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CI-Pipeline
#1031:
Pull request
#412
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quan-yi-ai
54m 30s
quan-yi-ai:feat/p3-router-validation
quan-yi-ai:feat/p3-router-validation
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Merge pull request #375 from Arlo-mt/MUSA-support-triton
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feat: enable Triton kernels on MUSA
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
CI-Pipeline
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
CI-Pipeline
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erfgss:feat/qwen_image_c1
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Merge pull request #373 from zhangj1an/feat/skill-ws1-single-card-kernel
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[skill] add ws1 ascend kernel
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Merge pull request #406 from zhangj1an/feat/ws1-ascend-closeout
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Qwen image latent pack unpack
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference
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Merge pull request #409 from RL-Align/docs/unify-vime-reproduction
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Merge pull request #407 from maxiaosong1124/docs/ws1-numerical-precis…
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference
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zhangj1an:feat/ws1-ascend-closeout
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docs(readme): update feature and platform support
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference
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zhangj1an:feat/ws1-ascend-closeout
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference
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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference
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docs(ws1): add numerical precision standard with threshold provenance
CI-Pipeline
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maxiaosong1124:docs/ws1-numerical-precision-standard
maxiaosong1124:docs/ws1-numerical-precision-standard
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