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This article mainly explains "the method of using tensorboard in Pytorch". The content of the explanation is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn "the method of using tensorboard in Pytorch".

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From torch.utils.tensorboard import SummaryWriterimport torchvertices_tensor = torch.as_tensor ([[1, 1, 1], [- 1,-1], [1,-1,-1], [- 1,-1],], dtype=torch.float) .unsqueeze (0) colors_tensor = torch.as_tensor ([255,0,0], [0,255,0], [0,0,255], [255,0,255],] Dtype=torch.int) .unsqueeze (0) faces_tensor = torch.as_tensor ([[0,2,3], [0,3,1], [0,1,2], [1,3,2],], dtype=torch.int) .unsqueeze (0) writer = SummaryWriter () writer.add_mesh ('my_mesh', vertices=vertices_tensor, colors=colors_tensor, faces=faces_tensor) writer.close () # tensorboard-logdir=runs

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