CANN: fix CPU memory leak in CANN backend #16549
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This commit fixes a CPU-side memory leak issue in the CANN backend, which occurred when intermediate aclTensorList objects were not properly released after operator execution. The leak happened during repeated invocations of CANN ops (e.g., FlashAttention), leading to increasing host memory usage over time. Proper resource cleanup (aclDestroyTensorList and related release logic) has been added to ensure that all temporary tensors are correctly freed.
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I started llama-serve and continuously sent requests. The observed CPU memory usage is as follows: |
hipudding
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Oct 13, 2025
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Oct 13, 2025
* origin/master: (32 commits) metal : FA support F32 K and V and head size = 32 (ggml-org#16531) graph : support cacheless embeddings with FA and iSWA (ggml-org#16528) opencl: fix build targeting CL 2 (ggml-org#16554) CUDA: fix numerical issues in tile FA kernel (ggml-org#16540) ggml : fix build broken with -march=armv9-a on MacOS (ggml-org#16520) CANN: fix CPU memory leak in CANN backend (ggml-org#16549) fix: add remark plugin to render raw HTML as literal text (ggml-org#16505) metal: add support for opt_step_sgd (ggml-org#16539) ggml : fix scalar path for computing norm (ggml-org#16558) CANN: Update several operators to support FP16 data format (ggml-org#16251) metal : add opt_step_adamw and op_sum (ggml-org#16529) webui: remove client-side context pre-check and rely on backend for limits (ggml-org#16506) [SYCL] fix UT fault cases: count-equal, argsort, pad OPs (ggml-org#16521) ci : add Vulkan on Ubuntu with default packages build (ggml-org#16532) common : handle unicode during partial json parsing (ggml-org#16526) common : update presets (ggml-org#16504) ggml : Fix FP16 ELU positive branch (ggml-org#16519) hparams : add check for layer index in is_recurrent (ggml-org#16511) ggml: Correct SVE implementation in ggml_vec_dot_f16_unroll (ggml-org#16518) CUDA: faster tile FA, add oob checks, more HSs (ggml-org#16492) ...
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This commit fixes a CPU-side memory leak issue in the CANN backend, which occurred when intermediate aclTensorList objects were not properly released after operator execution. The leak happened during repeated invocations of CANN ops (e.g., FlashAttention), leading to increasing host memory usage over time.
Proper resource cleanup (aclDestroyTensorList and related release logic) has been added to ensure that all temporary tensors are correctly freed.
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