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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
```
Looking in indexes: https://pypi.org/simple, https:/…
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### Description
```
conda activate reco_full
pip install pytest-cov
pytest tests/unit/ --cov=reco_utils/ --disable-warnings
---------- coverage: platform linux, python 3.6.10-final-0 --------…
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Current gluon dataloader does not support sparse data (CSRNDArray), mainly due to https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/data/dataloader.py#L41-L58 only supporting de…
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Operator:
- [x] sum(csr) @anirudh2290
- [x] mean(csr) @anirudh2290
- [x] sparse embedding(row_sparse gradient) @eric-haibin-lin
- [ ] concat(csr, csr)
- [x] split_axis(csr) @ZiyueHuang
- […
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Hi!
According to the docs faiss doens't natively support **cosine similarity** as distance metric. The closest one is **inner product** which additionaly needs to prenormalize embedding vectors. In […
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按照doc/online_trainer.md执行命令
```
(py37) E:\PaddleRec\PaddleRec\models\rank\slot_dnn>fleetrun --server_num=1 --worker_num=1 ../../../tools/static_ps_online_trainer.py -m config_online.yaml
Fatal er…
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I found dlrm_main.py supported two data set. The criteo_kaggle has smaller size.
parser.add_argument(
"--dataset_name",
type=str,
default="criteo_1t",
help="datas…
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To properly test model accuracy, it is not enough to use random data, since it might not cover the proper range of the possible data.
We should collect candidates for datasets, and assign models to t…
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For training questions about dlrm_recommendation_v2, The data I use is criteo fake data generated by the inference part of DLRM.
The environment I'm using is cuda python3.8; pip install -r requirmen…
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Hello, I am trying to pre-process criteo TB dataset using NVTabular. I run the `nvt_preproc.sh` [nvt_preproc](https://github.com/pytorch/torchrec/tree/main/torchrec/datasets/scripts/nvt) but get error…