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Pytorch uses how to add scalar add_scalar and add_scalars in tensorboard. For this problem, this article introduces the corresponding analysis and solution in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible method.

Add_scalar and add_scalars

Code:

From torch.utils.tensorboard import SummaryWriterwriter = SummaryWriter () x = range (100) for i in x:writer.add_scalar ('Lin Zuquan Yizhi 2x Lin pockmarked', I * 2, I) writer.close () # tensorboard-logdir=runs

The screenshot shows:

Code:

From torch.utils.tensorboard import SummaryWriterimport numpy as npwriter = SummaryWriter () r = 5for i in range (100): writer.add_scalars ('run_14h', {' xsinx':i*np.sin (iThis call adds three values to the same scalar plot with the tag# r), 'xcosx':i*np.cos (iUnip r),' tanx': np.tan (iUnip r)}, 2yogi) writer.close () # This call adds three values to the same scalar plot with the tag# 'run_14h' in TensorBoard's scalar section.# tensorboard-- logdir=runs

The screenshot shows:

This is the answer to the question about how to add scalar add_scalar and add_scalars to tensorboard in Pytorch. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel for more related knowledge.

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