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@@ -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.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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@@ -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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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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@@ -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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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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@@ -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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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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@@ -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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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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