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Commits on Apr 26, 2021

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

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  jianyuh

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  95805fb

Commits on Apr 22, 2021

• suppress errors in deeplearning/fbgemm/fbgemm_gpu

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  Pyre Bot Jr

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  4ceb117

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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  cc4b585

Commits on Apr 20, 2021

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

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  jspark1105

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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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  698c2dc

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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  625201f

• row-wise sequence embeddings

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  YazhiGao

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  0b3f25e

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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  nqjade

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  00f4892

Commits on Apr 7, 2021

• Add CacheState type to fbgemm_gpu (pytorch#591)

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  r-barnes

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  4b5e997

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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  b01c349

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

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  jspark1105

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  a98ad84

• 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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  9b623bb

• More types for fbgemm_gpu (pytorch#585)

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  r-barnes

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  c565348

Commits on Apr 5, 2021

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

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  jspark1105

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  4c43051

• fix bug split_table_batched_embeddings_benchmark in reporting BW

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  jspark1105

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  c109fc2

• make split_table_batched_embeddings_benchmark work on cpu

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  jspark1105

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  f5dbb5a

• extract kernel for easier debugging (pytorch#587)

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  jspark1105

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  62c7209

• fix cpu approx sparse adagrad (pytorch#586)

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  jspark1105

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  228cbac

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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  supriyar

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  f29eaad

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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  5a8d11f

Commits on Mar 30, 2021

• Types for fbgemm (pytorch#580)

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  r-barnes

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  e839120

• 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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  2c2ae1f

Commits on Mar 25, 2021

• Build fix with certain compilers versions (pytorch#575)

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  dskhudia

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Commits on Mar 24, 2021

• Pyre for fbgemm (pytorch#558)

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  r-barnes

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  203f7ff

• add approx_sgd/rowwise_adagrad to setup.py (pytorch#579)

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  jspark1105

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  a8097ee

• Remove Explicit prefetch argument from forward (pytorch#578)

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  another-pjohnson

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  7c0c486

• Back out "have bf16 quantize kernels use 2d blocks with loop to cover large tensors" (pytorch#572)

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  jianyuh

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  fc2c734

Commits on Mar 23, 2021

• Use more compact syntax for is_uvm_tensor (pytorch#577)

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  ezyang

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  1d7eaf3

• use JIT'ed approx rowwise sparse adagrad on CPU (pytorch#574)

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  jspark1105

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  a2b58df

• add grad stride option to fused rowwise sparse adagrad (pytorch#568)

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  jspark1105

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  8998e6f

• make ref code deterministic in split_table_batched_embeddings_test (pytorch#565)

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  jspark1105

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