmeth:
|
||||||
|
// 0 - When reconstruct face value, Q+, Q- use respective limiter coefficients.
|
||||||
|
// 1 - Q+, Q- use the min limiter coefficients of left and right cell.
|
||||||
|
// nentrfix: Entropy fix.
|
||||||
|
// 1 - common entropy fix.
|
||||||
|
// 2 - Harte's method, to be continued.
|
||||||
|
// 3 - Method in ZYB 's Doctor thesis, to be continued.
|
||||||
|
// 4 - Method in Ustar.
|
||||||
|
// alf_l, alf_n: Entropy fix cofficient for Roe scheme.
|
||||||
|
|
||||||
|
//int iviscous = 0;
|
||||||
|
//string visname = "Euler";
|
||||||
|
|
||||||
|
//int iviscous = 1;
|
||||||
|
//string visname = "laminar";
|
||||||
|
|
||||||
|
int iviscous = 3;
|
||||||
|
string visname = "1eq-sa";
|
||||||
|
|
||||||
|
//int iviscous = 4;
|
||||||
|
//string visname = "2eq-kw-menter-sst";
|
||||||
|
|
||||||
|
int codeofDES = 0;
|
||||||
|
|
||||||
|
string uns_scheme_name = "roe";
|
||||||
|
string uns_limiter_name = "vencat";
|
||||||
|
string uns_vis_name = "test";
|
||||||
|
string uns_gradient_name = "ggnode";
|
||||||
|
|
||||||
|
int ivencat = 7;
|
||||||
|
double eps_vencat = 5.0;
|
||||||
|
int reconmeth = 1;
|
||||||
|
int limit_mode = 0;
|
||||||
|
int limiter_vec = 0;
|
||||||
|
double limit_angle = 0;
|
||||||
|
double skewnessAngle = 60.0;
|
||||||
|
|
||||||
|
int nentrfix = 1;
|
||||||
|
double alf_l = 0.0001;
|
||||||
|
double alf_n = 0.0001;
|
||||||
|
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
# Temporal Discretisation #
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
// iunsteady: Steady or unsteady.
|
||||||
|
// 0 - steady
|
||||||
|
// 1 - unsteay
|
||||||
|
// physicalTimeStep: the nondimensional physical time step.
|
||||||
|
// startFromSteady: the unsteady simulation is start from steady flowfield or not, 0 is for no and else is for yes.
|
||||||
|
// statisticsDES: Statistical variables for DES simulation.
|
||||||
|
// startStatisticStep: Outer step when start statistics.
|
||||||
|
// when the value is larger than "maxsimustep", it is useless.
|
||||||
|
// min_sub_iter: the min sub iteration of unsteady simulation.
|
||||||
|
// max_sub_iter: the max sub iteration of unsteady simulation.
|
||||||
|
// tol_sub_iter: the tolerance of sub iteration of unsteady simulation.
|
||||||
|
// tscheme: Temporal Discretisation method
|
||||||
|
// 1 - Runge-Kutta Multi-State
|
||||||
|
// 2 - Point implicit
|
||||||
|
// 3 - Full implicit
|
||||||
|
// 4 - LU-SGS
|
||||||
|
// 5 - Block LU-SGS
|
||||||
|
// 6 - Jacobian iteration
|
||||||
|
// 7 - Lower G-S iteration
|
||||||
|
// 8 - Upper G-S iteration
|
||||||
|
// 9 - Lower/Upper G-S iteration
|
||||||
|
// iSimplifyViscousTerm: Simplify the computation of viscous term in the Block LU-SGS method. The default value assigns 1 that could speed up the computation.
|
||||||
|
// Otherwise, the viscous Jacobian matrix Mv should be computed that will increase the memory and time in iteration of the BLUSGS method.
|
||||||
|
// cfl_start: Started cfl
|
||||||
|
// cfl_end: End cfl
|
||||||
|
// cfl_nstep: The number of step when cfl increase from cfl_start to cfl_end
|
||||||
|
// ktmax: Dtratio. dt[i] = MIN( dt[i], ktmax * dtmin / vol[i] )
|
||||||
|
// swapDq: Communication dq between forward/backward sweep of LUSGS or not, default 0.
|
||||||
|
// sweeps: Sub iteration of LU-SGS or Block LU-SGS.
|
||||||
|
// epsilon: Sub iter tolerance of LU-SGS or Block LU-SGS.
|
||||||
|
// ntmst: Time step method
|
||||||
|
// 0 - Local
|
||||||
|
// 1 - Gloable
|
||||||
|
// n_state: The number of Runge-Kutta step
|
||||||
|
// lamda: Cofficient of Runge-Kutta step
|
||||||
|
|
||||||
|
int iunsteady = 0;
|
||||||
|
double physicalTimeStep = 0.01;
|
||||||
|
int startFromSteady = 0;
|
||||||
|
int statisticsDES = 0;
|
||||||
|
int startStatisticStep = 800000;
|
||||||
|
|
||||||
|
int min_sub_iter = 50;
|
||||||
|
int max_sub_iter = 50;
|
||||||
|
double tol_sub_iter = 0.01;
|
||||||
|
|
||||||
|
int tscheme = 1;
|
||||||
|
int iSimplifyViscousTerm = 1;
|
||||||
|
double cfl_start = 0.001;
|
||||||
|
double cfl_end = 0.1;
|
||||||
|
int cfl_nstep = 500;
|
||||||
|
|
||||||
|
double ktmax = 1.0e10;
|
||||||
|
|
||||||
|
int swapDq = 1;
|
||||||
|
|
||||||
|
int sweeps = 1;
|
||||||
|
double epsilon = 0.1;
|
||||||
|
int turb_sweeps = 1;
|
||||||
|
double turb_epsilon = 0.1;
|
||||||
|
|
||||||
|
int ismooth_ns = 0;
|
||||||
|
int icalvis = 1;
|
||||||
|
int vis_run = 1;
|
||||||
|
int iupdate = 1;
|
||||||
|
int order = 2;
|
||||||
|
|
||||||
|
double limit_p = 3.0;
|
||||||
|
double limit_r = 3.0;
|
||||||
|
double visl_min = 0.01;
|
||||||
|
int nnegtive_max = 0;
|
||||||
|
|
||||||
|
double cflturb = 1.0;
|
||||||
|
double timemax = 1.0e10;
|
||||||
|
double dtsave = -1.0;
|
||||||
|
int iale = 0;
|
||||||
|
int ialetype = 2;
|
||||||
|
int maxale = 10;
|
||||||
|
int ntmst = 0;
|
||||||
|
double dtau = 0.001;
|
||||||
|
double dtau_max = 1E-01;
|
||||||
|
|
||||||
|
int iwallfunction = 0;
|
||||||
|
|
||||||
|
|
||||||
|
int n_stage = 2;
|
||||||
|
double lamda[2] = 0.5, 1.0;
|
||||||
|
|
||||||
|
//int n_stage = 1;
|
||||||
|
//double lamda[1] = 1.0;
|
||||||
|
|
||||||
|
//int n_stage = 4;
|
||||||
|
//double lamda[4] = 0.25,0.33333333333,0.5,1.0;
|
||||||
|
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
# File In or Out #
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
// gridfile: The partitioned Grid file path, using relative path,
|
||||||
|
// which is relative to the working directory.
|
||||||
|
// IMPORTANT WARNNING: the file index should be ignored,
|
||||||
|
// e.g. if the partitioned grid is rae2822_hybrid2d__4_0.fts,
|
||||||
|
// Please use 'rae2822_hybrid2d__4.fts' here!
|
||||||
|
// visual_field: If dump out the field results to visulization
|
||||||
|
// walldistMethod: The method to compute wall distance.
|
||||||
|
// 0 - accurate but not fast enough.
|
||||||
|
// 1 - fast but not accurate enough.
|
||||||
|
// 2 - Super fast but more non-accurate!
|
||||||
|
|
||||||
|
int numberOfGridGroups = 1;
|
||||||
|
string gridfile = "./grid/rae2822_hybrid2d__4.fts";
|
||||||
|
|
||||||
|
int walldistMethod = 1;
|
||||||
|
|
||||||
|
string resfile = "results/res.dat";
|
||||||
|
string turbresfile = "results/turbres.dat";
|
||||||
|
string aircoeffile = "results/aircoef.dat";
|
||||||
|
|
||||||
|
string flowfile = "results/flow.dat";
|
||||||
|
string turbfile = "results/turb.dat";
|
||||||
|
|
||||||
|
string visualfile = "results/tecflow.plt";
|
||||||
|
string Qwall_file = "results/Qwall.dat";
|
||||||
|
string wall_aircoefile = "results/wall_aircoef.dat";
|
||||||
|
|
||||||
|
string surfacefile = "";
|
||||||
|
|
||||||
|
string wall_varfile = "";
|
||||||
|
|
||||||
|
string componentDefineFile = "bin/component.hypara";
|
||||||
|
string jetDefineFile = "bin/jet.hypara";
|
||||||
|
|
||||||
|
string componentforcefile = "results/component_aircoef.dat";
|
||||||
|
|
||||||
|
string overset_gridfile = "iblank.ovs";
|
||||||
|
|
||||||
|
int visual_field = 0;
|
||||||
|
|
||||||
|
//visualSlice: The slice of tecflow
|
||||||
|
// 0 - Do not save slice data
|
||||||
|
// 1 - comput and save it to sliceFile
|
||||||
|
//sliceAxis: Normal vector of slice
|
||||||
|
// 1 - X_DIR
|
||||||
|
// 2 - Y_DIR
|
||||||
|
// 3 - Z_DIR
|
||||||
|
//slicePostion: Coordinate of slice
|
||||||
|
|
||||||
|
int visualSlice = 0;
|
||||||
|
int sliceAxis = 1;
|
||||||
|
double slicePostion = -0.5;
|
||||||
|
string sliceFile = "results/Slice.plt";
|
||||||
|
|
||||||
|
// min-max box of the visual block.
|
||||||
|
double visual_block_min[3] = [0.0 0.0 0.0];
|
||||||
|
double visual_block_max[3] = [1.0 1.0 1.0];
|
||||||
|
|
||||||
|
// nVisualVariables: number of variables want to be dumped for tecplot visualization.
|
||||||
|
// visualVariables : variable types dumped, listed as following:
|
||||||
|
// -- density(0), u(1), v(2), w(3), pressure(4), temperature(5), mach(6)
|
||||||
|
// -- viscosityLaminar(7), viscosityTurbulent(8)
|
||||||
|
// -- vorticity_x(9), vorticity_y(10), vorticity_z(11), vorticityMagnitude(12), strain_rate(13), Q_criteria(14)
|
||||||
|
// -- Cp(15), timeStep(16), volume(17)
|
||||||
|
// -- modeledTKE(18),modeleddissipationrate(19), SSTF1(20), SSTF2(21)
|
||||||
|
// Important Warning: Array size of visualVariables MUST be equal to nVisualVariables!!!.
|
||||||
|
// Arriables order must from small to larger.
|
||||||
|
int nVisualVariables = 8;
|
||||||
|
int visualVariables[8] = 0, 1, 2, 3, 4, 5, 6, 15;
|
||||||
|
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
# Turbulence Parameter #
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
//turb_vis_kind :
|
||||||
|
// const int VIS_STD = 0;
|
||||||
|
// const int VIS_AVER = 1;
|
||||||
|
// const int VIS_TEST = 2;
|
||||||
|
// const int VIS_NEW1 = 3;
|
||||||
|
// const int VIS_NEW2 = 4;
|
||||||
|
// const int VIS_ERIC = 5;
|
||||||
|
int turbInterval = 1;
|
||||||
|
int turb_vis_kind = 2;
|
||||||
|
int turb_s_kind = 0; //turb_s_kind = 0:original 1:edwards 2:new
|
||||||
|
int mod_turb_res = 0;
|
||||||
|
double turb_relax = 1.0;
|
||||||
|
double turb_min_coef = 1.0e-1;
|
||||||
|
double vistoo = 1.0e-3;
|
||||||
|
double muoo = 1.0e-1;
|
||||||
|
double kwoo = 1.0;
|
||||||
|
|
||||||
|
|
||||||
|
# maximum eddy viscosity (myt/my)max
|
||||||
|
double mytmax = 1.0e10;
|
||||||
|
double sdilim = 1.0e20;
|
||||||
|
double coef_kvist = 1.0;
|
||||||
|
int monitor_vistmax = 0;
|
||||||
|
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
# Other Parameter #
|
||||||
|
//-----------------------------------------------------------------------
|
||||||
|
// iapplication: 0 - NS
|
||||||
|
// 1 - MHD
|
||||||
|
// nm: equation number of the physics , but is out of commision now.
|
||||||
|
// 4 - for 2D
|
||||||
|
// 5 - for 3D
|
||||||
|
//ncatamod: 0 - full non-catalytic wall boundary condition;
|
||||||
|
// 1 - full catalytic wall boundary condition;
|
||||||
|
|
||||||
|
int dg_high_order = 0; //0 常规精度 ， 1 DG 高阶精度
|
||||||
|
int iapplication = 0;
|
||||||
|
int nm = 5;
|
||||||
|
|
||||||
|
//MHD相关
|
||||||
|
double bxoo = 0.0;
|
||||||
|
double byoo = 0.0;
|
||||||
|
double bzoo = 0.0;
|
||||||
|
|
||||||
|
double gama0 = 1.4;
|
||||||
|
double prl = 0.72;
|
||||||
|
double prt = 0.90;
|
||||||
|
double sc_l = 0.5;
|
||||||
|
double sc_t = 0.5;
|
||||||
|
|
||||||
|
int nchem = 0;
|
||||||
|
int nchemsrc = 0;
|
||||||
|
int nchemrad = 0;
|
||||||
|
int ntmodel = 1;
|
||||||
|
string gasfile = "./chemical/Gupta_air5s6r.dat";
|
||||||
|
int ncatamod = 0;
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
// Multi-Grid parameters.
|
||||||
|
// mgrid: The number of level of Multi-Grid
|
||||||
|
// <= 1 : Single level.
|
||||||
|
// > 1 : multi-level.
|
||||||
|
// npre : for each grid, the number of pre-smoothing steps
|
||||||
|
// npost : for each grid, the number of post-smoothing steps
|
||||||
|
// n_solve: for the coarest grid the number of smoothing steps
|
||||||
|
// n_fas : V-multi cycle or W-multi cycle.
|
||||||
|
// 1 : V-multi cycle
|
||||||
|
// 2 : W-multi cycle
|
||||||
|
// mgvisl : If calculate the viscous term on coarse grid
|
||||||
|
// 0 : No
|
||||||
|
// 1 : Yes
|
||||||
|
// mgvist : If consideration the turbulent model on coarse grid.
|
||||||
|
// 0 : No
|
||||||
|
// 1 : Yes
|
||||||
|
// mgInitStep: Number of step computing on coarse grid, during flow initialization.
|
||||||
|
// cflMGTimes: CFL number enlarge times for coarse grid.
|
||||||
|
// mprol: Multi-grid interpolation method, interpolation from coarse cell to fine grid:
|
||||||
|
// 1: zero order;
|
||||||
|
// 2: first-order(default).
|
||||||
|
int mgrid = 1;
|
||||||
|
int n_solve = 1;
|
||||||
|
int n_pre = 1;
|
||||||
|
int n_fas = 1;
|
||||||
|
int n_post = 0;
|
||||||
|
int mgvisl = 1;
|
||||||
|
int mgvist = 0;
|
||||||
|
int mgInitStep = 100;
|
||||||
|
int mprol = 2;
|
||||||
|
double cflMGTimes = 1.0;
|
||||||
|
double correctionLimit= 0.01;
|
||||||
|
|
||||||
|
//----------------------- Some parameter for turbulent model. -----------------------------
|
||||||
|
int neasm = -3; // the variation of kw turbulent model
|
||||||
|
int ivortsource = 0;
|
||||||
|
int ismooth_turb = 0; // Residual smooth for turb or not.
|
||||||
|
|
||||||
|
int isplt = 2;
|
||||||
|
|
||||||
|
int inflowtype = 0;
|
||||||
|
|
||||||
|
//string n_turb_scheme = "roe","center","nnd";
|
||||||
|
string n_turb_scheme = "nnd";
|
||||||
|
|
||||||
|
// ---------------- Overset Grid parameter -------------------------------------
|
||||||
|
int codeOfDigHoles = 1;
|
||||||
|
int codeOfTurbulentModel = 0;
|
||||||
|
string masterFileName = "./grid/searchFile.inp";
|
||||||
|
string holeBasicFileName = "./grid/holeBasicFile.inp";
|
||||||
|
string holeFullFileName = "./grid/holeFullFile.dat";
|
||||||
|
string linkFileName = "./grid/topology.dat";
|
||||||
|
string zoneInverseFileName = "./grid/zoneInverseMapping.inp";
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
# High Order Struct Solver #
|
||||||
|
#########################################################################
|
||||||
|
// ifvfd : 0 - NSSolverStruct using Finite Volume Method;
|
||||||
|
// 1 - NSSolverStruct using Finite Differ Method;
|
||||||
|
// =0 default
|
||||||
|
// SolverStructOrder: Spatial discretisation order of NS equations with struct grid
|
||||||
|
// =<2 finite volume method
|
||||||
|
// >=3 finite difference order (to be completed)
|
||||||
|
// =0 default
|
||||||
|
// str_highorder_interpolation_name: interpolation method: "prim", "char"
|
||||||
|
// str_highorder_flux_name: flux evaluation method: "roe", "steger", "godunov", "hllc"
|
||||||
|
int ifvfd = 0;
|
||||||
|
int SolverStructOrder = 0;
|
||||||
|
string str_highorder_interpolation_name = "char";
|
||||||
|
string str_highorder_flux_name = "steger";
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
// ---------------- advanced choices -------------------------------------------
|
||||||
|
// xkmuscl: the parameter of MUSCL interpolations, belongs to [-1,1].
|
||||||
|
// -1 - seconde-order fully-upwind differencing
|
||||||
|
// 0 - seconde-order upwind-biased differencing
|
||||||
|
// 0.333333 - third-order upwind-biased differencing
|
||||||
|
// 1 - seconde-order central differencing
|
||||||
|
// xbmuscl: the limiter parameter.
|
||||||
|
// 0 - the effect of the limiter is cancelled, means the first-order interpolations.
|
||||||
|
// allReduceStep: iteration intervals for MPI AllReduce operation, default '1'.
|
||||||
|
string outtimesc = "impbd2";
|
||||||
|
double unxk1 = 1.0;
|
||||||
|
double unxk2 = 0.0;
|
||||||
|
double xkmuscl = -1;
|
||||||
|
double xbmuscl = 1.0;
|
||||||
|
int allReduceStep = 1;
|
||||||
|
|
||||||
|
|
||||||
|
// --------------- ATP read ----------------------------------------------------
|
||||||
|
//@int inflowParaType = 0;
|
||||||
|
//@double reynolds = 2.329418E08;
|
||||||
|
//@double reference_temperature_dimensional = 288.144;
|
||||||
|
//@double reference_pressure_dimensional = 1.01313E05;
|
||||||
|
//@double height = -0.001;
|
||||||
|
//@int nsubsonicInlet = 0;
|
||||||
|
//@int nsubsonicOutlet = 0;
|
||||||
|
//@string inLetFileName = "./bin/subsonicInlet.hypara";
|
||||||
|
//@string outLetFileName = "./bin/subsonicOutlet.hypara";
|
||||||
|
|
@ -0,0 +1,210 @@
|
||||||
|
#########################################################################
|
||||||
|
# General Control Parameter #
|
||||||
|
#########################################################################
|
||||||
|
// maxSimuStep: The max simulation step, don't care simulation is restart or not.
|
||||||
|
// intervalStepFlow: The step intervals for flow variables file 'flow.dat' saved.
|
||||||
|
// intervalStepPlot: The step intervals for tecplot visual file 'tecflow.dat' saved.
|
||||||
|
// intervalStepForce: The step intervals for aerodynamics coefficients file 'aircoef.dat' saved.
|
||||||
|
// intervalStepRes: The step intervals for residual 'res.dat' saved.
|
||||||
|
|
||||||
|
int maxSimuStep = 10000;
|
||||||
|
|
||||||
|
int intervalStepFlow = 10000;
|
||||||
|
int intervalStepPlot = 10000;
|
||||||
|
int intervalStepForce = 100;
|
||||||
|
int intervalStepRes = 500;
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
# Inflow Parameter #
|
||||||
|
#########################################################################
|
||||||
|
// refMachNumber: Mach number.
|
||||||
|
// attackd: Angle of attack.
|
||||||
|
// angleSlide: Angle of sideslip.
|
||||||
|
// inflowParaType: The type of inflow parameters.
|
||||||
|
// 0 -- the nondimensional conditions.
|
||||||
|
// 1 -- the flight conditions.
|
||||||
|
// 2 -- the experiment conditions.
|
||||||
|
// 3 -- the subsonic boundary conditions.
|
||||||
|
// refReNumber: Reynolds number, which is based unit length, unit of 1/m.
|
||||||
|
// refDimensionalTemperature: Dimensional reference temperature, or the total temperature only for the experiment condition.
|
||||||
|
// refDimensionalPressure: Dimensional reference pressure, or the total pressure only for the experiment condition.
|
||||||
|
// height: Fly height, unit of km.
|
||||||
|
// gridScaleFactor: The customizable unit of the grid, default value is 1.0 for meter.Common dimensions like:
|
||||||
|
// 1 dm = 0.1 m.
|
||||||
|
// 1 cm = 0.01 m.
|
||||||
|
// 1 mm = 0.001m.
|
||||||
|
// 1 inch = 0.0254m.
|
||||||
|
// 1 foot = 12 inches = 0.3048m.
|
||||||
|
// 1 yard = 3 feet = 0.9144m.
|
||||||
|
// forceRefenenceLength, forceRefenenceLengthSpanWise, forceRefenenceArea: Reference length, SpanWise length and area, independent of grid unit.
|
||||||
|
// TorqueRefX, TorqueRefY, TorqueRefZ: Reference point, independent of grid unit.
|
||||||
|
|
||||||
|
double refMachNumber = 0.76;
|
||||||
|
double attackd = 1.25;
|
||||||
|
double angleSlide = 0.00;
|
||||||
|
|
||||||
|
int inflowParaType = 0;
|
||||||
|
double refReNumber = 1.171e7;
|
||||||
|
double refDimensionalTemperature = 288.15;
|
||||||
|
|
||||||
|
//int inflowParaType = 1;
|
||||||
|
//double height = 0.001;
|
||||||
|
|
||||||
|
//int inflowParaType = 2;
|
||||||
|
//double refDimensionalTemperature = 6051.024; // The total temperature, T*(1+(refGama-1)*M*M/2).
|
||||||
|
//double refDimensionalPressure = 4.299696E09; // The total pressure, p*(T0/T)^(refGama/(refGama-1)).
|
||||||
|
|
||||||
|
double gridScaleFactor = 1.0;
|
||||||
|
|
||||||
|
double forceRefenenceLengthSpanWise = 1.0; // unit of meter.
|
||||||
|
double forceRefenenceLength = 1.0; // unit of meter.
|
||||||
|
double forceRefenenceArea = 1.0; // unit of meter^2.
|
||||||
|
double TorqueRefX = 0.0; // unit of meter.
|
||||||
|
double TorqueRefY = 0.0; // unit of meter.
|
||||||
|
double TorqueRefZ = 0.0; // unit of meter.
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
# Physical models #
|
||||||
|
#########################################################################
|
||||||
|
// viscousType : Viscous model.
|
||||||
|
// 0 -- Euler.
|
||||||
|
// 1 -- Lamilar.
|
||||||
|
// 3 -- 1eq turbulent.
|
||||||
|
// 4 -- 2eq turbulent.
|
||||||
|
// viscousName: Laminar or tubulent model.
|
||||||
|
// -- "1eq-sa", when viscousType = 3.
|
||||||
|
// -- "2eq-kw-menter-sst", when viscousType = 4.
|
||||||
|
// DESType: Type of DES.
|
||||||
|
// 0 -- RANS.(default)
|
||||||
|
// 1 -- DES.
|
||||||
|
// 2 -- DDES.
|
||||||
|
// 3 -- IDDES.
|
||||||
|
|
||||||
|
//int viscousType = 0;
|
||||||
|
//string viscousName = "Euler";
|
||||||
|
|
||||||
|
//int viscousType = 1;
|
||||||
|
//string viscousName = "laminar";
|
||||||
|
|
||||||
|
int viscousType = 3;
|
||||||
|
string viscousName = 1eq-sa;
|
||||||
|
|
||||||
|
//int viscousType = 4;
|
||||||
|
//string viscousName = "2eq-kw-menter-sst";
|
||||||
|
|
||||||
|
//int viscousType = 5;
|
||||||
|
//string viscousName = DNN;
|
||||||
|
//double TimeBeta = 0.8;
|
||||||
|
//double SpaceBeta = 1.0;
|
||||||
|
|
||||||
|
int DESType = 0;
|
||||||
|
|
||||||
|
int roeEntropyFixMethod = 3;
|
||||||
|
double roeEntropyScale = 1.0;
|
||||||
|
#########################################################################
|
||||||
|
# Spatial Discretisation #
|
||||||
|
#########################################################################
|
||||||
|
#*******************************************************************
|
||||||
|
# Struct Solver *
|
||||||
|
#*******************************************************************
|
||||||
|
// inviscidSchemeName: Spatial discretisation scheme of struct grid.
|
||||||
|
// Using this when solve structered grid or hybrid.
|
||||||
|
// -- "roe", "vanleer", "ausm+up", "ausmpw".
|
||||||
|
// str_limiter_name: Limiter of struct grid.
|
||||||
|
// -- "3rdsmooth", "smooth".
|
||||||
|
// -- "nolim", no limiter.
|
||||||
|
|
||||||
|
string inviscidSchemeName = "roe";
|
||||||
|
string str_limiter_name = "smooth";
|
||||||
|
|
||||||
|
#*******************************************************************
|
||||||
|
# UnStruct Solver *
|
||||||
|
#*******************************************************************
|
||||||
|
// uns_scheme_name: Spatial discretisation scheme of Unstruct grid.
|
||||||
|
// Using this when solve Unstructered grid or hybrid.
|
||||||
|
// -- "vanleer", "roe", "steger", "kfvs", "lax_f", "hlle".
|
||||||
|
// -- "ausm+", "ausmdv", "ausm+w", "ausmpw", "ausmpwplus".
|
||||||
|
// uns_limiter_name: Limiter of Unstruct grid.
|
||||||
|
// -- "vencat", "barth".
|
||||||
|
// -- "1st", meaning accuracy of first-order.
|
||||||
|
// -- "nolim", no limiter.
|
||||||
|
// venkatCoeff: Coefficient of vencat limiter, when uns_limiter_name = 'vencat'.
|
||||||
|
// The smaller the value, the more robust it is.
|
||||||
|
|
||||||
|
string uns_scheme_name = "roe";
|
||||||
|
string uns_limiter_name = "vencat";
|
||||||
|
double venkatCoeff = 50.0;
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
# Temporal Discretisation #
|
||||||
|
#########################################################################
|
||||||
|
// iunsteady: Steady or unsteady.
|
||||||
|
// 0 -- steady.
|
||||||
|
// 1 -- unsteay.
|
||||||
|
// CFLEnd: The CFL number, [0.1, 100].
|
||||||
|
// The bigger the value, the convergence faster but lower robustness.
|
||||||
|
// nLUSGSSweeps: Number of Sub-iteration of LU-SGS.
|
||||||
|
// 1 -- is recommended for structured solver.
|
||||||
|
// 1-3 -- is recommended for unstructured solver.
|
||||||
|
|
||||||
|
int iunsteady = 0;
|
||||||
|
|
||||||
|
double CFLEnd = 100.0;
|
||||||
|
|
||||||
|
int nLUSGSSweeps = 5;
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
# Multi-Grid parameters #
|
||||||
|
#########################################################################
|
||||||
|
// nMGLevel: The number of Multi-Grid level.
|
||||||
|
// = 1 -- single-level.
|
||||||
|
// > 1 -- multi-level.
|
||||||
|
// flowInitStep: Flow initialization step, 0 - 500 is suggested.
|
||||||
|
// Multi-Grid : Number of steps computing on coarse grid, during flow initialization.
|
||||||
|
// Single-Grid: Number of steps computing using first-order with vanleer, during flow initialization.
|
||||||
|
|
||||||
|
int nMGLevel = 1;
|
||||||
|
int flowInitStep = 100;
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
# File In or Out #
|
||||||
|
#########################################################################
|
||||||
|
// gridfile: The partitioned Grid file path, using relative path,
|
||||||
|
// which is relative to the working directory.
|
||||||
|
// IMPORTANT WARNING: The file index should be ignored,
|
||||||
|
// e.g. if the partitioned grid is rae2822_hybrid2d__4_0.fts,
|
||||||
|
// Please use 'rae2822_hybrid2d__4.fts' here!
|
||||||
|
// plotFieldType: If dump out the whole field results to tecplot or not, 0 / 1.
|
||||||
|
|
||||||
|
string gridfile = ./grid/M6__48.fts;
|
||||||
|
int plotFieldType = 1;
|
||||||
|
|
||||||
|
// ----------------- Advanced Parameters, DO NOT care it ----------------
|
||||||
|
// nVisualVariables: Number of variables want to be dumped for tecplot visualization.
|
||||||
|
// visualVariables: Variable types dumped, listed as following:
|
||||||
|
// -- density(0), u(1), v(2), w(3), pressure(4), temperature(5), mach(6),
|
||||||
|
// -- viscosityLaminar(7), viscosityTurbulent(8),
|
||||||
|
// -- vorticity_x(9), vorticity_y(10), vorticity_z(11), vorticityMagnitude(12),
|
||||||
|
// -- strain_rate(13), Q_criteria(14), Cp(15), timeStep(16), volume(17),
|
||||||
|
// -- modeledTKE(18), modeleddissipationrate(19), SSTF1(20), SSTF2(21), iblank(81).
|
||||||
|
// Important Warning: Array size of visualVariables MUST be equal to nVisualVariables!!!
|
||||||
|
// Variables order must from small to big.
|
||||||
|
|
||||||
|
int nVisualVariables = 9;
|
||||||
|
int visualVariables[] = [0, 1, 2, 3, 4, 5, 6, 8, 15];
|
||||||
|
|
||||||
|
// limitVariables: Limit model (It is useful only if limitVector is 0).
|
||||||
|
// 0 -- limit only for pressure and denstiny, then get the min value.
|
||||||
|
// 1 -- limit for every variables, then get the min value.
|
||||||
|
// limitVector:
|
||||||
|
// 0 -- Each variable use the same limiter coefficient.
|
||||||
|
// 1 -- Each variable use the respective limiter coefficients.
|
||||||
|
// reconmeth:
|
||||||
|
// 0 -- When reconstruct face value, Q+, Q- use respective limiter coefficients.
|
||||||
|
// 1 -- Q+, Q- use the min limiter coefficients of left and right cell.
|
||||||
|
|
||||||
|
int reconmeth = 1;
|
||||||
|
int limitVariables = 0;
|
||||||
|
int limitVector = 0;
|
||||||
|
|
||||||
|
double MUSCLCoefXk = 0.333333;
|
||||||
|
|
@ -0,0 +1,30 @@
|
||||||
|
#########################################################################
|
||||||
|
# Grid data type #
|
||||||
|
#########################################################################
|
||||||
|
// gridtype: Grid type for generation, conversion, reconstruction, merging.
|
||||||
|
// 0 -- Unstructured grid.
|
||||||
|
// 1 -- Structured grid.
|
||||||
|
// axisup: Type of Cartisien coordinates system, used in grid conversion.
|
||||||
|
// 1 -- Y upward. (default)
|
||||||
|
// 2 -- Z upward.
|
||||||
|
// from_gtype: Type of grid data type in grid conversion process.
|
||||||
|
// -1 -- MULTI_TYPE.
|
||||||
|
// 1 -- PHengLEI, *.fts.
|
||||||
|
// 2 -- CGNS, *.cgns.
|
||||||
|
// 3 -- Plot3D type of structured grid, *.dat/*.grd.
|
||||||
|
// 4 -- Fieldview type of unstructured grid, *.dat/*.inp.
|
||||||
|
// 5 -- Fluent, *.cas/*.msh.
|
||||||
|
// 6 -- Ustar, mgrid.in.
|
||||||
|
// 7 -- Hybrid, include both of unstructured and structured grid, *.fts.
|
||||||
|
// 8 -- GMSH, *.msh.
|
||||||
|
int gridtype = 0;
|
||||||
|
int axisup = 1;
|
||||||
|
int from_gtype = 5;
|
||||||
|
|
||||||
|
#########################################################################
|
||||||
|
# File path #
|
||||||
|
#########################################################################
|
||||||
|
// from_gfile: path of original data file for unstructure grid convert from.
|
||||||
|
// out_gfile: path of target file for grid convert to, *.fts type of file usually.
|
||||||
|
string from_gfile = "./grid/M6_240w.cas";
|
||||||
|
string out_gfile = "./grid/M6.fts";
|
||||||
|
|
@ -0,0 +1,59 @@
|
||||||
|
string title = "PHengLEI Main Parameter Control File";
|
||||||
|
|
||||||
|
// IMPORTANT NOTICE: DON NOT MODIFY THE FOWLLOWING LINE.
|
||||||
|
string defaultParaFile = "./bin/cfd_para.hypara";
|
||||||
|
|
||||||
|
// ndim: Dimensional of the grid, 2 or 3.
|
||||||
|
// nparafile: the number of parameter files.
|
||||||
|
// nsimutask: simulation task type.
|
||||||
|
// 0 -- CFD Solver of NS or Turbulation.
|
||||||
|
// 1 -- Grid generation: for special typical cases, such as cylinder, flat plate, etc.
|
||||||
|
// Grid conversion: from other format to PHengLEI format (.fts).
|
||||||
|
// Grid reconstruction: such as grid adaptation.
|
||||||
|
// Grid merging: merge two blocks into one block.
|
||||||
|
// Grid repairing: repair the original grid in order to remove the negative volume cells.
|
||||||
|
// 2 -- Wall distance computation for turb-solver.
|
||||||
|
// 3 -- Grid partition.
|
||||||
|
// 4 -- Knowledge repository / examples of PHengLEI-API.
|
||||||
|
int ndim = 3;
|
||||||
|
int nparafile = 1;
|
||||||
|
|
||||||
|
int nsimutask = 0;
|
||||||
|
//string parafilename = "./bin/cfd_para_subsonic.hypara";
|
||||||
|
string parafilename = "./bin/cfd_para_transonic.hypara";
|
||||||
|
//string parafilename = "./bin/cfd_para_supersonic.hypara";
|
||||||
|
//string parafilename = "./bin/cfd_para_hypersonic.hypara";
|
||||||
|
//string parafilename = "./bin/cfd_para_incompressible.hypara";
|
||||||
|
|
||||||
|
//int nsimutask = 1;
|
||||||
|
//string parafilename = "./bin/grid_para.hypara";
|
||||||
|
|
||||||
|
//int nsimutask = 2;
|
||||||
|
//string parafilename = "./bin/cfd_para.hypara";
|
||||||
|
|
||||||
|
//int nsimutask = 3;
|
||||||
|
//string parafilename = "./bin/partition.hypara";
|
||||||
|
|
||||||
|
//int nsimutask = 1;
|
||||||
|
//string parafilename = "./bin/grid_deform_para.hypara";
|
||||||
|
|
||||||
|
//int nsimutask = 4;
|
||||||
|
//string parafilename = "./bin/repository.hypara";
|
||||||
|
|
||||||
|
//int nsimutask = 5;
|
||||||
|
//string parafilename = "./bin/overset_grid_view.hypara";
|
||||||
|
|
||||||
|
//int nsimutask = 13;
|
||||||
|
//string parafilename = "./bin/lbm_para.hypara";
|
||||||
|
|
||||||
|
//int nsimutask = 14;
|
||||||
|
//string parafilename = "./bin/integrative_solver.hypara";
|
||||||
|
|
||||||
|
//int nsimutask = 99;
|
||||||
|
//string parafilename = "./bin/post_processing.hypara";
|
||||||
|
|
||||||
|
// ---------------- Advanced Parameters, DO NOT care it ----------------
|
||||||
|
int numberOfGridProcessor = 0;
|
||||||
|
// ATP read
|
||||||
|
//@string parafilename1 = ""
|
||||||
|
//@string parafilename2 = "";
|
||||||
|
|
@ -0,0 +1,44 @@
|
||||||
|
31
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
11
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
|
@ -0,0 +1,21 @@
|
||||||
|
// pgridtype: The grid type.
|
||||||
|
// 0 -- unstruct grid.
|
||||||
|
// 1 -- struct grid.
|
||||||
|
// maxproc: The number of partition zones that want to be divided into,
|
||||||
|
// which is equal to the number of CPU processors you want.
|
||||||
|
// Usually, 50~100 thousands structured cells per CPU-Core is suggested.
|
||||||
|
// 30~70 thousands unstructured cells per CPU-Core is suggested.
|
||||||
|
// original_grid_file: Original grid file that want to be divided(PHengLEI type, *.fts).
|
||||||
|
// partition_grid_file: Target partition grid file(PHengLEI type, *.fts).
|
||||||
|
|
||||||
|
int pgridtype = 0;
|
||||||
|
int maxproc = 94;
|
||||||
|
|
||||||
|
string original_grid_file = "./grid/M6.fts";
|
||||||
|
string partition_grid_file = "./grid/M6__94.fts";
|
||||||
|
|
||||||
|
// numberOfMultigrid: Number of multi-grid levels, ONLY used for structured grid.
|
||||||
|
// 1 -- single level.
|
||||||
|
// 2 -- 2 level.
|
||||||
|
// N -- N level,..., et al.
|
||||||
|
int numberOfMultigrid = 1;
|
||||||
|
|
@ -0,0 +1,15 @@
|
||||||
|
#########################################################################
|
||||||
|
# General Control Parameter #
|
||||||
|
#########################################################################
|
||||||
|
// gridfile: The partitioned Grid file path, using relative path,
|
||||||
|
// which is relative to the working directory.
|
||||||
|
// gridfile: The flow data file.
|
||||||
|
|
||||||
|
string gridfile = "./grid/rae2822_vis2d.fts";
|
||||||
|
string restartNSFile = "results/flow.dat";
|
||||||
|
string turbfile = "results/turb.dat";
|
||||||
|
|
||||||
|
|
||||||
|
// isFVMOrFDM : 0 - NSSolverStruct using Finite Volume Method;
|
||||||
|
// 1 - NSSolverStruct using Finite Differ Method.
|
||||||
|
int isFVMOrFDM = 0;
|
||||||
|
|
@ -0,0 +1,11 @@
|
||||||
|
#----------------------------------#
|
||||||
|
# Total Probes Number #
|
||||||
|
#----------------------------------#
|
||||||
|
3
|
||||||
|
#----------------------------------#
|
||||||
|
# Probes Coordinate,unit of m. #
|
||||||
|
# x y z #
|
||||||
|
#----------------------------------#
|
||||||
|
0.0254 0.0253 0.0
|
||||||
|
0.0508 0.0253 0.0
|
||||||
|
0.0762 0.0253 0.0
|
||||||
|
|
@ -0,0 +1,342 @@
|
||||||
|
31 11
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
1.000000000000000e+00 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
9.333333333333333e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
8.666666666666667e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
8.000000000000000e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
7.333333333333334e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
6.666666666666667e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
6.000000000000001e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
5.333333333333332e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
4.666666666666667e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
4.000000000000000e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
3.333333333333334e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
2.666666666666667e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
2.000000000000000e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
1.333333333333333e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
6.666666666666665e-02 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
0.000000000000000e+00 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-6.666666666666665e-02 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-1.333333333333333e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-2.000000000000000e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-2.666666666666666e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-3.333333333333333e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-3.999999999999999e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-4.666666666666666e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-5.333333333333332e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-6.000000000000001e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-6.666666666666667e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-7.333333333333334e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-8.000000000000000e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-8.666666666666667e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-9.333333333333333e-01 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 0.000000000000000e+00
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 1.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 2.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 3.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 4.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 5.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 6.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 7.000000000000000e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 7.999999999999999e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 8.999999999999999e-01
|
||||||
|
-1.000000000000000e+00 1.000000000000000e+00 9.999999999999999e-01
|
||||||
|
|
@ -0,0 +1,27 @@
|
||||||
|
ACL_SUCCESS = 0
|
||||||
|
|
||||||
|
# rule for mem
|
||||||
|
ACL_MEM_MALLOC_HUGE_FIRST = 0
|
||||||
|
ACL_MEM_MALLOC_HUGE_ONLY = 1
|
||||||
|
ACL_MEM_MALLOC_NORMAL_ONLY = 2
|
||||||
|
|
||||||
|
# rule for memory copy
|
||||||
|
ACL_MEMCPY_HOST_TO_HOST = 0
|
||||||
|
ACL_MEMCPY_HOST_TO_DEVICE = 1
|
||||||
|
ACL_MEMCPY_DEVICE_TO_HOST = 2
|
||||||
|
ACL_MEMCPY_DEVICE_TO_DEVICE = 3
|
||||||
|
|
||||||
|
#numpy data type
|
||||||
|
NPY_FLOAT32 = 11
|
||||||
|
NPY_FLOAT16 = 23
|
||||||
|
|
||||||
|
#profile para
|
||||||
|
ACL_PROF_ACL_API = 1
|
||||||
|
ACL_PROF_TASK_TIME = 2
|
||||||
|
ACL_PROF_AICPU_TRACE = 4
|
||||||
|
ACL_PROF_AICORE_METRICS = 8
|
||||||
|
ACL_PROF_L2CACHE = 16
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
@ -0,0 +1,222 @@
|
||||||
|
# -*- coding: utf-8 -*-
|
||||||
|
# @Author: sun
|
||||||
|
# @Date: 2022-03-23 19:25:46
|
||||||
|
# @Last Modified by: sun
|
||||||
|
# @Last Modified time: 2022-03-23 19:26:10
|
||||||
|
"""
|
||||||
|
Copyright (R) @huawei.com, all rights reserved
|
||||||
|
-*- coding:utf-8 -*-
|
||||||
|
CREATED: 2020-6-04 20:12:13
|
||||||
|
MODIFIED: 2020-6-06 14:04:45
|
||||||
|
"""
|
||||||
|
SUCCESS = 0
|
||||||
|
FAILED = 1
|
||||||
|
|
||||||
|
ACL_DEVICE = 0
|
||||||
|
ACL_HOST = 1
|
||||||
|
|
||||||
|
MEMORY_NORMAL = 0
|
||||||
|
MEMORY_HOST = 1
|
||||||
|
MEMORY_DEVICE = 2
|
||||||
|
MEMORY_DVPP = 3
|
||||||
|
MEMORY_CTYPES = 4
|
||||||
|
|
||||||
|
IMAGE_DATA_NUMPY = 0
|
||||||
|
IMAGE_DATA_BUFFER = 1
|
||||||
|
|
||||||
|
READ_VIDEO_OK = 0
|
||||||
|
|
||||||
|
# error code
|
||||||
|
ACL_SUCCESS = 0
|
||||||
|
ACL_ERROR_INVALID_PARAM = 100000
|
||||||
|
ACL_ERROR_UNINITIALIZE = 100001
|
||||||
|
ACL_ERROR_REPEAT_INITIALIZE = 100002
|
||||||
|
ACL_ERROR_INVALID_FILE = 100003
|
||||||
|
ACL_ERROR_WRITE_FILE = 100004
|
||||||
|
ACL_ERROR_INVALID_FILE_SIZE = 100005
|
||||||
|
ACL_ERROR_PARSE_FILE = 100006
|
||||||
|
ACL_ERROR_FILE_MISSING_ATTR = 100007
|
||||||
|
ACL_ERROR_FILE_ATTR_INVALID = 100008
|
||||||
|
ACL_ERROR_INVALID_DUMP_CONFIG = 100009
|
||||||
|
ACL_ERROR_INVALID_PROFILING_CONFIG = 100010
|
||||||
|
ACL_ERROR_INVALID_MODEL_ID = 100011
|
||||||
|
ACL_ERROR_DESERIALIZE_MODEL = 100012
|
||||||
|
ACL_ERROR_PARSE_MODEL = 100013
|
||||||
|
ACL_ERROR_READ_MODEL_FAILURE = 100014
|
||||||
|
ACL_ERROR_MODEL_SIZE_INVALID = 100015
|
||||||
|
ACL_ERROR_MODEL_MISSING_ATTR = 100016
|
||||||
|
ACL_ERROR_MODEL_INPUT_NOT_MATCH = 100017
|
||||||
|
ACL_ERROR_MODEL_OUTPUT_NOT_MATCH = 100018
|
||||||
|
ACL_ERROR_MODEL_NOT_DYNAMIC = 100019
|
||||||
|
ACL_ERROR_OP_TYPE_NOT_MATCH = 100020
|
||||||
|
ACL_ERROR_OP_INPUT_NOT_MATCH = 100021
|
||||||
|
ACL_ERROR_OP_OUTPUT_NOT_MATCH = 100022
|
||||||
|
ACL_ERROR_OP_ATTR_NOT_MATCH = 100023
|
||||||
|
ACL_ERROR_OP_NOT_FOUND = 100024
|
||||||
|
ACL_ERROR_OP_LOAD_FAILED = 100025
|
||||||
|
ACL_ERROR_UNSUPPORTED_DATA_TYPE = 100026
|
||||||
|
ACL_ERROR_FORMAT_NOT_MATCH = 100027
|
||||||
|
ACL_ERROR_BIN_SELECTOR_NOT_REGISTERED = 100028
|
||||||
|
ACL_ERROR_KERNEL_NOT_FOUND = 100029
|
||||||
|
ACL_ERROR_BIN_SELECTOR_ALREADY_REGISTERED = 100030
|
||||||
|
ACL_ERROR_KERNEL_ALREADY_REGISTERED = 100031
|
||||||
|
ACL_ERROR_INVALID_QUEUE_ID = 100032
|
||||||
|
ACL_ERROR_REPEAT_SUBSCRIBE = 100033
|
||||||
|
ACL_ERROR_STREAM_NOT_SUBSCRIBE = 100034
|
||||||
|
ACL_ERROR_THREAD_NOT_SUBSCRIBE = 100035
|
||||||
|
ACL_ERROR_WAIT_CALLBACK_TIMEOUT = 100036
|
||||||
|
ACL_ERROR_REPEAT_FINALIZE = 100037
|
||||||
|
ACL_ERROR_BAD_ALLOC = 200000
|
||||||
|
ACL_ERROR_API_NOT_SUPPORT = 200001
|
||||||
|
ACL_ERROR_INVALID_DEVICE = 200002
|
||||||
|
ACL_ERROR_MEMORY_ADDRESS_UNALIGNED = 200003
|
||||||
|
ACL_ERROR_RESOURCE_NOT_MATCH = 200004
|
||||||
|
ACL_ERROR_INVALID_RESOURCE_HANDLE = 200005
|
||||||
|
ACL_ERROR_STORAGE_OVER_LIMIT = 300000
|
||||||
|
ACL_ERROR_INTERNAL_ERROR = 500000
|
||||||
|
ACL_ERROR_FAILURE = 500001
|
||||||
|
ACL_ERROR_GE_FAILURE = 500002
|
||||||
|
ACL_ERROR_RT_FAILURE = 500003
|
||||||
|
ACL_ERROR_DRV_FAILURE = 500004
|
||||||
|
# rule for mem
|
||||||
|
ACL_MEM_MALLOC_HUGE_FIRST = 0
|
||||||
|
ACL_MEM_MALLOC_HUGE_ONLY = 1
|
||||||
|
ACL_MEM_MALLOC_NORMAL_ONLY = 2
|
||||||
|
# rule for memory copy
|
||||||
|
ACL_MEMCPY_HOST_TO_HOST = 0
|
||||||
|
ACL_MEMCPY_HOST_TO_DEVICE = 1
|
||||||
|
ACL_MEMCPY_DEVICE_TO_HOST = 2
|
||||||
|
ACL_MEMCPY_DEVICE_TO_DEVICE = 3
|
||||||
|
# input
|
||||||
|
LAST_ONE = -1
|
||||||
|
LAST_TWO = -2
|
||||||
|
type_dict = {
|
||||||
|
"bool": 0,
|
||||||
|
"int8": 1,
|
||||||
|
"int16": 2,
|
||||||
|
"int32": 4,
|
||||||
|
"int64": 8,
|
||||||
|
"uint8": 1,
|
||||||
|
"uint16": 2,
|
||||||
|
"uint32": 4,
|
||||||
|
"uint64": 8,
|
||||||
|
"float16": 2,
|
||||||
|
"float32": 4,
|
||||||
|
"float64": 8,
|
||||||
|
"float_": 8
|
||||||
|
}
|
||||||
|
NPY_BOOL = 0
|
||||||
|
NPY_BYTE = 1
|
||||||
|
NPY_UBYTE = 2
|
||||||
|
NPY_SHORT = 3
|
||||||
|
NPY_USHORT = 4
|
||||||
|
NPY_INT = 5
|
||||||
|
NPY_UINT = 6
|
||||||
|
NPY_LONG = 7
|
||||||
|
NPY_ULONG = 8
|
||||||
|
NPY_LONGLONG = 9
|
||||||
|
NPY_ULONGLONG = 10
|
||||||
|
|
||||||
|
ACL_DT_UNDEFINED = -1
|
||||||
|
ACL_FLOAT = 0
|
||||||
|
ACL_FLOAT16 = 1
|
||||||
|
ACL_INT8 = 2
|
||||||
|
ACL_INT32 = 3
|
||||||
|
ACL_UINT8 = 4
|
||||||
|
ACL_INT16 = 6
|
||||||
|
ACL_UINT16 = 7
|
||||||
|
ACL_UINT32 = 8
|
||||||
|
ACL_INT64 = 9
|
||||||
|
ACL_UINT64 = 10
|
||||||
|
ACL_DOUBLE = 11
|
||||||
|
ACL_BOOL = 12
|
||||||
|
|
||||||
|
# data format
|
||||||
|
ACL_FORMAT_UNDEFINED = -1
|
||||||
|
ACL_FORMAT_NCHW = 0
|
||||||
|
ACL_FORMAT_NHWC = 1
|
||||||
|
ACL_FORMAT_ND = 2
|
||||||
|
ACL_FORMAT_NC1HWC0 = 3
|
||||||
|
ACL_FORMAT_FRACTAL_Z = 4
|
||||||
|
ACL_DT_UNDEFINED = -1
|
||||||
|
ACL_FLOAT = 0
|
||||||
|
ACL_FLOAT16 = 1
|
||||||
|
ACL_INT8 = 2
|
||||||
|
ACL_INT32 = 3
|
||||||
|
ACL_UINT8 = 4
|
||||||
|
ACL_INT16 = 6
|
||||||
|
ACL_UINT16 = 7
|
||||||
|
ACL_UINT32 = 8
|
||||||
|
ACL_INT64 = 9
|
||||||
|
ACL_UINT64 = 10
|
||||||
|
ACL_DOUBLE = 11
|
||||||
|
ACL_BOOL = 12
|
||||||
|
acl_dtype = {
|
||||||
|
"dt_undefined": -1,
|
||||||
|
"float": 0,
|
||||||
|
"float16": 1,
|
||||||
|
"int8": 2,
|
||||||
|
"int32": 3,
|
||||||
|
"uint8": 4,
|
||||||
|
"int16": 6,
|
||||||
|
"uint16": 7,
|
||||||
|
"uint32": 8,
|
||||||
|
"int64": 9,
|
||||||
|
"double": 11,
|
||||||
|
"bool": 12
|
||||||
|
}
|
||||||
|
ACL_CALLBACK_NO_BLOCK = 0
|
||||||
|
ACL_CALLBACK_BLOCK = 1
|
||||||
|
PIXEL_FORMAT_YUV_400 = 0 # 0, YUV400 8bit
|
||||||
|
PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1 # 1, YUV420SP NV12 8bit
|
||||||
|
PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2 # 2, YUV420SP NV21 8bit
|
||||||
|
PIXEL_FORMAT_YUV_SEMIPLANAR_422 = 3 # 3, YUV422SP NV12 8bit
|
||||||
|
PIXEL_FORMAT_YVU_SEMIPLANAR_422 = 4 # 4, YUV422SP NV21 8bit
|
||||||
|
PIXEL_FORMAT_YUV_SEMIPLANAR_444 = 5 # 5, YUV444SP NV12 8bit
|
||||||
|
PIXEL_FORMAT_YVU_SEMIPLANAR_444 = 6 # 6, YUV444SP NV21 8bit
|
||||||
|
PIXEL_FORMAT_YUYV_PACKED_422 = 7 # 7, YUV422P YUYV 8bit
|
||||||
|
PIXEL_FORMAT_UYVY_PACKED_422 = 8 # 8, YUV422P UYVY 8bit
|
||||||
|
PIXEL_FORMAT_YVYU_PACKED_422 = 9 # 9, YUV422P YVYU 8bit
|
||||||
|
PIXEL_FORMAT_VYUY_PACKED_422 = 10 # 10, YUV422P VYUY 8bit
|
||||||
|
PIXEL_FORMAT_YUV_PACKED_444 = 11 # 11, YUV444P 8bit
|
||||||
|
PIXEL_FORMAT_RGB_888 = 12 # 12, RGB888
|
||||||
|
PIXEL_FORMAT_BGR_888 = 13 # 13, BGR888
|
||||||
|
PIXEL_FORMAT_ARGB_8888 = 14 # 14, ARGB8888
|
||||||
|
PIXEL_FORMAT_ABGR_8888 = 15 # 15, ABGR8888
|
||||||
|
PIXEL_FORMAT_RGBA_8888 = 16 # 16, RGBA8888
|
||||||
|
PIXEL_FORMAT_BGRA_8888 = 17 # 17, BGRA8888
|
||||||
|
PIXEL_FORMAT_YUV_SEMI_PLANNER_420_10BIT = 18 # 18, YUV420SP 10bit
|
||||||
|
PIXEL_FORMAT_YVU_SEMI_PLANNER_420_10BIT = 19 # 19, YVU420sp 10bit
|
||||||
|
PIXEL_FORMAT_YVU_PLANAR_420 = 20 # 20, YUV420P 8bit
|
||||||
|
# images format
|
||||||
|
IMG_EXT = ['.jpg', '.JPG', '.png', '.PNG', '.bmp', '.BMP', '.jpeg', '.JPEG']
|
||||||
|
|
||||||
|
ENCODE_FORMAT_UNKNOW = 0
|
||||||
|
ENCODE_FORMAT_JPEG = 1
|
||||||
|
ENCODE_FORMAT_PNG = 2
|
||||||
|
ENCODE_FORMAT_YUV420_SP = 3
|
||||||
|
|
||||||
|
"""
|
||||||
|
enType 0
|
||||||
|
0 H265 main level
|
||||||
|
1 H264 baseline level
|
||||||
|
2 H264 main level
|
||||||
|
3 H264 high level
|
||||||
|
"""
|
||||||
|
ENTYPE_H265_MAIN = 0
|
||||||
|
ENTYPE_H264_BASE = 1
|
||||||
|
ENTYPE_H264_MAIN = 2
|
||||||
|
ENTYPE_H264_HIGH = 3
|
||||||
|
|
||||||
|
# h264 stream codec id
|
||||||
|
AV_CODEC_ID_H264 = 27
|
||||||
|
# h265 stream codec id
|
||||||
|
AV_CODEC_ID_HEVC = 173
|
||||||
|
# h264 baseline level
|
||||||
|
FF_PROFILE_H264_BASELINE = 66
|
||||||
|
# h264 main level profile
|
||||||
|
FF_PROFILE_H264_MAIN = 77
|
||||||
|
# h264 high level profile
|
||||||
|
FF_PROFILE_H264_HIGH = 100
|
||||||
|
# h265 main level profile
|
||||||
|
FF_PROFILE_HEVC_MAIN = 1
|
||||||
|
|
@ -0,0 +1,5 @@
|
||||||
|
红山开源风雷算例库原始网格获取百度网盘链接：
|
||||||
|
链接：http://pan.baidu.com/s/1aZ9cdkp6CkT9il4fEpnTcA
|
||||||
|
提取码：w47m
|
||||||
|
|
||||||
|
注：plot3D格式网格需同时下载.grd和.inp文件
|
||||||
Binary file not shown.
Binary file not shown.
Binary file not shown.
|
|
@ -0,0 +1,11 @@
|
||||||
|
1.758059999999999956e+00
|
||||||
|
2.000000000000000000e+00
|
||||||
|
2.439897850385851780e+04
|
||||||
|
2.807202554172891773e-01
|
||||||
|
1.568428388959923536e+00
|
||||||
|
3.252984655737341745e+04
|
||||||
|
6.350657835524052608e+00
|
||||||
|
8.335128990177707919e+00
|
||||||
|
2.718280000000000030e+00
|
||||||
|
9.912202386492101613e-01
|
||||||
|
8.296507258753202052e+01
|
||||||
|
|
@ -0,0 +1,11 @@
|
||||||
|
-3.161399999999999766e-01
|
||||||
|
1.000000000000000000e+00
|
||||||
|
6.785513369607711652e-09
|
||||||
|
-2.952159685173983972e-01
|
||||||
|
-1.570732481737654673e+00
|
||||||
|
9.089549089516115914e-08
|
||||||
|
0.000000000000000000e+00
|
||||||
|
0.000000000000000000e+00
|
||||||
|
3.849111030207388786e-03
|
||||||
|
-9.999999973001819642e-01
|
||||||
|
8.539709649871904494e-07
|
||||||
|
|
@ -0,0 +1,615 @@
|
||||||
|
# -*- coding: utf-8 -*-
|
||||||
|
"""
|
||||||
|
Created on Sun Nov 10 18:13:57 2019
|
||||||
|
|
||||||
|
@author: sun
|
||||||
|
|
||||||
|
Fortran 调用Python时的模块，包含一些必要的函数和类。如果需要改动增加新的函数与类，则需要写好之后重新
|
||||||
|
编译DLL，如果只是更改函数内部的处理方式，则不需要。
|
||||||
|
|
||||||
|
这个版本的程序传递过来的数据是最原始的流场变量数据，特征的构建和顺序需要在BuildFeatures函数里面完成
|
||||||
|
模型的预测赋值也直接在pred函数里面完成，所以一定不要改pred函数里面x的值，否则数据可能会传递不过去
|
||||||
|
这里只是不分区涡粘模型的写法，其他的类似
|
||||||
|
如果需要提高运行速度，一个优化策略是有选择性的取消属性访问，比如把np.vstack改为form numpy import vstack，而且要尽量使用局部变量
|
||||||
|
----2020.1.25s
|
||||||
|
|
||||||
|
调用华为om模型执行推理 2022.4.20
|
||||||
|
"""
|
||||||
|
import numpy as np
|
||||||
|
import time
|
||||||
|
import acl
|
||||||
|
|
||||||
|
import constants as const
|
||||||
|
import acllite_utils as utils
|
||||||
|
from acllite_logger import log_error, log_info, log_warning
|
||||||
|
from acllite_resource import resource_list, AclLiteResource
|
||||||
|
from omaclitemodel import AclLiteModel
|
||||||
|
|
||||||
|
from constant import ACL_MEM_MALLOC_HUGE_FIRST, \
|
||||||
|
ACL_MEMCPY_HOST_TO_DEVICE, ACL_MEMCPY_DEVICE_TO_HOST, \
|
||||||
|
NPY_FLOAT32, ACL_SUCCESS, NPY_FLOAT16,ACL_PROF_ACL_API, \
|
||||||
|
ACL_PROF_TASK_TIME, ACL_PROF_AICPU_TRACE, ACL_PROF_AICORE_METRICS, ACL_PROF_L2CACHE
|
||||||
|
|
||||||
|
buffer_method = {
|
||||||
|
"in": acl.mdl.get_input_size_by_index,
|
||||||
|
"out": acl.mdl.get_output_size_by_index
|
||||||
|
}
|
||||||
|
|
||||||
|
# create the dictionary mapping ctypes to np dtypes
|
||||||
|
|
||||||
|
ctype2dtype = {}
|
||||||
|
|
||||||
|
# Intertypes
|
||||||
|
for prefix in ('int', 'uint'):
|
||||||
|
for log_bytes in range(4):
|
||||||
|
ctype = '%s%d_t' % (prefix, 8 * (2 ** log_bytes))
|
||||||
|
dtype = '%s%d' % (prefix[0], 2 ** log_bytes)
|
||||||
|
ctype2dtype[ctype] = np.dtype(dtype)
|
||||||
|
|
||||||
|
# Floating point types
|
||||||
|
ctype2dtype['float'] = np.dtype('f4')
|
||||||
|
ctype2dtype['double'] = np.dtype('f8')
|
||||||
|
ctype2dtype['int'] = np.dtype('int32')
|
||||||
|
|
||||||
|
def check_ret(message, ret):
|
||||||
|
if ret != ACL_SUCCESS:
|
||||||
|
raise Exception("{} failed ret={}"
|
||||||
|
.format(message, ret))
|
||||||
|
|
||||||
|
def GetDataFromPointer(ffi, pointer):
|
||||||
|
"""
|
||||||
|
将指针的数据获取出来
|
||||||
|
"""
|
||||||
|
T = ffi.getctype(ffi.typeof(pointer).item)
|
||||||
|
value = np.frombuffer(ffi.buffer(pointer, ffi.sizeof(T)),
|
||||||
|
ctype2dtype[T])
|
||||||
|
value = value.item()
|
||||||
|
return value
|
||||||
|
|
||||||
|
class BFNet(object):
|
||||||
|
def __init__(self, device_id, model_path, model_path_2, model_path_3):
|
||||||
|
self.device_id = device_id # int
|
||||||
|
self.model_path = model_path # string
|
||||||
|
self.model_path_2 = model_path_2
|
||||||
|
self.model_path_3 = model_path_3
|
||||||
|
self.model_id = None # pointer
|
||||||
|
self.model_id_2 = None
|
||||||
|
self.model_id_3 = None
|
||||||
|
self.context = None # pointer
|
||||||
|
|
||||||
|
self.input_data = []
|
||||||
|
self.output_data = []
|
||||||
|
self.output_data_2 = []
|
||||||
|
self.output_data_3 = []
|
||||||
|
self.model_desc = None # pointer when using
|
||||||
|
self.model_desc_2 = None
|
||||||
|
self.model_desc_3 = None
|
||||||
|
self.load_input_dataset = None
|
||||||
|
self.load_output_dataset = None
|
||||||
|
self.load_output_dataset_2 = None
|
||||||
|
self.load_output_dataset_3 = None
|
||||||
|
self.prof_config = None
|
||||||
|
|
||||||
|
self.init_resource()
|
||||||
|
|
||||||
|
def __del__(self):
|
||||||
|
print("Releasing resources stage:")
|
||||||
|
ret = acl.mdl.unload(self.model_id)
|
||||||
|
# check_ret("acl.mdl.unload", ret)
|
||||||
|
ret = acl.mdl.unload(self.model_id_2)
|
||||||
|
# ret = acl.mdl.unload(self.model_id_3)
|
||||||
|
if self.model_desc:
|
||||||
|
acl.mdl.destroy_desc(self.model_desc)
|
||||||
|
self.model_desc = None
|
||||||
|
if self.model_desc_2:
|
||||||
|
acl.mdl.destroy_desc(self.model_desc_2)
|
||||||
|
self.model_desc_2 = None
|
||||||
|
if self.model_desc_3:
|
||||||
|
acl.mdl.destroy_desc(self.model_desc_3)
|
||||||
|
self.model_desc_3 = None
|
||||||
|
|
||||||
|
while self.input_data:
|
||||||
|
item = self.input_data.pop()
|
||||||
|
ret = acl.rt.free(item["buffer"])
|
||||||
|
# check_ret("acl.rt.free", ret)
|
||||||
|
|
||||||
|
while self.output_data:
|
||||||
|
item = self.output_data.pop()
|
||||||
|
ret = acl.rt.free(item["buffer"])
|
||||||
|
# check_ret("acl.rt.free", ret)
|
||||||
|
|
||||||
|
while self.output_data_2:
|
||||||
|
item = self.output_data_2.pop()
|
||||||
|
ret = acl.rt.free(item["buffer"])
|
||||||
|
# check_ret("acl.rt.free", ret)
|
||||||
|
|
||||||
|
while self.output_data_3:
|
||||||
|
item = self.output_data_3.pop()
|
||||||
|
ret = acl.rt.free(item["buffer"])
|
||||||
|
# check_ret("acl.rt.free", ret)
|
||||||
|
|
||||||
|
if self.context:
|
||||||
|
ret = acl.rt.destroy_context(self.context)
|
||||||
|
# check_ret("acl.rt.destroy_context", ret)
|
||||||
|
self.context = None
|
||||||
|
|
||||||
|
|
||||||
|
ret = acl.rt.reset_device(self.device_id)
|
||||||
|
# check_ret("acl.rt.reset_device", ret)
|
||||||
|
ret = acl.finalize()
|
||||||
|
# check_ret("acl.finalize", ret)
|
||||||
|
# print('Resources released successfully.')
|
||||||
|
|
||||||
|
def init_resource(self):
|
||||||
|
# print("init resource stage:")
|
||||||
|
ret = acl.init()
|
||||||
|
# check_ret("acl.init", ret)
|
||||||
|
ret = acl.rt.set_device(self.device_id)
|
||||||
|
# check_ret("acl.rt.set_device", ret)
|
||||||
|
|
||||||
|
self.context, ret = acl.rt.create_context(self.device_id)
|
||||||
|
# check_ret("acl.rt.create_context", ret)
|
||||||
|
|
||||||
|
# load_model
|
||||||
|
self.model_id, ret = acl.mdl.load_from_file(self.model_path)
|
||||||
|
# check_ret("acl.mdl.load_from_file", ret)
|
||||||
|
# print("model_id:{}".format(self.model_id))
|
||||||
|
|
||||||
|
self.model_id_2, ret = acl.mdl.load_from_file(self.model_path_2)
|
||||||
|
# check_ret("acl.mdl.load_from_file", ret)
|
||||||
|
# print("model_id_2:{}".format(self.model_id_2))
|
||||||
|
|
||||||
|
self.model_id_3, ret = acl.mdl.load_from_file(self.model_path_3)
|
||||||
|
check_ret("acl.mdl.load_from_file", ret)
|
||||||
|
# print("model_id_2:{}".format(self.model_id_2))
|
||||||
|
|
||||||
|
self.model_desc = acl.mdl.create_desc()
|
||||||
|
self._get_model_info()
|
||||||
|
|
||||||
|
self.model_desc_2 = acl.mdl.create_desc()
|
||||||
|
self._get_model_info_2()
|
||||||
|
|
||||||
|
self.model_desc_3 = acl.mdl.create_desc()
|
||||||
|
self._get_model_info_3()
|
||||||
|
# print("init resource success")
|
||||||
|
|
||||||
|
def _get_model_info(self,):
|
||||||
|
ret = acl.mdl.get_desc(self.model_desc, self.model_id)
|
||||||
|
# check_ret("acl.mdl.get_desc", ret)
|
||||||
|
input_size = acl.mdl.get_num_inputs(self.model_desc)
|
||||||
|
# print("input_size")
|
||||||
|
# print(input_size)
|
||||||
|
output_size = acl.mdl.get_num_outputs(self.model_desc)
|
||||||
|
# print("output_size")
|
||||||
|
# print(output_size)
|
||||||
|
self._gen_data_buffer(input_size, des="in")
|
||||||
|
self._gen_data_buffer(output_size, des="out")
|
||||||
|
|
||||||
|
def _get_model_info_2(self,):
|
||||||
|
ret = acl.mdl.get_desc(self.model_desc_2, self.model_id_2)
|
||||||
|
# check_ret("acl.mdl.get_desc", ret)
|
||||||
|
input_size = acl.mdl.get_num_inputs(self.model_desc_2)
|
||||||
|
# print("model_2_input_size")
|
||||||
|
# print(input_size)
|
||||||
|
output_size = acl.mdl.get_num_outputs(self.model_desc_2)
|
||||||
|
# print("model2_output_size")
|
||||||
|
# print(output_size)
|
||||||
|
# self._gen_data_buffer(input_size, des="in")
|
||||||
|
self._gen_data_buffer_2(output_size, des="out")
|
||||||
|
|
||||||
|
def _get_model_info_3(self,):
|
||||||
|
ret = acl.mdl.get_desc(self.model_desc_3, self.model_id_3)
|
||||||
|
# check_ret("acl.mdl.get_desc", ret)
|
||||||
|
input_size = acl.mdl.get_num_inputs(self.model_desc_3)
|
||||||
|
# print("model_3_input_size")
|
||||||
|
# print(input_size)
|
||||||
|
output_size = acl.mdl.get_num_outputs(self.model_desc_3)
|
||||||
|
# print("model_3_output_size")
|
||||||
|
# print(output_size)
|
||||||
|
# self._gen_data_buffer(input_size, des="in")
|
||||||
|
self._gen_data_buffer_3(output_size, des="out")
|
||||||
|
|
||||||
|
def _gen_data_buffer(self, size, des):
|
||||||
|
func = buffer_method[des]
|
||||||
|
for i in range(size):
|
||||||
|
# check temp_buffer dtype
|
||||||
|
temp_buffer_size = func(self.model_desc, i)
|
||||||
|
temp_buffer, ret = acl.rt.malloc(temp_buffer_size,
|
||||||
|
ACL_MEM_MALLOC_HUGE_FIRST)
|
||||||
|
# check_ret("acl.rt.malloc", ret)
|
||||||
|
|
||||||
|
if des == "in":
|
||||||
|
self.input_data.append({"buffer": temp_buffer,
|
||||||
|
"size": temp_buffer_size})
|
||||||
|
elif des == "out":
|
||||||
|
self.output_data.append({"buffer": temp_buffer,
|
||||||
|
"size": temp_buffer_size})
|
||||||
|
|
||||||
|
def _gen_data_buffer_2(self, size, des):
|
||||||
|
func = buffer_method[des]
|
||||||
|
for i in range(size):
|
||||||
|
# check temp_buffer dtype
|
||||||
|
temp_buffer_size = func(self.model_desc_2, i)
|
||||||
|
temp_buffer, ret = acl.rt.malloc(temp_buffer_size,
|
||||||
|
ACL_MEM_MALLOC_HUGE_FIRST)
|
||||||
|
# check_ret("acl.rt.malloc", ret)
|
||||||
|
#
|
||||||
|
# if des == "in":
|
||||||
|
# self.input_data.append({"buffer": temp_buffer,
|
||||||
|
# "size": temp_buffer_size})
|
||||||
|
# elif des == "out":
|
||||||
|
self.output_data_2.append({"buffer": temp_buffer,
|
||||||
|
"size": temp_buffer_size})
|
||||||
|
|
||||||
|
def _gen_data_buffer_3(self, size, des):
|
||||||
|
func = buffer_method[des]
|
||||||
|
for i in range(size):
|
||||||
|
# check temp_buffer dtype
|
||||||
|
temp_buffer_size = func(self.model_desc_3, i)
|
||||||
|
temp_buffer, ret = acl.rt.malloc(temp_buffer_size,
|
||||||
|
ACL_MEM_MALLOC_HUGE_FIRST)
|
||||||
|
# check_ret("acl.rt.malloc", ret)
|
||||||
|
#
|
||||||
|
# if des == "in":
|
||||||
|
# self.input_data.append({"buffer": temp_buffer,
|
||||||
|
# "size": temp_buffer_size})
|
||||||
|
# elif des == "out":
|
||||||
|
self.output_data_3.append({"buffer": temp_buffer,
|
||||||
|
"size": temp_buffer_size})
|
||||||
|
|
||||||
|
def _data_interaction(self, dataset, policy=ACL_MEMCPY_HOST_TO_DEVICE):
|
||||||
|
temp_data_buffer = self.input_data \
|
||||||
|
if policy == ACL_MEMCPY_HOST_TO_DEVICE \
|
||||||
|
else self.output_data_3
|
||||||
|
if len(dataset) == 0 and policy == ACL_MEMCPY_DEVICE_TO_HOST:
|
||||||
|
for item in self.output_data_3:
|
||||||
|
begin = time.time()
|
||||||
|
temp, ret = acl.rt.malloc_host(item["size"])
|
||||||
|
end = time.time()
|
||||||
|
# print(f"ACL_MEMCPY_HOST_TO_DEVICE malloc = {end-begin}")
|
||||||
|
# print("item[size]")
|
||||||
|
# print(item["size"])
|
||||||
|
if ret != 0:
|
||||||
|
raise Exception("can't malloc_host ret={}".format(ret))
|
||||||
|
dataset.append({"size": item["size"], "buffer": temp})
|
||||||
|
|
||||||
|
for i, item in enumerate(temp_data_buffer):
|
||||||
|
if policy == ACL_MEMCPY_HOST_TO_DEVICE:
|
||||||
|
# print(f"i is {i}")
|
||||||
|
a = item["size"]
|
||||||
|
# print(f"size is {a}")
|
||||||
|
# print(i)
|
||||||
|
# print(dataset.shape)
|
||||||
|
ptr,_ = acl.util.numpy_contiguous_to_ptr(dataset[i])
|
||||||
|
begin = time.time()
|
||||||
|
ret = acl.rt.memcpy(item["buffer"],
|
||||||
|
item["size"],
|
||||||
|
ptr,
|
||||||
|
item["size"],
|
||||||
|
policy)
|
||||||
|
end = time.time()
|
||||||
|
# print(f"ACL_MEMCPY_HOST_TO_DEVICE = {end-begin}")
|
||||||
|
check_ret("acl.rt.memcpy", ret)
|
||||||
|
|
||||||
|
else:
|
||||||
|
# print(f"i is {i}")
|
||||||
|
a = item["size"]
|
||||||
|
# print(f"size is {a}")
|
||||||
|
ptr = dataset[i]["buffer"]
|
||||||
|
begin = time.time()
|
||||||
|
ret = acl.rt.memcpy(ptr,
|
||||||
|
item["size"],
|
||||||
|
item["buffer"],
|
||||||
|
item["size"],
|
||||||
|
policy)
|
||||||
|
end = time.time()
|
||||||
|
# print(f"ACL_MEMCPY_DEVICE_TO_HOST = {end-begin}")
|
||||||
|
check_ret("acl.rt.memcpy", ret)
|
||||||
|
|
||||||
|
def _gen_dataset(self, type_str="in"):
|
||||||
|
dataset = acl.mdl.create_dataset()
|
||||||
|
|
||||||
|
temp_dataset = None
|
||||||
|
if type_str == "in":
|
||||||
|
self.load_input_dataset = dataset
|
||||||
|
temp_dataset = self.input_data
|
||||||
|
elif type_str == "out":
|
||||||
|
self.load_output_dataset = dataset
|
||||||
|
temp_dataset = self.output_data
|
||||||
|
elif type_str == "out2":
|
||||||
|
self.load_output_dataset_2 = dataset
|
||||||
|
temp_dataset = self.output_data_2
|
||||||
|
elif type_str == "out3":
|
||||||
|
self.load_output_dataset_3 = dataset
|
||||||
|
temp_dataset = self.output_data_3
|
||||||
|
|
||||||
|
for item in temp_dataset:
|
||||||
|
data = acl.create_data_buffer(item["buffer"], item["size"])
|
||||||
|
_, ret = acl.mdl.add_dataset_buffer(dataset, data)
|
||||||
|
|
||||||
|
if ret != ACL_SUCCESS:
|
||||||
|
ret = acl.destroy_data_buffer(data)
|
||||||
|
# check_ret("acl.destroy_data_buffer", ret)
|
||||||
|
|
||||||
|
def _data_from_host_to_device(self, images):
|
||||||
|
# print("data interaction from host to device")
|
||||||
|
# copy images to device
|
||||||
|
|
||||||
|
begin = time.time()
|
||||||
|
# print("images is ", images)
|
||||||
|
# print(len(images))
|
||||||
|
self._data_interaction(images, ACL_MEMCPY_HOST_TO_DEVICE)
|
||||||
|
|
||||||
|
end = time.time()
|
||||||
|
|
||||||
|
# print(f"_data_from_host_to_device = {end-begin}")
|
||||||
|
# load input data into model
|
||||||
|
self._gen_dataset("in")
|
||||||
|
# load output data into model
|
||||||
|
self._gen_dataset("out")
|
||||||
|
# load second output data into model
|
||||||
|
self._gen_dataset("out2")
|
||||||
|
# # load third output data into model
|
||||||
|
self._gen_dataset("out3")
|
||||||
|
# # print("data interaction from host to device success")
|
||||||
|
|
||||||
|
def _data_from_device_to_host(self):
|
||||||
|
# print("data interaction from device to host")
|
||||||
|
res = []
|
||||||
|
# copy device to host
|
||||||
|
begin = time.time()
|
||||||
|
|
||||||
|
self._data_interaction(res, ACL_MEMCPY_DEVICE_TO_HOST)
|
||||||
|
|
||||||
|
end = time.time()
|
||||||
|
|
||||||
|
# print(f"_data_from_device_to_host = {end-begin}")
|
||||||
|
# print("data interaction from device to host success")
|
||||||
|
# result = self.get_result(res,self.model_desc_3, NPY_FLOAT32)
|
||||||
|
result = self.get_result(res, self.model_desc_3, NPY_FLOAT32)
|
||||||
|
# self._print_result(result)
|
||||||
|
# free host memory
|
||||||
|
# for item in res:
|
||||||
|
# ptr = item['buffer']
|
||||||
|
# ret = acl.rt.free_host(ptr)
|
||||||
|
# check_ret('acl.rt.free_host', ret)
|
||||||
|
return result
|
||||||
|
def run(self, images):
|
||||||
|
start = time.time()
|
||||||
|
self._data_from_host_to_device(images)
|
||||||
|
end = time.time()
|
||||||
|
# print(f"_data_from_host_to_device = {end-start}")
|
||||||
|
# self.start_profile()
|
||||||
|
self.forward()
|
||||||
|
end2 = time.time()
|
||||||
|
# print(f"forward = {end2-end}")
|
||||||
|
# self.end_profile(self.prof_config)
|
||||||
|
result = self._data_from_device_to_host()
|
||||||
|
end3 = time.time()
|
||||||
|
# print(f"_data_from_device_to_host = {end3-end2}")
|
||||||
|
return result
|
||||||
|
|
||||||
|
def forward(self):
|
||||||
|
# print('execute stage:')
|
||||||
|
start = time.time()
|
||||||
|
ret = acl.mdl.execute(self.model_id, self.load_input_dataset, self.load_output_dataset)
|
||||||
|
end1 = time.time()
|
||||||
|
# print(f"first om time={end1 - start}")
|
||||||
|
# check_ret("acl.mdl.execute", ret)
|
||||||
|
# start = time.time()
|
||||||
|
ret = acl.mdl.execute(self.model_id_2, self.load_output_dataset, self.load_output_dataset_2)
|
||||||
|
end2 = time.time()
|
||||||
|
# print(f"second om time={end2 - end1}")
|
||||||
|
# check_ret("acl.mdl.execute", ret)
|
||||||
|
# start = time.time()
|
||||||
|
ret = acl.mdl.execute(self.model_id_3, self.load_output_dataset_2, self.load_output_dataset_3)
|
||||||
|
end3 = time.time()
|
||||||
|
# print(f"third om time={end3 - end2}")
|
||||||
|
# check_ret("acl.mdl.execute", ret)
|
||||||
|
self._destroy_databuffer()
|
||||||
|
# print('execute stage success')
|
||||||
|
|
||||||
|
def _print_result(self, result):
|
||||||
|
print(result)
|
||||||
|
|
||||||
|
def _destroy_databuffer(self):
|
||||||
|
# for dataset in [self.load_input_dataset, self.load_output_dataset, self.load_output_dataset_2, self.load_output_dataset_3]:
|
||||||
|
for dataset in [self.load_input_dataset, self.load_output_dataset, self.load_output_dataset_2, self.load_output_dataset_3]:
|
||||||
|
# for dataset in [self.load_input_dataset, self.load_output_dataset, self.load_output_dataset_2]:
|
||||||
|
if not dataset:
|
||||||
|
continue
|
||||||
|
number = acl.mdl.get_dataset_num_buffers(dataset)
|
||||||
|
for i in range(number):
|
||||||
|
data_buf = acl.mdl.get_dataset_buffer(dataset, i)
|
||||||
|
if data_buf:
|
||||||
|
ret = acl.destroy_data_buffer(data_buf)
|
||||||
|
# check_ret("acl.destroy_data_buffer", ret)
|
||||||
|
ret = acl.mdl.destroy_dataset(dataset)
|
||||||
|
# check_ret("acl.mdl.destroy_dataset", ret)
|
||||||
|
|
||||||
|
def get_result(self, output_data, model_desc, data_type):
|
||||||
|
result = []
|
||||||
|
dims, ret = acl.mdl.get_cur_output_dims(model_desc, 0)
|
||||||
|
# check_ret("acl.mdl.get_cur_output_dims", ret)
|
||||||
|
out_dim = dims['dims']
|
||||||
|
# print(tuple(out_dim))
|
||||||
|
for temp in output_data:
|
||||||
|
ptr = temp["buffer"]
|
||||||
|
# print(temp)
|
||||||
|
# 转化为float32类型的数据
|
||||||
|
data = acl.util.ptr_to_numpy(ptr, tuple(out_dim), data_type)
|
||||||
|
# print(data)
|
||||||
|
result.append(data)
|
||||||
|
return result
|
||||||
|
|
||||||
|
def asarray(ffi, x_ptr, shape1_ptr, shape2_ptr):
|
||||||
|
"""
|
||||||
|
x_ptr : Fortran传递过来的数组的地址
|
||||||
|
size_ptr : Fortran数组的大小的地址
|
||||||
|
因为传递过来的都是地址，因此需要先把地址中的数值取出来，才可以进行数据处理
|
||||||
|
"""
|
||||||
|
shape = [GetDataFromPointer(ffi, pointer) for pointer in (shape1_ptr,
|
||||||
|
shape2_ptr)]
|
||||||
|
length = np.prod(shape)
|
||||||
|
# Get the canonical C type of the elments of ptr as a string
|
||||||
|
T = ffi.getctype(ffi.typeof(x_ptr).item)
|
||||||
|
x = np.frombuffer(ffi.buffer(x_ptr, length * ffi.sizeof(T)),
|
||||||
|
ctype2dtype[T]).reshape(shape, order='C')
|
||||||
|
return x
|
||||||
|
|
||||||
|
def read_data(file_path):
|
||||||
|
with open(file_path, 'r') as f:
|
||||||
|
return np.array([float(x) for x in f.read().split()]).reshape(-1, 1)
|
||||||
|
|
||||||
|
class pythonmodel(object):
|
||||||
|
def __init__(self):
|
||||||
|
"""
|
||||||
|
类初始化
|
||||||
|
"""
|
||||||
|
self.sca_min = np.loadtxt('./model/sca_min.dat').reshape(-1, 1)
|
||||||
|
self.sca_max = np.loadtxt('./model/sca_max.dat').reshape(-1, 1)
|
||||||
|
self.temp = np.ones((1300000, 17))
|
||||||
|
self.model1_path = "./model/bf_op.om"
|
||||||
|
self.model2_path = "./model/model16.om"
|
||||||
|
self.model3_path = "./model/post_op.om"
|
||||||
|
self.flag = 0
|
||||||
|
print('model loaded!')
|
||||||
|
|
||||||
|
def modelInit(self, zone_id):
|
||||||
|
"""
|
||||||
|
om模型初始化
|
||||||
|
"""
|
||||||
|
self.dev_id = zone_id % 8
|
||||||
|
# self.DSTURB_min = dis_min
|
||||||
|
self.bfnet = BFNet(self.dev_id, self.model1_path, self.model2_path, self.model3_path)
|
||||||
|
|
||||||
|
def BuildFeatures(self, x):
|
||||||
|
"""
|
||||||
|
基于原始变量，构建模型需要的输入特征
|
||||||
|
x : 包含原始变量，依次为：Ru, U, V, W, P, Ux, Uy, Uz, Vx, Vy, Vz, Wx, Wy, Wz, Px, Py, Pz, x, y, z, dis, ma, aoa, re
|
||||||
|
"""
|
||||||
|
ma = x[:, -2]
|
||||||
|
self.Re = x[:, -1]
|
||||||
|
print(self.Re.shape)
|
||||||
|
# eps = 1e-13
|
||||||
|
# aoa = x[:, -2]
|
||||||
|
Ru, P = x[:, 0], x[:, 3] * ma ** 2
|
||||||
|
U, V = x[:, 1], x[:, 2]
|
||||||
|
Ux, Uy, Uz = x[:, 4], x[:, 5], x[:, 6]
|
||||||
|
Vx, Vy, Vz = x[:, 7], x[:, 8], x[:, 9]
|
||||||
|
Wx, Wy, Wz = x[:, 10], x[:, 11], x[:, 12]
|
||||||
|
# Px, Py, Pz = x[:, 14] * ma ** 2, x[:, 15] * ma ** 2, x[:, 16] * ma ** 2
|
||||||
|
Y = x[:, 13]
|
||||||
|
dis = x[:, 14]
|
||||||
|
self.dis = dis
|
||||||
|
|
||||||
|
# q1 = np.sqrt(U**2 + V**2 + W**2)
|
||||||
|
q1 = U # / np.sqrt(U**2 + V**2 + W**2)
|
||||||
|
# q1_2 = V / np.sqrt(U**2 + V**2 + W**2)
|
||||||
|
|
||||||
|
w1 = 0.5 * (Wy - Vz)
|
||||||
|
w2 = 0.5 * (Uz - Wx)
|
||||||
|
w3 = 0.5 * (Vx - Uy)
|
||||||
|
RF = np.sqrt(w1 ** 2 + w2 ** 2 + w3 ** 2)
|
||||||
|
# q2 = np.log(np.abs(RF) + 1.0)
|
||||||
|
|
||||||
|
q3 = (P / Ru ** 1.4) - 1.0
|
||||||
|
|
||||||
|
label = np.where(dis < 0.001, 1, 2)
|
||||||
|
|
||||||
|
sigY = np.sign(Y)
|
||||||
|
q5 = np.arctan(sigY * V / U)
|
||||||
|
|
||||||
|
S11 = Ux
|
||||||
|
S12 = 0.5 * (Uy + Vx)
|
||||||
|
S13 = 0.5 * (Uz + Wx)
|
||||||
|
S22 = Vy
|
||||||
|
S23 = 0.5 * (Vz + Wy)
|
||||||
|
S33 = Wz
|
||||||
|
SF = np.sqrt(S11 ** 2 + S12 ** 2 + S13 ** 2 + S22 ** 2 + S23 ** 2 + S33 ** 2)
|
||||||
|
# q7 = np.log(np.abs(SF) + 1.0)
|
||||||
|
|
||||||
|
q8 = dis ** 2 * RF * (1 - np.tanh(dis))
|
||||||
|
q9 = dis ** 2 * SF * (1 - np.tanh(dis))
|
||||||
|
|
||||||
|
Dref0 = 1.0 / np.sqrt(self.Re)
|
||||||
|
Dref1 = np.min([dis, Dref0], axis=0)
|
||||||
|
Dref2 = np.max([dis, Dref0], axis=0)
|
||||||
|
expfunc = 2.71828 ** (np.sqrt(Dref1 / (dis)))
|
||||||
|
q10 = expfunc * np.sqrt(Dref0 / (Dref2))
|
||||||
|
|
||||||
|
q11 = (RF ** 2 - SF ** 2) / (RF ** 2 + SF ** 2)
|
||||||
|
|
||||||
|
data = np.vstack((q1, label, RF, q3, q5, SF, q8, q9, q10, q11)).T # 输入特征顺序
|
||||||
|
|
||||||
|
col = data.shape[1]
|
||||||
|
x = (data - self.sca_min[0:col, 0]) / (self.sca_max[0:col, 0] - self.sca_min[0:col, 0])
|
||||||
|
return x
|
||||||
|
|
||||||
|
def GetFueatures(self, x):
|
||||||
|
ma = x[:, -3]
|
||||||
|
self.Re = x[:, -1]
|
||||||
|
aoa = x[:, -2]
|
||||||
|
Ru, P = x[:, 0], x[:, 3]
|
||||||
|
U, V = x[:, 1], x[:, 2]
|
||||||
|
Ux, Uy = x[:, 4], x[:, 5]
|
||||||
|
Vx, Vy = x[:, 6], x[:, 7]
|
||||||
|
Y, self.dis = x[:, 8], x[:, 9]
|
||||||
|
data = [ma, aoa, self.Re, self.dis, Ux, U, V, Uy, Vx, Vy, Y, P, Ru]
|
||||||
|
return data
|
||||||
|
|
||||||
|
def ACT(self, x, low, up, length):
|
||||||
|
"""
|
||||||
|
调用om模型预测涡粘
|
||||||
|
low: 归一化下界
|
||||||
|
up: 归一化上界
|
||||||
|
x: 输入特征，np.array格式
|
||||||
|
"""
|
||||||
|
x = x.astype(np.float32)
|
||||||
|
ptr, data_out = acl.util.numpy_contiguous_to_ptr(x)
|
||||||
|
pred = self.bfnet.run([data_out])[0]
|
||||||
|
pred = pred[0:length]
|
||||||
|
return pred
|
||||||
|
|
||||||
|
def Pred(self, x):
|
||||||
|
"""
|
||||||
|
模型预测涡粘
|
||||||
|
"""
|
||||||
|
start = time.time()
|
||||||
|
length = x.shape[0]
|
||||||
|
self.temp[0:length, :] = x[:, :]
|
||||||
|
low, up = 0.0, 1.0
|
||||||
|
pred = self.ACT(self.temp, low, up, length)
|
||||||
|
x[:, 0] = pred[:].copy()
|
||||||
|
end = time.time()
|
||||||
|
|
||||||
|
def post_op(pred, low, high) :
|
||||||
|
sca_min = np.loadtxt('./model/sca_min.dat').reshape(-1, )
|
||||||
|
sca_max = np.loadtxt('./model/sca_max.dat').reshape(-1, )
|
||||||
|
|
||||||
|
Re = 11710000
|
||||||
|
|
||||||
|
pred = np.clip(pred[:, 0], low, high).reshape(-1, 1)
|
||||||
|
|
||||||
|
mut_min = 8.539709649871904494e-07
|
||||||
|
mut_max = 8.296507258753202052e+01
|
||||||
|
pred = pred * (mut_max - mut_min) + mut_min
|
||||||
|
pred = pred * (Re / 1e6)
|
||||||
|
return pred
|
||||||
|
|
||||||
|
if __name__ == "__main__" :
|
||||||
|
|
||||||
|
model_2 = pythonmodel()
|
||||||
|
model_2.modelInit(5)
|
||||||
|
|
||||||
|
np.random.seed(4)
|
||||||
|
x = np.random.rand(1300000, 17).astype(np.float32)
|
||||||
|
y = x.copy()
|
||||||
|
model_2.Pred(y)
|
||||||
|
pred_2 = y[:, 0]
|
||||||
|
print("**********")
|
||||||
|
print(pred_2)
|
||||||
|
print(type(pred_2))
|
||||||
|
print(pred_2.mean())
|
||||||
|
print(pred_2.std())
|
||||||
|
print(pred_2.shape)
|
||||||
|
|
@ -0,0 +1,347 @@
|
||||||
|
"""
|
||||||
|
Copyright (R) @huawei.com, all rights reserved
|
||||||
|
-*- coding:utf-8 -*-
|
||||||
|
CREATED: 2020-6-04 20:12:13
|
||||||
|
MODIFIED: 2020-6-28 14:04:45
|
||||||
|
"""
|
||||||
|
import acl
|
||||||
|
import struct
|
||||||
|
import numpy as np
|
||||||
|
import datetime
|
||||||
|
import sys
|
||||||
|
import os
|
||||||
|
import time
|
||||||
|
#from tqdm import tqdm
|
||||||
|
|
||||||
|
import constants as const
|
||||||
|
import acllite_utils as utils
|
||||||
|
from acllite_logger import log_error, log_info, log_warning
|
||||||
|
from acllite_resource import resource_list, AclLiteResource
|
||||||
|
|
||||||
|
class AclLiteModel(object):
|
||||||
|
"""
|
||||||
|
wrap acl model inference interface, include input dataset construction,
|
||||||
|
execute, and output transform to numpy array
|
||||||
|
Attributes:
|
||||||
|
model_path: om offline mode file path
|
||||||
|
"""
|
||||||
|
|
||||||
|
def __init__(self, model_path):
|
||||||
|
self._run_mode, ret = acl.rt.get_run_mode()
|
||||||
|
utils.check_ret("acl.rt.get_run_mode", ret)
|
||||||
|
self._copy_policy = const.ACL_MEMCPY_DEVICE_TO_DEVICE
|
||||||
|
if self._run_mode == const.ACL_HOST:
|
||||||
|
self._copy_policy = const.ACL_MEMCPY_DEVICE_TO_HOST
|
||||||
|
|
||||||
|
self._model_path = model_path # string
|
||||||
|
self._model_id = None # pointer
|
||||||
|
self._input_num = 0
|
||||||
|
self._input_buffer = []
|
||||||
|
self._input_dataset = None
|
||||||
|
self._output_dataset = None
|
||||||
|
self._model_desc = None # pointer when using
|
||||||
|
self._output_size = 0
|
||||||
|
self._is_destroyed = False
|
||||||
|
self._init_resource()
|
||||||
|
resource_list.register(self)
|
||||||
|
|
||||||
|
def _init_resource(self):
|
||||||
|
log_info("Init model resource start...")
|
||||||
|
if not os.path.isfile(self._model_path):
|
||||||
|
log_error(
|
||||||
|
"model_path failed, please check. model_path=%s" %
|
||||||
|
self._model_path)
|
||||||
|
return const.FAILED
|
||||||
|
|
||||||
|
self._model_id, ret = acl.mdl.load_from_file(self._model_path)
|
||||||
|
print(self._model_id, ret)
|
||||||
|
utils.check_ret("acl.mdl.load_from_file", ret)
|
||||||
|
self._model_desc = acl.mdl.create_desc()
|
||||||
|
ret = acl.mdl.get_desc(self._model_desc, self._model_id)
|
||||||
|
utils.check_ret("acl.mdl.get_desc", ret)
|
||||||
|
# get outputs num of model
|
||||||
|
self._output_size = acl.mdl.get_num_outputs(self._model_desc)
|
||||||
|
# create output dataset
|
||||||
|
self._gen_output_dataset(self._output_size)
|
||||||
|
# recode input data address,if need malloc memory,the memory will be
|
||||||
|
# reuseable
|
||||||
|
self._init_input_buffer()
|
||||||
|
|
||||||
|
log_info("Init model resource success")
|
||||||
|
|
||||||
|
return const.SUCCESS
|
||||||
|
|
||||||
|
def _gen_output_dataset(self, ouput_num):
|
||||||
|
log_info("[AclLiteModel] create model output dataset:")
|
||||||
|
dataset = acl.mdl.create_dataset()
|
||||||
|
for i in range(ouput_num):
|
||||||
|
# malloc device memory for output
|
||||||
|
size = acl.mdl.get_output_size_by_index(self._model_desc, i)
|
||||||
|
buf, ret = acl.rt.malloc(size, const.ACL_MEM_MALLOC_NORMAL_ONLY)
|
||||||
|
utils.check_ret("acl.rt.malloc", ret)
|
||||||
|
# crate oputput data buffer
|
||||||
|
dataset_buffer = acl.create_data_buffer(buf, size)
|
||||||
|
_, ret = acl.mdl.add_dataset_buffer(dataset, dataset_buffer)
|
||||||
|
log_info("malloc output %d, size %d" % (i, size))
|
||||||
|
if ret:
|
||||||
|
acl.rt.free(buf)
|
||||||
|
acl.destroy_data_buffer(dataset_buffer)
|
||||||
|
utils.check_ret("acl.destroy_data_buffer", ret)
|
||||||
|
self._output_dataset = dataset
|
||||||
|
log_info("Create model output dataset success")
|
||||||
|
|
||||||
|
def _init_input_buffer(self):
|
||||||
|
self._input_num = acl.mdl.get_num_inputs(self._model_desc)
|
||||||
|
for i in range(self._input_num):
|
||||||
|
item = {"addr": None, "size": 0}
|
||||||
|
self._input_buffer.append(item)
|
||||||
|
|
||||||
|
def _gen_input_dataset(self, input_list):
|
||||||
|
ret = const.SUCCESS
|
||||||
|
if len(input_list) != self._input_num:
|
||||||
|
log_error("Current input data num %d unequal to model "
|
||||||
|
"input num %d" % (len(input_list), self._input_num))
|
||||||
|
return const.FAILED
|
||||||
|
|
||||||
|
self._input_dataset = acl.mdl.create_dataset()
|
||||||
|
for i in range(self._input_num):
|
||||||
|
item = input_list[i]
|
||||||
|
data, size = self._parse_input_data(item, i)
|
||||||
|
if (data is None) or (size == 0):
|
||||||
|
ret = const.FAILED
|
||||||
|
log_error("The %d input is invalid" % (i))
|
||||||
|
break
|
||||||
|
|
||||||
|
model_size = acl.mdl.get_input_size_by_index(self._model_desc, i)
|
||||||
|
if size != model_size:
|
||||||
|
log_warning(" Input[%d] size: %d not equal om size: %d" % (i, size, model_size) +\
|
||||||
|
", may cause inference result error, please check model input")
|
||||||
|
|
||||||
|
|
||||||
|
dataset_buffer = acl.create_data_buffer(data, size)
|
||||||
|
_, ret = acl.mdl.add_dataset_buffer(self._input_dataset,
|
||||||
|
dataset_buffer)
|
||||||
|
if ret:
|
||||||
|
log_error("Add input dataset buffer failed")
|
||||||
|
acl.destroy_data_buffer(self._input_dataset)
|
||||||
|
ret = const.FAILED
|
||||||
|
break
|
||||||
|
if ret == const.FAILED:
|
||||||
|
self._release_dataset(self._input_dataset)
|
||||||
|
self._input_dataset = None
|
||||||
|
|
||||||
|
return ret
|
||||||
|
|
||||||
|
def _parse_input_data(self, input_data, index):
|
||||||
|
data = None
|
||||||
|
size = 0
|
||||||
|
if isinstance(input_data, np.ndarray):
|
||||||
|
ptr = acl.util.numpy_to_ptr(input_data)
|
||||||
|
size = input_data.size * input_data.itemsize
|
||||||
|
data = self._copy_input_to_device(ptr, size, index)
|
||||||
|
if data is None:
|
||||||
|
size = 0
|
||||||
|
log_error("Copy input to device failed")
|
||||||
|
elif (isinstance(input_data, dict) and
|
||||||
|
('data' in input_data.keys()) and ('size' in input_data.keys())):
|
||||||
|
size = input_data['size']
|
||||||
|
data = input_data['data']
|
||||||
|
else:
|
||||||
|
log_error("Unsupport input")
|
||||||
|
|
||||||
|
return data, size
|
||||||
|
|
||||||
|
def _copy_input_to_device(self, input_ptr, size, index):
|
||||||
|
buffer_item = self._input_buffer[index]
|
||||||
|
data = None
|
||||||
|
if buffer_item['addr'] is None:
|
||||||
|
if self._run_mode == const.ACL_HOST:
|
||||||
|
data = utils.copy_data_host_to_device(input_ptr, size)
|
||||||
|
else:
|
||||||
|
data = utils.copy_data_device_to_device(input_ptr, size)
|
||||||
|
if data is None:
|
||||||
|
log_error("Malloc memory and copy model %dth "
|
||||||
|
"input to device failed" % (index))
|
||||||
|
return None
|
||||||
|
buffer_item['addr'] = data
|
||||||
|
buffer_item['size'] = size
|
||||||
|
elif size == buffer_item['size']:
|
||||||
|
if self._run_mode == const.ACL_HOST:
|
||||||
|
ret = acl.rt.memcpy(buffer_item['addr'], size,
|
||||||
|
input_ptr, size,
|
||||||
|
const.ACL_MEMCPY_HOST_TO_DEVICE)
|
||||||
|
else:
|
||||||
|
ret = acl.rt.memcpy(buffer_item['addr'], size,
|
||||||
|
input_ptr, size,
|
||||||
|
const.ACL_MEMCPY_DEVICE_TO_DEVICE)
|
||||||
|
if ret != const.ACL_SUCCESS:
|
||||||
|
log_error("Copy model %dth input to device failed" % (index))
|
||||||
|
return None
|
||||||
|
data = buffer_item['addr']
|
||||||
|
else:
|
||||||
|
log_error("The model %dth input size %d is change,"
|
||||||
|
" before is %d" % (index, size, buffer_item['size']))
|
||||||
|
return None
|
||||||
|
|
||||||
|
return data
|
||||||
|
|
||||||
|
def execute(self, input_list):
|
||||||
|
"""
|
||||||
|
inference input data
|
||||||
|
Args:
|
||||||
|
input_list: input data list, support AclLiteImage,
|
||||||
|
numpy array and {'data': ,'size':} dict
|
||||||
|
returns:
|
||||||
|
inference result data, which is a numpy array list,
|
||||||
|
each corresponse to a model output
|
||||||
|
"""
|
||||||
|
ret = self._gen_input_dataset(input_list)
|
||||||
|
if ret == const.FAILED:
|
||||||
|
log_error("Gen model input dataset failed")
|
||||||
|
return None
|
||||||
|
|
||||||
|
ret = acl.mdl.execute(self._model_id,
|
||||||
|
self._input_dataset,
|
||||||
|
self._output_dataset)
|
||||||
|
if ret != const.ACL_SUCCESS:
|
||||||
|
log_error("Execute model failed for acl.mdl.execute error ", ret)
|
||||||
|
return None
|
||||||
|
|
||||||
|
self._release_dataset(self._input_dataset)
|
||||||
|
self._input_dataset = None
|
||||||
|
|
||||||
|
return self._output_dataset_to_numpy()
|
||||||
|
|
||||||
|
def _output_dataset_to_numpy(self):
|
||||||
|
dataset = []
|
||||||
|
output_tensor_list = self._gen_output_tensor()
|
||||||
|
num = acl.mdl.get_dataset_num_buffers(self._output_dataset)
|
||||||
|
|
||||||
|
for i in range(num):
|
||||||
|
buf = acl.mdl.get_dataset_buffer(self._output_dataset, i)
|
||||||
|
data = acl.get_data_buffer_addr(buf)
|
||||||
|
size = int(acl.get_data_buffer_size(buf))
|
||||||
|
output_ptr = output_tensor_list[i]["ptr"]
|
||||||
|
output_tensor = output_tensor_list[i]["tensor"]
|
||||||
|
ret = acl.rt.memcpy(output_ptr,
|
||||||
|
output_tensor.size * output_tensor.itemsize,
|
||||||
|
data, size, self._copy_policy)
|
||||||
|
if ret != const.ACL_SUCCESS:
|
||||||
|
log_error("Memcpy inference output to local failed")
|
||||||
|
return None
|
||||||
|
|
||||||
|
dataset.append(output_tensor)
|
||||||
|
|
||||||
|
return dataset
|
||||||
|
|
||||||
|
def _gen_output_tensor(self):
|
||||||
|
output_tensor_list = []
|
||||||
|
for i in range(self._output_size):
|
||||||
|
dims = acl.mdl.get_output_dims(self._model_desc, i)
|
||||||
|
shape = tuple(dims[0]["dims"])
|
||||||
|
datatype = acl.mdl.get_output_data_type(self._model_desc, i)
|
||||||
|
size = acl.mdl.get_output_size_by_index(self._model_desc, i)
|
||||||
|
|
||||||
|
if datatype == const.ACL_FLOAT:
|
||||||
|
np_type = np.float32
|
||||||
|
output_tensor = np.zeros(
|
||||||
|
size // 4, dtype=np_type).reshape(shape)
|
||||||
|
elif datatype == const.ACL_INT32:
|
||||||
|
np_type = np.int32
|
||||||
|
output_tensor = np.zeros(
|
||||||
|
size // 4, dtype=np_type).reshape(shape)
|
||||||
|
elif datatype == const.ACL_UINT32:
|
||||||
|
np_type = np.uint32
|
||||||
|
output_tensor = np.zeros(
|
||||||
|
size // 4, dtype=np_type).reshape(shape)
|
||||||
|
elif datatype == const.ACL_FLOAT16:
|
||||||
|
np_type = np.float16
|
||||||
|
output_tensor = np.zeros(
|
||||||
|
size // 2, dtype=np_type).reshape(shape)
|
||||||
|
elif datatype == const.ACL_BOOL or datatype == const.ACL_UINT8:
|
||||||
|
np_type = np.uint8
|
||||||
|
output_tensor = np.zeros(
|
||||||
|
size, dtype=np_type).reshape(shape)
|
||||||
|
else:
|
||||||
|
print("Unspport model output datatype ", datatype)
|
||||||
|
return None
|
||||||
|
|
||||||
|
if not output_tensor.flags['C_CONTIGUOUS']:
|
||||||
|
output_tensor = np.ascontiguousarray(output_tensor)
|
||||||
|
|
||||||
|
tensor_ptr = acl.util.numpy_to_ptr(output_tensor)
|
||||||
|
output_tensor_list.append({"ptr": tensor_ptr,
|
||||||
|
"tensor": output_tensor})
|
||||||
|
|
||||||
|
return output_tensor_list
|
||||||
|
|
||||||
|
def _release_dataset(self, dataset, free_memory=False):
|
||||||
|
if not dataset:
|
||||||
|
return
|
||||||
|
|
||||||
|
num = acl.mdl.get_dataset_num_buffers(dataset)
|
||||||
|
for i in range(num):
|
||||||
|
data_buf = acl.mdl.get_dataset_buffer(dataset, i)
|
||||||
|
if data_buf:
|
||||||
|
self._release_databuffer(data_buf, free_memory)
|
||||||
|
|
||||||
|
ret = acl.mdl.destroy_dataset(dataset)
|
||||||
|
if ret != const.ACL_SUCCESS:
|
||||||
|
log_error("Destroy data buffer error ", ret)
|
||||||
|
|
||||||
|
def _release_databuffer(self, data_buffer, free_memory=False):
|
||||||
|
if free_memory:
|
||||||
|
data_addr = acl.get_data_buffer_addr(data_buffer)
|
||||||
|
if data_addr:
|
||||||
|
acl.rt.free(data_addr)
|
||||||
|
|
||||||
|
ret = acl.destroy_data_buffer(data_buffer)
|
||||||
|
if ret != const.ACL_SUCCESS:
|
||||||
|
log_error("Destroy data buffer error ", ret)
|
||||||
|
|
||||||
|
def destroy(self):
|
||||||
|
"""
|
||||||
|
release resource of model inference
|
||||||
|
Args:
|
||||||
|
null
|
||||||
|
Returns:
|
||||||
|
null
|
||||||
|
"""
|
||||||
|
if self._is_destroyed:
|
||||||
|
return
|
||||||
|
|
||||||
|
self._release_dataset(self._output_dataset, free_memory=True)
|
||||||
|
if self._model_id:
|
||||||
|
ret = acl.mdl.unload(self._model_id)
|
||||||
|
if ret != const.ACL_SUCCESS:
|
||||||
|
log_info("acl.mdl.unload error:", ret)
|
||||||
|
|
||||||
|
if self._model_desc:
|
||||||
|
ret = acl.mdl.destroy_desc(self._model_desc)
|
||||||
|
if ret != const.ACL_SUCCESS:
|
||||||
|
log_info("acl.mdl.destroy_desc error:", ret)
|
||||||
|
|
||||||
|
self._is_destroyed = True
|
||||||
|
resource_list.unregister(self)
|
||||||
|
log_info("AclLiteModel release source success")
|
||||||
|
|
||||||
|
def __del__(self):
|
||||||
|
self.destroy()
|
||||||
|
|
||||||
|
'''
|
||||||
|
# 初始化模型
|
||||||
|
model_path = './model/model.om'
|
||||||
|
acl_resource = AclLiteResource()
|
||||||
|
acl_resource.init()
|
||||||
|
model = AclLiteModel(model_path)
|
||||||
|
data = np.load('./data/data.npy').astype(np.float32)
|
||||||
|
x = data[:, 0:8].copy()
|
||||||
|
ptr = acl.util.numpy_to_ptr(x)
|
||||||
|
y = data[:, -1]
|
||||||
|
pred = model.execute([x])[0][:, 0]
|
||||||
|
mse = mean_squared_error(y, pred)
|
||||||
|
r2 = r2_score(y, pred)
|
||||||
|
print("---------")
|
||||||
|
print(f"mse = {mse}")
|
||||||
|
print(f"r2 = {r2}")
|
||||||
|
'''
|
||||||
Loading…
Reference in New Issue