• Members 10 posts
    2026年7月8日 10:28

    沐曦卡和驱动信息:
    mx-smi
    mx-smi version: 2.3.1

    =================== MetaX System Management Interface Log ===================
    Timestamp : Wed Jul 8 10:26:24 2026

    Attached GPUs : 4
    +---------------------------------------------------------------------------------+
    | MX-SMI 2.3.1 Kernel Mode Driver Version: 3.8.30 |
    | MACA Version: 3.7.1.5 BIOS Version: 1.33.5.0 |
    |------------------+-----------------+---------------------+----------------------|
    | Board Name | GPU Persist-M | Bus-id | GPU-Util sGPU-M |
    | Pwr:Usage/Cap | Temp Perf | Memory-Usage | GPU-State |
    |==================+=================+=====================+======================|
    | 0 MetaX C500 | 0 Off | 0000:38:00.0 | 0% Disabled |
    | 31W / 350W | 37C P0 | 858/65536 MiB | Available |
    +------------------+-----------------+---------------------+----------------------+
    | 1 MetaX C500 | 1 Off | 0000:49:00.0 | 0% Disabled |
    | 32W / 350W | 35C P0 | 858/65536 MiB | Available |
    +------------------+-----------------+---------------------+----------------------+
    | 2 MetaX C500 | 2 Off | 0000:98:00.0 | 0% Disabled |
    | 34W / 350W | 39C P0 | 858/65536 MiB | Available |
    +------------------+-----------------+---------------------+----------------------+
    | 3 MetaX C500 | 3 Off | 0000:c8:00.0 | 0% Disabled |
    | 31W / 350W | 38C P0 | 858/65536 MiB | Available |
    +------------------+-----------------+---------------------+----------------------+

    +---------------------------------------------------------------------------------+
    | Process: |
    | GPU PID Process Name GPU Memory |
    | Usage(MiB) |
    |=================================================================================|
    | no process found |
    +---------------------------------------------------------------------------------+

    docker容器启动命令:
    docker run -d \
    --network host \
    --ipc=host \
    --name=sglang-mx \
    --shm-size 100G \
    --ulimit memlock=-1 \
    --ulimit nofile=1024000 \
    --device=/dev/dri \
    --device=/dev/mxcd \
    --device=/dev/mem \
    --group-add video \
    --security-opt seccomp=unconfined \
    --security-opt apparmor=unconfined \
    -v /data/models/:/models:ro \
    cr.metax-tech.com/public-ai-release/maca/sglang:0.5.11-maca.ai3.7.1.107-torch2.8-py310-kylinv11-amd64 \
    sleep infinity

    sglang启动命令:
    python -m sglang.launch_server --model-path /models/DeepSeek-R1-Distill-Qwen-7B --host 0.0.0.0 --port 9100 --served-model-name deepseek --tensor-parallel-size 2 --mem-fraction-static 0.7 --nccl-port 29500 --trust-remote-code --enable-metrics --attention-backend triton --cpu-offload-gb 0 --disable-cuda-graph

    错误日志:
    python -m sglang.launch_server --model-path /models/DeepSeek-R1-Distill-Qwen-7B --host 0.0.0.0 --port 9100 --served-model-name deepseek --tensor-parallel-size 2 --mem-fraction-static 0.7 --nccl-port 29500 --trust-remote-code --enable-metrics --attention-backend triton --cpu-offload-gb 0 --disable-cuda-graph
    INFO Print the version information of mcoplib during compilation.

    Version info:Mcoplib_Version = '0.4.4'
    Build_Maca_Version = '3.7.1.5'
    GIT_BRANCH = 'HEAD'
    GIT_COMMIT = '4d9c16e'
    Vllm Op Version = 0.19.0
    SGlang Op Version = 0.5.10

    INFO Staring Check the current MACA version of the operating environment.

    INFO: Release major.minor matching, successful:3.7.

    W0708 10:19:42.990000 1905 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
    W0708 10:19:42.990000 1905 site-packages/torch/utils/cpp_extension.py:2527] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.
    /opt/conda/lib/python3.10/site-packages/torchvision/datapoints/init.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/init.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/sglang/launch_server.py:60: UserWarning: 'python -m sglang.launch_server' is still supported, but 'sglang serve' is the recommended entrypoint.
    Example: sglang serve --model-path <model> [options]
    warnings.warn(
    [2026-07-08 10:19:46] Cuda graph max bs is adjusted to 128.
    [2026-07-08 10:19:47] flashinfer.comm is not available, falling back to standard implementation
    [2026-07-08 10:19:48] server_args=ServerArgs(model_path='/models/DeepSeek-R1-Distill-Qwen-7B', tokenizer_path='/models/DeepSeek-R1-Distill-Qwen-7B', tokenizer_mode='auto', tokenizer_backend='huggingface', tokenizer_worker_num=1, detokenizer_worker_num=1, skip_tokenizer_init=False, load_format='auto', model_loader_extra_config='{}', trust_remote_code=True, context_length=None, is_embedding=False, enable_multimodal=None, revision=None, model_impl='auto', host='0.0.0.0', port=9100, fastapi_root_path='', grpc_mode=False, skip_server_warmup=False, warmups=None, nccl_port=29500, checkpoint_engine_wait_weights_before_ready=False, ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, ssl_keyfile_password=None, enable_ssl_refresh=False, enable_http2=False, dtype='auto', quantization=None, quantization_param_path=None, kv_cache_dtype='auto', enable_fp32_lm_head=False, modelopt_quant=None, modelopt_checkpoint_restore_path=None, modelopt_checkpoint_save_path=None, modelopt_export_path=None, quantize_and_serve=False, rl_quant_profile=None, mem_fraction_static=0.7, max_running_requests=None, max_queued_requests=None, max_total_tokens=None, chunked_prefill_size=8200, enable_dynamic_chunking=False, max_prefill_tokens=16384, prefill_max_requests=None, schedule_policy='fcfs', enable_priority_scheduling=False, disable_priority_preemption=False, default_priority_value=None, abort_on_priority_when_disabled=False, schedule_low_priority_values_first=False, priority_scheduling_preemption_threshold=10, schedule_conservativeness=1.0, page_size=1, swa_full_tokens_ratio=0.8, disable_hybrid_swa_memory=False, radix_eviction_policy='lru', enable_prefill_delayer=False, prefill_delayer_max_delay_passes=30, prefill_delayer_token_usage_low_watermark=None, prefill_delayer_forward_passes_buckets=None, prefill_delayer_wait_seconds_buckets=None, device='cuda', tp_size=2, pp_size=1, pp_max_micro_batch_size=None, pp_async_batch_depth=0, stream_interval=1, batch_notify_size=16, stream_response_default_include_usage=False, incremental_streaming_output=False, enable_streaming_session=False, random_seed=186191225, constrained_json_whitespace_pattern=None, constrained_json_disable_any_whitespace=False, watchdog_timeout=300, soft_watchdog_timeout=None, dist_timeout=None, download_dir=None, model_checksum=None, base_gpu_id=0, gpu_id_step=1, sleep_on_idle=False, use_ray=False, custom_sigquit_handler=None, log_level='info', log_level_http=None, log_requests=False, log_requests_level=2, log_requests_format='text', log_requests_target=None, uvicorn_access_log_exclude_prefixes=[], crash_dump_folder=None, show_time_cost=False, enable_metrics=True, grpc_http_sidecar_port=None, enable_mfu_metrics=False, enable_metrics_for_all_schedulers=False, tokenizer_metrics_custom_labels_header='x-custom-labels', tokenizer_metrics_allowed_custom_labels=None, extra_metric_labels=None, bucket_time_to_first_token=None, bucket_inter_token_latency=None, bucket_e2e_request_latency=None, prompt_tokens_buckets=None, generation_tokens_buckets=None, gc_warning_threshold_secs=0.0, decode_log_interval=40, enable_request_time_stats_logging=False, kv_events_config=None, enable_trace=False, otlp_traces_endpoint='localhost:4317', export_metrics_to_file=False, export_metrics_to_file_dir=None, api_key=None, admin_api_key=None, served_model_name='deepseek', weight_version='default', chat_template=None, hf_chat_template_name=None, completion_template=None, file_storage_path='sglang_storage', enable_cache_report=False, reasoning_parser=None, strip_thinking_cache=False, tool_call_parser=None, tool_server=None, sampling_defaults='model', dp_size=1, load_balance_method='round_robin', attn_cp_size=1, moe_dp_size=1, dist_init_addr=None, nnodes=1, node_rank=0, json_model_override_args='{}', preferred_sampling_params=None, enable_lora=None, enable_lora_overlap_loading=None, max_lora_rank=None, lora_target_modules=None, lora_paths=None, max_loaded_loras=None, max_loras_per_batch=8, lora_eviction_policy='lru', lora_backend='csgmv', max_lora_chunk_size=16, experts_shared_outer_loras=None, lora_use_virtual_experts=False, lora_strict_loading=False, attention_backend='triton', decode_attention_backend=None, prefill_attention_backend=None, sampling_backend='flashinfer', grammar_backend='xgrammar', mm_attention_backend=None, fp8_gemm_runner_backend='auto', fp4_gemm_runner_backend='auto', nsa_prefill_backend='flashmla_sparse', nsa_decode_backend='flashmla_kv', disable_flashinfer_autotune=False, mamba_backend='triton', speculative_algorithm=None, speculative_draft_model_path=None, speculative_draft_model_revision=None, speculative_draft_load_format=None, speculative_num_steps=None, speculative_eagle_topk=None, speculative_num_draft_tokens=None, speculative_dflash_block_size=None, speculative_dflash_draft_window_size=None, speculative_accept_threshold_single=1.0, speculative_accept_threshold_acc=1.0, speculative_token_map=None, speculative_attention_mode='prefill', speculative_draft_attention_backend=None, speculative_moe_runner_backend='auto', speculative_moe_a2a_backend=None, speculative_draft_model_quantization=None, speculative_adaptive=False, speculative_adaptive_config=None, speculative_skip_dp_mlp_sync=False, speculative_ngram_min_bfs_breadth=1, speculative_ngram_max_bfs_breadth=10, speculative_ngram_match_type='BFS', speculative_ngram_max_trie_depth=18, speculative_ngram_capacity=10000000, speculative_ngram_external_corpus_path=None, speculative_ngram_external_sam_budget=0, speculative_ngram_external_corpus_max_tokens=10000000, enable_multi_layer_eagle=False, ep_size=1, moe_a2a_backend='none', moe_runner_backend='auto', record_nolora_graph=True, flashinfer_mxfp4_moe_precision='default', enable_flashinfer_allreduce_fusion=False, enforce_disable_flashinfer_allreduce_fusion=False, enable_aiter_allreduce_fusion=False, deepep_mode='auto', ep_num_redundant_experts=0, ep_dispatch_algorithm=None, init_expert_location='trivial', enable_eplb=False, eplb_algorithm='auto', eplb_rebalance_num_iterations=1000, eplb_rebalance_layers_per_chunk=None, eplb_min_rebalancing_utilization_threshold=1.0, expert_distribution_recorder_mode=None, expert_distribution_recorder_buffer_size=1000, enable_expert_distribution_metrics=False, deepep_config=None, moe_dense_tp_size=None, elastic_ep_backend=None, enable_elastic_expert_backup=False, mooncake_ib_device=None, elastic_ep_rejoin=False, max_mamba_cache_size=None, mamba_ssm_dtype=None, mamba_full_memory_ratio=0.9, mamba_scheduler_strategy='no_buffer', mamba_track_interval=256, linear_attn_backend='triton', linear_attn_decode_backend=None, linear_attn_prefill_backend=None, enable_hierarchical_cache=False, hicache_ratio=2.0, hicache_size=0, hicache_write_policy='write_through', hicache_io_backend='kernel', hicache_mem_layout='layer_first', hicache_storage_backend=None, hicache_storage_prefetch_policy='best_effort', hicache_storage_backend_extra_config=None, enable_hisparse=False, hisparse_config=None, enable_lmcache=False, kt_weight_path=None, kt_method='AMXINT4', kt_cpuinfer=None, kt_threadpool_count=2, kt_num_gpu_experts=None, kt_max_deferred_experts_per_token=None, dllm_algorithm=None, dllm_algorithm_config=None, cpu_offload_gb=0, offload_group_size=-1, offload_num_in_group=1, offload_prefetch_step=1, offload_mode='cpu', enable_mis=False, disable_radix_cache=False, cuda_graph_max_bs=128, cuda_graph_bs=None, disable_cuda_graph=True, disable_cuda_graph_padding=False, enable_breakable_cuda_graph=False, enable_profile_cuda_graph=False, enable_cudagraph_gc=False, debug_cuda_graph=False, enable_layerwise_nvtx_marker=False, enable_nccl_nvls=False, enable_symm_mem=False, disable_flashinfer_cutlass_moe_fp4_allgather=False, enable_tokenizer_batch_encode=False, disable_tokenizer_batch_decode=False, disable_outlines_disk_cache=False, disable_custom_all_reduce=False, enable_mscclpp=False, enable_torch_symm_mem=False, pre_warm_nccl=False, disable_overlap_schedule=False, enable_mixed_chunk=False, enable_dp_attention=False, enable_dp_attention_local_control_broadcast=False, enable_dp_lm_head=False, enable_two_batch_overlap=False, enable_single_batch_overlap=False, tbo_token_distribution_threshold=0.48, enable_torch_compile=False, disable_piecewise_cuda_graph=False, enforce_piecewise_cuda_graph=False, enable_torch_compile_debug_mode=False, torch_compile_max_bs=32, piecewise_cuda_graph_max_tokens=8200, piecewise_cuda_graph_tokens=[4, 8, 12, 16, 20, 24, 28, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240, 256, 288, 320, 352, 384, 416, 448, 480, 512, 576, 640, 704, 768, 832, 896, 960, 1024, 1280, 1536, 1792, 2048, 2304, 2560, 2816, 3072, 3328, 3584, 3840, 4096, 4608, 5120, 5632, 6144, 6656, 7168, 7680, 8192], piecewise_cuda_graph_compiler='eager', torchao_config='', enable_nan_detection=False, enable_p2p_check=False, triton_attention_reduce_in_fp32=False, triton_attention_num_kv_splits=8, triton_attention_split_tile_size=None, num_continuous_decode_steps=1, delete_ckpt_after_loading=False, enable_memory_saver=False, enable_weights_cpu_backup=False, enable_draft_weights_cpu_backup=False, allow_auto_truncate=False, enable_custom_logit_processor=False, flashinfer_mla_disable_ragged=False, disable_shared_experts_fusion=False, enforce_shared_experts_fusion=False, disable_chunked_prefix_cache=False, disable_fast_image_processor=False, keep_mm_feature_on_device=False, enable_return_hidden_states=False, enable_return_routed_experts=False, scheduler_recv_interval=1, numa_node=None, enable_deterministic_inference=False, rl_on_policy_target=None, enable_attn_tp_input_scattered=False, gc_threshold=None, enable_nsa_prefill_context_parallel=False, nsa_prefill_cp_mode='round-robin-split', enable_fused_qk_norm_rope=False, enable_precise_embedding_interpolation=False, enable_fused_moe_sum_all_reduce=False, enable_prefill_context_parallel=False, prefill_cp_mode='in-seq-split', enable_dynamic_batch_tokenizer=False, dynamic_batch_tokenizer_batch_size=32, dynamic_batch_tokenizer_batch_timeout=0.002, debug_tensor_dump_output_folder=None, debug_tensor_dump_layers=None, debug_tensor_dump_input_file=None, debug_tensor_dump_inject=False, disaggregation_mode='null', disaggregation_transfer_backend='mooncake', disaggregation_bootstrap_port=8998, disaggregation_ib_device=None, disaggregation_decode_enable_radix_cache=False, disaggregation_decode_enable_offload_kvcache=False, num_reserved_decode_tokens=512, disaggregation_decode_polling_interval=1, encoder_only=False, language_only=False, encoder_transfer_backend='zmq_to_scheduler', encoder_urls=[], enable_adaptive_dispatch_to_encoder=False, custom_weight_loader=[], weight_loader_disable_mmap=False, weight_loader_prefetch_checkpoints=False, weight_loader_prefetch_num_threads=4, remote_instance_weight_loader_seed_instance_ip=None, remote_instance_weight_loader_seed_instance_service_port=None, remote_instance_weight_loader_send_weights_group_ports=None, remote_instance_weight_loader_backend='nccl', remote_instance_weight_loader_start_seed_via_transfer_engine=False, engine_info_bootstrap_port=6789, modelexpress_config=None, enable_pdmux=False, pdmux_config_path=None, sm_group_num=8, enable_broadcast_mm_inputs_process=False, enable_prefix_mm_cache=False, mm_enable_dp_encoder=False, mm_process_config={}, limit_mm_data_per_request=None, enable_mm_global_cache=False, decrypted_config_file=None, decrypted_draft_config_file=None, forward_hooks=None, enable_quant_communications=False, msprobe_dump_config=None)
    [2026-07-08 10:19:49] Fixing v5 tokenizer component mismatch for /models/DeepSeek-R1-Distill-Qwen-7B: pre_tokenizer Metaspace -> Sequence, decoder Sequence -> ByteLevel
    [2026-07-08 10:19:49] Restoring add_bos_token=True for /models/DeepSeek-R1-Distill-Qwen-7B (was False after v5 loading)
    [2026-07-08 10:19:49] Using default HuggingFace chat template with detected content format: string
    INFO Print the version information of mcoplib during compilation.

    Version info:Mcoplib_Version = '0.4.4'
    Build_Maca_Version = '3.7.1.5'
    GIT_BRANCH = 'HEAD'
    GIT_COMMIT = '4d9c16e'
    Vllm Op Version = 0.19.0
    SGlang Op Version = 0.5.10

    INFO Staring Check the current MACA version of the operating environment.

    INFO: Release major.minor matching, successful:3.7.

    INFO Print the version information of mcoplib during compilation.

    Version info:Mcoplib_Version = '0.4.4'
    Build_Maca_Version = '3.7.1.5'
    GIT_BRANCH = 'HEAD'
    GIT_COMMIT = '4d9c16e'
    Vllm Op Version = 0.19.0
    SGlang Op Version = 0.5.10

    INFO Staring Check the current MACA version of the operating environment.

    INFO: Release major.minor matching, successful:3.7.

    INFO Print the version information of mcoplib during compilation.

    Version info:Mcoplib_Version = '0.4.4'
    Build_Maca_Version = '3.7.1.5'
    GIT_BRANCH = 'HEAD'
    GIT_COMMIT = '4d9c16e'
    Vllm Op Version = 0.19.0
    SGlang Op Version = 0.5.10

    INFO Staring Check the current MACA version of the operating environment.

    INFO: Release major.minor matching, successful:3.7.

    W0708 10:20:13.533000 2113 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
    W0708 10:20:13.533000 2113 site-packages/torch/utils/cpp_extension.py:2527] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.
    W0708 10:20:13.533000 2111 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
    W0708 10:20:13.533000 2111 site-packages/torch/utils/cpp_extension.py:2527] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.
    W0708 10:20:13.533000 2112 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
    W0708 10:20:13.533000 2112 site-packages/torch/utils/cpp_extension.py:2527] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.
    /opt/conda/lib/python3.10/site-packages/torchvision/datapoints/init.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/datapoints/init.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/datapoints/init.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/init.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/init.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/init.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    flashinfer.comm is not available, falling back to standard implementation
    flashinfer.comm is not available, falling back to standard implementation
    flashinfer.comm is not available, falling back to standard implementation
    [2026-07-08 10:20:20 TP0] Fixing v5 tokenizer component mismatch for /models/DeepSeek-R1-Distill-Qwen-7B: pre_tokenizer Metaspace -> Sequence, decoder Sequence -> ByteLevel
    [2026-07-08 10:20:20 TP0] Restoring add_bos_token=True for /models/DeepSeek-R1-Distill-Qwen-7B (was False after v5 loading)
    [2026-07-08 10:20:20] Fixing v5 tokenizer component mismatch for /models/DeepSeek-R1-Distill-Qwen-7B: pre_tokenizer Metaspace -> Sequence, decoder Sequence -> ByteLevel
    [2026-07-08 10:20:20 TP1] Fixing v5 tokenizer component mismatch for /models/DeepSeek-R1-Distill-Qwen-7B: pre_tokenizer Metaspace -> Sequence, decoder Sequence -> ByteLevel
    [2026-07-08 10:20:20] Restoring add_bos_token=True for /models/DeepSeek-R1-Distill-Qwen-7B (was False after v5 loading)
    [2026-07-08 10:20:20 TP0] Init torch distributed begin.
    [2026-07-08 10:20:20 TP1] Restoring add_bos_token=True for /models/DeepSeek-R1-Distill-Qwen-7B (was False after v5 loading)
    [2026-07-08 10:20:20 TP1] Init torch distributed begin.
    [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1
    [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1
    [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1
    [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1
    [2026-07-08 10:20:20 TP0] sglang is using nccl==2.16.5
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [2026-07-08 10:20:20 TP0] DCP disabled, dcp_size=1, tp_size=2
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [2026-07-08 10:20:20 TP1] Init torch distributed ends. elapsed=0.61 s, mem usage=0.08 GB
    [2026-07-08 10:20:20 TP0] Init torch distributed ends. elapsed=0.65 s, mem usage=0.08 GB
    [2026-07-08 10:20:22 TP0] Load weight begin. avail mem=62.03 GB
    [2026-07-08 10:20:22 TP1] Load weight begin. avail mem=62.03 GB
    Multi-thread loading shards: 50% Completed | 1/2 [00:13<00:13, 13.38s/it]
    muxi:2111:2831 [0] /workspace/out/Release/build/linux/x86_64/mccl/macaify/src/misc/socket.cc:38 MCCL WARN socketProgressOpt: Call to recv from 127.0.0.1<48913> failed : Connection reset by peer

    muxi:2111:2831 [0] /workspace/out/Release/build/linux/x86_64/mccl/macaify/src/misc/socket.cc:567 MCCL WARN socketStartConnect: Connect to 127.0.0.1<48913> failed : Software caused connection abort

    muxi:2111:2831 [0] /workspace/out/Release/build/linux/x86_64/mccl/macaify/src/misc/socket.cc:567 MCCL WARN socketStartConnect: Connect to 127.0.0.1<48913> failed : Software caused connection abort
    Multi-thread loading shards: 100% Completed | 2/2 [00:16<00:00, 8.41s/it]
    [2026-07-08 10:20:38 TP0] Load weight end. elapsed=16.99 s, type=Qwen2ForCausalLM, avail mem=54.71 GB, mem usage=7.32 GB.

    muxi:2111:2831 [0] /workspace/out/Release/build/linux/x86_64/mccl/macaify/src/misc/socket.cc:567 MCCL WARN socketStartConnect: Connect to 127.0.0.1<48913> failed : Software caused connection abort
    [2026-07-08 10:20:39 TP0] Scheduler hit an exception: Traceback (most recent call last):
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/managers/scheduler.py", line 3943, in run_scheduler_process
    scheduler = Scheduler(
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/managers/scheduler.py", line 439, in init
    self.init_model_worker()
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/managers/scheduler.py", line 714, in init_model_worker
    self.init_tp_model_worker()
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/managers/scheduler.py", line 669, in init_tp_model_worker
    self.tp_worker = TpModelWorker(**worker_kwargs)
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/managers/tp_worker.py", line 260, in init
    self._init_model_runner()
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/managers/tp_worker.py", line 345, in _init_model_runner
    self._model_runner = ModelRunner(
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/model_executor/model_runner.py", line 510, in init
    self.initialize(pre_model_load_memory)
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/model_executor/model_runner.py", line 627, in initialize
    self.load_model()
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/model_executor/model_runner.py", line 1535, in load_model
    raise ValueError(
    ValueError: TP rank 0 could finish the model loading, but there are other ranks that didn't finish loading. It is likely due to unexpected failures (e.g., OOM) or a slow node.

    [2026-07-08 10:20:39] Received sigquit from a child process. It usually means the child failed.

  • arrow_forward

    Thread has been moved from 公共.

  • Members 650 posts
    2026年7月8日 10:36

    尊敬的开发者您好,请使用flashinfer Attention后端尝试

  • Members 10 posts
    2026年7月8日 10:40

    使用python -m sglang.launch_server --model-path /models/DeepSeek-R1-Distill-Qwen-7B \
    --host 0.0.0.0 \
    --port 9100 \
    --served-model-name deepseek \
    --tensor-parallel-size 2 \
    --mem-fraction-static 0.7 \
    --trust-remote-code \
    --attention-backend flashinfer \
    --enable-metrics \
    --disable-radix-cache \
    --disable-chunked-prefix-cache \
    --disable-cuda-graph 启动命令 仍然报内存溢出错误日志如下:

    python -m sglang.launch_server --model-path /models/DeepSeek-R1-Distill-Qwen-7B \

    --host 0.0.0.0 \
    --port 9100 \
    --served-model-name deepseek \
    --tensor-parallel-size 2 \
    --mem-fraction-static 0.7 \
    --trust-remote-code \
    --attention-backend flashinfer \
    --enable-metrics \
    --disable-radix-cache \
    --disable-chunked-prefix-cache \
    --disable-cuda-graph
    INFO Print the version information of mcoplib during compilation.

    Version info:Mcoplib_Version = '0.4.4'
    Build_Maca_Version = '3.7.1.5'
    GIT_BRANCH = 'HEAD'
    GIT_COMMIT = '4d9c16e'
    Vllm Op Version = 0.19.0
    SGlang Op Version = 0.5.10

    INFO Staring Check the current MACA version of the operating environment.

    INFO: Release major.minor matching, successful:3.7.

    /opt/conda/lib/python3.10/site-packages/torchvision/datapoints/init.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/init.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/sglang/launch_server.py:60: UserWarning: 'python -m sglang.launch_server' is still supported, but 'sglang serve' is the recommended entrypoint.
    Example: sglang serve --model-path <model> [options]
    warnings.warn(
    [2026-07-08 10:34:21] Cuda graph max bs is adjusted to 128.
    [2026-07-08 10:34:22] flashinfer.comm is not available, falling back to standard implementation
    [2026-07-08 10:34:23] server_args=ServerArgs(model_path='/models/DeepSeek-R1-Distill-Qwen-7B', tokenizer_path='/models/DeepSeek-R1-Distill-Qwen-7B', tokenizer_mode='auto', tokenizer_backend='huggingface', tokenizer_worker_num=1, detokenizer_worker_num=1, skip_tokenizer_init=False, load_format='auto', model_loader_extra_config='{}', trust_remote_code=True, context_length=None, is_embedding=False, enable_multimodal=None, revision=None, model_impl='auto', host='0.0.0.0', port=9100, fastapi_root_path='', grpc_mode=False, skip_server_warmup=False, warmups=None, nccl_port=None, checkpoint_engine_wait_weights_before_ready=False, ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, ssl_keyfile_password=None, enable_ssl_refresh=False, enable_http2=False, dtype='auto', quantization=None, quantization_param_path=None, kv_cache_dtype='auto', enable_fp32_lm_head=False, modelopt_quant=None, modelopt_checkpoint_restore_path=None, modelopt_checkpoint_save_path=None, modelopt_export_path=None, quantize_and_serve=False, rl_quant_profile=None, mem_fraction_static=0.7, max_running_requests=None, max_queued_requests=None, max_total_tokens=None, chunked_prefill_size=8200, enable_dynamic_chunking=False, max_prefill_tokens=16384, prefill_max_requests=None, schedule_policy='fcfs', enable_priority_scheduling=False, disable_priority_preemption=False, default_priority_value=None, abort_on_priority_when_disabled=False, schedule_low_priority_values_first=False, priority_scheduling_preemption_threshold=10, schedule_conservativeness=1.0, page_size=1, swa_full_tokens_ratio=0.8, disable_hybrid_swa_memory=False, radix_eviction_policy='lru', enable_prefill_delayer=False, prefill_delayer_max_delay_passes=30, prefill_delayer_token_usage_low_watermark=None, prefill_delayer_forward_passes_buckets=None, prefill_delayer_wait_seconds_buckets=None, device='cuda', tp_size=2, pp_size=1, pp_max_micro_batch_size=None, pp_async_batch_depth=0, stream_interval=1, batch_notify_size=16, stream_response_default_include_usage=False, incremental_streaming_output=False, enable_streaming_session=False, random_seed=147146915, constrained_json_whitespace_pattern=None, constrained_json_disable_any_whitespace=False, watchdog_timeout=300, soft_watchdog_timeout=None, dist_timeout=None, download_dir=None, model_checksum=None, base_gpu_id=0, gpu_id_step=1, sleep_on_idle=False, use_ray=False, custom_sigquit_handler=None, log_level='info', log_level_http=None, log_requests=False, log_requests_level=2, log_requests_format='text', log_requests_target=None, uvicorn_access_log_exclude_prefixes=[], crash_dump_folder=None, show_time_cost=False, enable_metrics=True, grpc_http_sidecar_port=None, enable_mfu_metrics=False, enable_metrics_for_all_schedulers=False, tokenizer_metrics_custom_labels_header='x-custom-labels', tokenizer_metrics_allowed_custom_labels=None, extra_metric_labels=None, bucket_time_to_first_token=None, bucket_inter_token_latency=None, bucket_e2e_request_latency=None, prompt_tokens_buckets=None, generation_tokens_buckets=None, gc_warning_threshold_secs=0.0, decode_log_interval=40, enable_request_time_stats_logging=False, kv_events_config=None, enable_trace=False, otlp_traces_endpoint='localhost:4317', export_metrics_to_file=False, export_metrics_to_file_dir=None, api_key=None, admin_api_key=None, served_model_name='deepseek', weight_version='default', chat_template=None, hf_chat_template_name=None, completion_template=None, file_storage_path='sglang_storage', enable_cache_report=False, reasoning_parser=None, strip_thinking_cache=False, tool_call_parser=None, tool_server=None, sampling_defaults='model', dp_size=1, load_balance_method='round_robin', attn_cp_size=1, moe_dp_size=1, dist_init_addr=None, nnodes=1, node_rank=0, json_model_override_args='{}', preferred_sampling_params=None, enable_lora=None, enable_lora_overlap_loading=None, max_lora_rank=None, lora_target_modules=None, lora_paths=None, max_loaded_loras=None, max_loras_per_batch=8, lora_eviction_policy='lru', lora_backend='csgmv', max_lora_chunk_size=16, experts_shared_outer_loras=None, lora_use_virtual_experts=False, lora_strict_loading=False, attention_backend='flashinfer', decode_attention_backend=None, prefill_attention_backend=None, sampling_backend='flashinfer', grammar_backend='xgrammar', mm_attention_backend=None, fp8_gemm_runner_backend='auto', fp4_gemm_runner_backend='auto', nsa_prefill_backend='flashmla_sparse', nsa_decode_backend='flashmla_kv', disable_flashinfer_autotune=False, mamba_backend='triton', speculative_algorithm=None, speculative_draft_model_path=None, speculative_draft_model_revision=None, speculative_draft_load_format=None, speculative_num_steps=None, speculative_eagle_topk=None, speculative_num_draft_tokens=None, speculative_dflash_block_size=None, speculative_dflash_draft_window_size=None, speculative_accept_threshold_single=1.0, speculative_accept_threshold_acc=1.0, speculative_token_map=None, speculative_attention_mode='prefill', speculative_draft_attention_backend=None, speculative_moe_runner_backend='auto', speculative_moe_a2a_backend=None, speculative_draft_model_quantization=None, speculative_adaptive=False, speculative_adaptive_config=None, speculative_skip_dp_mlp_sync=False, speculative_ngram_min_bfs_breadth=1, speculative_ngram_max_bfs_breadth=10, speculative_ngram_match_type='BFS', speculative_ngram_max_trie_depth=18, speculative_ngram_capacity=10000000, speculative_ngram_external_corpus_path=None, speculative_ngram_external_sam_budget=0, speculative_ngram_external_corpus_max_tokens=10000000, enable_multi_layer_eagle=False, ep_size=1, moe_a2a_backend='none', moe_runner_backend='auto', record_nolora_graph=True, flashinfer_mxfp4_moe_precision='default', enable_flashinfer_allreduce_fusion=False, enforce_disable_flashinfer_allreduce_fusion=False, enable_aiter_allreduce_fusion=False, deepep_mode='auto', ep_num_redundant_experts=0, ep_dispatch_algorithm=None, init_expert_location='trivial', enable_eplb=False, eplb_algorithm='auto', eplb_rebalance_num_iterations=1000, eplb_rebalance_layers_per_chunk=None, eplb_min_rebalancing_utilization_threshold=1.0, expert_distribution_recorder_mode=None, expert_distribution_recorder_buffer_size=1000, enable_expert_distribution_metrics=False, deepep_config=None, moe_dense_tp_size=None, elastic_ep_backend=None, enable_elastic_expert_backup=False, mooncake_ib_device=None, elastic_ep_rejoin=False, max_mamba_cache_size=None, mamba_ssm_dtype=None, mamba_full_memory_ratio=0.9, mamba_scheduler_strategy='no_buffer', mamba_track_interval=256, linear_attn_backend='triton', linear_attn_decode_backend=None, linear_attn_prefill_backend=None, enable_hierarchical_cache=False, hicache_ratio=2.0, hicache_size=0, hicache_write_policy='write_through', hicache_io_backend='kernel', hicache_mem_layout='layer_first', hicache_storage_backend=None, hicache_storage_prefetch_policy='best_effort', hicache_storage_backend_extra_config=None, enable_hisparse=False, hisparse_config=None, enable_lmcache=False, kt_weight_path=None, kt_method='AMXINT4', kt_cpuinfer=None, kt_threadpool_count=2, kt_num_gpu_experts=None, kt_max_deferred_experts_per_token=None, dllm_algorithm=None, dllm_algorithm_config=None, cpu_offload_gb=0, offload_group_size=-1, offload_num_in_group=1, offload_prefetch_step=1, offload_mode='cpu', enable_mis=False, disable_radix_cache=True, cuda_graph_max_bs=128, cuda_graph_bs=None, disable_cuda_graph=True, disable_cuda_graph_padding=False, enable_breakable_cuda_graph=False, enable_profile_cuda_graph=False, enable_cudagraph_gc=False, debug_cuda_graph=False, enable_layerwise_nvtx_marker=False, enable_nccl_nvls=False, enable_symm_mem=False, disable_flashinfer_cutlass_moe_fp4_allgather=False, enable_tokenizer_batch_encode=False, disable_tokenizer_batch_decode=False, disable_outlines_disk_cache=False, disable_custom_all_reduce=False, enable_mscclpp=False, enable_torch_symm_mem=False, pre_warm_nccl=False, disable_overlap_schedule=False, enable_mixed_chunk=False, enable_dp_attention=False, enable_dp_attention_local_control_broadcast=False, enable_dp_lm_head=False, enable_two_batch_overlap=False, enable_single_batch_overlap=False, tbo_token_distribution_threshold=0.48, enable_torch_compile=False, disable_piecewise_cuda_graph=False, enforce_piecewise_cuda_graph=False, enable_torch_compile_debug_mode=False, torch_compile_max_bs=32, piecewise_cuda_graph_max_tokens=8200, piecewise_cuda_graph_tokens=[4, 8, 12, 16, 20, 24, 28, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240, 256, 288, 320, 352, 384, 416, 448, 480, 512, 576, 640, 704, 768, 832, 896, 960, 1024, 1280, 1536, 1792, 2048, 2304, 2560, 2816, 3072, 3328, 3584, 3840, 4096, 4608, 5120, 5632, 6144, 6656, 7168, 7680, 8192], piecewise_cuda_graph_compiler='eager', torchao_config='', enable_nan_detection=False, enable_p2p_check=False, triton_attention_reduce_in_fp32=False, triton_attention_num_kv_splits=8, triton_attention_split_tile_size=None, num_continuous_decode_steps=1, delete_ckpt_after_loading=False, enable_memory_saver=False, enable_weights_cpu_backup=False, enable_draft_weights_cpu_backup=False, allow_auto_truncate=False, enable_custom_logit_processor=False, flashinfer_mla_disable_ragged=False, disable_shared_experts_fusion=False, enforce_shared_experts_fusion=False, disable_chunked_prefix_cache=True, disable_fast_image_processor=False, keep_mm_feature_on_device=False, enable_return_hidden_states=False, enable_return_routed_experts=False, scheduler_recv_interval=1, numa_node=None, enable_deterministic_inference=False, rl_on_policy_target=None, enable_attn_tp_input_scattered=False, gc_threshold=None, enable_nsa_prefill_context_parallel=False, nsa_prefill_cp_mode='round-robin-split', enable_fused_qk_norm_rope=False, enable_precise_embedding_interpolation=False, enable_fused_moe_sum_all_reduce=False, enable_prefill_context_parallel=False, prefill_cp_mode='in-seq-split', enable_dynamic_batch_tokenizer=False, dynamic_batch_tokenizer_batch_size=32, dynamic_batch_tokenizer_batch_timeout=0.002, debug_tensor_dump_output_folder=None, debug_tensor_dump_layers=None, debug_tensor_dump_input_file=None, debug_tensor_dump_inject=False, disaggregation_mode='null', disaggregation_transfer_backend='mooncake', disaggregation_bootstrap_port=8998, disaggregation_ib_device=None, disaggregation_decode_enable_radix_cache=False, disaggregation_decode_enable_offload_kvcache=False, num_reserved_decode_tokens=512, disaggregation_decode_polling_interval=1, encoder_only=False, language_only=False, encoder_transfer_backend='zmq_to_scheduler', encoder_urls=[], enable_adaptive_dispatch_to_encoder=False, custom_weight_loader=[], weight_loader_disable_mmap=False, weight_loader_prefetch_checkpoints=False, weight_loader_prefetch_num_threads=4, remote_instance_weight_loader_seed_instance_ip=None, remote_instance_weight_loader_seed_instance_service_port=None, remote_instance_weight_loader_send_weights_group_ports=None, remote_instance_weight_loader_backend='nccl', remote_instance_weight_loader_start_seed_via_transfer_engine=False, engine_info_bootstrap_port=6789, modelexpress_config=None, enable_pdmux=False, pdmux_config_path=None, sm_group_num=8, enable_broadcast_mm_inputs_process=False, enable_prefix_mm_cache=False, mm_enable_dp_encoder=False, mm_process_config={}, limit_mm_data_per_request=None, enable_mm_global_cache=False, decrypted_config_file=None, decrypted_draft_config_file=None, forward_hooks=None, enable_quant_communications=False, msprobe_dump_config=None)
    [2026-07-08 10:34:24] Fixing v5 tokenizer component mismatch for /models/DeepSeek-R1-Distill-Qwen-7B: pre_tokenizer Metaspace -> Sequence, decoder Sequence -> ByteLevel
    [2026-07-08 10:34:24] Restoring add_bos_token=True for /models/DeepSeek-R1-Distill-Qwen-7B (was False after v5 loading)
    [2026-07-08 10:34:24] Using default HuggingFace chat template with detected content format: string
    INFO Print the version information of mcoplib during compilation.

    Version info:Mcoplib_Version = '0.4.4'
    Build_Maca_Version = '3.7.1.5'
    GIT_BRANCH = 'HEAD'
    GIT_COMMIT = '4d9c16e'
    Vllm Op Version = 0.19.0
    SGlang Op Version = 0.5.10

    INFO Staring Check the current MACA version of the operating environment.

    INFO: Release major.minor matching, successful:3.7.

    INFO Print the version information of mcoplib during compilation.

    Version info:Mcoplib_Version = '0.4.4'
    Build_Maca_Version = '3.7.1.5'
    GIT_BRANCH = 'HEAD'
    GIT_COMMIT = '4d9c16e'
    Vllm Op Version = 0.19.0
    SGlang Op Version = 0.5.10

    INFO Staring Check the current MACA version of the operating environment.

    INFO: Release major.minor matching, successful:3.7.

    INFO Print the version information of mcoplib during compilation.

    Version info:Mcoplib_Version = '0.4.4'
    Build_Maca_Version = '3.7.1.5'
    GIT_BRANCH = 'HEAD'
    GIT_COMMIT = '4d9c16e'
    Vllm Op Version = 0.19.0
    SGlang Op Version = 0.5.10

    INFO Staring Check the current MACA version of the operating environment.

    INFO: Release major.minor matching, successful:3.7.

    /opt/conda/lib/python3.10/site-packages/torchvision/datapoints/init.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/init.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/datapoints/init.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/init.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/datapoints/init.py:12: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    /opt/conda/lib/python3.10/site-packages/torchvision/transforms/v2/init.py:54: UserWarning: The torchvision.datapoints and torchvision.transforms.v2 namespaces are still Beta. While we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: github.com/pytorch/vision/issues/6753, and you can also check out github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes. You can silence this warning by calling torchvision.disable_beta_transforms_warning().
    warnings.warn(_BETA_TRANSFORMS_WARNING)
    flashinfer.comm is not available, falling back to standard implementation
    flashinfer.comm is not available, falling back to standard implementation
    flashinfer.comm is not available, falling back to standard implementation
    [2026-07-08 10:34:53 TP1] Fixing v5 tokenizer component mismatch for /models/DeepSeek-R1-Distill-Qwen-7B: pre_tokenizer Metaspace -> Sequence, decoder Sequence -> ByteLevel
    [2026-07-08 10:34:53 TP1] Restoring add_bos_token=True for /models/DeepSeek-R1-Distill-Qwen-7B (was False after v5 loading)
    [2026-07-08 10:34:53 TP1] Init torch distributed begin.
    [2026-07-08 10:34:53 TP0] Fixing v5 tokenizer component mismatch for /models/DeepSeek-R1-Distill-Qwen-7B: pre_tokenizer Metaspace -> Sequence, decoder Sequence -> ByteLevel
    [2026-07-08 10:34:53 TP0] Restoring add_bos_token=True for /models/DeepSeek-R1-Distill-Qwen-7B (was False after v5 loading)
    [2026-07-08 10:34:53 TP0] Init torch distributed begin.
    [2026-07-08 10:34:53] Fixing v5 tokenizer component mismatch for /models/DeepSeek-R1-Distill-Qwen-7B: pre_tokenizer Metaspace -> Sequence, decoder Sequence -> ByteLevel
    [2026-07-08 10:34:53] Restoring add_bos_token=True for /models/DeepSeek-R1-Distill-Qwen-7B (was False after v5 loading)
    [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1
    [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1
    [Gloo] Rank 1 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1
    [Gloo] Rank 0 is connected to 1 peer ranks. Expected number of connected peer ranks is : 1
    [2026-07-08 10:34:54 TP0] sglang is using nccl==2.16.5
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [2026-07-08 10:34:54 TP0] DCP disabled, dcp_size=1, tp_size=2
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
    [2026-07-08 10:34:54 TP0] Init torch distributed ends. elapsed=1.01 s, mem usage=0.08 GB
    [2026-07-08 10:34:54 TP1] Init torch distributed ends. elapsed=1.10 s, mem usage=0.08 GB
    [2026-07-08 10:34:55 TP1] Load weight begin. avail mem=62.03 GB
    [2026-07-08 10:34:55 TP0] Load weight begin. avail mem=62.03 GB
    Multi-thread loading shards: 0% Completed | 0/2 [00:00<?, ?it/s]
    muxi:4519:5239 [0] /workspace/out/Release/build/linux/x86_64/mccl/macaify/src/misc/socket.cc:38 MCCL WARN socketProgressOpt: Call to recv from 127.0.0.1<55875> failed : Connection reset by peer
    Traceback (most recent call last):
    File "/opt/conda/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
    File "/opt/conda/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
    File "/opt/conda/lib/python3.10/site-packages/sglang/launch_server.py", line 75, in <module>
    run_server(server_args)
    File "/opt/conda/lib/python3.10/site-packages/sglang/launch_server.py", line 56, in run_server
    launch_server(server_args)
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/entrypoints/http_server.py", line 2345, in launch_server
    ) = Engine._launch_subprocesses(
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/entrypoints/engine.py", line 822, in _launch_subprocesses
    scheduler_init_result.wait_for_ready()
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/entrypoints/engine.py", line 623, in wait_for_ready
    infos = _wait_for_scheduler_ready(scheduler_pipe_readers, scheduler_procs)
    File "/opt/conda/lib/python3.10/site-packages/sglang/srt/entrypoints/engine.py", line 1322, in _wait_for_scheduler_ready
    raise _scheduler_died_error(j, scheduler_procs[j])
    RuntimeError: Rank 1 scheduler died during initialization (exit code: -9). If exit code is -9 (SIGKILL), a common cause is the OS OOM killer. Run dmesg -T | grep -i oom to check.

  • Members 650 posts
    2026年7月8日 10:41

    尊敬的开发者您好,请裸金属执行
    dmesg -T | grep -i err

  • Members 10 posts
    2026年7月8日 11:07

    dmesg -T | grep -i err
    [二 7月 7 18:39:16 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 102
    [二 7月 7 18:39:45 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 103
    [二 7月 7 18:40:26 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 104
    [二 7月 7 18:40:42 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 105
    [二 7月 7 18:40:46 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 106
    [二 7月 7 18:40:53 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 107
    [二 7月 7 18:41:11 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 108
    [二 7月 7 18:41:30 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 109
    [二 7月 7 18:41:40 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 110
    [二 7月 7 18:42:58 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 111
    [二 7月 7 19:02:49 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 112
    [二 7月 7 19:03:33 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 113
    [二 7月 7 19:03:39 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 114
    [二 7月 7 19:04:04 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 115
    [二 7月 7 19:04:12 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 116
    [二 7月 7 19:04:19 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 117
    [二 7月 7 19:04:54 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 118
    [二 7月 7 19:05:50 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 119
    [二 7月 7 19:06:01 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 120
    [二 7月 7 19:06:05 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 121
    [二 7月 7 19:06:11 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 122
    [二 7月 7 19:06:23 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 123
    [二 7月 7 19:06:25 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 124
    [二 7月 7 19:06:29 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 125
    [二 7月 7 19:06:58 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 126
    [二 7月 7 19:07:08 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 127
    [二 7月 7 19:08:19 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 128
    [二 7月 7 19:16:17 2026] METAX.MC.ERROR failed to get user pages, -4
    [二 7月 7 19:16:17 2026] METAX.B3800.D0.MC.ERROR init_user_pages failed, -4
    [二 7月 7 19:16:17 2026] MXCD.IOCTL.ERROR alloc memory failed, -4
    [二 7月 7 19:16:18 2026] METAX.MC.ERROR failed to get user pages, -4
    [二 7月 7 19:16:18 2026] METAX.B3800.D0.MC.ERROR init_user_pages failed, -4
    [二 7月 7 19:16:18 2026] MXCD.IOCTL.ERROR alloc memory failed, -4
    [二 7月 7 19:48:11 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 129
    [二 7月 7 19:48:19 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 130
    [二 7月 7 19:50:38 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 131
    [二 7月 7 19:50:50 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 132
    [二 7月 7 19:51:05 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 133
    [二 7月 7 19:51:19 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 134
    [二 7月 7 19:54:55 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 135
    [二 7月 7 19:55:01 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 136
    [二 7月 7 19:55:29 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 137
    [二 7月 7 19:56:11 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 138
    [二 7月 7 19:56:13 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 139
    [二 7月 7 19:56:34 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 140
    [二 7月 7 19:57:58 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 141
    [二 7月 7 19:58:15 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 142
    [二 7月 7 19:59:22 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 143
    [二 7月 7 20:00:24 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 144
    [二 7月 7 20:00:28 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 145
    [二 7月 7 20:00:51 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 146
    [二 7月 7 20:01:28 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 147
    [二 7月 7 20:02:09 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 148
    [二 7月 7 20:02:23 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 149
    [二 7月 7 20:03:10 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 150
    [二 7月 7 20:04:34 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 151
    [二 7月 7 20:05:35 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 152
    [二 7月 7 20:05:41 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 153
    [二 7月 7 20:06:06 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 154
    [二 7月 7 20:06:08 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 155
    [二 7月 7 20:06:22 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 156
    [二 7月 7 20:06:59 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 157
    [二 7月 7 20:07:28 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 158
    [二 7月 7 20:08:09 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 159
    [二 7月 7 20:08:29 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 160
    [二 7月 7 20:08:31 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 161
    [二 7月 7 20:09:45 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 162
    [二 7月 7 20:09:49 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 163
    [二 7月 7 20:11:05 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 164
    [二 7月 7 20:12:10 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 165
    [二 7月 7 20:12:39 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 166
    [二 7月 7 20:14:00 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 167
    [二 7月 7 20:14:08 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 168
    [二 7月 7 20:15:12 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 169
    [二 7月 7 20:16:13 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 170
    [二 7月 7 20:16:46 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 171
    [二 7月 7 20:18:16 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 172
    [二 7月 7 20:18:20 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 173
    [二 7月 7 20:18:37 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 174
    [二 7月 7 20:19:04 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 175
    [二 7月 7 20:19:55 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 176
    [二 7月 7 20:20:36 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 177
    [二 7月 7 20:20:42 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 178
    [二 7月 7 20:20:44 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 179
    [二 7月 7 20:21:04 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 180
    [二 7月 7 20:21:16 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 181
    [二 7月 7 20:22:03 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 182
    [二 7月 7 20:22:18 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 183
    [二 7月 7 20:23:34 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 184
    [二 7月 7 20:23:42 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 185
    [二 7月 7 20:24:48 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 186
    [二 7月 7 20:25:23 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 187
    [二 7月 7 20:26:02 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 188
    [二 7月 7 20:26:14 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 189
    [二 7月 7 20:27:01 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 190
    [二 7月 7 20:27:09 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 191
    [二 7月 7 20:27:28 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 192
    [二 7月 7 20:27:36 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 193
    [二 7月 7 20:27:58 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 194
    [二 7月 7 20:28:21 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 195
    [二 7月 7 20:28:33 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 196
    [二 7月 7 20:28:35 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 197
    [二 7月 7 20:28:47 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 198
    [二 7月 7 20:29:53 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 199
    [二 7月 7 20:30:30 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 200
    [二 7月 7 20:31:33 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 201
    [二 7月 7 20:31:47 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 202
    [二 7月 7 20:32:14 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 203
    [二 7月 7 20:33:28 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 204
    [二 7月 7 20:35:01 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 205
    [二 7月 7 20:35:18 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 206
    [二 7月 7 20:37:31 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 207
    [二 7月 7 20:37:43 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 208
    [二 7月 7 20:39:09 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 209
    [二 7月 7 20:39:59 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 210
    [二 7月 7 20:40:01 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 211
    [二 7月 7 20:41:21 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 212
    [二 7月 7 20:43:38 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 213
    [三 7月 8 09:00:56 2026] perf: interrupt took too long (2506 > 2500), lowering kernel.perf_event_max_sample_rate to 79800
    [三 7月 8 09:21:56 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 214
    [三 7月 8 09:22:08 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 215
    [三 7月 8 09:33:16 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 216
    [三 7月 8 09:46:05 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 217
    [三 7月 8 09:46:21 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 218
    [三 7月 8 09:47:21 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 219
    [三 7月 8 10:10:36 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 220
    [三 7月 8 10:13:10 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 221
    [三 7月 8 10:20:35 2026] METAX.MC.ERROR failed to get user pages, -4
    [三 7月 8 10:20:35 2026] METAX.B3800.D0.MC.ERROR init_user_pages failed, -4
    [三 7月 8 10:20:35 2026] MXCD.IOCTL.ERROR alloc memory failed, -4
    [三 7月 8 10:21:05 2026] METAX.B9800.D0.PCI.INFO correctable AER [ 0] Receiver Error, count 222
    [三 7月 8 10:32:58 2026] ? common_interrupt+0xf/0xa0
    [三 7月 8 10:32:58 2026] METAX.MC.ERROR failed to get user pages, -4
    [三 7月 8 10:32:58 2026] METAX.B3800.D0.MC.ERROR init_user_pages failed, -4
    [三 7月 8 10:32:58 2026] MXCD.IOCTL.ERROR alloc memory failed, -4
    [三 7月 8 10:33:00 2026] METAX.MC.ERROR failed to get user pages, -4
    [三 7月 8 10:33:00 2026] METAX.B3800.D0.MC.ERROR init_user_pages failed, -4
    [三 7月 8 10:33:00 2026] MXCD.IOCTL.ERROR alloc memory failed, -4
    [三 7月 8 10:35:14 2026] METAX.MC.ERROR failed to get user pages, -4
    [三 7月 8 10:35:14 2026] METAX.B3800.D0.MC.ERROR init_user_pages failed, -4
    [三 7月 8 10:35:14 2026] MXCD.IOCTL.ERROR alloc memory failed, -4

  • Members 650 posts
    2026年7月8日 11:10

    尊敬的开发者您好,请在两张卡分别指定单卡运行模型。

  • Members 10 posts
    2026年7月8日 11:25

    现在TP=1 是可以的,但是我现在有是想在多卡情况下运行更大的模型的,但是总是报OOM 内存溢出才会选择用小模型验证的

  • Members 650 posts
    2026年7月8日 12:10

    尊敬的开发者您好,请裸金属执行

    cd /opt/maca/samples/mccl_tests/perf
    bash mccl.sh 2
    
  • Members 10 posts
    2026年7月8日 13:18

    cd /opt/maca/samples/mccl_tests/perf
    [root@muxi perf]# ls
    cluster.sh dragonfly.sh function mccl_perf mccl.sh mxccl_perf nccl_perf README.md xccl.sh
    [root@muxi perf]# bash mccl.sh 2
    The test is all_reduce_perf, the maca version is /opt/maca-3.7.2
    main_process = 211548
    ===============================

    nThread 1 nGpus 1 minBytes 1024 maxBytes 1073741824 step: 2(factor) warmup iters: 5 iters: 10 agg iters: 1 validation: 1 graph: 0

    Using devices

    Rank 0 Pid 211548 on muxi device 0 [0x38] MetaX C500

    Rank 1 Pid 211549 on muxi device 1 [0x49] MetaX C500

    ┌----- out-of-place ------┐ ┌------ in-place -------┐

    size count type redop root time algbw busbw #wrong time algbw busbw #wrong

    (B) (elements) (us) (GB/s) (GB/s) (us) (GB/s) (GB/s)

        1024           512  bfloat16     sum      -1      15.48    0.07    0.07      0      15.45    0.07    0.07      0
        2048          1024  bfloat16     sum      -1      16.25    0.13    0.13      0      16.14    0.13    0.13      0
        4096          2048  bfloat16     sum      -1      17.20    0.24    0.24      0      17.00    0.24    0.24      0
        8192          4096  bfloat16     sum      -1      17.35    0.47    0.47      0      17.04    0.48    0.48      0
       16384          8192  bfloat16     sum      -1      17.96    0.91    0.91      0      17.59    0.93    0.93      0
       32768         16384  bfloat16     sum      -1      17.98    1.82    1.82      0      17.95    1.83    1.83      0
       65536         32768  bfloat16     sum      -1      21.06    3.11    3.11      0      21.03    3.12    3.12      0
      131072         65536  bfloat16     sum      -1      27.76    4.72    4.72      0      27.74    4.72    4.72      0
      262144        131072  bfloat16     sum      -1      34.12    7.68    7.68      0      33.89    7.74    7.74      0
      524288        262144  bfloat16     sum      -1      46.10   11.37   11.37      0      46.17   11.35   11.35      0
     1048576        524288  bfloat16     sum      -1      70.71   14.83   14.83      0      70.77   14.82   14.82      0
     2097152       1048576  bfloat16     sum      -1     121.17   17.31   17.31      0     121.02   17.33   17.33      0
     4194304       2097152  bfloat16     sum      -1     225.56   18.59   18.59      0     225.20   18.62   18.62      0
     8388608       4194304  bfloat16     sum      -1     436.27   19.23   19.23      0     436.00   19.24   19.24      0
    16777216       8388608  bfloat16     sum      -1     856.35   19.59   19.59      0     856.41   19.59   19.59      0
    33554432      16777216  bfloat16     sum      -1    1697.19   19.77   19.77      0    1696.73   19.78   19.78      0
    67108864      33554432  bfloat16     sum      -1    3378.11   19.87   19.87      0    3377.85   19.87   19.87      0
    

    134217728 67108864 bfloat16 sum -1 6611.09 20.30 20.30 0 6611.62 20.30 20.30 0
    268435456 134217728 bfloat16 sum -1 13191.31 20.35 20.35 0 13191.46 20.35 20.35 0
    536870912 268435456 bfloat16 sum -1 26340.36 20.38 20.38 0 26337.84 20.38 20.38 0
    1073741824 536870912 bfloat16 sum -1 52597.00 20.41 20.41 0 52566.05 20.43 20.43 0

    Out of bounds values : 0 OK

    Avg bus bandwidth : 11.4874

    [root@muxi perf]#

  • Members 650 posts
    2026年7月8日 13:24

    尊敬的开发者您好,容器启动docker run添加特权模式尝试

  • Members 10 posts
    2026年7月8日 14:06

    docker run -d \
    --network host \
    --ipc=host \
    --name=sglang-mx \
    --shm-size 100G \
    --ulimit memlock=-1 \
    --ulimit nofile=1024000 \
    --device=/dev/dri \
    --device=/dev/mxcd \
    --device=/dev/mem \
    --group-add video \
    --privileged \
    --security-opt seccomp=unconfined \
    --security-opt apparmor=unconfined \
    -v /data/models/:/models:ro \
    cr.metax-tech.com/public-ai-release/maca/sglang:0.5.11-maca.ai3.7.1.107-torch2.8-py310-kylinv11-amd64 \
    sleep infinity 添加了特权参数--privileged 依然是内存溢出失败

  • Members 650 posts
    2026年7月8日 14:09

    尊敬的开发者您好,请在宿主机执行free -h

  • Members 10 posts
    2026年7月8日 14:22

    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 16Gi 103Gi 25Mi 6.2Gi 108Gi
    Swap: 4.0Gi 548Mi 3.5Gi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 19Gi 99Gi 25Mi 6.8Gi 104Gi
    Swap: 4.0Gi 548Mi 3.5Gi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 21Gi 97Gi 25Mi 6.9Gi 103Gi
    Swap: 4.0Gi 548Mi 3.5Gi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 22Gi 96Gi 25Mi 7.1Gi 102Gi
    Swap: 4.0Gi 548Mi 3.5Gi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 23Gi 94Gi 25Mi 7.1Gi 100Gi
    Swap: 4.0Gi 548Mi 3.5Gi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 24Gi 93Gi 25Mi 7.4Gi 100Gi
    Swap: 4.0Gi 548Mi 3.5Gi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 106Gi 16Gi 20Mi 2.0Gi 17Gi
    Swap: 4.0Gi 3.8Gi 197Mi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 112Gi 8.2Gi 27Mi 4.9Gi 12Gi
    Swap: 4.0Gi 3.8Gi 200Mi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 111Gi 7.5Gi 27Mi 7.0Gi 13Gi
    Swap: 4.0Gi 3.8Gi 247Mi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 35Gi 83Gi 23Mi 7.1Gi 89Gi
    Swap: 4.0Gi 3.2Gi 847Mi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 37Gi 81Gi 23Mi 7.4Gi 87Gi
    Swap: 4.0Gi 3.0Gi 998Mi
    [root@muxi models]# free -h
    total used free shared buff/cache available
    Mem: 124Gi 4.2Gi 112Gi 23Mi 8.9Gi 120Gi
    Swap: 4.0Gi 1.3Gi 2.7Gi 上述是在启动sglang服务过程中 内存的变化 一直在增长 知道内存溢出后然后全部释放

  • Members 650 posts
    2026年7月8日 15:07

    尊敬的开发者您好,请使用0.5.9镜像测试