glenn-jocher commited on
Commit
1b1ab4c
1 Parent(s): 646386f

Add file_size() function (#2911)

Browse files

* Add file_size() function

* Update export.py

Files changed (2) hide show
  1. models/export.py +5 -4
  2. utils/general.py +5 -0
models/export.py CHANGED
@@ -17,7 +17,7 @@ from torch.utils.mobile_optimizer import optimize_for_mobile
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  import models
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  from models.experimental import attempt_load
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  from utils.activations import Hardswish, SiLU
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- from utils.general import colorstr, check_img_size, check_requirements, set_logging
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  from utils.torch_utils import select_device
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  if __name__ == '__main__':
@@ -60,6 +60,7 @@ if __name__ == '__main__':
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  model.model[-1].export = not opt.grid # set Detect() layer grid export
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  for _ in range(2):
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  y = model(img) # dry runs
 
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  # TorchScript export -----------------------------------------------------------------------------------------------
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  prefix = colorstr('TorchScript:')
@@ -69,7 +70,7 @@ if __name__ == '__main__':
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  ts = torch.jit.trace(model, img, strict=False)
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  ts = optimize_for_mobile(ts) # https://pytorch.org/tutorials/recipes/script_optimized.html
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  ts.save(f)
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- print(f'{prefix} export success, saved as {f}')
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  except Exception as e:
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  print(f'{prefix} export failure: {e}')
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@@ -103,7 +104,7 @@ if __name__ == '__main__':
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  onnx.save(model_onnx, f)
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  except Exception as e:
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  print(f'{prefix} simplifier failure: {e}')
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- print(f'{prefix} export success, saved as {f}')
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  except Exception as e:
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  print(f'{prefix} export failure: {e}')
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@@ -117,7 +118,7 @@ if __name__ == '__main__':
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  model = ct.convert(ts, inputs=[ct.ImageType(name='image', shape=img.shape, scale=1 / 255.0, bias=[0, 0, 0])])
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  f = opt.weights.replace('.pt', '.mlmodel') # filename
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  model.save(f)
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- print(f'{prefix} export success, saved as {f}')
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  except Exception as e:
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  print(f'{prefix} export failure: {e}')
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  import models
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  from models.experimental import attempt_load
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  from utils.activations import Hardswish, SiLU
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+ from utils.general import colorstr, check_img_size, check_requirements, file_size, set_logging
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  from utils.torch_utils import select_device
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  if __name__ == '__main__':
 
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  model.model[-1].export = not opt.grid # set Detect() layer grid export
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  for _ in range(2):
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  y = model(img) # dry runs
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+ print(f"\n{colorstr('PyTorch:')} starting from {opt.weights} ({file_size(opt.weights):.1f} MB)")
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  # TorchScript export -----------------------------------------------------------------------------------------------
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  prefix = colorstr('TorchScript:')
 
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  ts = torch.jit.trace(model, img, strict=False)
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  ts = optimize_for_mobile(ts) # https://pytorch.org/tutorials/recipes/script_optimized.html
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  ts.save(f)
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+ print(f'{prefix} export success, saved as {f} ({file_size(f):.1f} MB)')
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  except Exception as e:
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  print(f'{prefix} export failure: {e}')
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104
  onnx.save(model_onnx, f)
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  except Exception as e:
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  print(f'{prefix} simplifier failure: {e}')
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+ print(f'{prefix} export success, saved as {f} ({file_size(f):.1f} MB)')
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  except Exception as e:
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  print(f'{prefix} export failure: {e}')
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118
  model = ct.convert(ts, inputs=[ct.ImageType(name='image', shape=img.shape, scale=1 / 255.0, bias=[0, 0, 0])])
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  f = opt.weights.replace('.pt', '.mlmodel') # filename
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  model.save(f)
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+ print(f'{prefix} export success, saved as {f} ({file_size(f):.1f} MB)')
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  except Exception as e:
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  print(f'{prefix} export failure: {e}')
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utils/general.py CHANGED
@@ -61,6 +61,11 @@ def emojis(str=''):
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  return str.encode().decode('ascii', 'ignore') if platform.system() == 'Windows' else str
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  def check_online():
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  # Check internet connectivity
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  import socket
 
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  return str.encode().decode('ascii', 'ignore') if platform.system() == 'Windows' else str
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63
 
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+ def file_size(file):
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+ # Return file size in MB
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+ return Path(file).stat().st_size / 1e6
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+
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+
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  def check_online():
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  # Check internet connectivity
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  import socket