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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
WS1-chain-GPU
#401:
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
WS1-chain-NPU
#16:
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
WS1-chain-NPU
#15:
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
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#400:
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feat(ascend): Qwen-Image qk_rmsnorm & multi_axis_rope kernels (issue #386)
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Merge pull request #373 from zhangj1an/feat/skill-ws1-single-card-kernel
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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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[skill] add ws1 ascend kernel
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Qwen image latent pack unpack
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Merge pull request #406 from zhangj1an/feat/ws1-ascend-closeout
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Merge pull request #406 from zhangj1an/feat/ws1-ascend-closeout
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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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Qwen image latent pack unpack
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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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[WS1][Ascend] Qwen3-8B Dense train-inference closeout for BF16 execution vs FP32 reference
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