Scale a keras training using horovod and slurm

I have this code on keras library used to train an alexnet model on MNIST dataset. I want to scale the training on a cluster running Slurm as workload manager and horovod...

TensorFlow Horovod: NCCL and MPI

Horovod is combining NCCL and MPI into an wrapper for Distributed Deep Learning in for example TensorFlow. I haven't heard of NCCL previously and was looking into its functionality. The following...

Tensorflow Mirror Strategy and Horovod Distribution Strategy

I am trying to understand what are the basic difference between Tensorflow Mirror Strategy and Horovod Distribution Strategy. From the documentation and the source code investigation I found that...

Tensorflow, Horovod, and NVLINK NotFoundError

I'm trying to run a tensorflow neural network that runs on GPUs using uber's horovod library. At the same time I am trying to run a measurement script that measurements the nvlinks between the...

pip install horovod fails on conda + OSX 10.14

Running pip install horovod in a conda environment with pytorch installed resulted in error: None of TensorFlow, PyTorch, or MXNet plugins were built. See errors above. where the root problem near...

PyTorch: Multi GPU error: RuntimeError: binary_op(): expected both inputs to be on same device, but input a is on cuda:0 and input b is on cuda:7

When I use multiple GPUs and also when I use .cuda() for the tensors in the middle of training, I got following error RuntimeError: binary_op(): expected both inputs to be on same device, but...

How to fix : horovod.run.common.util.network.NoValidAddressesFound

I'm trying to make distributed learning with 2 nvidia docker. When I tried with 2 hosts it did not work. How do I fix this problem? I tried this command: horovodrun -np 3 -H localhost:1 -p 12345 ...

ValueError: Items of feature_columns must be a _FeatureColumn. (Tensorflow 1.13)

I'm running into a ValueError when running Tensorflow-1.13 + Horovod-0.16 + Spark-0.24 + Petastorm-0.17. It's a straightforward implementation of a model_fn and some indicator_columns, but is...

ImportError: Extension horovod.tensorflow has not been built

Keep getting this error and I have reinstalled horovod and tensorflow multiple times. Please help! Traceback (most recent call last): File "train.py", line 3, in <module> import...

Custom metric: Using scikit learn's AucRoc Calculator with tf.keras

I'm training a multilabel classifier using tf.keras and horovod that has 14 classes. AucRoc is used as the metric to evaluate the performance of the classifier. I want to be able to use scikit...

Get the number of GPUs used in Tensorflow Distributed in a multi node approach

I am currently trying to compare Horovod and Tensorflow Distributed API. When using using Horovod, I am able to access the total number of GPUs currently used as follows: import horovod.tensorflow...

Tensorflow error with dataset iterator initialization in monitoredtrainingsession

Hi everyone i need somehelp. I try to code resnet-101 imagenet classification using tensorflow without using estimator. I try it to study deep learning and understand how to use tensorflow. My...

Azure ML Service dump logs

With the AzureML service, how can I dump the correct Loss curve or Accuracy curve for different epochs for keras deep learning on multiple nodes with Horovod? The Loss vs epochs plt from Keras...

FailedPreconditionError: Error while reading resource variable *** from Container

I am seeing following error on running model.fit with the horovod callbacks. If I skip the callbacks model.fit runs fine. Note: I am using horovod.tensorflow.keras package and my model is based on...

tensorflow: tf.set_random_seed() same code, but got different results

In short, in tensorflow, except for tf.set_random_seed(), is there any other config I should set to reproduce the same result? no numpy operation in my code. Long version: I am training a model...

How can I use GPUs on Azure ML with a NVIDIA CUDA custom docker base image?

In my dockerfile to build the custom docker base image, I specify the following base image: FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04 The dockerfile corresponding to the nvidia-cuda base...

While installing horovod setpy.py on GPU server showing error :-Failed to load the native TensorFlow runtime

While running following command on GPU server: $HOROVOD_WITH_PYTORCH=1 HOROVOD_WITH_TENSORFLOW=1 python --no-cache-dir setup.py install --user It's showing the following error: running...

Is it possible to use Open MPI in Docker with the default bridge network and host port forwarding?

I am trying to use Open MPI in Docker with containers on different hosts but connected to their respective default Docker bridge networks. There is a range of TCP ports that are mapped from the...

horovod do summary_op occur "one or more tensors were submitted to be reduced"

I try to do hvd.allreduce(loss) to summay_op for tensorboard. self.avg_loss = hvd.allreduce(self.loss) self.auc, self.auc_update_op = tf.metrics.auc( labels=self.label, ...

How can I utilize the driver node GPU with Horovod on an Azure Databricks cluster?

When I create a cluster with one driver + two workers, with one GPU each, and try to launch training on each GPU I would write: from sparkdl import HorovodRunner hr = HorovodRunner(np=3)...

Spark dataframe to numpy array via udf or without collecting to driver

Real life df is a massive dataframe that cannot be loaded into driver memory. Can this be done using regular or pandas udf? # Code to generate a sample dataframe from pyspark.sql import functions...

Are Apache Spark 2.0 parquet files incompatible with Apache Arrow?

The problem I have written an Apache Spark DataFrame as a parquet file for a deep learning application in a Python environment ; I am currently experiencing issues in implementing basic examples...

How to resume from a checkpoint when using Horovod with tf.keras?

Note: I'm using TF 2.1.0 and the tf.keras API. I've experienced the below issue with all Horovod versions between 0.18 and 0.19.2. Are we supposed to call hvd.load_model() on all ranks when...

Distribute data from `tf.data.Dataset` to multiple workers (e.g. for Horovod)

With Horovod, you basically run N independent instances (so it is a form of between-graph replication), and they communicate via special Horovod ops (basically broadcast + reduce). Now let's say...

Apache Spark 3 GPU cluster

I'm very new to Apache Spark. Before I was experimenting with Dask, Ray , and Horovod which can easily create GPU clusters. I'm currently using Apache Spark 3.0 (which added NVIDIA GPU support)...

Install horovod on MacOS

After installing horovod via pip3 install horovod I get an error: ImportError: Extension horovod.tensorflow has not been built:...

Running Tensorflow/Keras Using GPU with CUDA, cuDNN, Anaconda, RTX 3060 Ti

I am attempting to train a neural network using my new RTX 3060 Ti for the first time and have encountered a difficult error. Below is the error message: 2020-12-17 12:45:09.600373: E...

How to check the version of NCCL

I am remotely access High performance computing nodes. I am not sure about NVIDIA Collective Communications Library (NCCL) is installed in my directory or not? Is there a way to check the NCCL

Ubuntu 20.04 cmake permission denied when installing horovod

I was trying to install horovod via the guide here. When i try to execute the following command, HOROVOD_NCCL_HOME=/usr/local/nccl-2.9.6 HOROVOD_GPU_OPERATIONS=NCCL pip install --no-cache-dir...

Py4JNetworkError: An error occurred while trying to connect to the Java server

I am working on a project involving Horovod. I have added additional piece of code for logging during the training. Afaik, the training doesn't takes place in driver or executor. Horovod spins up...