yisheng163

一、软硬件信息
1.服务器厂家:数新
2.沐曦GPU型号：C500双卡
3.操作系统内核版本：乌班图24.04
4.是否开启CPU虚拟化：无
5.mx-smi回显：
二，模型适配需求
minimax-H3视频模型什么时候适配，适配后的模型在哪下载。

===== Python =====
/opt/conda/bin/python
/opt/conda/bin/python3
Python 3.10.10

===== torch =====
torch: 2.8.0+metax3.7.0.7
cuda available: True
device count: 2

===== vLLM =====
vllm: 0.20.0

我部成功了。sglang不行 vllm 可以。
用这个镜像 vllm-metax:0.20.0-maca.ai3.7.0.107-torch2.8-py310-ubuntu22.04-amd64

【环境】
- GPU：2 × 曦云 C500（MXS500）
- 宿主机：Ubuntu 22.04
- 内核驱动：metax-linux 3.8.30
- 用户态：MACA Runtime 3.7.2.0
- metax-driver：3.7.2.30
- VBios：1.24.3.0
- 已验证单卡 sglang:0.5.10-maca.ai3.7.1.12 可跑 Qwen3.6-35B W8A8

【问题】
官方 sglang 镜像仅提供 maca.ai3.7.1.12 版本，
宿主机升级至 3.7.2.30 后双卡 TP=2 启动时卡死在算子初始化（无报错退出），
单卡 TP=1 正常。

【诉求】
请提供以下之一：
1) sglang 镜像适配 MACA Runtime 3.7.2.x（sglang 0.5.10 或更新）
2) torch-maca / maca-python wheel 对齐 3.7.2.x，可自建镜像
3) 明确双卡 TP 支持的驱动 + 镜像版本矩阵

谢谢！

mx-smi
dpkg -l | grep metax
mx-smi version: 2.3.1

=================== MetaX System Management Interface Log ===================
Timestamp : Sat Jun 13 18:58:22 2026

Attached GPUs : 2
+---------------------------------------------------------------------------------+
| MX-SMI 2.3.1 Kernel Mode Driver Version: 3.8.30 |
| MACA Version: 3.7.2.0 BIOS Version: 1.24.3.0 |
|------------------+-----------------+---------------------+----------------------|
| Board Name | GPU Persist-M | Bus-id | GPU-Util sGPU-M |
| Pwr:Usage/Cap | Temp Perf | Memory-Usage | GPU-State |
|==================+=================+=====================+======================|
| 0 MetaX C500 | 0 N/A | 0000:02:00.0 | 0% Disabled |
| 37W / 350W | 29C N/A | 858/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+
| 1 MetaX C500 | 1 N/A | 0000:03:00.0 | 0% Disabled |
| 37W / 350W | 32C N/A | 858/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+

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

End of Log
ii metax-driver 3.7.2.30 amd64 metax driver deb package
ii metax-linux 3.8.30 amd64 metax deb package
ii mxdiagease-3.7.2 3.7.2.0 amd64 Metax one click diagnosis package contain the tool:mx-diagease which can diagnose pcie,metaxlink,memory,power,Gpu Stress and monitor power supply and power consumption data.

曦云C500单卡，用sglang:0.5.10布Qwen3.5-35B-w8a8 也能成功。

docker run -it \
--restart always \
--device=/dev/dri \
--device=/dev/mxcd \
--group-add 44 \
--name qwen36b_35b_w8a8_20260429 \
--device=/dev/mem \
-p 18000:8000 \
--security-opt seccomp=unconfined \
--security-opt apparmor=unconfined \
--shm-size '100gb' \
--ulimit memlock=-1 \
-v /home/models/modelscope/:/home/models/modelscope/ \
-v /etc/localtime:/etc/localtime \
sglang:0.5.10-maca.ai3.7.1.12-torch2.8-py310-ubuntu22.04-amd64 \
/bin/bash -c "apt update && apt install -y ninja-build && \
/opt/conda/bin/python -m sglang.launch_server \
--model-path /home/models/modelscope/qwen36b_35b_w8a8_20260429 \
--port 8000 \
--host 0.0.0.0 \
--tensor-parallel-size 1 \
--context-length 32768 \
--trust-remote-code \
--served-model-name qwen36b_35b_w8a8_20260429"

单卡C500用sglang:0.5.10布Qwen3.6-35B-w8a8也能成功。

docker run -it \
--restart always \
--device=/dev/dri \
--device=/dev/mxcd \
--group-add 44 \
--name qwen36b_35b_w8a8_20260429 \
--device=/dev/mem \
-p 18000:8000 \
--security-opt seccomp=unconfined \
--security-opt apparmor=unconfined \
--shm-size '100gb' \
--ulimit memlock=-1 \
-v /home/models/modelscope/:/home/models/modelscope/ \
-v /etc/localtime:/etc/localtime \
sglang:0.5.10-maca.ai3.7.1.12-torch2.8-py310-ubuntu22.04-amd64 \
/bin/bash -c "apt update && apt install -y ninja-build && \
/opt/conda/bin/python -m sglang.launch_server \
--model-path /home/models/modelscope/qwen36b_35b_w8a8_20260429 \
--port 8000 \
--host 0.0.0.0 \
--tensor-parallel-size 1 \
--context-length 32768 \
--trust-remote-code \
--served-model-name qwen36b_35b_w8a8_20260429"

单卡qwen3.6-27b成功的截图

一、软硬件信息
1.服务器厂家:未获取
2.沐曦GPU型号：曦云C500双卡
3.操作系统内核版本： 6.14.0-27-generic
4.是否开启CPU虚拟化：是
5.mx-smi回显：

6.docker info回显：
W0613 17:44:54.612000 1 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
W0613 17:44:54.612000 1 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/torch/cuda/init.py:419: UserWarning: Expandable_segments option is ignored since it's not supported when vram pagesize is not 2M. (Triggered internally at /workspace/framework/mcPytorch/c10/cuda/CUDAAllocatorConfig.cpp:368.)
torch._C._cuda_init()
/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:57: 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(
Disabling overlap schedule since mamba no_buffer is not compatible with overlap schedule, try to use --disable-radix-cache if overlap schedule is necessary
Cuda graph max bs is adjusted to 128.
flashinfer.comm is not available, falling back to standard implementation
/opt/conda/lib/python3.10/site-packages/sglang/srt/entrypoints/http_server.py:172: FastAPIDeprecationWarning: ORJSONResponse is deprecated, FastAPI now serializes data directly to JSON bytes via Pydantic when a return type or response model is set, which is faster and doesn't need a custom response class. Read more in the FastAPI docs: fastapi.tiangolo.com/advanced/custom-response/#orjson-or-response-model and fastapi.tiangolo.com/tutorial/response-model/
from sglang.srt.utils.json_response import (
[2026-06-13 17:44:56] server_args=ServerArgs(model_path='/home/models/modelscope/qwen36b_35b_w8a8_20260429', tokenizer_path='/home/models/modelscope/qwen36b_35b_w8a8_20260429', tokenizer_mode='auto', 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=32768, is_embedding=False, enable_multimodal=None, revision=None, model_impl='auto', host='0.0.0.0', port=8000, 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, 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=0.8470853125, 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, stream_response_default_include_usage=False, incremental_streaming_output=False, enable_streaming_session=False, random_seed=256002235, 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=False, 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, collect_tokens_histogram=False, 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='qwen3.6-35b-tool-20260302-metax', 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='qwen3', tool_call_parser='qwen3_coder', 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, 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_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_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, enable_multi_layer_eagle=False, speculative_suffix_max_tree_depth=24, speculative_suffix_max_cached_requests=10000, speculative_suffix_max_spec_factor=1.0, speculative_suffix_min_token_prob=0.1, ep_size=1, moe_a2a_backend='none', moe_runner_backend='auto', 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, 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, enable_double_sparsity=False, ds_channel_config_path=None, ds_heavy_channel_num=32, ds_heavy_token_num=256, ds_heavy_channel_type='qk', ds_sparse_decode_threshold=4096, cpu_offload_gb=0, offload_group_size=-1, offload_num_in_group=1, offload_prefetch_step=1, offload_mode='cpu', multi_item_scoring_delimiter=None, disable_radix_cache=False, cuda_graph_max_bs=128, cuda_graph_bs=None, disable_cuda_graph=False, disable_cuda_graph_padding=False, enable_profile_cuda_graph=False, enable_cudagraph_gc=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=True, enable_mixed_chunk=False, enable_dp_attention=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=True, 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, 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_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, 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)
INFO Print the version information of mcoplib during compilation.
INFO Print the version information of mcoplib during compilation.

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 = 'f1faf55'
Vllm Op Version = 0.19.0
SGlang Op Version = 0.5.10
Version info:Mcoplib_Version = '0.4.4'
Build_Maca_Version = '3.7.1.5'
GIT_BRANCH = 'HEAD'
GIT_COMMIT = 'f1faf55'
Vllm Op Version = 0.19.0
SGlang Op Version = 0.5.10
Version info:Mcoplib_Version = '0.4.4'
Build_Maca_Version = '3.7.1.5'
GIT_BRANCH = 'HEAD'
GIT_COMMIT = 'f1faf55'
Vllm Op Version = 0.19.0
SGlang Op Version = 0.5.10

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

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

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

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

[2026-06-13 17:44:59] Using default HuggingFace chat template with detected content format: openai
W0613 17:45:09.734000 93 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
W0613 17:45:09.734000 93 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/torch/cuda/init.py:419: UserWarning: Expandable_segments option is ignored since it's not supported when vram pagesize is not 2M. (Triggered internally at /workspace/framework/mcPytorch/c10/cuda/CUDAAllocatorConfig.cpp:368.)
torch._C._cuda_init()
W0613 17:45:09.766000 95 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
W0613 17:45:09.766000 95 site-packages/torch/utils/cpp_extension.py:2527] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.
W0613 17:45:09.767000 94 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
W0613 17:45:09.767000 94 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/torch/cuda/init.py:419: UserWarning: Expandable_segments option is ignored since it's not supported when vram pagesize is not 2M. (Triggered internally at /workspace/framework/mcPytorch/c10/cuda/CUDAAllocatorConfig.cpp:368.)
torch._C._cuda_init()
/opt/conda/lib/python3.10/site-packages/torch/cuda/init.py:419: UserWarning: Expandable_segments option is ignored since it's not supported when vram pagesize is not 2M. (Triggered internally at /workspace/framework/mcPytorch/c10/cuda/CUDAAllocatorConfig.cpp:368.)
torch._C._cuda_init()
/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/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)
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
[2026-06-13 17:45:14 TP1] Init torch distributed begin.
[2026-06-13 17:45:14 TP0] Init torch distributed begin.
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 = 'f1faf55'
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.

W0613 17:45:35.952000 1 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
W0613 17:45:35.952000 1 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/torch/cuda/init.py:419: UserWarning: Expandable_segments option is ignored since it's not supported when vram pagesize is not 2M. (Triggered internally at /workspace/framework/mcPytorch/c10/cuda/CUDAAllocatorConfig.cpp:368.)
torch._C._cuda_init()
/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:57: 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(
Disabling overlap schedule since mamba no_buffer is not compatible with overlap schedule, try to use --disable-radix-cache if overlap schedule is necessary
Cuda graph max bs is adjusted to 128.
flashinfer.comm is not available, falling back to standard implementation
/opt/conda/lib/python3.10/site-packages/sglang/srt/entrypoints/http_server.py:172: FastAPIDeprecationWarning: ORJSONResponse is deprecated, FastAPI now serializes data directly to JSON bytes via Pydantic when a return type or response model is set, which is faster and doesn't need a custom response class. Read more in the FastAPI docs: fastapi.tiangolo.com/advanced/custom-response/#orjson-or-response-model and fastapi.tiangolo.com/tutorial/response-model/
from sglang.srt.utils.json_response import (
[2026-06-13 17:45:38] server_args=ServerArgs(model_path='/home/models/modelscope/qwen36b_35b_w8a8_20260429', tokenizer_path='/home/models/modelscope/qwen36b_35b_w8a8_20260429', tokenizer_mode='auto', 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=32768, is_embedding=False, enable_multimodal=None, revision=None, model_impl='auto', host='0.0.0.0', port=8000, 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, 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=0.8470853125, 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, stream_response_default_include_usage=False, incremental_streaming_output=False, enable_streaming_session=False, random_seed=123690075, 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=False, 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, collect_tokens_histogram=False, 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='qwen3.6-35b-tool-20260302-metax', 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='qwen3', tool_call_parser='qwen3_coder', 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, 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_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_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, enable_multi_layer_eagle=False, speculative_suffix_max_tree_depth=24, speculative_suffix_max_cached_requests=10000, speculative_suffix_max_spec_factor=1.0, speculative_suffix_min_token_prob=0.1, ep_size=1, moe_a2a_backend='none', moe_runner_backend='auto', 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, 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, enable_double_sparsity=False, ds_channel_config_path=None, ds_heavy_channel_num=32, ds_heavy_token_num=256, ds_heavy_channel_type='qk', ds_sparse_decode_threshold=4096, cpu_offload_gb=0, offload_group_size=-1, offload_num_in_group=1, offload_prefetch_step=1, offload_mode='cpu', multi_item_scoring_delimiter=None, disable_radix_cache=False, cuda_graph_max_bs=128, cuda_graph_bs=None, disable_cuda_graph=False, disable_cuda_graph_padding=False, enable_profile_cuda_graph=False, enable_cudagraph_gc=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=True, enable_mixed_chunk=False, enable_dp_attention=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=True, 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, 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_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, 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)
INFO Print the version information of mcoplib during compilation.

INFO Print the version information of mcoplib during compilation.

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 = 'f1faf55'
Vllm Op Version = 0.19.0
SGlang Op Version = 0.5.10

Version info:Mcoplib_Version = '0.4.4'
Build_Maca_Version = '3.7.1.5'
GIT_BRANCH = 'HEAD'
GIT_COMMIT = 'f1faf55'
Vllm Op Version = 0.19.0
SGlang Op Version = 0.5.10
INFO Staring Check the current MACA version of the operating environment.

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

Version info:Mcoplib_Version = '0.4.4'
Build_Maca_Version = '3.7.1.5'
GIT_BRANCH = 'HEAD'
GIT_COMMIT = 'f1faf55'
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: Release major.minor matching, successful:3.7.

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

[2026-06-13 17:45:41] Using default HuggingFace chat template with detected content format: openai
W0613 17:45:51.564000 93 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
W0613 17:45:51.564000 93 site-packages/torch/utils/cpp_extension.py:2527] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.
W0613 17:45:51.564000 94 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
W0613 17:45:51.564000 94 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/torch/cuda/init.py:419: UserWarning: Expandable_segments option is ignored since it's not supported when vram pagesize is not 2M. (Triggered internally at /workspace/framework/mcPytorch/c10/cuda/CUDAAllocatorConfig.cpp:368.)
torch._C._cuda_init()
/opt/conda/lib/python3.10/site-packages/torch/cuda/init.py:419: UserWarning: Expandable_segments option is ignored since it's not supported when vram pagesize is not 2M. (Triggered internally at /workspace/framework/mcPytorch/c10/cuda/CUDAAllocatorConfig.cpp:368.)
torch._C._cuda_init()
W0613 17:45:51.583000 92 site-packages/torch/utils/cpp_extension.py:2527] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
W0613 17:45:51.583000 92 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/torch/cuda/init.py:419: UserWarning: Expandable_segments option is ignored since it's not supported when vram pagesize is not 2M. (Triggered internally at /workspace/framework/mcPytorch/c10/cuda/CUDAAllocatorConfig.cpp:368.)
torch._C._cuda_init()
/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
[2026-06-13 17:45:56 TP1] Init torch distributed begin.
[2026-06-13 17:45:56 TP0] Init torch distributed begin.

没有明显报错，就一直循环这些。

7.镜像版本：sglang:0.5.10-maca.ai3.7.1.12-torch2.8-py310-ubuntu22.04-amd64

8.启动容器命令：
docker run -it \
--restart always \
--device=/dev/dri \
--device=/dev/mxcd \
--group-add 44 \
--name test-docker-qwen3.6-35b-w8a8_20260429 \
--device=/dev/mem \
-p 18000:8000 \
--security-opt seccomp=unconfined \
--security-opt apparmor=unconfined \
--shm-size '32gb' \
--ulimit memlock=-1 \
-v /home/models/modelscope/:/home/models/modelscope/ \
-v /etc/localtime:/etc/localtime \
-e PYTORCH_CUDA_ALLOC_CONF="expandable_segments:True,max_split_size_mb:256" \
sglang:0.5.10-maca.ai3.7.1.12-torch2.8-py310-ubuntu22.04-amd64 \
/opt/conda/bin/python -m sglang.launch_server \
--model-path /home/models/modelscope/qwen36b_35b_w8a8_20260429 \
--port 8000 \
--host 0.0.0.0 \
--tensor-parallel-size 2 \
--context-length 32768 \
--trust-remote-code \
--served-model-name qwen3.6-35b-tool-20260302-metax \
--reasoning-parser qwen3 \
--tool-call-parser qwen3_coder
9.容器内执行命令：无

单卡布qwen3.6-27B 是成功的。
docker run -it \
--restart always \
--device=/dev/dri \
--device=/dev/mxcd \
--group-add 44 \
--name test-qwen36b_27b_w8a8_20260512 \
--device=/dev/mem \
-p 18000:8000 \
--security-opt seccomp=unconfined \
--security-opt apparmor=unconfined \
--shm-size '100gb' \
--ulimit memlock=-1 \
-v /home/models/modelscope/:/home/models/modelscope/ \
-v /etc/localtime:/etc/localtime \
sglang:0.5.10-maca.ai3.7.1.12-torch2.8-py310-ubuntu22.04-amd64 \
/opt/conda/bin/python -m sglang.launch_server \
--model-path /home/models/modelscope/qwen36b_27b_w8a8_20260512 \
--port 8000 \
--host 0.0.0.0 \
--tensor-parallel-size 1 \
--context-length 32768 \
--trust-remote-code \
--served-model-name qwen3.6-27b_w8a8

容器内补执行 apt update && apt install -y ninja-build

单卡27b成功的。

docker run -it \
--restart always \
--device=/dev/dri \
--device=/dev/mxcd \
--group-add 44 \
--name test-qwen36b_27b_w8a8_20260512 \
--device=/dev/mem \
-p 18000:8000 \
--security-opt seccomp=unconfined \
--security-opt apparmor=unconfined \
--shm-size '100gb' \
--ulimit memlock=-1 \
-v /home/models/modelscope/:/home/models/modelscope/ \
-v /etc/localtime:/etc/localtime \
sglang:0.5.10-maca.ai3.7.1.12-torch2.8-py310-ubuntu22.04-amd64 \
/opt/conda/bin/python -m sglang.launch_server \
--model-path /home/models/modelscope/qwen36b_27b_w8a8_20260512 \
--port 8000 \
--host 0.0.0.0 \
--tensor-parallel-size 1 \
--context-length 32768 \
--trust-remote-code \
--served-model-name qwen3.6-27b_w8a8

容器内补执行 apt update && apt install -y ninja-build

终于更新了。看到了，谢谢。

一、软硬件信息
1.服务器厂家:沐曦AI一体机(2GPU型)
2.沐曦GPU型号：曦云C500
3.操作系统内核版本：6.14.0-27-generic
4.是否开启CPU虚拟化：开启
5.mx-smi回显：正常
6.docker info回显：正常
7.镜像版本：sglang:0.5.9-maca.ai3.5.3.208-torch2.8-py310-ubuntu22.04-amd64
8.启动容器命令：

docker run -it \
--restart always \
--device=/dev/dri \
--device=/dev/mxcd \
--group-add 44 \
--name qwen36b-20260416-tool \
--device=/dev/mem \
-p 18000:8000 \
--security-opt seccomp=unconfined \
--security-opt apparmor=unconfined \
--shm-size '32gb' \
--ulimit memlock=-1 \
-v /data1/models/modelscope/:/data1/models/modelscope/ \
-v /etc/localtime:/etc/localtime \
-e PYTORCH_CUDA_ALLOC_CONF="expandable_segments:True,max_split_size_mb:256" \
sglang:0.5.9-maca.ai3.5.3.208-torch2.8-py310-ubuntu22.04-amd64 \
/opt/conda/bin/python -m sglang.launch_server \
--model-path /data1/models/modelscope/qwen36b_20260416 \
--port 8000 \
--host 0.0.0.0 \
--tensor-parallel-size 2 \
--context-length 32768 \
--trust-remote-code \
--served-model-name qwen3.6-35b-tool-20260416-metax \
--reasoning-parser qwen3 \
--tool-call-parser qwen3_coder

9.容器内执行命令：无
二、问题现象
请描述详细的问题现象日志。若日志过长，请上传附件(txt格式）。
运行推理很慢。Qwen3.6要求 sglang>=0.5.10 来运行 Qwen3.6

适配qwen3.6的sglang>=0.5.10镜像在哪下载