# Cursor Chat: ai-agent-book

## Metadata
- **Project**: ai-agent-book
- **Path**: `/Users/boj`
- **Date**: 2025-10-03 18:26:35
- **Session ID**: `eb0c756c-bbd9-4104-8f2a-d0a60b0a4dd1`

## Conversation

### 👤 You

File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1967, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 883, in exec_module
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/models/mistral/modeling_mistral.py", line 17, in <module>
    from ...modeling_flash_attention_utils import FlashAttentionKwargs
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/modeling_flash_attention_utils.py", line 36, in <module>
    from flash_attn.bert_padding import index_first_axis, pad_input, unpad_input  # noqa
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/flash_attn/__init__.py", line 3, in <module>
    from flash_attn.flash_attn_interface import (
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/flash_attn/flash_attn_interface.py", line 15, in <module>
    import flash_attn_2_cuda as flash_attn_gpu
ImportError: /root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN3c105ErrorC2ENS_14SourceLocationENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/root/AdaptThink/src/main_ppo.py", line 17, in <module>
    from .adapt_think_ray_trainer import AdaptThinkRayPPOTrainer
  File "/root/AdaptThink/src/adapt_think_ray_trainer.py", line 31, in <module>
    from verl.trainer.ppo.ray_trainer import RayPPOTrainer, _timer, apply_kl_penalty, compute_response_mask, AdvantageEstimator
  File "/root/AdaptThink/verl/trainer/ppo/ray_trainer.py", line 45, in <module>
    from verl.utils.dataset.rl_dataset import RLHFDataset, collate_fn
  File "/root/AdaptThink/verl/utils/dataset/__init__.py", line 15, in <module>
    from .rl_dataset import RLHFDataset
  File "/root/AdaptThink/verl/utils/dataset/rl_dataset.py", line 27, in <module>
    from verl.utils.model import compute_position_id_with_mask
  File "/root/AdaptThink/verl/utils/model.py", line 24, in <module>
    from transformers import AutoConfig, AutoModelForCausalLM, PretrainedConfig, MistralForSequenceClassification, GenerationConfig
  File "<frozen importlib._bootstrap>", line 1075, in _handle_fromlist
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1956, in __getattr__
    value = getattr(module, name)
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1955, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1969, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.models.mistral.modeling_mistral because of the following error (look up to see its traceback):
/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN3c105ErrorC2ENS_14SourceLocationENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE

--
I used

---

### 👤 You

File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1967, in _get_module
    return importlib.import_module("." + module_name, self.__name__)
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1050, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 688, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 883, in exec_module
  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/models/mistral/modeling_mistral.py", line 17, in <module>
    from ...modeling_flash_attention_utils import FlashAttentionKwargs
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/modeling_flash_attention_utils.py", line 36, in <module>
    from flash_attn.bert_padding import index_first_axis, pad_input, unpad_input  # noqa
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/flash_attn/__init__.py", line 3, in <module>
    from flash_attn.flash_attn_interface import (
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/flash_attn/flash_attn_interface.py", line 15, in <module>
    import flash_attn_2_cuda as flash_attn_gpu
ImportError: /root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN3c105ErrorC2ENS_14SourceLocationENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/root/AdaptThink/src/main_ppo.py", line 17, in <module>
    from .adapt_think_ray_trainer import AdaptThinkRayPPOTrainer
  File "/root/AdaptThink/src/adapt_think_ray_trainer.py", line 31, in <module>
    from verl.trainer.ppo.ray_trainer import RayPPOTrainer, _timer, apply_kl_penalty, compute_response_mask, AdvantageEstimator
  File "/root/AdaptThink/verl/trainer/ppo/ray_trainer.py", line 45, in <module>
    from verl.utils.dataset.rl_dataset import RLHFDataset, collate_fn
  File "/root/AdaptThink/verl/utils/dataset/__init__.py", line 15, in <module>
    from .rl_dataset import RLHFDataset
  File "/root/AdaptThink/verl/utils/dataset/rl_dataset.py", line 27, in <module>
    from verl.utils.model import compute_position_id_with_mask
  File "/root/AdaptThink/verl/utils/model.py", line 24, in <module>
    from transformers import AutoConfig, AutoModelForCausalLM, PretrainedConfig, MistralForSequenceClassification, GenerationConfig
  File "<frozen importlib._bootstrap>", line 1075, in _handle_fromlist
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1956, in __getattr__
    value = getattr(module, name)
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1955, in __getattr__
    module = self._get_module(self._class_to_module[name])
  File "/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1969, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import transformers.models.mistral.modeling_mistral because of the following error (look up to see its traceback):
/root/miniconda3/envs/adapt_think/lib/python3.10/site-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN3c105ErrorC2ENS_14SourceLocationENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE

--
I used 
conda create -n adapt_think python=3.10
pip install -r requirements.txt
pip install flash-attn --no-build-isolation

---

### 🤖 Cursor Assistant

I can see you're encountering a version mismatch issue between `flash-attn` and PyTorch. This error occurs when flash-attention was compiled against a different version of PyTorch than the one currently installed in your environment.

Let me first check the requirements file to understand the dependencies:

---

### 🤖 Cursor Assistant

I can see the issue. The `requirements.txt` doesn't pin specific versions for PyTorch and transformers, which is causing a version mismatch with flash-attention. This is a common problem with flash-attention - it needs to be compiled against the specific PyTorch version you have installed.

Here's how to fix it:

## Solution

**Step 1: Uninstall the problematic flash-attn**
```bash
pip uninstall flash-attn -y
```

**Step 2: Check your PyTorch and CUDA versions**
```bash
python -c "import torch; print(f'PyTorch: {torch.__version__}'); print(f'CUDA: {torch.version.cuda}')"
```

**Step 3: Reinstall flash-attn with the correct method**

The key is to ensure flash-attn is compiled against your current PyTorch version. Try one of these approaches:

### Option A: Install pre-built wheels (Fastest)
```bash
# For CUDA 12.1 (check your CUDA version first)
pip install flash-attn --no-build-isolation
```

If this still fails, try:

### Option B: Install from source (More reliable)
```bash
pip install ninja packaging
pip install flash-attn --no-build-isolation --no-cache-dir
```

### Option C: Use compatible versions (Recommended)
Update your environment with compatible versions:

```bash
# Uninstall everything
pip uninstall torch transformers flash-attn -y

# Install compatible versions
pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu121
pip install transformers==4.36.2
pip install flash-attn --no-build-isolation
```

### Option D: Workaround - Disable flash attention
If you need to run immediately without flash attention, you can set an environment variable:

```bash
export FLASH_ATTENTION_ENABLED=0
# or in Python before imports:
import os
os.environ["ATTN_IMPLEMENTATION"] = "eager"
```

**Which option should you choose?**
- Try **Option A** first (quickest)
- If that fails, try **Option C** (most reliable with known compatible versions)
- Use **Option D** only if you need to run immediately and performance isn't critical

Would you like me to help you with any of these approaches?

---

### 👤 You

~/AdaptThink$ python -c "import torch; print(f'PyTorch: {torch.__version__}'); print(f'CUDA: {torch.version.cuda}')"
PyTorch: 2.6.0+cu124
CUDA: 12.4

---

### 🤖 Cursor Assistant

Thanks for providing that info! You have **PyTorch 2.6.0 with CUDA 12.4**, which is a very recent version. The flash-attention library was likely compiled against an older PyTorch version, causing the ABI incompatibility.

Here are your options, ordered by recommendation:

## Option 1: Reinstall flash-attn from source (Try this first)

Since you have a recent PyTorch version, you need to compile flash-attn against it:

```bash
pip uninstall flash-attn -y
pip install ninja packaging
MAX_JOBS=4 pip install flash-attn --no-build-isolation --no-cache-dir
```

The `MAX_JOBS=4` limits parallel compilation to avoid memory issues. Adjust based on your system.

## Option 2: Downgrade to stable PyTorch version (Most reliable)

PyTorch 2.6.0 is very recent and may not have full flash-attn support yet. Downgrade to a more stable version:

```bash
pip uninstall torch torchvision torchaudio flash-attn -y

# Install PyTorch 2.4.1 with CUDA 12.4
pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu124

# Now install flash-attn
pip install flash-attn --no-build-isolation
```

## Option 3: Use PyTorch 2.3.x (Even more stable)

If Option 2 still has issues:

```bash
pip uninstall torch torchvision torchaudio flash-attn -y

# Install PyTorch 2.3.1 with CUDA 12.1
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121

# Install flash-attn
pip install flash-attn --no-build-isolation
```

## Option 4: Disable flash attention (Quick workaround)

If you need to run immediately:

```bash
export ATTN_IMPLEMENTATION=sdpa
# or
export ATTN_IMPLEMENTATION=eager
```

Then run your training script. This will use PyTorch's native attention instead of flash-attn.

**My recommendation:** Try **Option 2** (PyTorch 2.4.1) as it's the most stable recent version with good flash-attn support and matches your CUDA 12.4.

Would you like me to help you verify the installation after trying one of these options?

---

### 👤 You

(TaskRunner pid=13327) /root/AdaptThink/src/adapt_think_rm.py:22: SyntaxWarning: invalid escape sequence '\{'
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(TaskRunner pid=13327)   m = re.search("^\\\\text\{(?P<text>.+?)\}$", answer)
  File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/ray/_private/worker.py", line 968, in get_objects
(TaskRunner pid=13327) /root/AdaptThink/src/adapt_think_rm.py:134: SyntaxWarning: invalid escape sequence '\%'
(TaskRunner pid=13327)   string = string.replace("\%", "")
(TaskRunner pid=13327) /root/AdaptThink/src/adapt_think_rm.py:171: SyntaxWarning: invalid escape sequence '\^'
(TaskRunner pid=13327)   BAD_REGEXES = ["\^[0-9]+\^", "\^[0-9][0-9]+"]
(TaskRunner pid=13327) /root/AdaptThink/src/adapt_think_rm.py:171: SyntaxWarning: invalid escape sequence '\^'
(TaskRunner pid=13327)   BAD_REGEXES = ["\^[0-9]+\^", "\^[0-9][0-9]+"]
(TaskRunner pid=13327) /root/AdaptThink/src/adapt_think_rm.py:251: SyntaxWarning: invalid escape sequence '\d'
(TaskRunner pid=13327)   p1 = re.compile("(\d)(,)(\d\d\d)($|\D)")
(TaskRunner pid=13327) /root/AdaptThink/src/adapt_think_rm.py:266: SyntaxWarning: invalid escape sequence '\{'
    raise value.as_instanceof_cause()
(TaskRunner pid=13327)   m = re.search("^\\\\text\{(?P<text>.+?)\}$", expr)
ray.exceptions.RayTaskError(ModuleNotFoundError): ray::TaskRunner.run() (pid=13327, ip=172.17.0.2, actor_id=1a79eed2ab2919f85dfe82b601000000, repr=<main_ppo.TaskRunner object at 0x7fbb01a7c6e0>)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/AdaptThink/src/main_ppo.py", line 151, in run
    from .adapt_think_reward_manager import AdaptThinkRewardManager
  File "/root/AdaptThink/src/adapt_think_reward_manager.py", line 16, in <module>
    from .adapt_think_rm import adapt_think_rm
  File "/root/AdaptThink/src/adapt_think_rm.py", line 11, in <module>
    from math_verify import parse, verify
ModuleNotFoundError: No module named 'math_verify'
(TaskRunner pid=13327) /root/AdaptThink/src/adapt_think_rm.py:299: SyntaxWarning: invalid escape sequence '\^'
(TaskRunner pid=13327)   expr = re.sub(f"{unit}(es)?(s)? *(\^[0-9]+)?", "", expr)
(TaskRunner pid=13327) /root/AdaptThink/src/adapt_think_rm.py:300: SyntaxWarning: invalid escape sequence '\^'
(TaskRunner pid=13327)   expr = re.sub(f"\^ *\\\\circ", "", expr)

--
Check the AdaptThink code

---

### 🤖 Cursor Assistant

I can see two main issues here:

1. **Missing module**: `math_verify` is not installed
2. **Syntax warnings**: Invalid escape sequences in regex patterns (Python 3.12 is stricter about this)

Let me search for the AdaptThink code in your repository:

---

### 🤖 Cursor Assistant

Found it! The AdaptThink project is in `/Users/boj/ai-agent-book/projects/week7/AdaptThink/`. Let me examine the problematic file:

---

### 🤖 Cursor Assistant

Perfect! I found the issues:

## Problem 1: Missing `math_verify` module

The module exists at `AdaptThink/verl/utils/reward_score/math_verify.py`, but the import is wrong. It's trying to import as a top-level module instead of from the correct path.

## Problem 2: Invalid escape sequences

Multiple regex patterns need raw strings (prefix with `r`).

Let me check the file structure and then fix both issues:

---

### 🤖 Cursor Assistant

Now I can see the full issue. Let me create a todo and fix both problems:

---

### 🤖 Cursor Assistant

Now let me fix all the regex escape sequence warnings:

---

### 🤖 Cursor Assistant

Perfect! Now let me verify the fixes by checking for any remaining linter errors:

---

### 🤖 Cursor Assistant

Excellent! I've fixed both issues in the AdaptThink code:

## ✅ Fixed Issues

### 1. **Missing `math_verify` module** (Line 11)
Changed:
```python
from math_verify import parse, verify
```
To:
```python
from verl.utils.reward_score.math_verify import parse, verify
```

The module exists in your project at `AdaptThink/verl/utils/reward_score/math_verify.py`, but the import was incorrect.

### 2. **Invalid escape sequences in regex patterns**
Fixed all regex patterns to use raw strings (prefix `r`):
- Line 22: `r"^\\text\{(?P<text>.+?)\}$"`
- Line 134: `r"\%"`
- Line 171: `r"\^[0-9]+\^"` and `r"\^[0-9][0-9]+"`
- Line 251: `r"(\d)(,)(\d\d\d)($|\D)"`
- Line 266: `r"^\\text\{(?P<text>.+?)\}$"`
- Lines 299-300: `rf"{unit}(es)?(s)? *(\^[0-9]+)?"` and `r"\^ *\\circ"`

All linter errors are now resolved!

## 🚀 Next Steps

Now you still need to fix the **flash-attention** issue. Based on your PyTorch 2.6.0 + CUDA 12.4 setup, I recommend:

**Option 1 (Recommended): Downgrade to PyTorch 2.4.1**
```bash
pip uninstall torch torchvision torchaudio flash-attn -y
pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu124
pip install flash-attn --no-build-isolation
```

**Option 2: Rebuild flash-attn from source**
```bash
pip uninstall flash-attn -y
MAX_JOBS=4 pip install flash-attn --no-build-isolation --no-cache-dir
```

Try Option 1 first as it's most reliable. Let me know if you encounter any other issues!

---

### 👤 You

Also fix the installation:

I'm using Python 3.12

---

### 🤖 Cursor Assistant

I see the issue - you mentioned using Python 3.12, but your conda environment was created with Python 3.10. Let me check the requirements and provide a comprehensive fix:

---

### 🤖 Cursor Assistant

I see - you're using Python 3.12, but the conda environment was created with Python 3.10. Let me create a comprehensive installation guide for Python 3.12 with compatible versions:

---

### 👤 You

^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/hydra/core/utils.py", line 260, in return_value
    raise self._return_value
  File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/hydra/core/utils.py", line 186, in run_job
    ret.return_value = task_function(task_cfg)
                       ^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/AdaptThink/src/main_ppo.py", line 59, in main
    run_ppo(config)
  File "/root/AdaptThink/src/main_ppo.py", line 77, in run_ppo
    ray.get(runner.run.remote(config))
  File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/ray/_private/auto_init_hook.py", line 22, in auto_init_wrapper
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/ray/_private/client_mode_hook.py", line 104, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/ray/_private/worker.py", line 2882, in get
    values, debugger_breakpoint = worker.get_objects(object_refs, timeout=timeout)
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/ray/_private/worker.py", line 968, in get_objects
    raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(ImportError): ray::TaskRunner.run() (pid=21668, ip=172.17.0.2, actor_id=8ccfb4cb98f97f549e518bf501000000, repr=<main_ppo.TaskRunner object at 0x7fa715b66960>)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/AdaptThink/src/main_ppo.py", line 151, in run
    from .adapt_think_reward_manager import AdaptThinkRewardManager
  File "/root/AdaptThink/src/adapt_think_reward_manager.py", line 16, in <module>
    from .adapt_think_rm import adapt_think_rm
  File "/root/AdaptThink/src/adapt_think_rm.py", line 11, in <module>
    from verl.utils.reward_score.math_verify import parse, verify
ImportError: cannot import name 'parse' from 'verl.utils.reward_score.math_verify' (/root/AdaptThink/verl/utils/reward_score/math_verify.py)
(TaskRunner pid=21668) To use Math-Verify, please install it first by running `pip install math-verify`.

-
fix the deps

---

### 🤖 Cursor Assistant

I see the issue. The `math_verify.py` file in verl is likely just a wrapper that requires the actual `math-verify` package. Let me check the file and fix the dependencies:

---

### 🤖 Cursor Assistant

I see the issue now! The `verl/utils/reward_score/math_verify.py` file doesn't export `parse` and `verify` functions - it only has a `compute_score` function. The original code was actually trying to import from the external `math-verify` package, which needs to be installed separately.

Let me fix both the import and the requirements:

---

### 🤖 Cursor Assistant

Perfect! Now let me create a quick reference for the complete installation commands:

---

### 👤 You

(TaskRunner pid=30064) ImportError: /root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/_C.abi3.so: undefined symbol: _ZNK3c1011StorageImpl27throw_data_ptr_access_errorEv
(TaskRunner pid=30064) Unhandled error (suppress with 'RAY_IGNORE_UNHANDLED_ERRORS=1'): ray::WorkerDict.actor_rollout_init_model() (pid=34550, ip=172.17.0.2, actor_id=610fa1209bba22c30b047d9c01000000, repr=<verl.single_controller.ray.base.WorkerDict object at 0x7fb833b14e30>)
(TaskRunner pid=30064)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(TaskRunner pid=30064)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(TaskRunner pid=30064)   File "/root/AdaptThink/verl/single_controller/ray/base.py", line 439, in func
(TaskRunner pid=30064)     return getattr(self.worker_dict[key], name)(*args, **kwargs)
(TaskRunner pid=30064)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(TaskRunner pid=30064)   File "/root/AdaptThink/verl/single_controller/base/decorator.py", line 409, in inner
(TaskRunner pid=30064)     return func(*args, **kwargs)
(TaskRunner pid=30064)            ^^^^^^^^^^^^^^^^^^^^^
(TaskRunner pid=30064)   File "/root/AdaptThink/src/adapt_think_fsdp_workers.py", line 384, in init_model
(TaskRunner pid=30064)     self.rollout, self.rollout_sharding_manager = self._build_rollout(
(TaskRunner pid=30064)                                                   ^^^^^^^^^^^^^^^^^^^^
(TaskRunner pid=30064)   File "/root/AdaptThink/src/adapt_think_fsdp_workers.py", line 312, in _build_rollout
(TaskRunner pid=30064)     from .adapt_think_vllm_rollout import AdaptThinkvLLMRollout
(TaskRunner pid=30064)   File "/root/AdaptThink/src/adapt_think_vllm_rollout.py", line 41, in <module>
(TaskRunner pid=30064)     from vllm import LLM, SamplingParams
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/__init__.py", line 11, in <module>
(TaskRunner pid=30064)     from vllm.engine.arg_utils import AsyncEngineArgs, EngineArgs
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/engine/arg_utils.py", line 22, in <module>
(TaskRunner pid=30064)     from vllm.executor.executor_base import ExecutorBase
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/executor/executor_base.py", line 16, in <module>
(TaskRunner pid=30064)     from vllm.model_executor.layers.sampler import SamplerOutput
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/model_executor/layers/sampler.py", line 23, in <module>
(TaskRunner pid=30064)     from vllm.spec_decode.metrics import SpecDecodeWorkerMetrics
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/spec_decode/metrics.py", line 9, in <module>
(TaskRunner pid=30064)     from vllm.model_executor.layers.spec_decode_base_sampler import (
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/model_executor/layers/spec_decode_base_sampler.py", line 10, in <module>
(TaskRunner pid=30064)     from vllm.platforms import current_platform
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/platforms/__init__.py", line 271, in __getattr__
(TaskRunner pid=30064)     _current_platform = resolve_obj_by_qualname(
(TaskRunner pid=30064)                         ^^^^^^^^^^^^^^^^^^^^^^^^
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/utils.py", line 1905, in resolve_obj_by_qualname
(TaskRunner pid=30064)     module = importlib.import_module(module_name)
(TaskRunner pid=30064)              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/importlib/__init__.py", line 90, in import_module
(TaskRunner pid=30064)     return _bootstrap._gcd_import(name[level:], package, level)
(TaskRunner pid=30064)            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(TaskRunner pid=30064)   File "/root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/platforms/cuda.py", line 15, in <module>
(TaskRunner pid=30064)     import vllm._C  # noqa
(TaskRunner pid=30064)     ^^^^^^^^^^^^^^
(TaskRunner pid=30064) ImportError: /root/miniconda3/envs/adapt_think/lib/python3.12/site-packages/vllm/_C.abi3.so: undefined symbol: _ZNK3c1011StorageImpl27throw_data_ptr_access_errorEv
(WorkerDict pid=34553) Flash Attention 2.0 only supports torch.float16 and torch.bfloat16 dtypes, but the current dype in Qwen2ForCausalLM is torch.float32. You should run training or inference using Automatic Mixed-Precision via the `with torch.autocast(device_type='torch_device'):` decorator, or load the model with the `torch_dtype` argument. Example: `model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="flash_attention_2", torch_dtype=torch.float16)` [repeated 7x across cluster]
(WorkerDict pid=34553) You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`. [repeated 7x across cluster]
(WorkerDict pid=34390) Total steps: 3140, num_warmup_steps: 0 [repeated 7x across cluster]
(WorkerDict pid=34390) Actor use_remove_padding=True [repeated 7x across cluster]

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### 🤖 Cursor Assistant

Now you have a **vLLM ABI incompatibility** with PyTorch 2.4.1. The vLLM binary was compiled against a different PyTorch version. Let me update the installation guide to fix this:

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### 🤖 Cursor Assistant

Now let me add a section for troubleshooting vLLM specifically:

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### 🤖 Cursor Assistant

Perfect! Now let me create a quick command reference for you to fix your current environment:

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*Exported from [Cursor View](https://github.com/saharmor/cursor-view)*