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added packing L optimization
packed bag L optimization
added packedMode_L optimization
avbokovoy
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Apr 23, 2025
avbokovoy
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The issues I see so far:
- It fails to pass tests
- Seems like not all issues with history are yet solved
- Some dead code that shouldn't go into upstream
- Copy-paste
Still continue the review on main algorithm
fbgemm_gpu/fbgemm_gpu/split_table_batched_embeddings_ops_inference.py
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fbgemm_gpu/fbgemm_gpu/split_table_batched_embeddings_ops_inference.py
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fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_kernel_template.cu
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fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_kernel_template.cu
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fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_kernel_template.cu
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| {% if not nobag %} | ||
| VecNT<{{ (32 // emb_weight_type.bit_width) }}, PrimitiveType::{{ emb_weight_type.primitive_type }}> accumulators[OutputRowsPerThread][AccumulateStoreRequests]; | ||
| {% endif %} | ||
| if constexpr (PackedMode_L){ |
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Can we avoid copy-pasting and embed your algorithm?
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This one might be hard because some for loops are fused together (input_row_in_flights+packedBagL) so we might end up having 2 if else condition still but on a later line of the code instead.
fbgemm_gpu/codegen/inference/embedding_forward_quantized_split_nbit_kernel_template.cu
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