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**What questions are you trying to answer? Please describe.**
Analyze latency/throughput for NVTabular+TensorFlow for Triton Inference Server
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Hello Criteo Team,
In the new version (6.0.0), we've encountered consistent failures whenever the storeId is included. Are there any concerns regarding this issue?
Regards,
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Hi. I read your paper and find your ideas interesting. Thank you for opening your source code.
However, when I try to run the Oracle Cacher, I cannot find an indication on how to get the `kaggle_cr…
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Tried running both the command to run it via a docker container, and also running it within the ResNet50 container.
End of the log follows
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Looking in indexes: https://pypi.org/simple, https:/…
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We are trying the author's PIN code on Criteo and Avazu. We are able to reproduce the AUC score of 78.72% on Avazu. But we can only achieve an AUC score of 80.18% on Criteo. However, if we use a diffe…
cjxnn updated
5 years ago
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Since version [8.10.2-a7234b1](https://github.com/criteo/JVips/releases/tag/8.10.2-a7234b1), the binary release is provided without `libheiff.so`, so AVIF generation fails with an error.
```
com.c…
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Hello,
I'm running some training with the Kaggle Criteo dataset, and here is the command I ran:
```
torchx run -s local_cwd dist.ddp -j 1x1 --script dlrm_main.py --\
--in_memory_binary_crite…
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do you know code example to run criteo-1tb-benchmark fully locally , without spark?
kind of online learning?
for
https://labs.criteo.com/2013/12/download-terabyte-click-logs-2/
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The code references this s3 bucket without much explaination: cirrus-criteo-kaggle-19b-random. Could I get any information on what's inside this bucket? What should I put in this bucket?
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I'm having trouble training a DLRM model with 4 GPUs. When running with full dataset , the model achieves a auc of 0.79 after 12 hours of training with 1 GPU, but the auc only reaches 0.76 when I use …