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CANN: improve ACL graph matching #16166
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Model Parallel Inference TestQwen2.5-0.5B:
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Record `ne` and `nb` information for src tensors and include them in the graph matching check. This enhances the robustness of ACL graph matching by preventing incorrect matches when src tensors share the same data address but differ in shape or stride.
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hipudding
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Oct 9, 2025
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Thanks. This commit fix the hidden bugs by aclgraph reuse.
anyshu
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Oct 10, 2025
* master: (113 commits) webui: updated the chat service to only include max_tokens in the req… (ggml-org#16489) cpu : optimize the ggml NORM operation (ggml-org#15953) server : host-memory prompt caching (ggml-org#16391) No markdown in cot (ggml-org#16483) model-conversion : add support for SentenceTransformers (ggml-org#16387) ci: add ARM64 Kleidiai build and test support (ggml-org#16462) CANN: Improve ACL graph matching (ggml-org#16166) kleidiai: kernel interface refactoring (ggml-org#16460) [SYCL] refactor soft_max, add soft_max_back (ggml-org#16472) model: EmbeddingGemma Adding Support for SentenceTransformers Dense Modules (ggml-org#16367) refactor: centralize CoT parsing in backend for streaming mode (ggml-org#16394) Disable CUDA host buffers on integrated GPUs (ggml-org#16308) server : fix cancel pending task (ggml-org#16467) metal : mark FA blocks (ggml-org#16372) server : improve context checkpoint logic (ggml-org#16440) ggml webgpu: profiling, CI updates, reworking of command submission (ggml-org#16452) llama : support LiquidAI LFM2-MoE hybrid model (ggml-org#16464) server : add `/v1/health` endpoint (ggml-org#16461) webui : added download action (ggml-org#13552) (ggml-org#16282) presets : fix pooling param for embedding models (ggml-org#16455) ...
yael-works
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Oct 15, 2025
* CANN: improve ACL graph matching Record `ne` and `nb` information for src tensors and include them in the graph matching check. This enhances the robustness of ACL graph matching by preventing incorrect matches when src tensors share the same data address but differ in shape or stride. * CANN: add op_params match
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Ascend NPU
issues specific to Ascend NPUs
ggml
changes relating to the ggml tensor library for machine learning
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What does this PR do?
Record
ne
andnb
information for src tensors and include them in the graph matching check. This enhances the robustness of ACL graph matching by preventing incorrect matches when src tensors share the same data address but differ in shape or stride.