Open
Description
I use tensorboard of version 1.14 which has a new plugin--"mesh", to display points cloud. But nothing can be displayed.
The dashboard maintains blank, but the title of the summary is displayed. I have tried to add as few as possible points into the summary file to exclude the probablity of overload. I also tried to write another summary file with only a scalar inside, then put it into the same directory, and it is displayed successfully.
Environment information (required)
Ubuntu 19.04
pip install tf-nightly
Diagnostics
--- check: autoidentify
INFO: diagnose_tensorboard.py version e093841ffaea564cb2410e0b430bd0c552ada208
--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=6, micro=8, releaselevel='final', serial=0)
INFO: os.name: posix
INFO: os.uname(): posix.uname_result(sysname='Linux', nodename='YU', release='5.0.0-15-generic', version='#16-Ubuntu SMP Mon May 6 17:41:33 UTC 2019', machine='x86_64')
INFO: sys.getwindowsversion(): N/A
--- check: package_management
INFO: has conda-meta: True
INFO: $VIRTUAL_ENV: None
--- check: installed_packages
INFO: installed: tb-nightly==1.14.0a20190605
INFO: installed: tf-nightly==1.14.1.dev20190605
INFO: installed: tf-estimator-nightly==1.14.0.dev2019060601
--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '1.14.0a20190605'
--- check: tensorflow_python_version
INFO: tensorflow.__version__: '1.14.1-dev20190605'
INFO: tensorflow.__git_version__: 'v1.12.1-3374-g9eb67b17bf'
--- check: tensorboard_binary_path
INFO: which tensorboard: b'/home/yu/anaconda3/envs/display/bin/tensorboard\n'
--- check: readable_fqdn
INFO: socket.getfqdn(): 'YU'
--- check: stat_tensorboardinfo
INFO: directory: /tmp/.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=4198242, st_dev=2049, st_nlink=2, st_uid=1000, st_gid=1000, st_size=4096, st_atime=1559826037, st_mtime=1559826087, st_ctime=1559826087)
INFO: mode: 0o40777
--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.7.1
astor==0.8.0
certifi==2019.3.9
gast==0.2.2
google-pasta==0.1.7
grpcio==1.21.1
h5py==2.9.0
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
Markdown==3.1.1
numpy==1.16.4
pip==19.1.1
protobuf==3.8.0
setuptools==41.0.1
six==1.12.0
tb-nightly==1.14.0a20190605
termcolor==1.1.0
tf-estimator-nightly==1.14.0.dev2019060601
tf-nightly==1.14.1.dev20190605
Werkzeug==0.15.4
wheel==0.33.4
wrapt==1.11.1
End of diagnostics.
https://github.com/raw/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py
Steps to reproduce (required)
1. entire test code:
import tensorflow as tf
from tensorboard.plugins.mesh import summary as mesh_summary
points=tf.random.normal([1, 20, 3], 0, 1)
meshes_summary = mesh_summary.op('new_points', vertices=points)
writer = tf.summary.FileWriter('/PycharmProjects/tfgraphics_test/data')
with tf.Session() as sess:
summaries = sess.run(meshes_summary)
writer.add_summary(summaries)
2. command line:
cd /PycharmProjects/tfgraphics_test/data
conda activate tf1.14
tensorboard --logdir=.
