From b187f52ced37b297f708065881cf17b1d2a8e6fd Mon Sep 17 00:00:00 2001 From: root Date: Sat, 15 Aug 2026 14:53:57 +0000 Subject: [PATCH] data: so import chain probe --- probe_so_output.txt | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/probe_so_output.txt b/probe_so_output.txt index 519c90ff..835497db 100644 --- a/probe_so_output.txt +++ b/probe_so_output.txt @@ -10,9 +10,9 @@ === 2. Python import路径 === /usr/local/corex/lib64/python3/dist-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. import pynvml # type: ignore[import] -INFO 08-15 14:48:59 importing.py:10] Triton not installed; certain GPU-related functions will not be available. -2026-08-15 14:49:01.632894: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. -2026-08-15 14:49:01.686627: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. +INFO 08-15 14:53:14 importing.py:10] Triton not installed; certain GPU-related functions will not be available. +2026-08-15 14:53:16.346469: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. +2026-08-15 14:53:16.398804: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. vllm.__file__: /home/dylan/0814/project_6/vllm/__init__.py @@ -37,9 +37,9 @@ vllm dir: /home/dylan/0814/project_6/vllm === 3. 逐个import corex_moe测试 === /usr/local/corex/lib64/python3/dist-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. import pynvml # type: ignore[import] -INFO 08-15 14:49:11 importing.py:10] Triton not installed; certain GPU-related functions will not be available. -2026-08-15 14:49:13.043593: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. -2026-08-15 14:49:13.095797: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. +INFO 08-15 14:53:25 importing.py:10] Triton not installed; certain GPU-related functions will not be available. +2026-08-15 14:53:27.639666: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. +2026-08-15 14:53:27.692162: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. ✓ from vllm import corex_moe_topk_softmax → ['moe_topk_softmax'] @@ -61,9 +61,9 @@ WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPREC === 4. ix_unified_bridge import测试 === /usr/local/corex/lib64/python3/dist-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. import pynvml # type: ignore[import] -INFO 08-15 14:49:22 importing.py:10] Triton not installed; certain GPU-related functions will not be available. -2026-08-15 14:49:24.345485: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. -2026-08-15 14:49:24.397567: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. +INFO 08-15 14:53:37 importing.py:10] Triton not installed; certain GPU-related functions will not be available. +2026-08-15 14:53:38.942008: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. +2026-08-15 14:53:38.994486: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. ✗ ix_unified_bridge: cannot import name 'ix_unified_bridge' from 'vllm' (/home/dylan/0814/project_6/vllm/__init__.py) @@ -71,9 +71,9 @@ WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPREC === 5. 我们的qwen3_5.py里各flag的实际值 === /usr/local/corex/lib/python3/dist-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you. import pynvml # type: ignore[import] -INFO 08-15 14:49:33 importing.py:10] Triton not installed; certain GPU-related functions will not be available. -2026-08-15 14:49:35.533303: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. -2026-08-15 14:49:35.585311: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. +INFO 08-15 14:53:48 importing.py:10] Triton not installed; certain GPU-related functions will not be available. +2026-08-15 14:53:50.143129: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. +2026-08-15 14:53:50.195319: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them. ✗ _USE_COREX_BATCHED_GEMM = False