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Model conversion process failed when deploying Mixtral 8x22B AWQ with djl-tensorrtllm to Sagemaker #3343

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gsjoy8888 opened this issue Jul 17, 2024 · 3 comments
Open

Model conversion process failed when deploying Mixtral 8x22B AWQ with djl-tensorrtllm to Sagemaker #3343

gsjoy8888 opened this issue Jul 17, 2024 · 3 comments
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bug Something isn't working

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@gsjoy8888
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Description

Model conversion process failed with djl-tensorrtllm and below serving.properties:

image_uri = image_uris.retrieve(
        framework="djl-tensorrtllm",
        region=sess.boto_session.region_name,
        version="0.28.0"
    )

%%writefile serving.properties
engine=MPI
option.model_id=MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ
option.tensor_parallel_degree=4
option.quantize=awq
option.max_num_tokens=8192
option.max_rolling_batch_size=8

Expected Behavior

(what's the expected behavior?)

Error Message

| 1721194930489 | [INFO ] LmiUtils - Detected mpi_mode: true, rolling_batch: trtllm, tensor_parallel_degree 4, for modelType: mixtral |
| 1721194930489 | [INFO ] ModelInfo - M-0001: Apply per model settings: job_queue_size: 1000 max_dynamic_batch_size: 1 max_batch_delay: 100 max_idle_time: 60 load_on_devices: * engine: MPI mpi_mode: true option.entryPoint: null option.tensor_parallel_degree: 4 option.max_rolling_batch_size: 8 option.quantize: awq option.mpi_mode: true option.max_num_tokens: 8192 option.model_id: MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ option.rolling_batch: trtllm |
| 1721194933027 | [INFO ] LmiUtils - Converting model to TensorRT-LLM artifacts |
| 1721194933027 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] PyTorch version 2.2.1 available. |
| 1721194933493 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] JAX version 0.4.30 available. |
| 1721194933493 | [INFO ] LmiUtils - convert_py: [TensorRT-LLM] TensorRT-LLM version: 0.9.0 |
| 1721194933493 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] Received kwargs for tensorrt_llm_toolkit.create_model_repo: dict_items([('engine', 'MPI'), ('model_id', 'MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ'), ('tensor_parallel_degree', 4), ('quantize', 'awq'), ('max_num_tokens', '8192'), ('max_rolling_batch_size', '8'), ('trt_llm_model_repo', '/tmp/.djl.ai/trtllm/c1e40db56ea23fb1ec359dff353cdb9a752a827c')]) |
| 1721194933493 | [INFO ] LmiUtils - convert_py: /usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True. |
| 1721194933743 | [INFO ] LmiUtils - convert_py: warnings.warn( |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] Selecting ModelBuilder |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] Configuring model (will download if not available locally): MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] Using llama scripts for model type: mixtral |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] Compiling HuggingFace model into TensorRT engine... |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] Updating TRT config... |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][WARNING] The following overrides are final. Some of them are specifically set by LMI to provide the best compilation experience. |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][WARNING] Model Config Override: qformat=int4_awq |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][WARNING] Model Config Override: calib_size=512 |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][WARNING] Model Config Override: kv_cache_dtype=int8 |
| 1721194933743 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] Quantizing HF checkpoint to TRT checkpoint... |
| 1721194938596 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][INFO] Running command: python3 /usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/build_scripts/quantization/quantize.py --model_dir MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ --dtype float16 --output_dir /tmp/trtllm_llama_ckpt/ --qformat int4_awq --kv_cache_dtype int8 --calib_size 512 --batch_size 32 --tp_size 4 --awq_block_size 64 |
| 1721194939003 | [INFO ] LmiUtils - convert_py: [LMI TRTLLM Toolkit][152][ERROR] Exit code: 1 for command: python3 /usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/build_scripts/quantization/quantize.py --model_dir MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ --dtype float16 --output_dir /tmp/trtllm_llama_ckpt/ --qformat int4_awq --kv_cache_dtype int8 --calib_size 512 --batch_size 32 --tp_size 4 --awq_block_size 64 |
| 1721194939003 | [INFO ] LmiUtils - convert_py: [TensorRT-LLM] TensorRT-LLM version: 0.9.0 |
| 1721194939003 | [INFO ] LmiUtils - convert_py: /usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True. |
| 1721194939003 | [INFO ] LmiUtils - convert_py: warnings.warn( |
| 1721194939003 | [INFO ] LmiUtils - convert_py: Initializing model from MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ |
| 1721194939003 | [INFO ] LmiUtils - convert_py: Traceback (most recent call last): |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/build_scripts/quantization/quantize.py", line 52, in |
| 1721194939003 | [INFO ] LmiUtils - convert_py: quantize_and_export(model_dir=args.model_dir, |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm/quantization/quantize_by_ammo.py", line 268, in quantize_and_export |
| 1721194939003 | [INFO ] LmiUtils - convert_py: model = get_model(model_dir, dtype, device) |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm/quantization/quantize_by_ammo.py", line 163, in get_model |
| 1721194939003 | [INFO ] LmiUtils - convert_py: model = AutoModelForCausalLM.from_pretrained(ckpt_path, |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py", line 563, in from_pretrained |
| 1721194939003 | [INFO ] LmiUtils - convert_py: return model_class.from_pretrained( |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 3155, in from_pretrained |
| 1721194939003 | [INFO ] LmiUtils - convert_py: config.quantization_config = AutoHfQuantizer.merge_quantization_configs( |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/transformers/quantizers/auto.py", line 149, in merge_quantization_configs |
| 1721194939003 | [INFO ] LmiUtils - convert_py: quantization_config = AutoQuantizationConfig.from_dict(quantization_config) |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/transformers/quantizers/auto.py", line 79, in from_dict |
| 1721194939003 | [INFO ] LmiUtils - convert_py: return target_cls.from_dict(quantization_config_dict) |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/transformers/utils/quantization_config.py", line 94, in from_dict |
| 1721194939003 | [INFO ] LmiUtils - convert_py: config = cls(**config_dict) |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/transformers/utils/quantization_config.py", line 693, in init |
| 1721194939003 | [INFO ] LmiUtils - convert_py: self.post_init() |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/transformers/utils/quantization_config.py", line 746, in post_init |
| 1721194939003 | [INFO ] LmiUtils - convert_py: raise ValueError( |
| 1721194939003 | [INFO ] LmiUtils - convert_py: ValueError: You current version of autoawq does not support module quantization skipping, please upgrade autoawq package to at least 0.1.8. |
| 1721194939003 | [INFO ] LmiUtils - convert_py: Traceback (most recent call last): |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/opt/djl/partition/trt_llm_partition.py", line 69, in |
| 1721194939003 | [INFO ] LmiUtils - convert_py: main() |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/opt/djl/partition/trt_llm_partition.py", line 65, in main |
| 1721194939003 | [INFO ] LmiUtils - convert_py: create_trt_llm_repo(properties, args) |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/opt/djl/partition/trt_llm_partition.py", line 33, in create_trt_llm_repo |
| 1721194939003 | [INFO ] LmiUtils - convert_py: create_model_repo(model_id_or_path, **kwargs) |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/init.py", line 61, in create_model_repo |
| 1721194939003 | [INFO ] LmiUtils - convert_py: model.compile_model() |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/trtllmmodel/modelbuilder.py", line 128, in compile_model |
| 1721194939003 | [INFO ] LmiUtils - convert_py: self.quantize_checkpoint_from_lmi_config() |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/trtllmcheckpoint/checkpointbuilder.py", line 382, in quantize_checkpoint_from_lmi_config |
| 1721194939003 | [INFO ] LmiUtils - convert_py: self.quantize_checkpoint(lmi_args) |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/trtllmcheckpoint/checkpointbuilder.py", line 340, in quantize_checkpoint |
| 1721194939003 | [INFO ] LmiUtils - convert_py: exec_command(quantize_checkpoint_cmd) |
| 1721194939003 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/utils/utils.py", line 168, in exec_command |
| 1721194939003 | [INFO ] LmiUtils - convert_py: raise subprocess.CalledProcessError(proc.returncode, proc.args) |
| 1721194939755 | [INFO ] LmiUtils - convert_py: subprocess.CalledProcessError: Command 'python3 /usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/build_scripts/quantization/quantize.py --model_dir MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1-AWQ --dtype float16 --output_dir /tmp/trtllm_llama_ckpt/ --qformat int4_awq --kv_cache_dtype int8 --calib_size 512 --batch_size 32 --tp_size 4 --awq_block_size 64' returned non-zero exit status 1. |
| 1721194939755 | [ERROR] ModelServer - Failed register workflow |
| 1721194939755 | java.util.concurrent.CompletionException: ai.djl.engine.EngineException: Model conversion process failed! |
| 1721194939755 | #011at java.base/java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:315) ~[?:?] |
| 1721194939755 | #011at java.base/java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:320) [?:?] |
| 1721194939755 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1770) [?:?] |
| 1721194939756 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.exec(CompletableFuture.java:1760) [?:?] |
| 1721194939756 | #011at java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:373) [?:?] |
| 1721194939756 | #011at java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1182) [?:?] |
| 1721194939756 | #011at java.base/java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:1655) [?:?] |
| 1721194939756 | #011at java.base/java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1622) [?:?] |
| 1721194939756 | #011at java.base/java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:165) [?:?] |
| 1721194939756 | Caused by: ai.djl.engine.EngineException: Model conversion process failed! |
| 1721194939756 | #011at ai.djl.serving.wlm.LmiUtils.buildTrtLlmArtifacts(LmiUtils.java:338) ~[wlm-0.28.0.jar:?] |
| 1721194939756 | #011at ai.djl.serving.wlm.LmiUtils.convertTrtLLM(LmiUtils.java:133) ~[wlm-0.28.0.jar:?] |
| 1721194939756 | #011at ai.djl.serving.wlm.ModelInfo.initialize(ModelInfo.java:538) ~[wlm-0.28.0.jar:?] |
| 1721194939756 | #011at ai.djl.serving.models.ModelManager.lambda$registerWorkflow$2(ModelManager.java:105) ~[serving-0.28.0.jar:?] |
| 1721194939756 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1768) ~[?:?] |
| 1721194941759 | #11... 6 more |
| 1721194941759 | [INFO ] ModelServer - Model server stopped. |
| 1721194941759 | [ERROR] ModelServer - Unexpected error |
| 1721194941759 | ai.djl.serving.http.ServerStartupException: Failed to initialize startup models and workflows |
| 1721194941759 | #011at ai.djl.serving.ModelServer.start(ModelServer.java:210) ~[serving-0.28.0.jar:?] |
| 1721194941759 | #011at ai.djl.serving.ModelServer.startAndWait(ModelServer.java:174) ~[serving-0.28.0.jar:?] |
| 1721194941759 | #011at ai.djl.serving.ModelServer.main(ModelServer.java:143) [serving-0.28.0.jar:?] |
| 1721194941759 | Caused by: java.util.concurrent.CompletionException: ai.djl.engine.EngineException: Model conversion process failed!

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Environment Info

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@gsjoy8888 gsjoy8888 added the bug Something isn't working label Jul 17, 2024
@gsjoy8888 gsjoy8888 changed the title Model conversion process failed when deploying Mixtral 8x22B AWQ with djl-tensorrtllm Model conversion process failed when deploying Mixtral 8x22B AWQ with djl-tensorrtllm to Sagemaker Jul 17, 2024
@frankfliu
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@ydm-amazon Please take a look.

@gsjoy8888
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It seems that dji-tensorrtllm cannot convert an quantized model, not sure if it was the issue. Hence I tried mistralai/Mixtral-8x7B-Instruct-v0.1 and the conversion failed again with below message:

model = sagemaker.Model(
    image_uri=image_uri, 
    role=role,
    # specify all environment variable configs in this map
    env={
        "HF_MODEL_ID": "mistralai/Mixtral-8x7B-Instruct-v0.1",
        "TENSOR_PARALLEL_DEGREE": "max",
        "OPTION_MAX_NUM_TOKENS": "8192",
        "OPTION_QUANTIZE": "awq",
        "HF_TOKEN": "hf_xNBRqleBjkvQPxxxxxxxxxxxxxxx",
    }
)

| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 71%|??????? | 203409/287113 [00:02<00:01, 77139.42 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 74%|???????? | 211409/287113 [00:02<00:00, 76954.50 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 76%|???????? | 219409/287113 [00:03<00:00, 76684.58 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 80%|???????? | 228409/287113 [00:03<00:00, 76042.56 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 82%|????????? | 236409/287113 [00:03<00:00, 74224.87 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 85%|????????? | 244409/287113 [00:03<00:00, 72637.33 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 88%|????????? | 252409/287113 [00:03<00:00, 71742.55 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 91%|????????? | 260409/287113 [00:03<00:00, 70389.71 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 93%|??????????| 268409/287113 [00:03<00:00, 70755.62 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 96%|??????????| 276409/287113 [00:03<00:00, 71027.88 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 99%|??????????| 284409/287113 [00:03<00:00, 69815.91 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating train split: 100%|??????????| 287113/287113 [00:03<00:00, 72160.21 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating validation split: 0%| | 0/13368 [00:00<?, ? examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating validation split: 67%|??????? | 9000/13368 [00:00<00:00, 76879.14 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating validation split: 100%|??????????| 13368/13368 [00:00<00:00, 73118.40 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating test split: 0%| | 0/11490 [00:00<?, ? examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating test split: 78%|???????? | 9000/11490 [00:00<00:00, 75469.55 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Generating test split: 100%|??????????| 11490/11490 [00:00<00:00, 72635.15 examples/s] |
| 1721291393048 | [INFO ] LmiUtils - convert_py: {'quant_cfg': {'weight_quantizer': {'num_bits': 4, 'block_sizes': {-1: 64}, 'enable': True}, 'input_quantizer': {'enable': False}, 'lm_head': {'enable': False}, 'output_layer': {'enable': False}, 'default': {'enable': False}, '.query_key_value.output_quantizer': {'num_bits': 8, 'axis': None, 'enable': True}, '.Wqkv.output_quantizer': {'num_bits': 8, 'axis': None, 'enable': True}, '.W_pack.output_quantizer': {'num_bits': 8, 'axis': None, 'enable': True}, '.c_attn.output_quantizer': {'num_bits': 8, 'axis': None, 'enable': True}, '.k_proj.output_quantizer': {'num_bits': 8, 'axis': None, 'enable': True}, '.v_proj.output_quantizer': {'num_bits': 8, 'axis': None, 'enable': True}}, 'algorithm': {'method': 'awq_lite', 'alpha_step': 0.1}} |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Starting quantization... |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Replaced 2787 modules to quantized modules |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Caching activation statistics for awq_lite... |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Calibrating batch 0 |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Loading extension ammo_cuda_ext... |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Loading extension ammo_cuda_ext_fp8... |
| 1721291393048 | [INFO ] LmiUtils - convert_py: /usr/local/lib/python3.10/dist-packages/ammo/torch/quantization/nn/modules/tensor_quantizer.py:153: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). |
| 1721291393048 | [INFO ] LmiUtils - convert_py: self.register_buffer("pre_quant_scale", torch.tensor(value)) |
| 1721291393048 | [INFO ] LmiUtils - convert_py: /usr/local/lib/python3.10/dist-packages/ammo/torch/quantization/nn/modules/tensor_quantizer.py:155: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad(True), rather than torch.tensor(sourceTensor). |
| 1721291393048 | [INFO ] LmiUtils - convert_py: value = torch.tensor(value, device=self._pre_quant_scale.device) |
| 1721291393048 | [INFO ] LmiUtils - convert_py: /usr/local/lib/python3.10/dist-packages/numpy/lib/format.py:362: UserWarning: metadata on a dtype is not saved to an npy/npz. Use another format (such as pickle) to store it. |
| 1721291393048 | [INFO ] LmiUtils - convert_py: d['descr'] = dtype_to_descr(array.dtype) |
| 1721291393048 | [INFO ] LmiUtils - convert_py: Searching awq_lite parameters... |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Calibrating batch 0 |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Calibrating batch 0 |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Quantization done. Total time used: 257.33 s. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Unknown model type MixtralForCausalLM. Continue exporting... |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Warning: export_npz is going to be deprecated soon and replaced by safetensors. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: torch.distributed not initialized, assuming single world_size. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: torch.distributed not initialized, assuming single world_size. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: torch.distributed not initialized, assuming single world_size. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: torch.distributed not initialized, assuming single world_size. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: torch.distributed not initialized, assuming single world_size. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: torch.distributed not initialized, assuming single world_size. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: torch.distributed not initialized, assuming single world_size. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: torch.distributed not initialized, assuming single world_size. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: current rank: 0, tp rank: 0, pp rank: 0 |
| 1721291393049 | [INFO ] LmiUtils - convert_py: torch.distributed not initialized, assuming single world_size. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Warning: this is an old NPZ format and will be deprecated soon. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Warning: this is an old NPZ format and will be deprecated soon. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Warning: this is an old NPZ format and will be deprecated soon. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Warning: this is an old NPZ format and will be deprecated soon. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Warning: this is an old NPZ format and will be deprecated soon. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Warning: this is an old NPZ format and will be deprecated soon. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Warning: this is an old NPZ format and will be deprecated soon. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Warning: this is an old NPZ format and will be deprecated soon. |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Traceback (most recent call last): |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/build_scripts/quantization/quantize.py", line 52, in |
| 1721291393049 | [INFO ] LmiUtils - convert_py: quantize_and_export(model_dir=args.model_dir, |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm/quantization/quantize_by_ammo.py", line 360, in quantize_and_export |
| 1721291393049 | [INFO ] LmiUtils - convert_py: with safetensors.safe_open(f"{export_path}/rank0.safetensors", |
| 1721291393049 | [INFO ] LmiUtils - convert_py: FileNotFoundError: No such file or directory: "/tmp/trtllm_llama_ckpt//rank0.safetensors" |
| 1721291393049 | [INFO ] LmiUtils - convert_py: Traceback (most recent call last): |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/opt/djl/partition/trt_llm_partition.py", line 69, in |
| 1721291393049 | [INFO ] LmiUtils - convert_py: main() |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/opt/djl/partition/trt_llm_partition.py", line 65, in main |
| 1721291393049 | [INFO ] LmiUtils - convert_py: create_trt_llm_repo(properties, args) |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/opt/djl/partition/trt_llm_partition.py", line 33, in create_trt_llm_repo |
| 1721291393049 | [INFO ] LmiUtils - convert_py: create_model_repo(model_id_or_path, **kwargs) |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/init.py", line 61, in create_model_repo |
| 1721291393049 | [INFO ] LmiUtils - convert_py: model.compile_model() |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/trtllmmodel/modelbuilder.py", line 128, in compile_model |
| 1721291393049 | [INFO ] LmiUtils - convert_py: self.quantize_checkpoint_from_lmi_config() |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/trtllmcheckpoint/checkpointbuilder.py", line 382, in quantize_checkpoint_from_lmi_config |
| 1721291393049 | [INFO ] LmiUtils - convert_py: self.quantize_checkpoint(lmi_args) |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/trtllmcheckpoint/checkpointbuilder.py", line 340, in quantize_checkpoint |
| 1721291393049 | [INFO ] LmiUtils - convert_py: exec_command(quantize_checkpoint_cmd) |
| 1721291393049 | [INFO ] LmiUtils - convert_py: File "/usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/utils/utils.py", line 168, in exec_command |
| 1721291393049 | [INFO ] LmiUtils - convert_py: raise subprocess.CalledProcessError(proc.returncode, proc.args) |
| 1721291394303 | [INFO ] LmiUtils - convert_py: subprocess.CalledProcessError: Command 'python3 /usr/local/lib/python3.10/dist-packages/tensorrt_llm_toolkit/build_scripts/quantization/quantize.py --model_dir mistralai/Mixtral-8x7B-Instruct-v0.1 --dtype float16 --output_dir /tmp/trtllm_llama_ckpt/ --qformat int4_awq --kv_cache_dtype int8 --calib_size 512 --batch_size 32 --tp_size 8 --awq_block_size 64' returned non-zero exit status 1. |
| 1721291394303 | [ERROR] ModelServer - Failed register workflow |
| 1721291394303 | java.util.concurrent.CompletionException: ai.djl.engine.EngineException: Model conversion process failed! |
| 1721291394303 | #011at java.base/java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:315) ~[?:?] |
| 1721291394303 | #011at java.base/java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:320) [?:?] |
| 1721291394303 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1770) [?:?] |
| 1721291394303 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.exec(CompletableFuture.java:1760) [?:?] |
| 1721291394303 | #011at java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:373) [?:?] |
| 1721291394303 | #011at java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1182) [?:?] |
| 1721291394303 | #011at java.base/java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:1655) [?:?] |
| 1721291394303 | #011at java.base/java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1622) [?:?] |
| 1721291394303 | #011at java.base/java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:165) [?:?] |
| 1721291394303 | Caused by: ai.djl.engine.EngineException: Model conversion process failed! |
| 1721291394303 | #011at ai.djl.serving.wlm.LmiUtils.buildTrtLlmArtifacts(LmiUtils.java:338) ~[wlm-0.28.0.jar:?] |
| 1721291394303 | #011at ai.djl.serving.wlm.LmiUtils.convertTrtLLM(LmiUtils.java:133) ~[wlm-0.28.0.jar:?] |
| 1721291394303 | #011at ai.djl.serving.wlm.ModelInfo.initialize(ModelInfo.java:538) ~[wlm-0.28.0.jar:?] |
| 1721291394303 | #011at ai.djl.serving.models.ModelManager.lambda$registerWorkflow$2(ModelManager.java:105) ~[serving-0.28.0.jar:?] |
| 1721291394303 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1768) ~[?:?] |
| 1721291396810 | #11... 6 more |
| 1721291396810 | [INFO ] ModelServer - Model server stopped. |
| 1721291396810 | [ERROR] ModelServer - Unexpected error |
| 1721291396810 | ai.djl.serving.http.ServerStartupException: Failed to initialize startup models and workflows |
| 1721291396810 | #011at ai.djl.serving.ModelServer.start(ModelServer.java:210) ~[serving-0.28.0.jar:?] |
| 1721291396810 | #011at ai.djl.serving.ModelServer.startAndWait(ModelServer.java:174) ~[serving-0.28.0.jar:?] |
| 1721291396810 | #011at ai.djl.serving.ModelServer.main(ModelServer.java:143) [serving-0.28.0.jar:?] |
| 1721291396810 | Caused by: java.util.concurrent.CompletionException: ai.djl.engine.EngineException: Model conversion process failed! |
| 1721291396810 | #011at java.base/java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:315) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:320) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1770) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.exec(CompletableFuture.java:1760) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:373) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1182) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:1655) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1622) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:165) ~[?:?] |
| 1721291396810 | Caused by: ai.djl.engine.EngineException: Model conversion process failed! |
| 1721291396810 | #011at ai.djl.serving.wlm.LmiUtils.buildTrtLlmArtifacts(LmiUtils.java:338) ~[wlm-0.28.0.jar:?] |
| 1721291396810 | #011at ai.djl.serving.wlm.LmiUtils.convertTrtLLM(LmiUtils.java:133) ~[wlm-0.28.0.jar:?] |
| 1721291396810 | #011at ai.djl.serving.wlm.ModelInfo.initialize(ModelInfo.java:538) ~[wlm-0.28.0.jar:?] |
| 1721291396810 | #011at ai.djl.serving.models.ModelManager.lambda$registerWorkflow$2(ModelManager.java:105) ~[serving-0.28.0.jar:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1768) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.CompletableFuture$AsyncSupply.exec(CompletableFuture.java:1760) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:373) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1182) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:1655) ~[?:?] |
| 1721291396810 | #011at java.base/java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1622) ~[?:?] |
| 1721291398098 | #011at java.base/java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:165) ~[?:?]

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Thanks for the detailed information; I will look into it more today!

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@frankfliu @gsjoy8888 @ydm-amazon