Unable to Retrieve Embedding Arrays From TensorBoard Logs

I am encountering difficulties in retrieving embedding arrays that were logged using add_embedding from TensorBoard logs. I am unable to locate the actual embedding arrays. Below is a detailed description of the issue and the steps I have taken so far.

Steps to Reproduce
Logging Embeddings:

I used add_embedding to log embeddings in TensorBoard.
Example code for logging embeddings:

from torch.utils.tensorboard import SummaryWriter
import numpy as np

# Create a SummaryWriter
log_dir = 'logs/embedding_example'
writer = SummaryWriter(log_dir)

# Generate some dummy embeddings
embedding_data = np.random.randn(100, 64)  # 100 items with 64-dim embeddings
metadata = [f'Label {i}' for i in range(100)]

# Write the embeddings
writer.add_embedding(mat=embedding_data, metadata=metadata, global_step=1)

writer.close()
Attempting to Retrieve Embeddings:

I tried using EventAccumulator to load and parse the event files but was unable to locate the embedding arrays.
Example code for extracting embeddings:

import os
import numpy as np
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator

def extract_embeddings_from_log(log_dir):
    event_acc = EventAccumulator(log_dir, size_guidance={'tensors': 0})
    event_acc.Reload()

    embeddings = {}

    # Get tags for tensors (embeddings should be listed here)
    tensor_tags = event_acc.Tags()
    print(tensor_tags)

I would appreciate any guidance or suggestions on how to properly retrieve the embedding arrays logged using add_embedding. Specifically, I am looking for:

• Confirmation on whether add_embedding embeddings should be accessible through EventAccumulator.
• Corrections to my approach or alternative methods to extract the embeddings.
• Any additional information on the correct tags or structures to look for within the TensorBoard logs.

Environment Details
Framework: PyTorch
Logging Library: TensorBoard
TensorBoard Version: 2.16.2
Python Version: 3.10
Operating System: Ubuntu 22.04

Thank you for your assistance.

Start by tracing PyTorch's SummaryWriter.add_embedding output and TensorBoard's EventAccumulator handling of the generated event files. Check the reported TensorBoard 2.16.2 behavior, including the tags returned by EventAccumulator.Tags(); done means establishing whether the arrays are supported there and documenting a reproducible retrieval path or the missing functionality.