ReadMeFeed / Community knowledge

#tensorboard

Real questions. Useful conversations. Find the people who know your stack.

Question1 answer782 followingPosted 05 Aug 2024, 07:32 UTC45.3K views2,617 votes

Which profile_batch range avoids warmup overhead in tf.keras.callbacks.TensorBoard?

Measuring Training Bottlenecks Identifying whether a Keras model is compute-bound or input-bound is essential before applying optimizations to the tf.data pipeline or model architecture. The tf.keras.callbacks.TensorBoard callback provides a profile_batch argument to capture a profiler trace during fit() , which can then be analyzed in the TensorBoard Profil

Community & Careers · Editorial question

tensorflow

Community & Careers

Question1 answer1 comment1,368 followingPosted 23 Feb 2023, 01:59 UTC149.7K views3,211 votes

owner commented

Limits of Keras EarlyStopping Verbosity on Console Noise and Warning Visibility

Goal: silence the per‑epoch messages produced by Keras callbacks during model.fit while preserving the ability to be notified of serious training anomalies such as NaN metric values or checkpoint write failures. Constraint: setting verbose=0 on callbacks like EarlyStopping, ModelCheckpoint, or CSVLogger removes all stdout output from those callbacks, but it

Community & Careers · Editorial question

keras tensorboard callback-verbosity