How to see the training logs

environment

• Macos Catalina 10.15.1
• python 3.6.8
• pip 20.0.2

install tensorboard

# use list command to check if you have already installed tensorboard
# if there is no tensorboard, use pip to install
# you can check your tensorflow version firstly and install the corresponding version of tensorboard

$ pip list
$ pip search tensorboard
tensorboard (2.2.1)                             - TensorBoard lets you watch
                                                  Tensors Flow
  INSTALLED: 1.12.2
  LATEST:    2.2.1
neptune-tensorboard (0.3.9)                     - Neptune Tensorboard
jupyter-tensorboard (0.2.0)                     - Start tensorboard in
                                                  Jupyter! Jupyter notebook
                                                  integration for tensorboard.
tensorboard-chainer (0.4.0)                     - Log TensorBoard events with
                                                  chainer
tensorboard-pytorch (0.7.1)                     - Log TensorBoard events with
                                                  pytorch
convolut-tensorboard (0.0.2)                    - Tensorboard integrations for
                                                  convolut framework
tensorboard-easy (0.2.3)                        - A tensorflow-independent
...
$ pip install tensorboard==1.12.2

prepare the training logs

# at first you may choose to create and save the training log
# and the saving path may not include character path

tensorboard --logdir the folder path of saving logs files
$ tensorboard --logdir 
/Users/banshijou/.pyenv/versions/3.6.7/envs/tensorflow1.12/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:523: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/Users/banshijou/.pyenv/versions/3.6.7/envs/tensorflow1.12/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:524: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/Users/banshijou/.pyenv/versions/3.6.7/envs/tensorflow1.12/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/Users/.pyenv/versions/3.6.7/envs/tensorflow1.12/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/Users/.pyenv/versions/3.6.7/envs/tensorflow1.12/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/Users/.pyenv/versions/3.6.7/envs/tensorflow1.12/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:532: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
TensorBoard 1.12.2 at http://PC_name:6006 (Press CTRL+C to quit)

open the tensorboard at browser

• see the URL"http://PC_name:6006" at the last line of terminal
• change "http://PC_name:6006" to "http://localhost:6006"

close the tensorboard

press CTRL + C to release the port 6006

/Users/.pyenv/versions/3.6.7/envs/tensorflow1.12/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:532: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
TensorBoard 1.12.2 at http://PC_name:6006 (Press CTRL+C to quit)
^C(tensorflow1.12) PC_name:~ user$ 

you can also check the tensorflow HP for more message