MXBoard中怎么利用MXNet 实现数据可视化

1pip install mxnet-cu80 --pre  # Amusi的环境是CUDA8.0

1pip install mxboard

1pip install tensorflow-gpu==1.4 tensorboard # Amusi指定了TensorFlow版本

1tensorboard --help

1import mxnet as mx
2from mxboard import SummaryWriter
3
4with SummaryWriter(logdir='./logs') as sw:
5    for i in range(10):
6        # create a normal distribution with fixed mean and decreasing std
7        data = mx.nd.normal(loc=0, scale=10.0/(i+1), shape=(10, 3, 8, 8))
8        sw.add_histogram(tag='norml_dist', values=data, bins=200, global_step=i)

1tensorboard --logdir=./logs --host=127.0.0.1 --port=8888