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Duplicated from  heerjtdev/layout_latex

deepkansara-123

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layout_late

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Runtime error

• "torch.FloatStorage",
• "torch.nn.modules.activation.SiLU",
• "torch.nn.modules.container.ModuleList",
• "torch.Size",
• "torch.nn.modules.upsampling.Upsample",
• "__builtin__.set",
• "ultralytics.nn.modules.conv.Conv",
• "ultralytics.nn.tasks.DetectionModel",
• "ultralytics.nn.modules.conv.Concat",
• "torch.LongStorage",
• "torch.nn.modules.pooling.MaxPool2d",
• "ultralytics.nn.modules.block.C2f",
• "ultralytics.nn.modules.block.SPPF",
• "ultralytics.nn.modules.block.DFL",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.conv.Conv2d",
• "torch.HalfStorage",
• "torch.nn.modules.container.Sequential",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "ultralytics.nn.modules.head.Detect",
• "ultralytics.nn.modules.block.Bottleneck"

How to fix it?

• "numpy.core.multiarray.scalar",
• "sklearn.isotonic.IsotonicRegression",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "sklearn.svm._classes.LinearSVC",
• "sklearn.calibration._CalibratedClassifier",
• "sklearn.calibration.CalibratedClassifierCV",
• "numpy.dtype"

How to fix it?

• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.core.multiarray.scalar",
• "numpy.float64",
• "numpy.core.multiarray._reconstruct",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "numpy.ndarray",
• "numpy.dtype"

How to fix it?