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[Bugfix] Fix phi3v incorrect image_idx when using async engine #7916

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merged 3 commits into from
Aug 27, 2024

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Isotr0py
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FILL IN THE PR DESCRIPTION HERE

FIX #xxxx (link existing issues this PR will resolve)

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@Isotr0py
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/ready

@github-actions github-actions bot added the ready ONLY add when PR is ready to merge/full CI is needed label Aug 27, 2024
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Thanks for the quick fix!

@DarkLight1337 DarkLight1337 enabled auto-merge (squash) August 27, 2024 15:46
@DarkLight1337 DarkLight1337 merged commit b09c755 into vllm-project:main Aug 27, 2024
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@Isotr0py Isotr0py deleted the fix-cpu-phi3v branch August 28, 2024 02:10
triple-Mu pushed a commit to triple-Mu/vllm_official that referenced this pull request Sep 4, 2024
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hey @DarkLight1337 @Isotr0py I am getting this error

Attempted to assign 457 = 457 multimodal tokens to 757 placeholders

10:36
“url”: “https://mir-s3-cdn-cf.behance.net/project_modules/max_1200/73fbe271026179.5bb6e7af358b6.jpg”

Does this PR fix this problem?

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DarkLight1337 commented Sep 5, 2024

hey @DarkLight1337 @Isotr0py I am getting this error

Attempted to assign 457 = 457 multimodal tokens to 757 placeholders

10:36 “url”: “https://mir-s3-cdn-cf.behance.net/project_modules/max_1200/73fbe271026179.5bb6e7af358b6.jpg”

Does this PR fix this problem?

Please show the stack trace and the command/code you used. I'm unable to view the image.

@stikkireddy
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hey @DarkLight1337 thanks for the sanppy response the html had issue https://mir-s3-cdn-cf.behance.net/project_modules/max_1200/73fbe271026179.5bb6e7af358b6.jpg

[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] Traceback (most recent call last):
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 55, in _log_task_completion
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] return_value = task.result()
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 930, in run_engine_loop
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] result = task.result()
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 873, in engine_step
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] request_outputs = await self.engine.step_async(virtual_engine)
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 337, in step_async
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] output = await self.model_executor.execute_model_async(
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/executor/gpu_executor.py", line 178, in execute_model_async
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] output = await make_async(self.driver_worker.execute_model
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/concurrent/futures/thread.py", line 58, in run
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] result = self.fn(*self.args, **self.kwargs)
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/worker/worker_base.py", line 322, in execute_model
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] output = self.model_runner.execute_model(
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] return func(*args, **kwargs)
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/worker/model_runner.py", line 1415, in execute_model
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] hidden_or_intermediate_states = model_executable(
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] return self._call_impl(*args, **kwargs)
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] return forward_call(*args, **kwargs)
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/model_executor/models/phi3v.py", line 577, in forward
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] inputs_embeds = merge_multimodal_embeddings(
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/model_executor/models/utils.py", line 88, in merge_multimodal_embeddings
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] raise ValueError(
[5c964hcpzq] ERROR 09-05 14:03:03 async_llm_engine.py:65] ValueError: Attempted to assign 457 = 457 multimodal tokens to 757 placeholders
[5c964hcpzq] Exception in callback functools.partial(<function _log_task_completion at 0x7f1d217484c0>, error_callback=<bound method AsyncLLMEngine._error_callback of <vllm.engine.async_llm_engine.AsyncLLMEngine object at 0x7f1d094635b0>>)
[5c964hcpzq] handle: <Handle functools.partial(<function _log_task_completion at 0x7f1d217484c0>, error_callback=<bound method AsyncLLMEngine._error_callback of <vllm.engine.async_llm_engine.AsyncLLMEngine object at 0x7f1d094635b0>>)>
[5c964hcpzq] Traceback (most recent call last):
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 55, in _log_task_completion
[5c964hcpzq] return_value = task.result()
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 930, in run_engine_loop
[5c964hcpzq] result = task.result()
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 873, in engine_step
[5c964hcpzq] request_outputs = await self.engine.step_async(virtual_engine)
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/engine/async_llm_engine.py", line 337, in step_async
[5c964hcpzq] output = await self.model_executor.execute_model_async(
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/executor/gpu_executor.py", line 178, in execute_model_async
[5c964hcpzq] output = await make_async(self.driver_worker.execute_model
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/concurrent/futures/thread.py", line 58, in run
[5c964hcpzq] result = self.fn(*self.args, **self.kwargs)
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/worker/worker_base.py", line 322, in execute_model
[5c964hcpzq] output = self.model_runner.execute_model(
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
[5c964hcpzq] return func(*args, **kwargs)
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/worker/model_runner.py", line 1415, in execute_model
[5c964hcpzq] hidden_or_intermediate_states = model_executable(
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
[5c964hcpzq] return self._call_impl(*args, **kwargs)
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[5c964hcpzq] return forward_call(*args, **kwargs)
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/model_executor/models/phi3v.py", line 577, in forward
[5c964hcpzq] inputs_embeds = merge_multimodal_embeddings(
[5c964hcpzq] File "/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/vllm/model_executor/models/utils.py", line 88, in merge_multimodal_embeddings
[5c964hcpzq] raise ValueError(
[5c964hcpzq] ValueError: Attempted to assign 457 = 457 multimodal tokens to 757 placeholders

@DarkLight1337
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DarkLight1337 commented Sep 5, 2024

Which version of vLLM are you using? Also which model exactly?

@stikkireddy
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stikkireddy commented Sep 5, 2024

apologies for the delay:

[DEBUG][pid:1530] Command to be run: ['/local_disk0/.ephemeral_nfs/envs/pythonEnv-f5e9abdb-8a34-4c63-ad6d-5227ccc7b38f/bin/python', '-m', 'vllm.entrypoints.openai.api_server', '--host', '0.0.0.0', '--port', '9989', '--model', 'microsoft/Phi-3.5-vision-instruct', '--served-model-name', 'microsoft/Phi-3.5-vision-instruct', '--trust-remote-code', '--max-model-len', '12000', '--guided-decoding-backend', 'outlines'

vllm is version 0.5.5 pinned
microsoft/Phi-3.5-vision-instruct

@Isotr0py
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Isotr0py commented Sep 5, 2024

Seems that it is caused by small max_num_batched_tokens as well.

@stikkireddy Can you add --max_num_batched_tokens=4096 or use vllm 0.6.0 to see if it can work?

@stikkireddy
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hmm i dont have chunked prefilling enabled but it consistently fails with that image so i will test that out with chunked prefilling enabled. and also test with 0.6.0. which has a lot of flavors i am looking for. This seemed like the closest issue to mine so i thought i would ask here thanks for the advise so far. I will post a formal issue if this doesnt get resolved otherwise i will post here.

@stikkireddy
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upgrading resolved this issue added this to my test runner job as a test case. thx for the assistance. The upgrade just fixed the problem, i did not need to modify any config. I am trying to offer a OOTB default config and before i add customizations. I am trying to support 3 clouds so adding too many configs makes my life miserable unless i have a easy way to run tests across all clouds and supported models in our weird infra setup.

Alvant pushed a commit to compressa-ai/vllm that referenced this pull request Oct 26, 2024
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