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I study DLRM and embedding table features on pytorch environment and using kaggle dataset.
I can't solve some questions by myself.
so I ask here.
**First**, (in _create_emb_ and _apply_emb_ metho…
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To generate a fake dataset, I've used the following command sequence:
```
$ cd $WORKSPACE/inference/v0.5/recommendation
$ python -m pip install numpy --user
$ cd tools/
$ ./make_fake_criteo.sh te…
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I am using HugeCTR docker image: https://ngc.nvidia.com/catalog/containers/nvidia:hugectr.
When training datasets which are preprocessed using nvtabular with parquet format as mentioned in example fo…
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I am tryin to run MLPerf DLRM CPU Inference. The Python Script criteo.py is trying to import modules that no longer exist.
import dlrm_data_pytorch as dp
import data_loader_terabyte
None of the …
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**Describe the bug**
For some datasets, if the `auuc_score` is applied to results from multiple models, it returns wrong score for every second model.
**To Reproduce**
```
import pandas as pd
i…
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I do some experiments use this repo following the paper, but the auc and loss have a gap between my experiments and the paper, maybe my paramaters are wrong, so can you provide the command lines the p…
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I ran this code:
./run_local.sh pytorch dlrm terabyte gpu --max-in-range=10000000
I got this:
python3 python/main.py --profile dlrm-terabyte-pytorch --config ../mlperf.conf --model dlrm --model-p…
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if mengshen can share the data all in a link?, this data now is too small ,thanks!!
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After running all of the examples, i'm only seeing 20-25% accuracy.
Any tips on improving the accuracy? Is there a different dataset that we should use to highlight the awesomeness of this framewo…