| | import argparse
|
| | import sys
|
| | import torch
|
| | from multiprocessing import cpu_count
|
| |
|
| | class Config:
|
| | def __init__(self):
|
| | self.device = "cuda:0"
|
| | self.is_half = True
|
| | self.n_cpu = 0
|
| | self.gpu_name = None
|
| | self.gpu_mem = None
|
| | (
|
| | self.colab,
|
| | self.api,
|
| | ) = self.arg_parse()
|
| | self.x_pad, self.x_query, self.x_center, self.x_max = self.device_config()
|
| |
|
| | @staticmethod
|
| | def arg_parse() -> tuple:
|
| | parser = argparse.ArgumentParser()
|
| | parser.add_argument("--colab", action="store_true", help="Launch in colab")
|
| | parser.add_argument("--api", action="store_true", help="Launch with api")
|
| | cmd_opts = parser.parse_args()
|
| |
|
| | return (
|
| | cmd_opts.colab,
|
| | cmd_opts.api
|
| | )
|
| |
|
| |
|
| |
|
| | @staticmethod
|
| | def has_mps() -> bool:
|
| | if not torch.backends.mps.is_available():
|
| | return False
|
| | try:
|
| | torch.zeros(1).to(torch.device("mps"))
|
| | return True
|
| | except Exception:
|
| | return False
|
| |
|
| | def device_config(self) -> tuple:
|
| | if torch.cuda.is_available():
|
| | i_device = int(self.device.split(":")[-1])
|
| | self.gpu_name = torch.cuda.get_device_name(i_device)
|
| | if (
|
| | ("16" in self.gpu_name and "V100" not in self.gpu_name.upper())
|
| | or "P40" in self.gpu_name.upper()
|
| | or "1060" in self.gpu_name
|
| | or "1070" in self.gpu_name
|
| | or "1080" in self.gpu_name
|
| | ):
|
| | print("INFO: Found GPU", self.gpu_name, ", force to fp32")
|
| | self.is_half = False
|
| | else:
|
| | print("INFO: Found GPU", self.gpu_name)
|
| | self.gpu_mem = int(
|
| | torch.cuda.get_device_properties(i_device).total_memory
|
| | / 1024
|
| | / 1024
|
| | / 1024
|
| | + 0.4
|
| | )
|
| | elif self.has_mps():
|
| | print("INFO: No supported Nvidia GPU found, use MPS instead")
|
| | self.device = "mps"
|
| | self.is_half = False
|
| | else:
|
| | print("INFO: No supported Nvidia GPU found, use CPU instead")
|
| | self.device = "cpu"
|
| | self.is_half = False
|
| |
|
| | if self.n_cpu == 0:
|
| | self.n_cpu = cpu_count()
|
| |
|
| | if self.is_half:
|
| |
|
| | x_pad = 3
|
| | x_query = 10
|
| | x_center = 60
|
| | x_max = 65
|
| | else:
|
| |
|
| | x_pad = 1
|
| | x_query = 6
|
| | x_center = 38
|
| | x_max = 41
|
| |
|
| | if self.gpu_mem != None and self.gpu_mem <= 4:
|
| | x_pad = 1
|
| | x_query = 5
|
| | x_center = 30
|
| | x_max = 32
|
| |
|
| | return x_pad, x_query, x_center, x_max
|
| |
|
