Embedding visualization with eager execution

TensorBoard version: 1.10.0 OS: Linux Ubuntu 16.04.5 LTS Python version: 2.7.12

I am using eager execution and I would like to visualize embeddings in TensorBoard. I use the following code to set up the visualization:

import tensorflow as tf import tensorflow.contrib.eager as tfe from tensorflow.contrib.tensorboard.plugins import projector tf.enable_eager_execution() tf.executing_eagerly() self._writer = tf.contrib.summary.create_file_writer('path') embedding_config = projector.ProjectorConfig() embedding = embedding_config.embeddings.add() embedding.tensor_name = self._word_embeddings.name embedding.metadata_path = 'metadata.tsv' projector.visualize_embeddings(self._writer, embedding_config)

where self._word_embeddings is my variable for the embeddings. However, when executing this script the following error is thrown:

File "/lib/python2.7/site-packages/tensorflow/contrib/tensorboard/plugins/projector/__init__.py", line 52, in visualize_embeddings logdir = summary_writer.get_logdir() AttributeError: 'SummaryWriter' object has no attribute 'get_logdir'

Might this be a bug? Any kind of help is greatly appreciated!

[mmv]

This issue is more relevant now because TF2.0 removes SummaryWriter, making the projector impossible to use without a workaround.

[lanpa]

@maximilianmozes Can you access the embedded vectors as a numpy array? If so, I think tensorboardX might do the trick.