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Commits on May 10, 2021

• format sparse_ops.cu (pytorch#604)

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  jspark1105

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Commits on May 6, 2021

• fix ref call in RowWiseSparseAdagradFused (pytorch#602)

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  jspark1105

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• Fix ref call in GenerateEmbeddingSpMDMWithStrides (pytorch#601)

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  malfet

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Commits on May 5, 2021

• Optimize _get_8bit_qparam_cuda_kernel to use warp sync primitives for the min and max reduction

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Commits on May 4, 2021

• reduce # of barriers in cpu emb fwd (pytorch#599)

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Commits on May 3, 2021

• handle empty indices (pytorch#600)

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  jspark1105

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• format split_table_batched_embeddings_test

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Commits on Apr 30, 2021

• add license (pytorch#598)

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Commits on Apr 28, 2021

• Permute Indices to FBGEMM (pytorch#597)

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Commits on Apr 26, 2021

• Support for sequence embeddings (Embedding list no bag) (pytorch#582)

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Commits on Apr 22, 2021

• suppress errors in deeplearning/fbgemm/fbgemm_gpu

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  Pyre Bot Jr

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Commits on Apr 21, 2021

• fix uvm bandwidth reporting bug and add flush gpu cache support (pytorch#596)

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  gsethi523

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Commits on Apr 20, 2021

• per sample weight is always fp32 (pytorch#595)

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Commits on Apr 19, 2021

• allow all uvm table placement in split_table_batched_embeddings_benchmark (pytorch#594)

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  gsethi523

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Commits on Apr 14, 2021

• Add annotations to functions in stl/lightning/utilities/ema_state.py

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  Thomas Chen

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• row-wise sequence embeddings

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  YazhiGao

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Commits on Apr 11, 2021

• use f14 map for csr2csc (pytorch#592)

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  jspark1105

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Commits on Apr 9, 2021

• Fix uvm cache checkpoint load

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Commits on Apr 7, 2021

• Add CacheState type to fbgemm_gpu (pytorch#591)

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Commits on Apr 6, 2021

• fix gpu device bug in split_table_batched_embeddings_benchmark (pytorch#590)

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  gsethi523

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• optimize exact row-wise sparse adagrad on cpu (pytorch#589)

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  jspark1105

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• parallelize cpu emb fwd across B

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  jspark1105

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  1dfb0c3

• add input stride option to embedding spmdm

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  jspark1105

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• More types for fbgemm_gpu (pytorch#585)

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Commits on Apr 5, 2021

• correct use of contiguous in cpu embedding ops (pytorch#588)

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  jspark1105

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• fix bug split_table_batched_embeddings_benchmark in reporting BW

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  jspark1105

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• make split_table_batched_embeddings_benchmark work on cpu

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  jspark1105

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• extract kernel for easier debugging (pytorch#587)

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  jspark1105

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• fix cpu approx sparse adagrad (pytorch#586)

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Commits on Apr 2, 2021

• int8 stochastic rounding

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  amylittleyang

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Commits on Apr 1, 2021

• Fix zero_point calculation (pytorch#584)

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Commits on Mar 31, 2021

• Re-apply "[fbgemm_gpu] have bf16 quantize kernels use 2d blocks with loop to cover large tensors" (pytorch#583)

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  jianyuh

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Commits on Mar 30, 2021

• Types for fbgemm (pytorch#580)

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  r-barnes

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• table-wise sequence embeddings

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  xing-liu

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  d8ac3eb

• remove fp16 flag (pytorch#581)

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  jianyuh

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