[Bug]: dtype float16 Failure to use enable-chunked-prefill

Your current environment

The output of `python collect_env.py`

```text WARNING 09-03 01:10:59 _custom_ops.py:14] Failed to import from vllm._C with ImportError('/model/vllm/vllm/_C.abi3.so: undefined symbol: _ZN5torch3jit11parseSchemaERKSs') PyTorch version: 2.4.0+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Ubuntu 22.04.4 LTS (x86_64) GCC version: (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0 Clang version: Could not collect CMake version: version 3.30.2 Libc version: glibc-2.35 Python version: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0] (64-bit runtime) Python platform: Linux-5.15.0-117-generic-x86_64-with-glibc2.35 Is CUDA available: True CUDA runtime version: 12.4.131 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: Tesla V100-SXM2-32GB GPU 1: Tesla V100-SXM2-32GB GPU 2: Tesla V100-SXM2-32GB GPU 3: Tesla V100-SXM2-32GB GPU 4: Tesla V100-SXM2-32GB GPU 5: Tesla V100-SXM2-32GB GPU 6: Tesla V100-SXM2-32GB GPU 7: Tesla V100-SXM2-32GB Nvidia driver version: 550.90.07 cuDNN version: Probably one of the following: /usr/lib/x86_64-linux-gnu/libcudnn.so.9.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.2.1 HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 46 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 96 On-line CPU(s) list: 0-95 Vendor ID: GenuineIntel Model name: Intel(R) Xeon(R) Gold 6271C CPU @ 2.60GHz CPU family: 6 Model: 85 Thread(s) per core: 2 Core(s) per socket: 24 Socket(s): 2 Stepping: 7 BogoMIPS: 5200.00 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp_epp pku ospke avx512_vnni md_clear flush_l1d arch_capabilities Virtualization: VT-x L1d cache: 1.5 MiB (48 instances) L1i cache: 1.5 MiB (48 instances) L2 cache: 48 MiB (48 instances) L3 cache: 66 MiB (2 instances) NUMA node(s): 2 NUMA node0 CPU(s): 0-23,48-71 NUMA node1 CPU(s): 24-47,72-95 Vulnerability Gather data sampling: Mitigation; Microcode Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Mitigation; Enhanced IBRS Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Mitigation; TSX disabled Versions of relevant libraries: [pip3] numpy==1.26.4 [pip3] nvidia-nccl-cu12==2.20.5 [pip3] torch==2.4.0 [pip3] torchvision==0.19.0 [pip3] transformers==4.44.2 [pip3] triton==3.0.0 [conda] numpy 1.26.4 pypi_0 pypi [conda] nvidia-nccl-cu12 2.20.5 pypi_0 pypi [conda] torch 2.4.0 pypi_0 pypi [conda] torchvision 0.19.0 pypi_0 pypi [conda] transformers 4.44.2 pypi_0 pypi [conda] triton 3.0.0 pypi_0 pypi ROCM Version: Could not collect Neuron SDK Version: N/A vLLM Version: 0.5.1 vLLM Build Flags: CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled GPU Topology: GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 NIC2 NIC3 CPU Affinity NUMA Affinity GPU NUMA ID GPU0 X NV1 NV2 NV1 SYS SYS SYS NV2 NODE NODE SYS SYS 0-23,48-71 0 N/A GPU1 NV1 X NV1 NV2 SYS SYS NV2 SYS NODE NODE SYS SYS 0-23,48-71 0 N/A GPU2 NV2 NV1 X NV2 SYS NV1 SYS SYS PIX PIX SYS SYS 0-23,48-71 0 N/A GPU3 NV1 NV2 NV2 X NV1 SYS SYS SYS PIX PIX SYS SYS 0-23,48-71 0 N/A GPU4 SYS SYS SYS NV1 X NV2 NV2 NV1 SYS SYS PIX PIX 24-47,72-95 1 N/A GPU5 SYS SYS NV1 SYS NV2 X NV1 NV2 SYS SYS PIX PIX 24-47,72-95 1 N/A GPU6 SYS NV2 SYS SYS NV2 NV1 X NV1 SYS SYS NODE NODE 24-47,72-95 1 N/A GPU7 NV2 SYS SYS SYS NV1 NV2 NV1 X SYS SYS NODE NODE 24-47,72-95 1 N/A NIC0 NODE NODE PIX PIX SYS SYS SYS SYS X PIX SYS SYS NIC1 NODE NODE PIX PIX SYS SYS SYS SYS PIX X SYS SYS NIC2 SYS SYS SYS SYS PIX PIX NODE NODE SYS SYS X PIX NIC3 SYS SYS SYS SYS PIX PIX NODE NODE SYS SYS PIX X Legend: X = Self SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI) NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU) PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge) PIX = Connection traversing at most a single PCIe bridge NV# = Connection traversing a bonded set of # NVLinks NIC Legend: NIC0: mlx5_0 NIC1: mlx5_1 NIC2: mlx5_2 NIC3: mlx5_3 ```

python3 -u -m vllm.entrypoints.openai.api_server --model /model/models/Meta-Llama-3.1-405B-Instruct-gptq-4bit --port xxxxxx --api-key xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx  -tp 16 --seed 7  --served-model-name Llama-3-405B-Instruct --dtype float16 --enable-chunked-prefill --max-num-batched-tokens 4096 --enforce-eager --gpu-memory-utilization 0.98 --tokenizer-pool-size 8  --block-size 32  --trust-remote-code --distributed-executor-backend ray --swap-space 8  --disable-custom-all-reduce --max-model-len 32768

🐛 Describe the bug

(RayWorkerWrapper pid=1335677, ip=23.248.165.188) ethod: /project/lib/Analysis/Allocation.cpp:47: std::pair<llvm::SmallVector<unsigned int>, llvm::SmallVector<unsigned int> > mlir::triton::getCvtOrder(mlir::Attribute, mlir::Attribute): Assertion `!(srcMmaLayout && dstMmaLayout && !srcMmaLayout.isAmpere()) && "mma -> mma layout conversion is only supported on Ampere"' failed.
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) *** SIGABRT received at time=1725325639 on cpu 85 ***
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) PC: @     0x7f1d16bb29fc  (unknown)  pthread_kill
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)     @     0x7f1d16b5e520  (unknown)  (unknown)
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) [2024-09-03 01:07:19,986 E 1335677 1335677] logging.cc:440: *** SIGABRT received at time=1725325639 on cpu 85 ***
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) [2024-09-03 01:07:19,986 E 1335677 1335677] logging.cc:440: PC: @     0x7f1d16bb29fc  (unknown)  pthread_kill
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) [2024-09-03 01:07:19,986 E 1335677 1335677] logging.cc:440:     @     0x7f1d16b5e520  (unknown)  (unknown)
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) Fatal Python error: Aborted
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) 
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) Stack (most recent call first):
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/backends/nvidia/compiler.py", line 216 in make_llir
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/backends/nvidia/compiler.py", line 318 in <lambda>
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/compiler/compiler.py", line 282 in compile
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/runtime/jit.py", line 662 in run
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/runtime/jit.py", line 345 in <lambda>
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/attention/ops/prefix_prefill.py", line 812 in context_attention_fwd
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116 in decorate_context
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/attention/ops/paged_attn.py", line 211 in forward_prefix
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/attention/backends/xformers.py", line 608 in forward
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/attention/layer.py", line 98 in forward
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 181 in forward
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 251 in forward
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 329 in forward
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 429 in forward
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/worker/model_runner.py", line 1415 in execute_model
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116 in decorate_context
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/worker/worker_base.py", line 322 in execute_model
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/worker/worker_base.py", line 69 in start_worker_execution_loop
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116 in decorate_context
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/worker/worker_base.py", line 451 in execute_method
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/ray/util/tracing/tracing_helper.py", line 467 in _resume_span
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/ray/_private/function_manager.py", line 691 in actor_method_executor
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/ray/_private/worker.py", line 887 in main_loop
(RayWorkerWrapper pid=1335677, ip=23.248.165.188)   File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/ray/_private/workers/default_worker.py", line 289 in <module>
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) 
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) Extension modules: msgpack._cmsgpack, google._upb._message, psutil._psutil_linux, psutil._psutil_posix, setproctitle, yaml._yaml, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, uvloop.loop, ray._raylet, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, torch._C, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, msgspec._core, sentencepiece._sentencepiece, PIL._imaging, PIL._imagingft
(RayWorkerWrapper pid=1336395, ip=23.248.165.188) /model/anaconda3/envs/vllm/lib/python3.11/site-packages/xformers/ops/fmha/flash.py:344: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. [repeated 29x across cluster]
(RayWorkerWrapper pid=872908)   @torch.library.impl_abstract("xformers_flash::flash_fwd") [repeated 14x across cluster]
(RayWorkerWrapper pid=1336395, ip=23.248.165.188)   @torch.library.impl_abstract("xformers_flash::flash_bwd") [repeated 14x across cluster]
(RayWorkerWrapper pid=1335809, ip=23.248.165.188) 
(RayWorkerWrapper pid=1335809, ip=23.248.165.188) 
(RayWorkerWrapper pid=1335809, ip=23.248.165.188) Extension modules: msgpack._cmsgpack, google._upb._message, psutil._psutil_linux, psutil._psutil_posix, setproctitle, yaml._yaml, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, uvloop.loop, ray._raylet, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, torch._C, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, msgspec._core, sentencepiece._sentencepiece, PIL._imaging, PIL._imagingft, multidict._multidict, yarl._helpers_c, yarl._quoting_c, aiohttp._helpers, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket, frozenlist._frozenlist, _cffi_backend, regex._regex, scipy._lib._ccallback_c, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, pyarrow._parquet, pyarrow._fs, pyarrow._azurefs, pyarrow._hdfs, pyarrow._gcsfs, pyarrow._s3fs, xxhash._xxhash, pyarrow._json, markupsafe._speedups, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.spatial.transform._rotation, scipy.optimize._direct, zmq.backend.cython._zmq, cuda_utils (total: 162)
(RayWorkerWrapper pid=1335980, ip=23.248.165.188) 
(RayWorkerWrapper pid=1335980, ip=23.248.165.188) 
(RayWorkerWrapper pid=1335980, ip=23.248.165.188) Extension modules: msgpack._cmsgpack, google._upb._message, psutil._psutil_linux, psutil._psutil_posix, setproctitle, yaml._yaml, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, uvloop.loop, ray._raylet, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, torch._C, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, msgspec._core, sentencepiece._sentencepiece, PIL._imaging, PIL._imagingft, multidict._multidict, yarl._helpers_c, yarl._quoting_c, aiohttp._helpers, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket, frozenlist._frozenlist, _cffi_backend, regex._regex, scipy._lib._ccallback_c, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, pyarrow._parquet, pyarrow._fs, pyarrow._azurefs, pyarrow._hdfs, pyarrow._gcsfs, pyarrow._s3fs, xxhash._xxhash, pyarrow._json, markupsafe._speedups, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb
(RayWorkerWrapper pid=1335980, ip=23.248.165.188) , scipy.special._ellip_harm_2
(RayWorkerWrapper pid=1335980, ip=23.248.165.188) , scipy.spatial.transform._rotation
(RayWorkerWrapper pid=1336063, ip=23.248.165.188) 
(RayWorkerWrapper pid=1336063, ip=23.248.165.188) 
(RayWorkerWrapper pid=1336063, ip=23.248.165.188) Extension modules: msgpack._cmsgpack, google._upb._message, psutil._psutil_linux, psutil._psutil_posix, setproctitle, yaml._yaml, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, uvloop.loop, ray._raylet, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, torch._C, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, msgspec._core, sentencepiece._sentencepiece, PIL._imaging, PIL._imagingft, multidict._multidict, yarl._helpers_c, yarl._quoting_c, aiohttp._helpers, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket, frozenlist._frozenlist, _cffi_backend, regex._regex, scipy._lib._ccallback_c, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, pyarrow.lib, pandas._libs.tslibs.ccalendar
(RayWorkerWrapper pid=1336146, ip=23.248.165.188) 
(RayWorkerWrapper pid=1336146, ip=23.248.165.188) 
(RayWorkerWrapper pid=1336146, ip=23.248.165.188) Extension modules: msgpack._cmsgpack, google._upb._message, psutil._psutil_linux, psutil._psutil_posix, setproctitle, yaml._yaml, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, uvloop.loop, ray._raylet, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, torch._C, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, msgspec._core, sentencepiece._sentencepiece, PIL._imaging, PIL._imagingft, multidict._multidict, yarl._helpers_c, yarl._quoting_c, aiohttp._helpers, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket, frozenlist._frozenlist, _cffi_backend, regex._regex, scipy._lib._ccallback_c, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, pyarrow._parquet, pyarrow._fs, pyarrow._azurefs, pyarrow._hdfs, pyarrow._gcsfs, pyarrow._s3fs
(RayWorkerWrapper pid=1336146, ip=23.248.165.188) , xxhash._xxhash
(RayWorkerWrapper pid=1336229, ip=23.248.165.188) 
(RayWorkerWrapper pid=1336229, ip=23.248.165.188) 
(RayWorkerWrapper pid=1336229, ip=23.248.165.188) Extension modules: msgpack._cmsgpack, google._upb._message, psutil._psutil_linux, psutil._psutil_posix, setproctitle, yaml._yaml, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, uvloop.loop, ray._raylet, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, torch._C, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, msgspec._core, sentencepiece._sentencepiece, PIL._imaging, PIL._imagingft, multidict._multidict, yarl._helpers_c, yarl._quoting_c, aiohttp._helpers, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket, frozenlist._frozenlist, _cffi_backend, regex._regex, scipy._lib._ccallback_c, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, pyarrow._parquet, pyarrow._fs, pyarrow._azurefs, pyarrow._hdfs, pyarrow._gcsfs, pyarrow._s3fs, xxhash._xxhash, pyarrow._json, markupsafe._speedups, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff
(RayWorkerWrapper pid=1336229, ip=23.248.165.188) , scipy.special._ufuncs_cxx
(RayWorkerWrapper pid=1336312, ip=23.248.165.188) 
(RayWorkerWrapper pid=1336312, ip=23.248.165.188) 
(RayWorkerWrapper pid=1336395, ip=23.248.165.188) 
(RayWorkerWrapper pid=1336395, ip=23.248.165.188) 
(RayWorkerWrapper pid=1335677, ip=23.248.165.188) , multidict._multidict, yarl._helpers_c, yarl._quoting_c, aiohttp._helpers, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket, frozenlist._frozenlist, _cffi_backend, regex._regex, scipy._lib._ccallback_c, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, pyarrow._parquet, pyarrow._fs, pyarrow._azurefs, pyarrow._hdfs, pyarrow._gcsfs, pyarrow._s3fs, xxhash._xxhash, pyarrow._json, markupsafe._speedups, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.spatial.transform._rotation, scipy.optimize._direct, zmq.backend.cython._zmq, cuda_utils (total: 162)
(RayWorkerWrapper pid=1335980, ip=23.248.165.188) , scipy.optimize._direct, zmq.backend.cython._zmq, cuda_utils (total: 162)
(RayWorkerWrapper pid=1336063, ip=23.248.165.188) , pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, pyarrow._parquet, pyarrow._fs, pyarrow._azurefs, pyarrow._hdfs, pyarrow._gcsfs, pyarrow._s3fs, xxhash._xxhash, pyarrow._json, markupsafe._speedups, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.spatial.transform._rotation, scipy.optimize._direct, zmq.backend.cython._zmq, cuda_utils (total: 162)
(RayWorkerWrapper pid=1336146, ip=23.248.165.188) , pyarrow._json, markupsafe._speedups, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.spatial.transform._rotation, scipy.optimize._direct, zmq.backend.cython._zmq, cuda_utils (total: 162)
(RayWorkerWrapper pid=1336229, ip=23.248.165.188) , scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.spatial.transform._rotation, scipy.optimize._direct, zmq.backend.cython._zmq, cuda_utils (total: 162)
python3: /project/lib/Analysis/Allocation.cpp:47: std::pair<llvm::SmallVector<unsigned int>, llvm::SmallVector<unsigned int> > mlir::triton::getCvtOrder(mlir::Attribute, mlir::Attribute): Assertion `!(srcMmaLayout && dstMmaLayout && !srcMmaLayout.isAmpere()) && "mma -> mma layout conversion is only supported on Ampere"' failed.
*** SIGABRT received at time=1725325640 on cpu 91 ***
PC: @     0x7f9a11bba9fc  (unknown)  pthread_kill
    @     0x7f9a11b66520  (unknown)  (unknown)
[2024-09-03 01:07:20,486 E 871715 874111] logging.cc:440: *** SIGABRT received at time=1725325640 on cpu 91 ***
[2024-09-03 01:07:20,486 E 871715 874111] logging.cc:440: PC: @     0x7f9a11bba9fc  (unknown)  pthread_kill
[2024-09-03 01:07:20,486 E 871715 874111] logging.cc:440:     @     0x7f9a11b66520  (unknown)  (unknown)
Fatal Python error: Aborted

Stack (most recent call first):
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/backends/nvidia/compiler.py", line 216 in make_llir
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/backends/nvidia/compiler.py", line 318 in <lambda>
 File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/compiler/compiler.py", line 282 in compile
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/runtime/jit.py", line 662 in run
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/triton/runtime/jit.py", line 345 in <lambda>
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/attention/ops/prefix_prefill.py", line 812 in context_attention_fwd
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116 in decorate_context
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/attention/ops/paged_attn.py", line 211 in forward_prefix
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/attention/backends/xformers.py", line 608 in forward
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/attention/layer.py", line 98 in forward
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 181 in forward
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 251 in forward
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 329 in forward
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/model_executor/models/llama.py", line 429 in forward
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/worker/model_runner.py", line 1415 in execute_model
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116 in decorate_context
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/worker/worker_base.py", line 322 in execute_model
  File "/model/anaconda3/envs/vllm/lib/python3.11/site-packages/vllm/worker/worker_base.py", line 451 in execute_method
  File "/model/anaconda3/envs/vllm/lib/python3.11/concurrent/futures/thread.py", line 58 in run
  File "/model/anaconda3/envs/vllm/lib/python3.11/concurrent/futures/thread.py", line 83 in _worker
  File "/model/anaconda3/envs/vllm/lib/python3.11/threading.py", line 982 in run
  File "/model/anaconda3/envs/vllm/lib/python3.11/threading.py", line 1045 in _bootstrap_inner
  File "/model/anaconda3/envs/vllm/lib/python3.11/threading.py", line 1002 in _bootstrap

Extension modules: numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, torch._C, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, charset_normalizer.md, requests.packages.charset_normalizer.md, requests.packages.chardet.md, yaml._yaml, msgspec._core, psutil._psutil_linux, psutil._psutil_posix, sentencepiece._sentencepiece, PIL._imaging, PIL._imagingft, msgpack._cmsgpack, google._upb._message, setproctitle, uvloop.loop, ray._raylet, multidict._multidict, yarl._helpers_c, yarl._quoting_c, aiohttp._helpers, aiohttp._http_writer, aiohttp._http_parser, aiohttp._websocket, frozenlist._frozenlist, _cffi_backend, regex._regex, scipy._lib._ccallback_c, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, pyarrow._parquet, pyarrow._fs, pyarrow._azurefs, pyarrow._hdfs, pyarrow._gcsfs, pyarrow._s3fs, xxhash._xxhash, pyarrow._json, markupsafe._speedups, zmq.backend.cython._zmq, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.spatial.transform._rotation, scipy.optimize._direct, cuda_utils (total: 162)
INFO 09-03 01:08:18 logger.py:36] Received request chat-6346f77e4e534395b4e3e0b6b5bacadc: prompt: '<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\nnpm (network performance monitoring)主要 解决了什么问题,详细解释一下它的作用，并对企业或者运营商提供的价值是什么<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n', params: SamplingParams(n=1, best_of=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=0.6, top_p=1.0, top_k=-1, min_p=0.0, seed=None, use_beam_search=False, length_penalty=1.0, early_stopping=False, stop=[], stop_token_ids=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=16384, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None), prompt_token_ids: [128000, 128006, 882, 128007, 271, 41139, 320, 17969, 5178, 16967, 8, 105572, 114914, 35287, 101879, 87219, 11, 67933, 105986, 50338, 69962, 111230, 103282, 9554, 113266, 91495, 33764, 105231, 108966, 91940, 104424, 33122, 104908, 9554, 121637, 119294, 128009, 128006, 78191, 128007, 271], lora_request: None, prompt_adapter_request: None.
INFO:     192.254.90.4:49948 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 09-03 01:09:20 logger.py:36] Received request chat-162ea184390a488c9684a7ff501eb5ea: prompt: '<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\nnpm (network performance monitoring)主要解决了什么问题,详细解释一下它的作用，并对企业或者运营商提供的价值是什么<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n', params: SamplingParams(n=1, best_of=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=0.6, top_p=1.0, top_k=-1, min_p=0.0, seed=None, use_beam_search=False, length_penalty=1.0, early_stopping=False, stop=[], stop_token_ids=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=16384, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None), prompt_token_ids: [128000, 128006, 882, 128007, 271, 41139, 320, 17969, 5178, 16967, 8, 105572, 114914, 35287, 101879, 87219, 11, 67933, 105986, 50338, 69962, 111230, 103282, 9554, 113266, 91495, 33764, 105231, 108966, 91940, 104424, 33122, 104908, 9554, 121637, 119294, 128009, 128006, 78191, 128007, 271], lora_request: None, prompt_adapter_request: None.
INFO:     192.254.90.4:41746 - "POST /v1/chat/completions HTTP/1.1" 200 OK
^CINFO 09-03 01:09:36 launcher.py:67] Gracefully stopping http server
INFO:     Shutting down
INFO:     Waiting for application shutdown.

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vllm-project / vllm