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Commits on May 1, 2023

• Remove unncessary wait typing from quant modules (pytorch#1146)

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  Ying Liu

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  9168511

• Keep an almost sorted list of devices (pytorch#1142)

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  henrylhtsang

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  a564683

• Deepcopy proposal only if it's better (pytorch#1143)

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  henrylhtsang

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  144a993

• Memorize is_pooled for a sharding_option (pytorch#1141)

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  henrylhtsang

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  1b27f8e

Commits on Apr 30, 2023

• Making physical and logical size the same for QEBC/QEC shardable parameters (pytorch#1127)

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  Ivan Kobzarev

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  ba0ec9d

• FX transform to remove .to(device) in input_dist (pytorch#1135)

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  Ivan Kobzarev

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  71da58a

Commits on Apr 28, 2023

• init_params arg for shard_modules

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  rohan-varma

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  7b29fd2

Commits on Apr 26, 2023

• Back out "Fuse input dist splits all2all" and dependent diffs (pytorch#1137)

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  joshuadeng

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  e4b36db

• wrap dict update in PositionWeightedModule (pytorch#1113)

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  bradleyhd

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Commits on Apr 25, 2023

• update examples and test for deepfm and dlrm modules (pytorch#1136)

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  Ying Liu

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  7d52cd1

• removing none_throws from session-level recall RecMetric (pytorch#1134)

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  Mark Gluzman

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  163b45f

• address manywheel failing actions and build_test failures (pytorch#1133)

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  bradleyhd

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  114bf35

Commits on Apr 24, 2023

• calling wait() when fx tracing in Sharded QEBC (pytorch#1128)

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  842974287

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  0f13e40

Commits on Apr 21, 2023

• Quant modules FX syntax to preserve TBE in GraphModule (pytorch#1129)

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  Ivan Kobzarev

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  c9a2be9

Commits on Apr 18, 2023

• Optional registration of TBEs for Quant modules (pytorch#1121)

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  Ivan Kobzarev

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  1025623

• session-level recall as RecMetric (pytorch#1126)

  Show description for 846fa56
  

  Mark Gluzman

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  846fa56

• Add table_name to TBE specs (pytorch#1119)

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  Ivan Kobzarev

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  e3889cd

• in group_table check string value of pooling mode (pytorch#1124)

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  842974287

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  13033eb

Commits on Apr 17, 2023

• Use float in AUC compute (pytorch#1123)

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  Chen Chen

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  17248cb

• Optional registration of all tbes (for QEBC,QEC) in named_modules (pytorch#1097)

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  Ivan Kobzarev

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  25bf67a

Commits on Apr 14, 2023

• added option to use fp8(1-4-3) for fp8 comm's bwd precision (pytorch#1107)

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  Xiao Sun

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  734a06e

Commits on Apr 13, 2023

• Start input dist before fwd in train pipeline and prevent unnecessary wait for batch (pytorch#1112)

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  joshuadeng

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  2813bcd

• Fuse input dist splits all2all (pytorch#1111)

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  joshuadeng

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  a31aa97

• Fix issue with torchrec test case causing torchrec's GHA to fail (pytorch#1117)

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  Rahul Mitra

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  9969cd1

• Support more than 2 fused optimizer states (pytorch#1079)

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  lequytra

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  e011eb2

Commits on Apr 12, 2023

• Add unit test for alltoall_pooled and verify that gradient division works (pytorch#1116)

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  Rahul Mitra

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  d263c34

• zeros_like for meta-device tensor init

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  michaelhe-meta

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  d2397d4

• Have grouped AUC accept grouping_key as a required input (pytorch#1110)

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  Sam Woodmansee

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  761351a

Commits on Apr 10, 2023

• Revert D43099078 (pytorch#1106)

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  houseroad

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Commits on Apr 7, 2023

• Add comm data type size for both forward and backward comms (pytorch#1093)

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  henrylhtsang

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  abb3fba

Commits on Apr 4, 2023

• Don't show per feature batch sizes if not provided and clean up stats (pytorch#1103)

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  joshuadeng

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  2bc324c

Commits on Apr 2, 2023

• fp8 rowdim backward compatibility (pytorch#1099)

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  Xiao Sun

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  9bdf393

Commits on Mar 31, 2023

• Handle MultipyEmbeddedException (pytorch#1098)

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  Yangmei Lin

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  c751b7f

• Extract infer_utils from test_fx_jit (pytorch#1101)

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  Ivan Kobzarev

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  4879370

Commits on Mar 30, 2023

• Enable variable feature batch_sizes from EmbeddingConfigs (pytorch#1094)

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  lequytra

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  93737c3

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