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I'm using Tensorboard's embedding projector to perform PCA/t-SNE on a dataset of features I've extracted from ~4K MIDI files. I've created a metadata TSV and pointed my Tensorflow application to it as instructed in the documentation. The metadata parses correctly in Tensorboard, however, when I use the inspector on the right-most panel, many of the fields seem to be unsearchable, or at least yield zero results for any valid query. Searching the first 13 fields (columns) works correctly, however 3 of the last fields are unsearchable, specifically artist_terms, artist_mbtags, and artist_location in embedding_logdir/metadata.tsv.
I'm finding this to be the case independent of whether regex mode is enabled or disabled. I can also confirm that these fields are being parsed correctly as I can select a data point and view the values for these problematic fields. I've also tried creating a metadata file with only those three problematic fieldnames and they continue to misbehave in this test as well.
Reproducing
I've attached my logdir complete with a checkpoint and metadata.tsv. To reproduce my results, extract the folder and launch Tensorboard from inside embedding_logdir's parent directory like so:
tensorboard --logdir embedding_logdir
Tensorboard must be run from the parent directory of embedding_logdir to maintain the correct filepath I specified for the metadata.tsv file in my TF program.
Can you please take a look at this comment from a similar SO issue and also the above comment from @yuqingqing? Meanwhile, can you try setting the right path for the sprite image and let us know if it helps in resolving your issue? Thanks!
Migrated from tensorflow/tensorflow#8177
There's a lot of additional conversation there.
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