Databricks

DataBRObin · 05-30-2023

I am running training of a Keras/Tensorflow deep learning model on a cluster of (for now) 2 workers and 1 driver (T4 GPU, 28GB, 4 core) using the Databricks provided HorovodRunner. It all seems to go well and the performance scales quite nicely over ...

DataBRObin · 08-04-2022

For a computer vision project, my raw data consists of encrypted videos (60fps) stored in Azure Blob Storage. In order to have the data usable for model training, I need to do some preprocessing and for that I need the video split into individual fra...

DataBRObin · 06-13-2023

Hi Sean, thank you for coming back to me and my apologies for my delayed response. Unfortunately, those state callbacks are necessary for Elastic Horovod to work (https://horovod.readthedocs.io/en/stable/elastic_include.html) which I want to use as i...

DataBRObin · 05-30-2023

In the end, I decided to change around the workflow so it is as efficient as I could imagine it:Extract frames of video files in a containerized application somewhere running ffmpeg and storing the resulting frames in a parquet file in blob storage (...

DataBRObin · 09-09-2022

Hi @Vidula Khanna Hope you're doing good too! I haven't really been able to solve my issue beside the workaround mentioned above, with a very low number of videos to process at at time with a large VM, so I still consider this issue unresolved (and ...

DataBRObin · 08-12-2022

In the end, I managed to get it to work. The way I did it is to only have one executor per cluster node (assign executor.cores to be the node core count -2 and memory as much as allowed) and repartition to more partitions than rows in the table and l...

DataBRObin · 08-04-2022

I believe that is true as well, since I am just using the python library implementation of it. If there would be a way to run it sequentially on the driver but once one row has been processed it hands it off to the executors again and materialises it...

Databricks

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Running Keras model training with HorovodRunner works until the training function is exited ("The MPI_Query_thread() function was called after MPI_FINALIZE was invoked.")

FFmpeg frame extraction explodes memory, how to mitigate?

Re: Running Keras model training with HorovodRunner works until the training function is exited ("The MPI_Query_thread() function was called after MPI_FINALIZE was invoked.")

Re: FFmpeg frame extraction explodes memory, how to mitigate?

Re: FFmpeg frame extraction explodes memory, how to mitigate?

Re: FFmpeg frame extraction explodes memory, how to mitigate?

Re: FFmpeg frame extraction explodes memory, how to mitigate?