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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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• remove fp16 flag (pytorch#581)

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  jianyuh

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Commits on Mar 25, 2021

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

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Commits on Mar 24, 2021

• Pyre for fbgemm (pytorch#558)

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  r-barnes

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

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  jspark1105

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• 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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Commits on Mar 23, 2021

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

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  ezyang

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

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  jspark1105

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

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  jspark1105

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

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  jspark1105

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• Fix OSS build failure due to approx sgd (pytorch#570)

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  jianyuh

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• Move permute_pooled_embs_kernel into fbgemm_gpu (pytorch#569)

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  jianyuh

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Commits on Mar 22, 2021

• relax error bound of fp16 sparse adagrad (pytorch#567)

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  jspark1105

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• fix approx sgd on cpu (pytorch#566)

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  jspark1105

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  ffff7a3

• avoid unused variable warning for approx sgd (pytorch#564)

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Commits on Mar 20, 2021

• avoid initializing embedding bag output to zeros (pytorch#560)

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  jspark1105

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• array out of bound checking (pytorch#562)

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  jspark1105

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• add one more entry to hash_size_cum to easier compute of hash size of each table (pytorch#561)

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  jspark1105

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• format split_table_batched_embeddings_ops.py (pytorch#563)

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  jspark1105

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Commits on Mar 19, 2021

• correctly handle fp16 table in approx sgd

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  jspark1105

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• Also include the dependency to FBGEMM CPU SPMDM routine (pytorch#559)

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  jianyuh

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Commits on Mar 18, 2021

• Optimize the performance of recat_embedding_grad_output (pytorch#488)

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  jianyuh

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• Add FBGEMM_CPU dependency in setup.py for table batched embedding cpu op (pytorch#556)

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  jianyuh

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• Fix the OSS CMakefile build (pytorch#555)

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  jianyuh

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• only test optimizers supported in CPU in test_backward_optimizers (pytorch#557)

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  jspark1105

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• Remove "step" from table batched Rowwise Adagrad optimizer state (pytorch#481)

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  Wen Zhang (AI Infra)

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• Fix OSS build and run issues (pytorch#554)

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  jianyuh

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  4ef1ec0

• Add per-feature precision support in the model level (pytorch#552)

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  jianyuh

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Commits on Mar 17, 2021

• real sparse fused exact optimizer: SGD and (row-wise) AdaGrad (pytorch#551)

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  jiyuanzFB

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• use fbgemm cpu embedding spmdm jit kernel (pytorch#550)

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  jspark1105

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• add output stride option to embedding spmdm (pytorch#548)

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  jspark1105

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• Remove dead includes in deeplearning/fbgemm/test (pytorch#534)

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  generatedunixname89002005287564

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