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Eager execution with TensorBoard Beholder

See original GitHub issue

Environment information

Diagnostics

Diagnostics output

--- check: autoidentify
INFO: diagnose_tensorboard.py version 4757bed82ecd75d96baf8210f75638afd2e07c63

--- 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='Darwin', nodename='SumanthRatnasAir', release='19.2.0', version='Darwin Kernel Version 19.2.0: Wed Nov 13 22:22:44 PST 2019; root:xnu-6153.61.1~26/RELEASE_X86_64', machine='x86_64')
INFO: sys.getwindowsversion(): N/A

--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: '/Users/suman/.local/share/virtualenvs/mlencrypt-research-PwGoqeJm'

--- check: installed_packages
INFO: installed: tensorboard==2.0.2
INFO: installed: tensorflow==2.0.0
INFO: installed: tensorflow-estimator==2.0.1

--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '2.0.2'

--- check: tensorflow_python_version
INFO: tensorflow.__version__: '2.0.0'
INFO: tensorflow.__git_version__: 'v2.0.0-rc2-26-g64c3d382ca'

--- check: tensorboard_binary_path
INFO: which tensorboard: b'/Users/suman/.local/share/virtualenvs/mlencrypt-research-PwGoqeJm/bin/tensorboard\n'

--- check: addrinfos
socket.has_ipv6 = True
socket.AF_UNSPEC = <AddressFamily.AF_UNSPEC: 0>
socket.SOCK_STREAM = <SocketKind.SOCK_STREAM: 1>
socket.AI_ADDRCONFIG = <AddressInfo.AI_ADDRCONFIG: 1024>
socket.AI_PASSIVE = <AddressInfo.AI_PASSIVE: 1>
Loopback flags: <AddressInfo.AI_ADDRCONFIG: 1024>
Loopback infos: [(<AddressFamily.AF_INET6: 30>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('::1', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('127.0.0.1', 0))]
Wildcard flags: <AddressInfo.AI_PASSIVE: 1>
Wildcard infos: [(<AddressFamily.AF_INET6: 30>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('::', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('0.0.0.0', 0))]

--- check: readable_fqdn
INFO: socket.getfqdn(): 'SumanthRatnasAir'

--- check: stat_tensorboardinfo
INFO: directory: /var/folders/j8/_wc022w91rvctlq5_t8xqcvc0000gn/T/.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=63401941, st_dev=16777220, st_nlink=2, st_uid=501, st_gid=20, st_size=64, st_atime=1575740073, st_mtime=1575759927, st_ctime=1575759927)
INFO: mode: 0o40777

--- check: source_trees_without_genfiles
INFO: tensorboard_roots (1): ['/Users/suman/.local/share/virtualenvs/mlencrypt-research-PwGoqeJm/lib/python3.6/site-packages']; bad_roots (0): []

--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.8.1
astor==0.8.0
cachetools==3.1.1
certifi==2019.11.28
cffi==1.13.2
chardet==3.0.4
Click==7.0
cryptography==2.8
cycler==0.10.0
gast==0.2.2
google-auth==1.7.2
google-auth-oauthlib==0.4.1
google-pasta==0.1.8
grpcio==1.25.0
h5py==2.10.0
idna==2.8
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.1.1
matplotlib==3.1.2
mlencrypt==0.1
numpy==1.17.4
oauthlib==3.1.0
opt-einsum==3.1.0
pandas==0.25.3
pip==19.3.1
protobuf==3.11.1
pyAesCrypt==0.4.3
pyasn1==0.4.8
pyasn1-modules==0.2.7
pycparser==2.19
pydicom==1.3.0
pyparsing==2.4.5
python-dateutil==2.8.1
pytz==2019.3
requests==2.22.0
requests-oauthlib==1.3.0
rsa==4.0
scipy==1.3.3
seaborn==0.9.0
setuptools==42.0.1
six==1.13.0
tensorboard==2.0.2
tensorflow==2.0.0
tensorflow-estimator==2.0.1
termcolor==1.1.0
urllib3==1.25.7
Werkzeug==0.16.0
wheel==0.33.6
wrapt==1.11.2

Next steps

No action items identified.

Issue description

Using TensorFlow 2.0 and Eager Execution, I’m unable to set up Beholder.

Here’s the error output:

Traceback (most recent call last):
  File "mlencrypt.py", line 12, in <module>
    beholder = Beholder(logdir)
  File ".../lib/python3.6/site-packages/tensorboard/plugins/beholder/beholder.py", line 50, in __init__
    self.frame_placeholder = tf.compat.v1.placeholder(tf.uint8, [None, None, None])
  File ".../lib/python3.6/site-packages/tensorflow_core/python/ops/array_ops.py", line 2627, in placeholder
    raise RuntimeError("tf.placeholder() is not compatible with "
RuntimeError: tf.placeholder() is not compatible with eager execution.

Right before it, I run tf.config.experimental_run_functions_eagerly(True) but if I comment out this line, I still get the same error.