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Commits on Mar 1, 2022

• refactor pin_memory to not require explicit pin_memory in dataloader (pytorch#123)

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• Rename IDataFrame to DataFrame (pytorch#224)

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• support proxy embedding quantization for multiple unsharded modules (pytorch#120)

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• Fix DLRM link in README (pytorch#103)

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• Refactor sparse arch and interaction arch (pytorch#609)

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Commits on Feb 28, 2022

• Add self.defaults to OptimizerWrapper

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• Correct Markdown indentation in README.md (pytorch#117)

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• fix batching queue test (pytorch#118)

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• fix __getstate__ in torchrec optimizer (pytorch#113)

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Commits on Feb 27, 2022

• Add debug flag to planner stats for showing parameter info and make width dynamic (pytorch#115)

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Commits on Feb 25, 2022

• Handle empty replicated params (pytorch#90)

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• use predictor container in trecGpuMon (pytorch#107)

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• enable pooled embedding arch module in inference (pytorch#97)

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Commits on Feb 24, 2022

• Automated submodule update: FBGEMM (pytorch#105)

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• enable sequence embedding in inference (pytorch#108)

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• TW sequence input_dist, output_dist, lookup module for quantized sharded module (pytorch#109)

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• Extensible ShardingSpec (#72130)

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• suppress errors in torchrec

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• Add overview to planner/__init__ and clean up docstrings

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Commits on Feb 23, 2022

• Automated submodule update: FBGEMM (pytorch#89)

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• standardize on torchrec spelling in notebook (PascalCase)

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• Rename ta.DataFrame/Column to ta.dataframe/column (pytorch#26)

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• Move notation from model to __init__.py (pytorch#91)

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• add overview to __init__ in inference (pytorch#100)

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• update rest of docs

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• update distributed docs

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• update modules docs

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• update doctrings of models

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• datasets doc update

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• remove >>> req from module linter

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• Fall back to permute_sparse_data at RuntimeError for backward compatibility.

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• add overview to __init__ in quant (pytorch#99)

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• add documentation for optimizer submodule

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• bump version for OSS release (pytorch#98)

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• add links to docs and runnable colab notebook

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