parent
5b9265d4a9
commit
f637bb8788
51
config.py
51
config.py
@ -1,3 +1,4 @@
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import os
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import argparse
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import sys
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import torch
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@ -35,11 +36,13 @@ class Config:
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self.iscolab,
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self.noparallel,
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self.noautoopen,
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self.dml
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) = self.arg_parse()
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self.instead=""
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self.instead = ""
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self.x_pad, self.x_query, self.x_center, self.x_max = self.device_config()
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def arg_parse(self) -> tuple:
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@staticmethod
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def arg_parse() -> tuple:
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exe = sys.executable or "python"
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parser = argparse.ArgumentParser()
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parser.add_argument("--port", type=int, default=7865, help="Listen port")
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@ -61,13 +64,14 @@ class Config:
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cmd_opts = parser.parse_args()
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cmd_opts.port = cmd_opts.port if 0 <= cmd_opts.port <= 65535 else 7865
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self.dml=cmd_opts.dml
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return (
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cmd_opts.pycmd,
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cmd_opts.port,
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cmd_opts.colab,
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cmd_opts.noparallel,
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cmd_opts.noautoopen,
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cmd_opts.dml
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)
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# has_mps is only available in nightly pytorch (for now) and MasOS 12.3+.
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@ -112,12 +116,12 @@ class Config:
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f.write(strr)
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elif self.has_mps():
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print("No supported Nvidia GPU found")
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self.device = self.instead="mps"
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self.device = self.instead = "mps"
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self.is_half = False
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use_fp32_config()
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else:
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print("No supported Nvidia GPU found")
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self.device = self.instead="cpu"
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self.device = self.instead = "cpu"
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self.is_half = False
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use_fp32_config()
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@ -137,25 +141,34 @@ class Config:
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x_center = 38
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x_max = 41
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if self.gpu_mem != None and self.gpu_mem <= 4:
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if self.gpu_mem is not None and self.gpu_mem <= 4:
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x_pad = 1
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x_query = 5
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x_center = 30
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x_max = 32
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if(self.dml==True):
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if self.dml:
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print("use DirectML instead")
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try:os.rename("runtime\Lib\site-packages\onnxruntime","runtime\Lib\site-packages\onnxruntime-cuda")
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except:pass
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try:os.rename("runtime\Lib\site-packages\onnxruntime-dml","runtime\Lib\site-packages\onnxruntime")
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except:pass
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try:
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os.rename("runtime\Lib\site-packages\onnxruntime","runtime\Lib\site-packages\onnxruntime-cuda")
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except:
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pass
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try:
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os.rename("runtime\Lib\site-packages\onnxruntime-dml","runtime\Lib\site-packages\onnxruntime")
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except:
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pass
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import torch_directml
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self.device= torch_directml.device(torch_directml.default_device())
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self.is_half=False
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self.device = torch_directml.device(torch_directml.default_device())
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self.is_half = False
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else:
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if(self.instead):
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print("use %s instead"%self.instead)
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try:os.rename("runtime\Lib\site-packages\onnxruntime","runtime\Lib\site-packages\onnxruntime-cuda")
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except:pass
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try:os.rename("runtime\Lib\site-packages\onnxruntime-dml","runtime\Lib\site-packages\onnxruntime")
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except:pass
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if self.instead:
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print(f"use {self.instead} instead")
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try:
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os.rename("runtime\Lib\site-packages\onnxruntime","runtime\Lib\site-packages\onnxruntime-cuda")
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except:
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pass
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try:
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os.rename("runtime\Lib\site-packages\onnxruntime-dml","runtime\Lib\site-packages\onnxruntime")
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except:
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pass
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return x_pad, x_query, x_center, x_max
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