HybridBackend
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Introduction
Architecture
Data Loading
Distributed Training
HybridBackend
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Contents
Introduction
Recommendation models
HybridBackend
Architecture
Data Loading
1. Data Frame
2. Tabular Dataset
3. Deduplication
4. Tips
5. Benchmark
Distributed Training
1. Cluster Configuration
2. Data Parallelism
3. Embedding-Sharded Data Parallelism
4. Sync training with unbalanced data across workers.
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