training_results_v0.5
training_results_v0.5 copied to clipboard
mlcommons
This repository contains the results and code for the MLPerf™ Training v0.5 benchmark.
Bumps [guava](https://github.com/google/guava) from 23.6-jre to 32.0.0-jre. Release notes Sourced from guava's releases. 32.0.0 Maven <dependency> <groupId>com.google.guava</groupId> <artifactId>guava</artifactId> <version>32.0.0-jre</version> <!-- or, for Android: --> <version>32.0.0-android</version> </dependency> Jar files 32.0.0-jre.jar 32.0.0-android.jar Guava...
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot] avatar"){kind=avatar}
Bumps [guava](https://github.com/google/guava) from 23.6-jre to 32.0.0-jre. Release notes Sourced from guava's releases. 32.0.0 Maven <dependency> <groupId>com.google.guava</groupId> <artifactId>guava</artifactId> <version>32.0.0-jre</version> <!-- or, for Android: --> <version>32.0.0-android</version> </dependency> Jar files 32.0.0-jre.jar 32.0.0-android.jar Guava...
Bumps [guava](https://github.com/google/guava) from 23.6-jre to 32.0.0-jre. Release notes Sourced from guava's releases. 32.0.0 Maven <dependency> <groupId>com.google.guava</groupId> <artifactId>guava</artifactId> <version>32.0.0-jre</version> <!-- or, for Android: --> <version>32.0.0-android</version> </dependency> Jar files 32.0.0-jre.jar 32.0.0-android.jar Guava...
# Patching CVE-2007-4559 Hi, we are security researchers from the Advanced Research Center at [Trellix](https://www.trellix.com). We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a...
when I run command as below ```shell wget https://raw.githubusercontent.com/mlperf/training/master/object_detection/caffe2/extract_dataset.sh ``` The bug is shown as below ```python wget https://raw.githubusercontent.com/mlperf/training/master/object_detection/caffe2/extract_dataset.sh --2021-04-20 18:34:51-- https://raw.githubusercontent.com/mlperf/training/master/object_detection/caffe2/extract_dataset.sh Proxy request sent, awaiting response... 404 Not Found...
I can not pre process the raw DATA on any of those benchmarks submitted by Nvidia for benchmarking. can you please provide the data preprocessing script?
I am wondering if anyone has run the object detecton benchmark with pytorch on Tesla P100s. Here's a link to the code I want to run on P100s, but the...
What would be the best way to run multi-node training on cloud compute instances? Similar to multi-node DGX1/DGX2 training using slurm?
Since it's supposed to deal with non-ascii characters, it's better to ensure open the text file as 'utf-8' encoding. It fixes my problem when post-processing the corpus.
