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[Common] Improved performance of Group MXFP8 kernels Label community contributions #2378: Pull request #3337 synchronize by Oleg-Goncharov
10s
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[PyTorch] Fix MXFP8 master weight cast when a rank owns no shard. Build #20040: Pull request #3348 synchronize by rapatel
In progress rapatel:ripatel/handle_empty_shards
rapatel:ripatel/handle_empty_shards
In progress
[PyTorch] Fix MXFP8 master weight cast when a rank owns no shard. License #19460: Pull request #3348 synchronize by rapatel
11s rapatel:ripatel/handle_empty_shards
rapatel:ripatel/handle_empty_shards
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[PyTorch] Fix MXFP8 master weight cast when a rank owns no shard. Lint #20084: Pull request #3348 synchronize by rapatel
2m 40s rapatel:ripatel/handle_empty_shards
rapatel:ripatel/handle_empty_shards
2m 40s
[PyTorch] Fix MXFP8 master weight cast when a rank owns no shard. Documentation #19462: Pull request #3348 synchronize by rapatel
1m 29s rapatel:ripatel/handle_empty_shards
rapatel:ripatel/handle_empty_shards
1m 29s
[PyTorch] Fix MXFP8 master weight cast when a rank owns no shard. Label community contributions #2377: Pull request #3348 synchronize by rapatel
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GroupedLinear(single_grouped_weight=True) produces no weight gradient (wgrad) Blossom-CI #11186: Issue comment #3234 (comment) created by zhongbozhu
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GroupedLinear(single_grouped_weight=True) produces no weight gradient (wgrad) TE-CI Trigger #11157: Issue comment #3234 (comment) created by zhongbozhu
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[PyTorch] Share MXFP8 data tensor between rowwise and columnwise for 2D quantization Blossom-CI #11185: Issue comment #3385 (comment) created by ptrendx
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[PyTorch] Share MXFP8 data tensor between rowwise and columnwise for 2D quantization TE-CI Trigger #11156: Issue comment #3385 (comment) created by ptrendx
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[Pytorch] MOE Sequential Block Lint #20083: Pull request #3350 synchronize by vthumbe1503
2m 26s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block License #19459: Pull request #3350 synchronize by vthumbe1503
8s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block Documentation #19461: Pull request #3350 synchronize by vthumbe1503
1m 25s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block Build #20039: Pull request #3350 synchronize by vthumbe1503
In progress vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
In progress
[Pytorch] MOE Sequential Block Label community contributions #2376: Pull request #3350 synchronize by vthumbe1503
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[Pytorch] MOE Sequential Block Build #20038: Pull request #3350 synchronize by pre-commit-ci Bot
2m 20s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block Documentation #19460: Pull request #3350 synchronize by pre-commit-ci Bot
1m 35s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block License #19458: Pull request #3350 synchronize by pre-commit-ci Bot
9s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block Lint #20082: Pull request #3350 synchronize by pre-commit-ci Bot
2m 18s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block Label community contributions #2375: Pull request #3350 synchronize by pre-commit-ci Bot
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[Pytorch] MOE Sequential Block License #19457: Pull request #3350 synchronize by vthumbe1503
8s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block Documentation #19459: Pull request #3350 synchronize by vthumbe1503
46s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block Lint #20081: Pull request #3350 synchronize by vthumbe1503
54s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block Build #20037: Pull request #3350 synchronize by vthumbe1503
54s vthumbe1503:dispatch_combine_op
vthumbe1503:dispatch_combine_op
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[Pytorch] MOE Sequential Block Label community contributions #2374: Pull request #3350 synchronize by vthumbe1503
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