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[DSv4][P5-4] MXFP8×MXFP4 Routed Expert grouped GEMM: wgmma CUDA kernel GPU CI #739: Pull request #422 reopened by Bignonia7
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Perf/cuda compact top p replay GPU CI #738: Pull request #424 opened by inaniloquentee
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fix(vime): avoid double temperature scaling for reused logits GPU CI #737: Pull request #423 synchronize by inaniloquentee
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fix(vime): avoid double temperature scaling for reused logits GPU CI #736: Pull request #423 synchronize by inaniloquentee
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fix(vime): avoid double temperature scaling for reused logits GPU CI #735: Pull request #423 opened by inaniloquentee
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[DSv4][P5-4] MXFP8×MXFP4 Routed Expert grouped GEMM: wgmma CUDA kernel GPU CI #734: Pull request #422 opened by Bignonia7
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[FEAT][Ascend]: promote deterministic cross-config runtime and kernel validation to main GPU CI #733: Pull request #417 synchronize by Flink-ddd
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[FEAT][Ascend]: promote deterministic cross-config runtime and kernel validation to main GPU CI #732: Pull request #417 opened by Flink-ddd
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withdrawn GPU CI #731: Pull request #412 opened by quan-yi-ai
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feat: enable Triton kernels on MUSA GPU CI #730: Pull request #375 synchronize by Flink-ddd
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Qwen image latent pack unpack GPU CI #729: Pull request #410 labeled by Flink-ddd
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386) GPU CI #728: Pull request #411 labeled by Flink-ddd
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386) GPU CI #727: Pull request #411 labeled by Flink-ddd
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386) GPU CI #726: Pull request #411 synchronize by erfgss
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386) GPU CI #725: Pull request #411 opened by erfgss
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Qwen image latent pack unpack GPU CI #724: Pull request #410 labeled by Flink-ddd
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Qwen image latent pack unpack GPU CI #723: Pull request #410 opened by nodeeeeee
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference GPU CI #722: Pull request #406 synchronize by zhangj1an
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference GPU CI #721: Pull request #406 synchronize by zhangj1an
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference GPU CI #720: Pull request #406 synchronize by zhangj1an
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docs: unify VIME reproduction commands GPU CI #719: Pull request #409 synchronize by Flink-ddd
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docs: unify VIME reproduction commands GPU CI #718: Pull request #409 synchronize by Flink-ddd
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docs: unify VIME reproduction commands GPU CI #717: Pull request #409 labeled by Flink-ddd
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docs: unify VIME reproduction commands GPU CI #716: Pull request #409 opened by inaniloquentee
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference GPU CI #715: Pull request #406 synchronize by zhangj1an
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