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!

Start by reproducing the eager-execution setup using tf.contrib.summary.create_file_writer, projector.ProjectorConfig, and projector.visualize_embeddings. Inspect projector/init.py at visualize_embeddings, especially the get_logdir call, and compare the writer API used there with the writer created in the report. Done means the reported setup no longer raises the AttributeError and the embedding configuration is accepted.