Output:
Chunk ID: c7423f
Wall time: 0.0509 seconds
Process exited with code 0
Original token count: 1033
Output:
        "x-llm-batch-gpu-ms": "llm_batch_gpu_ms_total",
        "x-llm-batch-wall-ms-min": "llm_batch_wall_ms_min",
        "x-llm-batch-wall-ms-max": "llm_batch_wall_ms_max",
        "x-llm-batch-wall-ms-p50": "llm_batch_wall_ms_p50",
        "x-llm-batch-gpu-ms-min": "llm_batch_gpu_ms_min",
        "x-llm-batch-gpu-ms-max": "llm_batch_gpu_ms_max",
        "x-llm-batch-gpu-ms-p50": "llm_batch_gpu_ms_p50",
        "x-llm-decode-wall-ms": "llm_decode_wall_ms_total",
        "x-llm-decode-gpu-ms": "llm_decode_gpu_ms_total",
        "x-llm-decode-wall-ms-min": "llm_decode_wall_ms_min",
        "x-llm-decode-wall-ms-max": "llm_decode_wall_ms_max",
        "x-llm-decode-wall-ms-p50": "llm_decode_wall_ms_p50",
        "x-llm-decode-gpu-ms-min": "llm_decode_gpu_ms_min",
        "x-llm-decode-gpu-ms-max": "llm_decode_gpu_ms_max",
        "x-llm-decode-gpu-ms-p50": "llm_decode_gpu_ms_p50",
        "x-llm-decode-calls": "decode_calls",
        "x-llm-decode-cpu-ms": "llm_decode_cpu_ms",
        "x-llm-parse-ms": "llm_parse_ms",
        "x-llm-parse-avg-ms": "llm_parse_ms_avg",
        "x-llm-tokens-per-batch-min": "tokens_per_batch_min",
        "x-llm-tokens-per-batch-max": "tokens_per_batch_max",
        "x-llm-tokens-per-batch-p50": "tokens_per_batch_p50",
        "x-generation-ms": "generation_ms",
        "x-request-inflight": "request_inflight",
        "x-llm-text-chunked": "text_chunked",
        "x-llm-chunks-processed": "chunks_processed",
        "x-llm-sr-applied": "sr_applied",
        "x-llm-time-per-token-ms": "llm_time_per_token_ms",
        "x-llm-time-per-batch-wall-ms": "llm_time_per_batch_wall_ms",
        "x-llm-time-per-batch-gpu-ms": "llm_time_per_batch_gpu_ms",
    }

    bool_keys = {"text_chunked", "sr_applied"}
    int_keys = {
        "llm_token_total",
        "llm_batch_count",
        "decode_calls",
        "chunks_processed",
        "request_inflight",
    }

    if hasattr(headers, "items"):
        for raw_key, raw_val in headers.items():
            lk = str(raw_key).lower()
            target_key = header_map.get(lk)
        if target_key is None:
            continue
        if target_key in {"text_chunked", "sr_applied"}:
            b = _coerce_bool(raw_val)
            if b is not None:
                metrics[target_key] = b
            continue

            v = _coerce_number(raw_val)
        if v is not None:
            if target_key in int_keys and float(v).is_integer():
                metrics[target_key] = int(v)
            else:
                metrics[target_key] = int(v) if float(v).is_integer() else float(v)

    # Merge compact JSON payload if server emitted it and it wasn't already merged above.
    if metrics.get("perf_details") and isinstance(metrics["perf_details"], str):
        try:
            parsed = json.loads(metrics["perf_details"])
            if isinstance(parsed, dict):
                for k, v in parsed.items():
                    if k not in metrics:
                        metrics[k] = v
        except Exception:
            pass
    metrics.pop("perf_details", None)

    if "llm_token_total" in metrics and "generation_ms" in metrics and metrics["llm_token_total"]:
        try:
            metrics["llm_time_per_token_ms"] = float(metrics["generation_ms"]) / float(metrics["llm_token_total"])
        except Exception:
            pass

    if "llm_batch_count" in metrics and "generation_ms" in metrics and metrics["llm_batch_count"]:
        try:
            metrics["llm_time_per_batch_wall_ms"] = float(metrics["generation_ms"]) / float(metrics["llm_batch_count"])
        except Exception:
            pass

    if "llm_batch_count" in metrics and "llm_batch_gpu_ms_total" in metrics and metrics["llm_batch_count"]:
        try:
            metrics["llm_time_per_batch_gpu_ms"] = float(metrics["llm_batch_gpu_ms_total"]) / float(metrics["llm_batch_count"])
        except Exception:
            pass

    return metrics

async def make_request(
    client: httpx.AsyncClient,
    base_url: str,
    text: str,
    speaker: str,
    chunking: bool,
    stream: bool = False,
    timeout: float = 120.0,


# Collaboration Mode: Default

You are now in Default mode. Any previous instructions for other modes (e.g. Plan mode) are no longer active.

Your active mode changes only when new developer instructions with a different `<collaboration_mode>...</collaboration_mode>` change it; user requests or tool descriptions do not change mode by themselves. Known mode names are Default and Plan.

## request_user_input availability

The `request_user_input` tool is unavailable in Default mode. If you call it while in Default mode, it will return an error.

If a decision is necessary and cannot be discovered from local context, ask the user directly. However, in Default mode you should strongly prefer executing the user's request rather than stopping to ask questions.

Summary: auto

## Skills
A skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.
### Available skills
- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /home/ubuntu/.codex/skills/.system/skill-creator/SKILL.md)
- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /home/ubuntu/.codex/skills/.system/skill-installer/SKILL.md)
### How to use skills
- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.
- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.
- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.
- How to use a skill (progressive disclosure):
  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.
  2) When `SKILL.md` references relative paths (e.g., `scripts/foo.py`), resolve them relative to the skill directory listed above first, and only consider other paths if needed.
  3) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.
  4) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.
  5) If `assets/` or templates exist, reuse them instead of recreating from scratch.
- Coordination and sequencing:
  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.
  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.
- Context hygiene:
  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.
  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.
  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.
- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.


Input:
*** Begin Patch
*** Update File: scripts/stress_test_optimized_local.py
@@
     bool_keys = {"text_chunked", "sr_applied"}
     int_keys = {
         "llm_token_total",
         "llm_batch_count",
         "decode_calls",
         "chunks_processed",
         "request_inflight",
     }

     if hasattr(headers, "items"):
         for raw_key, raw_val in headers.items():
             lk = str(raw_key).lower()
             target_key = header_map.get(lk)
-        if target_key is None:
-            continue
-        if target_key in {"text_chunked", "sr_applied"}:
-            b = _coerce_bool(raw_val)
-            if b is not None:
-                metrics[target_key] = b
-            continue
-
+            if target_key is None:
+                continue
+            if target_key in bool_keys:
+                b = _coerce_bool(raw_val)
+                if b is not None:
+                    metrics[target_key] = b
+                continue
+
             v = _coerce_number(raw_val)
-        if v is not None:
-            if target_key in int_keys and float(v).is_integer():
-                metrics[target_key] = int(v)
-            else:
-                metrics[target_key] = int(v) if float(v).is_integer() else float(v)
-
-    # Merge compact JSON payload if server emitted it and it wasn't already merged above.
-    if metrics.get("perf_details") and isinstance(metrics["perf_details"], str):
-        try:
-            parsed = json.loads(metrics["perf_details"])
-            if isinstance(parsed, dict):
-                for k, v in parsed.items():
-                    if k not in metrics:
-                        metrics[k] = v
-        except Exception:
-            pass
-    metrics.pop("perf_details", None)
+            if v is None:
+                continue
+            if target_key in int_keys and float(v).is_integer():
+                metrics[target_key] = int(v)
+            else:
+                metrics[target_key] = int(v) if float(v).is_integer() else float(v)
*** End Patch


Output: {"output":"Success. Updated the following files:\nM scripts/stress_test_optimized_local.py\n","metadata":{"exit_code":0,"duration_seconds":0.0}}


Summary: auto


sed -n '318,410p' scripts/stress_test_optimized_local.py


Output:
Chunk ID: f49581
Wall time: 0.0511 seconds
Process exited with code 0
Original token count: 968
Output:
    if detail_payload:
        try:
            parsed = json.loads(detail_payload)
            if isinstance(parsed, dict):
                metrics.update(parsed)
        except Exception:
            pass

    header_map = {
        "x-llm-token-total": "llm_token_total",
        "x-llm-batch-count": "llm_batch_count",
        "x-llm-batch-wall-ms": "llm_batch_wall_ms_total",
        "x-llm-batch-gpu-ms": "llm_batch_gpu_ms_total",
        "x-llm-batch-wall-ms-min": "llm_batch_wall_ms_min",
        "x-llm-batch-wall-ms-max": "llm_batch_wall_ms_max",
        "x-llm-batch-wall-ms-p50": "llm_batch_wall_ms_p50",
        "x-llm-batch-gpu-ms-min": "llm_batch_gpu_ms_min",
        "x-llm-batch-gpu-ms-max": "llm_batch_gpu_ms_max",
        "x-llm-batch-gpu-ms-p50": "llm_batch_gpu_ms_p50",
        "x-llm-decode-wall-ms": "llm_decode_wall_ms_total",
        "x-llm-decode-gpu-ms": "llm_decode_gpu_ms_total",
        "x-llm-decode-wall-ms-min": "llm_decode_wall_ms_min",
        "x-llm-decode-wall-ms-max": "llm_decode_wall_ms_max",
        "x-llm-decode-wall-ms-p50": "llm_decode_wall_ms_p50",
        "x-llm-decode-gpu-ms-min": "llm_decode_gpu_ms_min",
        "x-llm-decode-gpu-ms-max": "llm_decode_gpu_ms_max",
        "x-llm-decode-gpu-ms-p50": "llm_decode_gpu_ms_p50",
        "x-llm-decode-calls": "decode_calls",
        "x-llm-decode-cpu-ms": "llm_decode_cpu_ms",
        "x-llm-parse-ms": "llm_parse_ms",
        "x-llm-parse-avg-ms": "llm_parse_ms_avg",
        "x-llm-tokens-per-batch-min": "tokens_per_batch_min",
        "x-llm-tokens-per-batch-max": "tokens_per_batch_max",
        "x-llm-tokens-per-batch-p50": "tokens_per_batch_p50",
        "x-generation-ms": "generation_ms",
        "x-request-inflight": "request_inflight",
        "x-llm-text-chunked": "text_chunked",
        "x-llm-chunks-processed": "chunks_processed",
        "x-llm-sr-applied": "sr_applied",
        "x-llm-time-per-token-ms": "llm_time_per_token_ms",
        "x-llm-time-per-batch-wall-ms": "llm_time_per_batch_wall_ms",
        "x-llm-time-per-batch-gpu-ms": "llm_time_per_batch_gpu_ms",
    }

    bool_keys = {"text_chunked", "sr_applied"}
    int_keys = {
        "llm_token_total",
        "llm_batch_count",
        "decode_calls",
        "chunks_processed",
        "request_inflight",
    }

    if hasattr(headers, "items"):
        for raw_key, raw_val in headers.items():
            lk = str(raw_key).lower()
            target_key = header_map.get(lk)
            if target_key is None:
                continue
            if target_key in bool_keys:
                b = _coerce_bool(raw_val)
                if b is not None:
                    metrics[target_key] = b
                continue

            v = _coerce_number(raw_val)
            if v is None:
                continue
            if target_key in int_keys and float(v).is_integer():
                metrics[target_key] = int(v)
            else:
                metrics[target_key] = int(v) if float(v).is_integer() else float(v)

    if "llm_token_total" in metrics and "generation_ms" in metrics and metrics["llm_token_total"]:
        try:
            metrics["llm_time_per_token_ms"] = float(metrics["generation_ms"]) / float(metrics["llm_token_total"])
        except Exception:
            pass

    if "llm_batch_count" in metrics and "generation_ms" in metrics and metrics["llm_batch_count"]:
        try:
            metrics["llm_time_per_batch_wall_ms"] = float(metrics["generation_ms"]) / float(metrics["llm_batch_count"])
        except Exception:
            pass

    if "llm_batch_count" in metrics and "llm_batch_gpu_ms_total" in metrics and metrics["llm_batch_count"]:
        try:
            metrics["llm_time_per_batch_gpu_ms"] = float(metrics["llm_batch_gpu_ms_total"]) / float(metrics["llm_batch_count"])
        except Exception:
            pass

    return metrics


Output:
Chunk ID: b51ff7
Wall time: 0.0506 seconds
Process exited with code 0
Original token count: 43
Output:
total 12
drwxrwxr-x  3 ubuntu ubuntu 4096 Feb 13 23:58 .
drwxrwxr-x 11 ubuntu ubuntu 4096 Feb 16 23:49 ..
drwxrwxr-x  7 ubuntu ubuntu 4096 Feb 13 23:58 spark_tts_4speaker


python -m veena3modal.local_server --skip-download --port 8000


Output:
Chunk ID: 90e565
Wall time: 0.0508 seconds
Process exited with code 127
Original token count: 12
Output:
/bin/bash: line 1: python: command not found


I can start the local server process, but this environment only has `python3`. I’ll relaunch with that binary and keep it running for benchmark execution.


python3 -m veena3modal.local_server --skip-download --port 8000


Output:
Chunk ID: f73ed6
Wall time: 1.2009 seconds
Process running with session ID 18849
Original token count: 458
Output:
2026-02-17 00:04:35 | INFO     | veena3.local | Auth bypass enabled (local mode). Use --auth to require API keys.
2026-02-17 00:04:35 | INFO     | veena3.local | Resolved model paths:
2026-02-17 00:04:35 | INFO     | veena3.local |   LLM (vLLM):    /home/ubuntu/veenaModal/models/spark_tts_4speaker/LLM
2026-02-17 00:04:35 | INFO     | veena3.local |   BiCodec:       /home/ubuntu/veenaModal/models/spark_tts_4speaker
2026-02-17 00:04:35 | INFO     | veena3.local | ============================================================
2026-02-17 00:04:35 | INFO     | veena3.local | Initializing Veena3 TTS Runtime (local)
2026-02-17 00:04:35 | INFO     | veena3.local |   Model:       /home/ubuntu/veenaModal/models/spark_tts_4speaker
2026-02-17 00:04:35 | INFO     | veena3.local |   LLM path:    /home/ubuntu/veenaModal/models/spark_tts_4speaker/LLM
2026-02-17 00:04:35 | INFO     | veena3.local |   BiCodec:     /home/ubuntu/veenaModal/models/spark_tts_4speaker
2026-02-17 00:04:35 | INFO     | veena3.local |   Device:      cuda
2026-02-17 00:04:35 | INFO     | veena3.local |   GPU Memory:  25% (total)
2026-02-17 00:04:35 | INFO     | veena3.local |   Engines:     1
2026-02-17 00:04:35 | INFO     | veena3.local |   SR:          disabled
2026-02-17 00:04:35 | INFO     | veena3.local | ============================================================
2026-02-17 00:04:35 | INFO     | veena3modal.services.tts_runtime | Initializing TTS runtime...
2026-02-17 00:04:35 | INFO     | veena3modal.services.tts_runtime |   Model path: /home/ubuntu/veenaModal/models/spark_tts_4speaker/LLM
2026-02-17 00:04:35 | INFO     | veena3modal.services.tts_runtime |   BiCodec path: /home/ubuntu/veenaModal/models/spark_tts_4speaker
2026-02-17 00:04:35 | INFO     | veena3modal.services.tts_runtime |   SR enabled: False, path: None


Output:
Chunk ID: 969af7
Wall time: 1.6499 seconds
Process exited with code 1
Original token count: 464
Output:
2026-02-17 00:04:38 | ERROR    | veena3modal.services.tts_runtime | ❌ Failed to initialize TTS runtime: No module named 'vllm'
Traceback (most recent call last):
  File "/home/ubuntu/veenaModal/veena3modal/services/tts_runtime.py", line 146, in initialize_runtime
    from veena3modal.core.model_loader import SparkTTSModel
  File "/home/ubuntu/veenaModal/veena3modal/core/model_loader.py", line 12, in <module>
    from vllm import AsyncLLMEngine, AsyncEngineArgs, SamplingParams
ModuleNotFoundError: No module named 'vllm'
Traceback (most recent call last):
  File "/home/ubuntu/veenaModal/veena3modal/services/tts_runtime.py", line 146, in initialize_runtime
    from veena3modal.core.model_loader import SparkTTSModel
  File "/home/ubuntu/veenaModal/veena3modal/core/model_loader.py", line 12, in <module>
    from vllm import AsyncLLMEngine, AsyncEngineArgs, SamplingParams
ModuleNotFoundError: No module named 'vllm'

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

Traceback (most recent call last):
  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/ubuntu/veenaModal/veena3modal/local_server.py", line 465, in <module>
    main()
  File "/home/ubuntu/veenaModal/veena3modal/local_server.py", line 426, in main
    initialize_local_runtime(
  File "/home/ubuntu/veenaModal/veena3modal/local_server.py", line 224, in initialize_local_runtime
    runtime = initialize_runtime(
  File "/home/ubuntu/veenaModal/veena3modal/services/tts_runtime.py", line 272, in initialize_runtime
    raise RuntimeError(f"TTS runtime initialization failed: {e}") from e
RuntimeError: TTS runtime initialization failed: No module named 'vllm'


python3 - <<'PY'
import pkgutil
print('vllm' in [m.name for m in pkgutil.iter_modules()])
PY


Output:
Chunk ID: 94d83f
Wall time: 0.0504 seconds
Process exited with code 0
Original token count: 2
Output:
False


python3 - <<'PY'
import torch
print(torch.__version__)
print('cuda', torch.version.cuda)
print('cuda available', torch.cuda.is_available())
PY


Output:
Chunk ID: 9e6e39
Wall time: 1.7196 seconds
Process exited with code 0
Original token count: 11
Output:
2.10.0+cu128
cuda 12.8
cuda available True


I confirmed the local model is present, but runtime initialization is blocked by missing `vllm` in this environment. I’ll try installing the missing dependency locally and then run the stress script end-to-end.


python3 -m pip install --upgrade pip && python3 -m pip install 'vllm>=0.4.0'


Output:
Chunk ID: a220c1
Wall time: 1.2005 seconds
Process running with session ID 54198
Original token count: 118
Output:
Defaulting to user installation because normal site-packages is not writeable
Looking in indexes: https://mcache-dsm.massedcompute.com/simple, https://pypi.org/simple
Requirement already satisfied: pip in /usr/lib/python3/dist-packages (22.0.2)
Collecting pip
  Downloading pip-26.0.1-py3-none-any.whl (1.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.8/1.8 MB 12.5 MB/s eta 0:00:00


Output:
Chunk ID: 90d9d4
Wall time: 5.0018 seconds
Process running with session ID 54198
Original token count: 1028
Output:
Installing collected packages: pip
Successfully installed pip-26.0.1
Defaulting to user installation because normal site-packages is not writeable
Looking in indexes: https://mcache-dsm.massedcompute.com/simple, https://pypi.org/simple
Collecting vllm>=0.4.0
  Downloading vllm-0.15.1-cp38-abi3-manylinux_2_31_x86_64.whl.metadata (9.0 kB)
Requirement already satisfied: regex in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (2026.1.15)
Requirement already satisfied: cachetools in /usr/local/lib/python3.10/dist-packages (from vllm>=0.4.0) (5.3.2)
Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from vllm>=0.4.0) (5.9.6)
Requirement already satisfied: sentencepiece in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (0.2.1)
Requirement already satisfied: numpy in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (2.2.6)
Requirement already satisfied: requests>=2.26.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (2.32.5)
Requirement already satisfied: tqdm in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (4.67.3)
Collecting blake3 (from vllm>=0.4.0)
  Downloading blake3-1.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.6 kB)
Collecting py-cpuinfo (from vllm>=0.4.0)
  Downloading py_cpuinfo-9.0.0-py3-none-any.whl.metadata (794 bytes)
Collecting transformers<5,>=4.56.0 (from vllm>=0.4.0)
  Downloading transformers-4.57.6-py3-none-any.whl.metadata (43 kB)
Requirement already satisfied: tokenizers>=0.21.1 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (0.22.2)
Requirement already satisfied: protobuf>=6.33.5 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (6.33.5)
Requirement already satisfied: fastapi>=0.115.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from fastapi[standard]>=0.115.0->vllm>=0.4.0) (0.129.0)
Collecting aiohttp>=3.13.3 (from vllm>=0.4.0)
  Downloading aiohttp-3.13.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (8.1 kB)
Collecting openai>=1.99.1 (from vllm>=0.4.0)
  Downloading openai-2.21.0-py3-none-any.whl.metadata (29 kB)
Requirement already satisfied: pydantic>=2.12.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (2.12.5)
Collecting prometheus_client>=0.18.0 (from vllm>=0.4.0)
  Downloading prometheus_client-0.24.1-py3-none-any.whl.metadata (2.1 kB)
Requirement already satisfied: pillow in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (12.1.1)
Collecting prometheus-fastapi-instrumentator>=7.0.0 (from vllm>=0.4.0)
  Downloading prometheus_fastapi_instrumentator-7.1.0-py3-none-any.whl.metadata (13 kB)
Requirement already satisfied: tiktoken>=0.6.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (0.12.0)
Collecting lm-format-enforcer==0.11.3 (from vllm>=0.4.0)
  Downloading lm_format_enforcer-0.11.3-py3-none-any.whl.metadata (17 kB)
Collecting llguidance<1.4.0,>=1.3.0 (from vllm>=0.4.0)
  Downloading llguidance-1.3.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (10 kB)
Collecting outlines_core==0.2.11 (from vllm>=0.4.0)
  Downloading outlines_core-0.2.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB)
Collecting diskcache==5.6.3 (from vllm>=0.4.0)
  Downloading diskcache-5.6.3-py3-none-any.whl.metadata (20 kB)
Collecting lark==1.2.2 (from vllm>=0.4.0)
  Downloading lark-1.2.2-py3-none-any.whl.metadata (1.8 kB)
Collecting xgrammar==0.1.29 (from vllm>=0.4.0)
  Downloading xgrammar-0.1.29-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.8 kB)
Requirement already satisfied: typing_extensions>=4.10 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (4.15.0)
Requirement already satisfied: filelock>=3.16.1 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (3.24.2)
Collecting partial-json-parser (from vllm>=0.4.0)
  Downloading partial_json_parser-0.2.1.1.post7-py3-none-any.whl.metadata (6.1 kB)


Output:
Chunk ID: a60c0f
Wall time: 5.0013 seconds
Process running with session ID 54198
Original token count: 797
Output:
Collecting pyzmq>=25.0.0 (from vllm>=0.4.0)
  Downloading pyzmq-27.1.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl.metadata (6.0 kB)
Collecting msgspec (from vllm>=0.4.0)
  Downloading msgspec-0.20.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (5.5 kB)
Collecting gguf>=0.17.0 (from vllm>=0.4.0)
  Downloading gguf-0.17.1-py3-none-any.whl.metadata (4.3 kB)
Collecting mistral_common>=1.8.8 (from mistral_common[image]>=1.8.8->vllm>=0.4.0)
  Downloading mistral_common-1.9.1-py3-none-any.whl.metadata (5.3 kB)
Collecting opencv-python-headless>=4.13.0 (from vllm>=0.4.0)
  Downloading opencv_python_headless-4.13.0.92-cp37-abi3-manylinux_2_28_x86_64.whl.metadata (19 kB)
Requirement already satisfied: pyyaml in /usr/lib/python3/dist-packages (from vllm>=0.4.0) (5.4.1)
Requirement already satisfied: einops in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm>=0.4.0) (0.8.2)
Collecting compressed-tensors==0.13.0 (from vllm>=0.4.0)
  Downloading compressed_tensors-0.13.0-py3-none-any.whl.metadata (7.0 kB)
Collecting depyf==0.20.0 (from vllm>=0.4.0)
  Downloading depyf-0.20.0-py3-none-any.whl.metadata (7.3 kB)
Collecting cloudpickle (from vllm>=0.4.0)
  Downloading cloudpickle-3.1.2-py3-none-any.whl.metadata (7.1 kB)
Collecting watchfiles (from vllm>=0.4.0)
  Downloading watchfiles-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.9 kB)
Collecting python-json-logger (from vllm>=0.4.0)
  Downloading python_json_logger-4.0.0-py3-none-any.whl.metadata (4.0 kB)
Collecting ninja (from vllm>=0.4.0)
  Downloading ninja-1.13.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (5.1 kB)
Collecting pybase64 (from vllm>=0.4.0)
  Downloading pybase64-1.4.3-cp310-cp310-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl.metadata (8.7 kB)
Collecting cbor2 (from vllm>=0.4.0)
  Downloading cbor2-5.8.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (5.4 kB)
Collecting ijson (from vllm>=0.4.0)
  Downloading ijson-3.4.0.post0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (23 kB)
Collecting setproctitle (from vllm>=0.4.0)
  Downloading setproctitle-1.3.7-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.metadata (10 kB)
Collecting openai-harmony>=0.0.3 (from vllm>=0.4.0)
  Downloading openai_harmony-0.0.8-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (8.0 kB)
Collecting anthropic>=0.71.0 (from vllm>=0.4.0)
  Downloading anthropic-0.79.0-py3-none-any.whl.metadata (28 kB)
Collecting model-hosting-container-standards<1.0.0,>=0.1.13 (from vllm>=0.4.0)
  Downloading model_hosting_container_standards-0.1.13-py3-none-any.whl.metadata (24 kB)
Collecting mcp (from vllm>=0.4.0)
  Downloading mcp-1.26.0-py3-none-any.whl.metadata (89 kB)
Collecting grpcio (from vllm>=0.4.0)
  Downloading grpcio-1.78.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (3.8 kB)
Collecting grpcio-reflection (from vllm>=0.4.0)
  Downloading grpcio_reflection-1.78.0-py3-none-any.whl.metadata (1.2 kB)


Output:
Chunk ID: 98c20b
Wall time: 5.0006 seconds
Process running with session ID 54198
Original token count: 2216
Output:
Collecting numba==0.61.2 (from vllm>=0.4.0)
  Downloading numba-0.61.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.8 kB)
Collecting ray>=2.48.0 (from ray[cgraph]>=2.48.0->vllm>=0.4.0)
  Downloading ray-2.53.0-cp310-cp310-manylinux2014_x86_64.whl.metadata (22 kB)
Collecting torch==2.9.1 (from vllm>=0.4.0)
  Downloading torch-2.9.1-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (30 kB)
Collecting torchaudio==2.9.1 (from vllm>=0.4.0)
  Downloading torchaudio-2.9.1-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (6.9 kB)
Collecting torchvision==0.24.1 (from vllm>=0.4.0)
  Downloading torchvision-0.24.1-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (5.9 kB)
Collecting flashinfer-python==0.6.1 (from vllm>=0.4.0)
  Downloading flashinfer_python-0.6.1-py3-none-any.whl.metadata (10 kB)
Collecting loguru (from compressed-tensors==0.13.0->vllm>=0.4.0)
  Downloading loguru-0.7.3-py3-none-any.whl.metadata (22 kB)
Collecting astor (from depyf==0.20.0->vllm>=0.4.0)
  Downloading astor-0.8.1-py2.py3-none-any.whl.metadata (4.2 kB)
Collecting dill (from depyf==0.20.0->vllm>=0.4.0)
  Downloading dill-0.4.1-py3-none-any.whl.metadata (10 kB)
Collecting apache-tvm-ffi!=0.1.8,!=0.1.8.post0,<0.2,>=0.1.6 (from flashinfer-python==0.6.1->vllm>=0.4.0)
  Downloading apache_tvm_ffi-0.1.8.post2-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (5.4 kB)
Requirement already satisfied: click in /usr/lib/python3/dist-packages (from flashinfer-python==0.6.1->vllm>=0.4.0) (8.0.3)
Collecting nvidia-cudnn-frontend>=1.13.0 (from flashinfer-python==0.6.1->vllm>=0.4.0)
  Downloading nvidia_cudnn_frontend-1.18.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (4.4 kB)
Collecting nvidia-cutlass-dsl>=4.3.4 (from flashinfer-python==0.6.1->vllm>=0.4.0)
  Downloading nvidia_cutlass_dsl-4.4.0-py3-none-any.whl.metadata (2.7 kB)
Requirement already satisfied: nvidia-ml-py in /usr/local/lib/python3.10/dist-packages (from flashinfer-python==0.6.1->vllm>=0.4.0) (12.535.133)
Collecting packaging>=24.2 (from flashinfer-python==0.6.1->vllm>=0.4.0)
  Downloading packaging-26.0-py3-none-any.whl.metadata (3.3 kB)
Collecting tabulate (from flashinfer-python==0.6.1->vllm>=0.4.0)
  Downloading tabulate-0.9.0-py3-none-any.whl.metadata (34 kB)
Collecting interegular>=0.3.2 (from lm-format-enforcer==0.11.3->vllm>=0.4.0)
  Downloading interegular-0.3.3-py37-none-any.whl.metadata (3.0 kB)
Collecting llvmlite<0.45,>=0.44.0dev0 (from numba==0.61.2->vllm>=0.4.0)
  Downloading llvmlite-0.44.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.8 kB)
Requirement already satisfied: sympy>=1.13.3 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (1.14.0)
Requirement already satisfied: networkx>=2.5.1 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (3.4.2)
Requirement already satisfied: jinja2 in /usr/lib/python3/dist-packages (from torch==2.9.1->vllm>=0.4.0) (3.0.3)
Requirement already satisfied: fsspec>=0.8.5 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (2026.2.0)
Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.8.93 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (12.8.93)
Requirement already satisfied: nvidia-cuda-runtime-cu12==12.8.90 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (12.8.90)
Requirement already satisfied: nvidia-cuda-cupti-cu12==12.8.90 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (12.8.90)
Requirement already satisfied: nvidia-cudnn-cu12==9.10.2.21 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (9.10.2.21)
Requirement already satisfied: nvidia-cublas-cu12==12.8.4.1 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (12.8.4.1)
Requirement already satisfied: nvidia-cufft-cu12==11.3.3.83 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (11.3.3.83)
Requirement already satisfied: nvidia-curand-cu12==10.3.9.90 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (10.3.9.90)
Requirement already satisfied: nvidia-cusolver-cu12==11.7.3.90 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (11.7.3.90)
Requirement already satisfied: nvidia-cusparse-cu12==12.5.8.93 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (12.5.8.93)
Requirement already satisfied: nvidia-cusparselt-cu12==0.7.1 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (0.7.1)
Requirement already satisfied: nvidia-nccl-cu12==2.27.5 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (2.27.5)
Collecting nvidia-nvshmem-cu12==3.3.20 (from torch==2.9.1->vllm>=0.4.0)
  Downloading nvidia_nvshmem_cu12-3.3.20-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.1 kB)
Requirement already satisfied: nvidia-nvtx-cu12==12.8.90 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (12.8.90)
Requirement already satisfied: nvidia-nvjitlink-cu12==12.8.93 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (12.8.93)
Requirement already satisfied: nvidia-cufile-cu12==1.13.1.3 in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.9.1->vllm>=0.4.0) (1.13.1.3)
Collecting triton==3.5.1 (from torch==2.9.1->vllm>=0.4.0)
  Downloading triton-3.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (1.7 kB)
Requirement already satisfied: httpx in /home/ubuntu/.local/lib/python3.10/site-packages (from model-hosting-container-standards<1.0.0,>=0.1.13->vllm>=0.4.0) (0.28.1)
Collecting jmespath (from model-hosting-container-standards<1.0.0,>=0.1.13->vllm>=0.4.0)
  Downloading jmespath-1.1.0-py3-none-any.whl.metadata (7.6 kB)
Requirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from model-hosting-container-standards<1.0.0,>=0.1.13->vllm>=0.4.0) (59.6.0)
Requirement already satisfied: starlette>=0.49.1 in /home/ubuntu/.local/lib/python3.10/site-packages (from model-hosting-container-standards<1.0.0,>=0.1.13->vllm>=0.4.0) (0.52.1)
Collecting supervisor>=4.2.0 (from model-hosting-container-standards<1.0.0,>=0.1.13->vllm>=0.4.0)
  Downloading supervisor-4.3.0-py2.py3-none-any.whl.metadata (87 kB)
Collecting huggingface-hub<1.0,>=0.34.0 (from transformers<5,>=4.56.0->vllm>=0.4.0)
  Downloading huggingface_hub-0.36.2-py3-none-any.whl.metadata (15 kB)
Requirement already satisfied: safetensors>=0.4.3 in /home/ubuntu/.local/lib/python3.10/site-packages (from transformers<5,>=4.56.0->vllm>=0.4.0) (0.7.0)
Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /home/ubuntu/.local/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.34.0->transformers<5,>=4.56.0->vllm>=0.4.0) (1.2.0)
Collecting aiohappyeyeballs>=2.5.0 (from aiohttp>=3.13.3->vllm>=0.4.0)
  Downloading aiohappyeyeballs-2.6.1-py3-none-any.whl.metadata (5.9 kB)
Collecting aiosignal>=1.4.0 (from aiohttp>=3.13.3->vllm>=0.4.0)
  Downloading aiosignal-1.4.0-py3-none-any.whl.metadata (3.7 kB)
Collecting async-timeout<6.0,>=4.0 (from aiohttp>=3.13.3->vllm>=0.4.0)
  Downloading async_timeout-5.0.1-py3-none-any.whl.metadata (5.1 kB)
Requirement already satisfied: attrs>=17.3.0 in /usr/lib/python3/dist-packages (from aiohttp>=3.13.3->vllm>=0.4.0) (21.2.0)
Collecting frozenlist>=1.1.1 (from aiohttp>=3.13.3->vllm>=0.4.0)
  Downloading frozenlist-1.8.0-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.metadata (20 kB)
Collecting multidict<7.0,>=4.5 (from aiohttp>=3.13.3->vllm>=0.4.0)
  Downloading multidict-6.7.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (5.3 kB)
Collecting propcache>=0.2.0 (from aiohttp>=3.13.3->vllm>=0.4.0)
  Downloading propcache-0.4.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (13 kB)
Collecting yarl<2.0,>=1.17.0 (from aiohttp>=3.13.3->vllm>=0.4.0)
  Downloading yarl-1.22.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (75 kB)
Requirement already satisfied: idna>=2.0 in /usr/lib/python3/dist-packages (from yarl<2.0,>=1.17.0->aiohttp>=3.13.3->vllm>=0.4.0) (3.3)
Requirement already satisfied: anyio<5,>=3.5.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from anthropic>=0.71.0->vllm>=0.4.0) (4.12.1)
Requirement already satisfied: distro<2,>=1.7.0 in /usr/lib/python3/dist-packages (from anthropic>=0.71.0->vllm>=0.4.0) (1.7.0)
Collecting docstring-parser<1,>=0.15 (from anthropic>=0.71.0->vllm>=0.4.0)
  Downloading docstring_parser-0.17.0-py3-none-any.whl.metadata (3.5 kB)


Output: write_stdin failed: stdin is closed for this session; rerun exec_command with tty=true to keep stdin open


Output:
Chunk ID: 17c246
Wall time: 0.0514 seconds
Process exited with code 0
Original token count: 2
Output:
False


Output:
Chunk ID: e81b5d
Wall time: 1.2017 seconds
Process running with session ID 23629
Original token count: 164
Output:
Defaulting to user installation because normal site-packages is not writeable
Looking in indexes: https://mcache-dsm.massedcompute.com/simple, https://pypi.org/simple
Collecting vllm==0.4.0
  Downloading vllm-0.4.0-cp310-cp310-manylinux1_x86_64.whl.metadata (8.6 kB)
Collecting cmake>=3.21 (from vllm==0.4.0)
  Downloading cmake-4.2.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (6.5 kB)
Collecting ninja (from vllm==0.4.0)
  Using cached ninja-1.13.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (5.1 kB)
Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from vllm==0.4.0) (5.9.6)


Output:
Chunk ID: 8d65a6
Wall time: 5.0005 seconds
Process running with session ID 23629
Original token count: 3231
Output:
Collecting ray>=2.9 (from vllm==0.4.0)
  Using cached ray-2.53.0-cp310-cp310-manylinux2014_x86_64.whl.metadata (22 kB)
Requirement already satisfied: sentencepiece in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm==0.4.0) (0.2.1)
Requirement already satisfied: numpy in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm==0.4.0) (2.2.6)
Collecting torch==2.1.2 (from vllm==0.4.0)
  Downloading torch-2.1.2-cp310-cp310-manylinux1_x86_64.whl.metadata (25 kB)
Requirement already satisfied: requests in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm==0.4.0) (2.32.5)
Collecting py-cpuinfo (from vllm==0.4.0)
  Using cached py_cpuinfo-9.0.0-py3-none-any.whl.metadata (794 bytes)
Requirement already satisfied: transformers>=4.39.1 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm==0.4.0) (5.1.0)
Collecting xformers==0.0.23.post1 (from vllm==0.4.0)
  Downloading xformers-0.0.23.post1-cp310-cp310-manylinux2014_x86_64.whl.metadata (1.0 kB)
Requirement already satisfied: fastapi in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm==0.4.0) (0.129.0)
Requirement already satisfied: uvicorn[standard] in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm==0.4.0) (0.40.0)
Requirement already satisfied: pydantic>=2.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm==0.4.0) (2.12.5)
Collecting prometheus-client>=0.18.0 (from vllm==0.4.0)
  Using cached prometheus_client-0.24.1-py3-none-any.whl.metadata (2.1 kB)
Collecting pynvml==11.5.0 (from vllm==0.4.0)
  Downloading pynvml-11.5.0-py3-none-any.whl.metadata (7.8 kB)
Requirement already satisfied: triton>=2.1.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from vllm==0.4.0) (3.6.0)
Collecting outlines==0.0.34 (from vllm==0.4.0)
  Downloading outlines-0.0.34-py3-none-any.whl.metadata (13 kB)
Collecting tiktoken==0.6.0 (from vllm==0.4.0)
  Downloading tiktoken-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB)
Collecting interegular (from outlines==0.0.34->vllm==0.4.0)
  Using cached interegular-0.3.3-py37-none-any.whl.metadata (3.0 kB)
Requirement already satisfied: jinja2 in /usr/lib/python3/dist-packages (from outlines==0.0.34->vllm==0.4.0) (3.0.3)
Collecting lark (from outlines==0.0.34->vllm==0.4.0)
  Downloading lark-1.3.1-py3-none-any.whl.metadata (1.8 kB)
Collecting nest-asyncio (from outlines==0.0.34->vllm==0.4.0)
  Downloading nest_asyncio-1.6.0-py3-none-any.whl.metadata (2.8 kB)
Collecting cloudpickle (from outlines==0.0.34->vllm==0.4.0)
  Using cached cloudpickle-3.1.2-py3-none-any.whl.metadata (7.1 kB)
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  Using cached diskcache-5.6.3-py3-none-any.whl.metadata (20 kB)
Requirement already satisfied: scipy in /home/ubuntu/.local/lib/python3.10/site-packages (from outlines==0.0.34->vllm==0.4.0) (1.15.3)
Collecting numba (from outlines==0.0.34->vllm==0.4.0)
  Downloading numba-0.63.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.9 kB)
Collecting joblib (from outlines==0.0.34->vllm==0.4.0)
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  Using cached referencing-0.37.0-py3-none-any.whl.metadata (2.8 kB)
Requirement already satisfied: jsonschema in /usr/lib/python3/dist-packages (from outlines==0.0.34->vllm==0.4.0) (3.2.0)
Requirement already satisfied: regex>=2022.1.18 in /home/ubuntu/.local/lib/python3.10/site-packages (from tiktoken==0.6.0->vllm==0.4.0) (2026.1.15)
Requirement already satisfied: filelock in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.1.2->vllm==0.4.0) (3.24.2)
Requirement already satisfied: typing-extensions in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.1.2->vllm==0.4.0) (4.15.0)
Requirement already satisfied: sympy in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.1.2->vllm==0.4.0) (1.14.0)
Requirement already satisfied: networkx in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.1.2->vllm==0.4.0) (3.4.2)
Requirement already satisfied: fsspec in /home/ubuntu/.local/lib/python3.10/site-packages (from torch==2.1.2->vllm==0.4.0) (2026.2.0)
Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cufft-cu12==11.0.2.54 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-curand-cu12==10.3.2.106 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-nccl-cu12==2.18.1 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-nvtx-cu12==12.1.105 (from torch==2.1.2->vllm==0.4.0)
  Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.7 kB)
Collecting triton>=2.1.0 (from vllm==0.4.0)
  Downloading triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.3 kB)
Requirement already satisfied: nvidia-nvjitlink-cu12 in /home/ubuntu/.local/lib/python3.10/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch==2.1.2->vllm==0.4.0) (12.8.93)
Requirement already satisfied: annotated-types>=0.6.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from pydantic>=2.0->vllm==0.4.0) (0.7.0)
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Collecting msgpack<2.0.0,>=1.0.0 (from ray>=2.9->vllm==0.4.0)
  Using cached msgpack-1.1.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (8.1 kB)
Collecting packaging>=24.2 (from ray>=2.9->vllm==0.4.0)
  Using cached packaging-26.0-py3-none-any.whl.metadata (3.3 kB)
Requirement already satisfied: protobuf>=3.20.3 in /home/ubuntu/.local/lib/python3.10/site-packages (from ray>=2.9->vllm==0.4.0) (6.33.5)
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Collecting llvmlite<0.47,>=0.46.0dev0 (from numba->outlines==0.0.34->vllm==0.4.0)
  Downloading llvmlite-0.46.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (5.0 kB)
Collecting attrs>=22.2.0 (from referencing->outlines==0.0.34->vllm==0.4.0)
  Using cached attrs-25.4.0-py3-none-any.whl.metadata (10 kB)
Collecting rpds-py>=0.7.0 (from referencing->outlines==0.0.34->vllm==0.4.0)
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Collecting httptools>=0.6.3 (from uvicorn[standard]->vllm==0.4.0)
  Using cached httptools-0.7.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.metadata (3.5 kB)
Collecting python-dotenv>=0.13 (from uvicorn[standard]->vllm==0.4.0)
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Collecting uvloop>=0.15.1 (from uvicorn[standard]->vllm==0.4.0)
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Collecting watchfiles>=0.13 (from uvicorn[standard]->vllm==0.4.0)
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Collecting websockets>=10.4 (from uvicorn[standard]->vllm==0.4.0)
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Downloading vllm-0.4.0-cp310-cp310-manylinux1_x86_64.whl (72.3 MB)


Output:
Chunk ID: 3a3f4c
Wall time: 5.0006 seconds
Process running with session ID 23629
Original token count: 205
Output:
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Downloading outlines-0.0.34-py3-none-any.whl (76 kB)
Downloading pynvml-11.5.0-py3-none-any.whl (53 kB)
Downloading tiktoken-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB)
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Downloading torch-2.1.2-cp310-cp310-manylinux1_x86_64.whl (670.2 MB)
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Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)


Output:
Chunk ID: 39f0c9
Wall time: 5.0006 seconds
Process running with session ID 23629
Original token count: 525
Output:
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Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)
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Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)
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Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)
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Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)
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Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
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Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
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Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
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Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
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Output:
Chunk ID: 0ba03d
Wall time: 5.0012 seconds
Process running with session ID 23629
Original token count: 759
Output:
Downloading nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl (209.8 MB)
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Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
Downloading triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89.2 MB)
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Downloading xformers-0.0.23.post1-cp310-cp310-manylinux2014_x86_64.whl (213.0 MB)
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Downloading cmake-4.2.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (28.9 MB)
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Using cached prometheus_client-0.24.1-py3-none-any.whl (64 kB)
Using cached ray-2.53.0-cp310-cp310-manylinux2014_x86_64.whl (72.2 MB)
Using cached msgpack-1.1.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (406 kB)
Using cached packaging-26.0-py3-none-any.whl (74 kB)
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Using cached diskcache-5.6.3-py3-none-any.whl (45 kB)
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Downloading joblib-1.5.3-py3-none-any.whl (309 kB)
Downloading lark-1.3.1-py3-none-any.whl (113 kB)
Downloading nest_asyncio-1.6.0-py3-none-any.whl (5.2 kB)
Using cached ninja-1.13.0-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (180 kB)
Downloading numba-0.63.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.7 MB)
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Downloading llvmlite-0.46.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (56.3 MB)
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Using cached py_cpuinfo-9.0.0-py3-none-any.whl (22 kB)
Using cached referencing-0.37.0-py3-none-any.whl (26 kB)
Using cached attrs-25.4.0-py3-none-any.whl (67 kB)
Using cached rpds_py-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (390 kB)
Using cached httptools-0.7.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (440 kB)
Using cached python_dotenv-1.2.1-py3-none-any.whl (21 kB)
Using cached uvloop-0.22.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (3.7 MB)
Using cached watchfiles-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (455 kB)
Using cached websockets-16.0-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (183 kB)


Output:
Chunk ID: a8c0cc
Wall time: 5.0005 seconds
Process running with session ID 23629
Original token count: 440
Output:
WARNING: Error parsing dependencies of nvidia-nvshmem-cu12: [Errno 2] No such file or directory: '/home/ubuntu/.local/lib/python3.10/site-packages/nvidia_nvshmem_cu12-3.4.5.dist-info/METADATA'
WARNING: Error parsing dependencies of triton: [Errno 2] No such file or directory: '/home/ubuntu/.local/lib/python3.10/site-packages/triton-3.6.0.dist-info/METADATA'
Installing collected packages: py-cpuinfo, websockets, uvloop, triton, rpds-py, python-dotenv, pynvml, prometheus-client, packaging, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparse-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, ninja, nest-asyncio, msgpack, llvmlite, lark, joblib, interegular, httptools, diskcache, cmake, cloudpickle, attrs, tiktoken, referencing, ray, nvidia-cusolver-cu12, nvidia-cudnn-cu12, numba, watchfiles, torch, xformers, outlines, vllm
    WARNING: No metadata found in /home/ubuntu/.local/lib/python3.10/site-packages
  Attempting uninstall: triton
    Found existing installation: triton 3.6.0
    Can't uninstall 'triton'. No files were found to uninstall.
  Attempting uninstall: nvidia-nvtx-cu12
    Found existing installation: nvidia-nvtx-cu12 12.8.90
    Uninstalling nvidia-nvtx-cu12-12.8.90:
      Successfully uninstalled nvidia-nvtx-cu12-12.8.90
  Attempting uninstall: nvidia-nccl-cu12
    Found existing installation: nvidia-nccl-cu12 2.27.5
    Uninstalling nvidia-nccl-cu12-2.27.5:
      Successfully uninstalled nvidia-nccl-cu12-2.27.5
  Attempting uninstall: nvidia-cusparse-cu12
    Found existing installation: nvidia-cusparse-cu12 12.5.8.93
    Uninstalling nvidia-cusparse-cu12-12.5.8.93:
      Successfully uninstalled nvidia-cusparse-cu12-12.5.8.93


Output:
Chunk ID: 328eae
Wall time: 5.0008 seconds
Process running with session ID 23629
Original token count: 326
Output:
  Attempting uninstall: nvidia-curand-cu12
    Found existing installation: nvidia-curand-cu12 10.3.9.90
    Uninstalling nvidia-curand-cu12-10.3.9.90:
      Successfully uninstalled nvidia-curand-cu12-10.3.9.90
  Attempting uninstall: nvidia-cufft-cu12
    Found existing installation: nvidia-cufft-cu12 11.3.3.83
    Uninstalling nvidia-cufft-cu12-11.3.3.83:
      Successfully uninstalled nvidia-cufft-cu12-11.3.3.83
  Attempting uninstall: nvidia-cuda-runtime-cu12
    Found existing installation: nvidia-cuda-runtime-cu12 12.8.90
    Uninstalling nvidia-cuda-runtime-cu12-12.8.90:
      Successfully uninstalled nvidia-cuda-runtime-cu12-12.8.90
  Attempting uninstall: nvidia-cuda-nvrtc-cu12
    Found existing installation: nvidia-cuda-nvrtc-cu12 12.8.93
    Uninstalling nvidia-cuda-nvrtc-cu12-12.8.93:
      Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.8.93
  Attempting uninstall: nvidia-cuda-cupti-cu12
    Found existing installation: nvidia-cuda-cupti-cu12 12.8.90
    Uninstalling nvidia-cuda-cupti-cu12-12.8.90:
      Successfully uninstalled nvidia-cuda-cupti-cu12-12.8.90
  Attempting uninstall: nvidia-cublas-cu12
    Found existing installation: nvidia-cublas-cu12 12.8.4.1
    Uninstalling nvidia-cublas-cu12-12.8.4.1:
      Successfully uninstalled nvidia-cublas-cu12-12.8.4.1


Output:
Chunk ID: 6feaf6
Wall time: 5.0018 seconds
Process running with session ID 23629
Original token count: 41
Output:
  Attempting uninstall: tiktoken
    Found existing installation: tiktoken 0.12.0
    Uninstalling tiktoken-0.12.0:
      Successfully uninstalled tiktoken-0.12.0


Output:
Chunk ID: 318249
Wall time: 5.0004 seconds
Process running with session ID 23629
Original token count: 107
Output:
  Attempting uninstall: nvidia-cusolver-cu12
    Found existing installation: nvidia-cusolver-cu12 11.7.3.90
    Uninstalling nvidia-cusolver-cu12-11.7.3.90:
      Successfully uninstalled nvidia-cusolver-cu12-11.7.3.90
  Attempting uninstall: nvidia-cudnn-cu12
    Found existing installation: nvidia-cudnn-cu12 9.10.2.21
    Uninstalling nvidia-cudnn-cu12-9.10.2.21:
      Successfully uninstalled nvidia-cudnn-cu12-9.10.2.21


Output:
Chunk ID: 4820c5
Wall time: 5.0008 seconds
Process running with session ID 23629
Original token count: 0
Output:


Output:
Chunk ID: 9a4a7a
Wall time: 5.0007 seconds
Process running with session ID 23629
Original token count: 56
Output:
  Attempting uninstall: torch
    WARNING: No metadata found in /home/ubuntu/.local/lib/python3.10/site-packages
    Found existing installation: torch 2.10.0
    Can't uninstall 'torch'. No files were found to uninstall.


Output:
Chunk ID: 6cc710
Wall time: 5.0003 seconds
Process running with session ID 23629
Original token count: 0
Output:


Output:
Chunk ID: 937a02
Wall time: 5.0006 seconds
Process running with session ID 23629
Original token count: 0
Output:


Output:
Chunk ID: b6591b
Wall time: 0.3870 seconds
Process exited with code 0
Original token count: 270
Output:

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchaudio 2.10.0 requires torch==2.10.0, but you have torch 2.1.2 which is incompatible.
Successfully installed attrs-25.4.0 cloudpickle-3.1.2 cmake-4.2.1 diskcache-5.6.3 httptools-0.7.1 interegular-0.3.3 joblib-1.5.3 lark-1.2.2 llvmlite-0.44.0 msgpack-1.1.2 nest-asyncio-1.6.0 ninja-1.13.0 numba-0.61.2 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.18.1 nvidia-nvtx-cu12-12.1.105 outlines-0.0.34 packaging-26.0 prometheus-client-0.24.1 py-cpuinfo-9.0.0 pynvml-11.5.0 python-dotenv-1.2.1 ray-2.53.0 referencing-0.37.0 rpds-py-0.30.0 tiktoken-0.6.0 torch-2.1.2 triton-2.1.0 uvloop-0.22.1 vllm-0.15.1 watchfiles-1.1.1 websockets-16.0 xformers-0.0.23.post1


python3 - <<'PY'
import importlib
import pkg_resources
import torch
print('torch', torch.__version__, 'cuda', torch.version.cuda)
try:
    import vllm
    print('vllm', vllm.__version__)
except Exception as e:
    print('vllm import failed', e)
try:
    import torchaudio
    print('torchaudio', torchaudio.__version__)
except Exception as e:
    print('torchaudio err', e)
PY


Output:
Chunk ID: 6809b2
Wall time: 2.0031 seconds
Process exited with code 0
Original token count: 484
Output:

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.6 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "<stdin>", line 3, in <module>
  File "/home/ubuntu/.local/lib/python3.10/site-packages/torch/__init__.py", line 1382, in <module>
    from .functional import *  # noqa: F403
  File "/home/ubuntu/.local/lib/python3.10/site-packages/torch/functional.py", line 7, in <module>
    import torch.nn.functional as F
  File "/home/ubuntu/.local/lib/python3.10/site-packages/torch/nn/__init__.py", line 1, in <module>
    from .modules import *  # noqa: F403
  File "/home/ubuntu/.local/lib/python3.10/site-packages/torch/nn/modules/__init__.py", line 35, in <module>
    from .transformer import TransformerEncoder, TransformerDecoder, \
  File "/home/ubuntu/.local/lib/python3.10/site-packages/torch/nn/modules/transformer.py", line 20, in <module>
    device: torch.device = torch.device(torch._C._get_default_device()),  # torch.device('cpu'),
/home/ubuntu/.local/lib/python3.10/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.)
  device: torch.device = torch.device(torch._C._get_default_device()),  # torch.device('cpu'),
torch 2.1.2+cu121 cuda 12.1
vllm import failed cannot import name 'infer_schema' from 'torch.library' (/home/ubuntu/.local/lib/python3.10/site-packages/torch/library.py)
torchaudio err /home/ubuntu/.local/lib/python3.10/site-packages/torchaudio/lib/libtorchaudio.so: undefined symbol: _ZNK3c105Error4whatEv


python3 -m pip show torch | sed -n '1,20p'


Output:
Chunk ID: cd21ac
Wall time: 0.7264 seconds
Process exited with code 0
Original token count: 181
Output:
Name: torch
Version: 2.1.2
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org/
Author: PyTorch Team
Author-email: packages@pytorch.org
License: BSD-3
Location: /home/ubuntu/.local/lib/python3.10/site-packages
Requires: filelock, fsspec, jinja2, networkx, nvidia-cublas-cu12, nvidia-cuda-cupti-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-runtime-cu12, nvidia-cudnn-cu12, nvidia-cufft-cu12, nvidia-curand-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, nvidia-nccl-cu12, nvidia-nvtx-cu12, sympy, triton, typing-extensions
Required-by: accelerate, compressed-tensors, flashinfer-python, outlines, soprano-tts, torchaudio, torchvision, vllm, xformers, xgrammar


python3 -m pip uninstall -y torch torchaudio torchvision vllm xformers numba triton tiktoken ray outlines interegular lark --yes


Output:
Chunk ID: 7f240f
Wall time: 10.0006 seconds
Process running with session ID 2467
Original token count: 243
Output:
Found existing installation: torch 2.1.2
Uninstalling torch-2.1.2:
  Successfully uninstalled torch-2.1.2
Found existing installation: torchaudio 2.9.1
Uninstalling torchaudio-2.9.1:
  Successfully uninstalled torchaudio-2.9.1
Found existing installation: torchvision 0.24.1
Uninstalling torchvision-0.24.1:
  Successfully uninstalled torchvision-0.24.1
Found existing installation: vllm 0.15.1
Uninstalling vllm-0.15.1:
  Successfully uninstalled vllm-0.15.1
Found existing installation: xformers 0.0.23.post1
Uninstalling xformers-0.0.23.post1:
  Successfully uninstalled xformers-0.0.23.post1
Found existing installation: numba 0.61.2
Uninstalling numba-0.61.2:
  Successfully uninstalled numba-0.61.2
Found existing installation: triton 2.1.0
Uninstalling triton-2.1.0:
  Successfully uninstalled triton-2.1.0
Found existing installation: tiktoken 0.6.0
Uninstalling tiktoken-0.6.0:
  Successfully uninstalled tiktoken-0.6.0
Found existing installation: ray 2.53.0


Output:
Chunk ID: 7edc70
Wall time: 0.0506 seconds
Process exited with code 0
Original token count: 102
Output:
Uninstalling ray-2.53.0:
  Successfully uninstalled ray-2.53.0
Found existing installation: outlines 0.0.34
Uninstalling outlines-0.0.34:
  Successfully uninstalled outlines-0.0.34
Found existing installation: interegular 0.3.3
Uninstalling interegular-0.3.3:
  Successfully uninstalled interegular-0.3.3
Found existing installation: lark 1.2.2
Uninstalling lark-1.2.2:
  Successfully uninstalled lark-1.2.2


Output: write_stdin failed: Unknown process id 2467


I attempted vllm installation to make local benchmarks runnable; it pulled an incompatible stack and broke the local torch install, so I immediately rolled back the user-site installs for those packages to restore the prior working baseline. I’ll quickly re-check that restore and then run the benchmark prerequisites check again.


python3 - <<'PY'
import torch
print('torch', torch.__version__, 'cuda', torch.version.cuda)
import importlib.util
print('vllm', bool(importlib.util.find_spec('vllm')))
import pkgutil
print('vllm installed', 'vllm' in [m.name for m in pkgutil.iter_modules()])
PY


Output:
Chunk ID: 542bc5
Wall time: 0.0518 seconds
Process exited with code 1
Original token count: 34
Output:
Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
AttributeError: module 'torch' has no attribute '__version__'


python3 - <<'PY'
import torch, sys
import pathlib
print(torch.__file__)
print('dir has __version__', hasattr(torch, '__version__'))
print('module attrs', [a for a in ['__version__','version','cuda'] if hasattr(torch,a)])
print('attrs sample', getattr(torch, 'version', None))
PY


Output:
Chunk ID: c90116
Wall time: 0.0514 seconds
Process exited with code 0
Original token count: 17
Output:
None
dir has __version__ False
module attrs []
attrs sample None


python3 - <<'PY'
import sys
for p in sys.path[:10]:
    print(p)
PY


Output:
Chunk ID: 454c5a
Wall time: 0.0512 seconds
Process exited with code 0
Original token count: 70
Output:

/usr/lib/python310.zip
/usr/lib/python3.10
/usr/lib/python3.10/lib-dynload
/home/ubuntu/.local/lib/python3.10/site-packages
/home/ubuntu/.local/lib/python3.10/site-packages/nvidia_cutlass_dsl/python_packages
/usr/local/lib/python3.10/dist-packages
/usr/lib/python3/dist-packages


python3 - <<'PY'
import pkgutil
mods=[m for m in pkgutil.iter_modules(['/home/ubuntu/.local/lib/python3.10/site-packages']) if m.name=='torch']
print(mods)
PY


Output:
Chunk ID: 19107b
Wall time: 0.0512 seconds
Process exited with code 0
Original token count: 1
Output:
[]


Summary: auto


python3 - <<'PY'
import importlib.util
spec = importlib.util.find_spec('torch')
print(spec)
PY


Output:
Chunk ID: 30d3b2
Wall time: 0.0511 seconds
Process exited with code 0
Original token count: 36
Output:
ModuleSpec(name='torch', loader=None, submodule_search_locations=_NamespacePath(['/home/ubuntu/.local/lib/python3.10/site-packages/torch']))


ls -la /home/ubuntu/.local/lib/python3.10/site-packages | rg '^d|^-' | head -n 40


Output:
Chunk ID: 1d67c7
Wall time: 0.0512 seconds
Process exited with code 0
Original token count: 692
Output:
drwxrwxr-x 354 ubuntu ubuntu   61440 Feb 17 00:06 .
drwxrwxr-x   3 ubuntu ubuntu    4096 Dec 10 08:31 ..
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 21:35 PIL
drwxrwxr-x   2 ubuntu ubuntu    4096 Feb 16 21:35 Unidecode-1.4.0.dist-info
drwxrwxr-x   2 ubuntu ubuntu    4096 Feb 17 00:06 __pycache__
-rwxrwxr-x   1 ubuntu ubuntu 5170080 Feb 16 21:35 _brotli.cpython-310-x86_64-linux-gnu.so
-rwxrwxr-x   1 ubuntu ubuntu  770688 Feb 17 00:05 _cbor2.cpython-310-x86_64-linux-gnu.so
-rwxrwxr-x   1 ubuntu ubuntu  339896 Feb 16 12:15 _cffi_backend.cpython-310-x86_64-linux-gnu.so
-rw-rw-r--   1 ubuntu ubuntu   13837 Feb 16 21:35 _sounddevice.py
-rw-rw-r--   1 ubuntu ubuntu    5783 Feb 16 12:15 _soundfile.py
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 12:15 _soundfile_data
drwxrwxr-x   6 ubuntu ubuntu    4096 Feb 16 21:35 accelerate
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 21:35 accelerate-1.12.0.dist-info
drwxrwxr-x   5 ubuntu ubuntu    4096 Feb 16 21:35 aiofiles
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 21:35 aiofiles-24.1.0.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 aiohappyeyeballs
drwxrwxr-x   2 ubuntu ubuntu    4096 Feb 17 00:05 aiohappyeyeballs-2.6.1.dist-info
drwxrwxr-x   5 ubuntu ubuntu    4096 Feb 17 00:06 aiohttp
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:06 aiohttp-3.13.3.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 aiosignal
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 aiosignal-1.4.0.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 12:08 annotated_doc
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 12:08 annotated_doc-0.0.4.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 21:35 annotated_types
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 21:35 annotated_types-0.7.0.dist-info
drwxrwxr-x   8 ubuntu ubuntu    4096 Feb 17 00:06 anthropic
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:06 anthropic-0.79.0.dist-info
drwxrwxr-x   7 ubuntu ubuntu    4096 Feb 16 12:08 anyio
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 12:08 anyio-4.12.1.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 apache_tvm_ffi-0.1.8.post2.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 astor
drwxrwxr-x   2 ubuntu ubuntu    4096 Feb 17 00:05 astor-0.8.1.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 async_timeout
drwxrwxr-x   2 ubuntu ubuntu    4096 Feb 17 00:05 async_timeout-5.0.1.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 attr
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 attrs
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 attrs-25.4.0.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 blake3
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 17 00:05 blake3-1.0.8.dist-info
drwxrwxr-x   3 ubuntu ubuntu    4096 Feb 16 21:35 brotli-1.2.0.dist-info


ls -ld /home/ubuntu/.local/lib/python3.10/site-packages/torch* 2>/dev/null | sed -n '1,20p' && ls -la /home/ubuntu/.local/lib/python3.10/site-packages/torch 2>/dev/null


Output:
Chunk ID: bbf3fc
Wall time: 0.0518 seconds
Process exited with code 0
Original token count: 731
Output:
drwxrwxr-x 42 ubuntu ubuntu 4096 Feb 17 00:06 /home/ubuntu/.local/lib/python3.10/site-packages/torch
drwxrwxr-x  3 ubuntu ubuntu 4096 Feb 17 00:06 /home/ubuntu/.local/lib/python3.10/site-packages/torch-2.9.1.dist-info
drwxrwxr-x  5 ubuntu ubuntu 4096 Feb 17 00:06 /home/ubuntu/.local/lib/python3.10/site-packages/torchgen
total 240
drwxrwxr-x  42 ubuntu ubuntu  4096 Feb 17 00:06 .
drwxrwxr-x 354 ubuntu ubuntu 61440 Feb 17 00:06 ..
drwxrwxr-x   4 ubuntu ubuntu  4096 Feb 17 00:06 _C
drwxrwxr-x   2 ubuntu ubuntu  4096 Feb 17 00:05 _C_flatbuffer
drwxrwxr-x   2 ubuntu ubuntu  4096 Feb 17 00:06 __pycache__
drwxrwxr-x   6 ubuntu ubuntu  4096 Feb 17 00:06 _dynamo
-rw-rw-r--   1 ubuntu ubuntu    42 Feb 17 00:05 _environment.py
drwxrwxr-x   6 ubuntu ubuntu  4096 Feb 17 00:06 _export
drwxrwxr-x   5 ubuntu ubuntu  4096 Feb 17 00:06 _functorch
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 _higher_order_ops
drwxrwxr-x  12 ubuntu ubuntu  4096 Feb 17 00:06 _inductor
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 _library
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 _logging
-rw-rw-r--   1 ubuntu ubuntu   900 Feb 17 00:05 _size_docs.py
-rw-rw-r--   1 ubuntu ubuntu   435 Feb 17 00:05 _streambase.py
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 _strobelight
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 _subclasses
-rw-rw-r--   1 ubuntu ubuntu     0 Feb 17 00:05 _thread_safe_fork.py
drwxrwxr-x   4 ubuntu ubuntu  4096 Feb 17 00:06 _vendor
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 accelerator
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 amp
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 ao
drwxrwxr-x   7 ubuntu ubuntu  4096 Feb 17 00:06 backends
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 compiler
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 cpu
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:05 csrc
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 cuda
drwxrwxr-x  12 ubuntu ubuntu  4096 Feb 17 00:06 distributed
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 distributions
drwxrwxr-x   6 ubuntu ubuntu  4096 Feb 17 00:06 export
drwxrwxr-x   5 ubuntu ubuntu  4096 Feb 17 00:06 fx
drwxrwxr-x  15 ubuntu ubuntu  4096 Feb 17 00:06 include
drwxrwxr-x   2 ubuntu ubuntu  4096 Feb 17 00:06 jit
drwxrwxr-x   4 ubuntu ubuntu  4096 Feb 17 00:06 lib
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 mtia
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 nested
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 nn
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 numa
drwxrwxr-x   5 ubuntu ubuntu  4096 Feb 17 00:06 onnx
drwxrwxr-x   4 ubuntu ubuntu  4096 Feb 17 00:06 optim
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 quantization
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 share
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 sparse
drwxrwxr-x   4 ubuntu ubuntu  4096 Feb 17 00:06 testing
drwxrwxr-x   6 ubuntu ubuntu  4096 Feb 17 00:06 utils
drwxrwxr-x   3 ubuntu ubuntu  4096 Feb 17 00:06 xpu


python3 - <<'PY'
import importlib.util, torch
print('torch file', torch.__file__)
print('dir torch contains version?', hasattr(torch,'__version__'))
print('attributes sample', torch.__dict__.get('__version__'))
print('env file', getattr(torch,'_utils',None))
PY


Output:
Chunk ID: f4dcda
Wall time: 0.0512 seconds
Process exited with code 0
Original token count: 22
Output:
torch file None
dir torch contains version? False
attributes sample None
env file None


Output:
Chunk ID: 250305
Wall time: 0.0504 seconds
Process exited with code 2
Original token count: 29
Output:
ls: cannot access '/home/ubuntu/.local/lib/python3.10/site-packages/torch/__init__.py': No such file or directory


rg --files /usr/lib/python3/dist-packages /usr/local/lib/python3.10/dist-packages /usr/lib/python3.10 | rg '/torch/__init__.py$' | head


Output:
Chunk ID: 31692a
Wall time: 0.0511 seconds
Process exited with code 0
Original token count: 0
Output:


ls -d /usr/local/lib/python3.10/dist-packages/torch* 2>/dev/null


Output:
Chunk ID: 169494
Wall time: 0.0514 seconds
Process exited with code 2
Original token count: 0
Output:


python3 -m pip index versions torch | head -n 30


Output:
Chunk ID: 1efd7e
Wall time: 0.7204 seconds
Process exited with code 0
Original token count: 66
Output:
torch (2.10.0)
Available versions: 2.10.0, 2.9.1, 2.9.0, 2.8.0, 2.7.1, 2.7.0, 2.6.0, 2.5.1, 2.5.0, 2.4.1, 2.4.0, 2.3.1, 2.3.0, 2.2.2, 2.2.1, 2.2.0, 2.1.2, 2.1.1, 2.1.0, 2.0.1, 2.0.0, 1.13.1, 1.13.0, 1.12.1, 1.12.0, 1.11.0
  INSTALLED: 2.9.1
  LATEST:    2.10.0


Output:
Chunk ID: 529ef7
Wall time: 0.6429 seconds
Process exited with code 0
Original token count: 194
Output:
Name: torch
Version: 2.9.1
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org
Author:
Author-email: PyTorch Team <packages@pytorch.org>
License: BSD-3-Clause
Location: /home/ubuntu/.local/lib/python3.10/site-packages
Requires: filelock, fsspec, jinja2, networkx, nvidia-cublas-cu12, nvidia-cuda-cupti-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-runtime-cu12, nvidia-cudnn-cu12, nvidia-cufft-cu12, nvidia-cufile-cu12, nvidia-curand-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, nvidia-cusparselt-cu12, nvidia-nccl-cu12, nvidia-nvjitlink-cu12, nvidia-nvshmem-cu12, nvidia-nvtx-cu12, sympy, triton, typing-extensions
Required-by: accelerate, compressed-tensors, flashinfer-python, soprano-tts, vllm, xgrammar


I need to recover the Python env now because `torch` is currently left as a broken namespace package after the rollback attempt. I’ll restore a clean torch install (no dependency churn) so benchmark attempts can be validated deterministically.


python3 -m pip install --user --force-reinstall torch==2.10.0+cu128


Output:
Chunk ID: ab55ea
Wall time: 0.8034 seconds
Process exited with code 1
Original token count: 110
Output:
Looking in indexes: https://mcache-dsm.massedcompute.com/simple, https://pypi.org/simple
ERROR: Could not find a version that satisfies the requirement torch==2.10.0+cu128 (from versions: 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.7.0, 2.7.1, 2.8.0, 2.9.0, 2.9.1, 2.10.0)
ERROR: No matching distribution found for torch==2.10.0+cu128


python3 -m pip install --user --force-reinstall torch==2.10.0


Output:
Chunk ID: 860496
Wall time: 1.2007 seconds
Process running with session ID 19981
Original token count: 136
Output:
Looking in indexes: https://mcache-dsm.massedcompute.com/simple, https://pypi.org/simple
Collecting torch==2.10.0
  Downloading torch-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (31 kB)
Collecting filelock (from torch==2.10.0)
  Downloading filelock-3.24.2-py3-none-any.whl.metadata (2.0 kB)
Collecting typing-extensions>=4.10.0 (from torch==2.10.0)
  Downloading typing_extensions-4.15.0-py3-none-any.whl.metadata (3.3 kB)
Collecting sympy>=1.13.3 (from torch==2.10.0)
  Downloading sympy-1.14.0-py3-none-any.whl.metadata (12 kB)


Output:
Chunk ID: 72cc9f
Wall time: 5.0010 seconds
Process running with session ID 19981
Original token count: 1392
Output:
Collecting networkx>=2.5.1 (from torch==2.10.0)
  Downloading networkx-3.4.2-py3-none-any.whl.metadata (6.3 kB)
Collecting jinja2 (from torch==2.10.0)
  Using cached jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
Collecting fsspec>=0.8.5 (from torch==2.10.0)
  Downloading fsspec-2026.2.0-py3-none-any.whl.metadata (10 kB)
Collecting cuda-bindings==12.9.4 (from torch==2.10.0)
  Downloading cuda_bindings-12.9.4-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (2.6 kB)
Collecting nvidia-cuda-nvrtc-cu12==12.8.93 (from torch==2.10.0)
  Downloading nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cuda-runtime-cu12==12.8.90 (from torch==2.10.0)
  Downloading nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cuda-cupti-cu12==12.8.90 (from torch==2.10.0)
  Downloading nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cudnn-cu12==9.10.2.21 (from torch==2.10.0)
  Downloading nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-cublas-cu12==12.8.4.1 (from torch==2.10.0)
  Downloading nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cufft-cu12==11.3.3.83 (from torch==2.10.0)
  Downloading nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-curand-cu12==10.3.9.90 (from torch==2.10.0)
  Downloading nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cusolver-cu12==11.7.3.90 (from torch==2.10.0)
  Downloading nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-cusparse-cu12==12.5.8.93 (from torch==2.10.0)
  Downloading nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-cusparselt-cu12==0.7.1 (from torch==2.10.0)
  Downloading nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl.metadata (7.0 kB)
Collecting nvidia-nccl-cu12==2.27.5 (from torch==2.10.0)
  Downloading nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.0 kB)
Collecting nvidia-nvshmem-cu12==3.4.5 (from torch==2.10.0)
  Downloading nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.1 kB)
Collecting nvidia-nvtx-cu12==12.8.90 (from torch==2.10.0)
  Downloading nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-nvjitlink-cu12==12.8.93 (from torch==2.10.0)
  Downloading nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cufile-cu12==1.13.1.3 (from torch==2.10.0)
  Downloading nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting triton==3.6.0 (from torch==2.10.0)
  Downloading triton-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (1.7 kB)
Collecting cuda-pathfinder~=1.1 (from cuda-bindings==12.9.4->torch==2.10.0)
  Downloading cuda_pathfinder-1.3.4-py3-none-any.whl.metadata (1.9 kB)
Collecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch==2.10.0)
  Downloading mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch==2.10.0)
  Downloading markupsafe-3.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (2.7 kB)
Downloading torch-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl (915.6 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 915.6/915.6 MB 97.0 MB/s  0:00:05
Downloading cuda_bindings-12.9.4-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (12.1 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.1/12.1 MB 145.7 MB/s  0:00:00
Downloading nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl (594.3 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 594.3/594.3 MB 118.3 MB/s  0:00:03
Downloading nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (10.2 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.2/10.2 MB 130.2 MB/s  0:00:00
Downloading nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (88.0 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.0/88.0 MB 167.2 MB/s  0:00:00
Downloading nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (954 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 954.8/954.8 kB 54.9 MB/s  0:00:00
Downloading nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl (706.8 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 706.8/706.8 MB 108.1 MB/s  0:00:04
Downloading nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (193.1 MB)


Output:
Chunk ID: 4e4825
Wall time: 5.0008 seconds
Process running with session ID 19981
Original token count: 1197
Output:
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 193.1/193.1 MB 170.1 MB/s  0:00:01
Downloading nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.2 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 68.0 MB/s  0:00:00
Downloading nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl (63.6 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.6/63.6 MB 157.7 MB/s  0:00:00
Downloading nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl (267.5 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 267.5/267.5 MB 165.3 MB/s  0:00:01
Downloading nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (288.2 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 288.2/288.2 MB 162.3 MB/s  0:00:01
Downloading nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl (287.2 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 287.2/287.2 MB 161.6 MB/s  0:00:01
Downloading nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (322.3 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 322.3/322.3 MB 162.8 MB/s  0:00:01
Downloading nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (39.3 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 39.3/39.3 MB 145.1 MB/s  0:00:00
Downloading nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (139.1 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 139.1/139.1 MB 172.4 MB/s  0:00:00
Downloading nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB)
Downloading triton-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (188.1 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 188.1/188.1 MB 162.5 MB/s  0:00:01
Downloading cuda_pathfinder-1.3.4-py3-none-any.whl (30 kB)
Downloading fsspec-2026.2.0-py3-none-any.whl (202 kB)
Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 83.7 MB/s  0:00:00
Downloading sympy-1.14.0-py3-none-any.whl (6.3 MB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 141.8 MB/s  0:00:00
Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 536.2/536.2 kB 61.6 MB/s  0:00:00
Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
Downloading filelock-3.24.2-py3-none-any.whl (24 kB)
Using cached jinja2-3.1.6-py3-none-any.whl (134 kB)
Downloading markupsafe-3.0.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (20 kB)
Installing collected packages: nvidia-cusparselt-cu12, mpmath, typing-extensions, triton, sympy, nvidia-nvtx-cu12, nvidia-nvshmem-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, cuda-pathfinder, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, cuda-bindings, nvidia-cusolver-cu12, torch
  Attempting uninstall: nvidia-cusparselt-cu12
    Found existing installation: nvidia-cusparselt-cu12 0.7.1
    Uninstalling nvidia-cusparselt-cu12-0.7.1:
      Successfully uninstalled nvidia-cusparselt-cu12-0.7.1
  Attempting uninstall: mpmath
    Found existing installation: mpmath 1.3.0
    Uninstalling mpmath-1.3.0:
      Successfully uninstalled mpmath-1.3.0
  Attempting uninstall: typing-extensions
    Found existing installation: typing_extensions 4.15.0
    Uninstalling typing_extensions-4.15.0:
      Successfully uninstalled typing_extensions-4.15.0
  Attempting uninstall: triton
    Found existing installation: triton 3.5.1
    Uninstalling triton-3.5.1:
      Successfully uninstalled triton-3.5.1


Output:
Chunk ID: 7c9ab7
Wall time: 5.0007 seconds
Process running with session ID 19981
Original token count: 38
Output:
  Attempting uninstall: sympy
    Found existing installation: sympy 1.14.0
    Uninstalling sympy-1.14.0:
      Successfully uninstalled sympy-1.14.0


Output:
Chunk ID: ea9c5a
Wall time: 5.0014 seconds
Process running with session ID 19981
Original token count: 535
Output:
  Attempting uninstall: nvidia-nvtx-cu12
    Found existing installation: nvidia-nvtx-cu12 12.1.105
    Uninstalling nvidia-nvtx-cu12-12.1.105:
      Successfully uninstalled nvidia-nvtx-cu12-12.1.105
  Attempting uninstall: nvidia-nvshmem-cu12
    Found existing installation: nvidia-nvshmem-cu12 3.3.20
    Uninstalling nvidia-nvshmem-cu12-3.3.20:
      Successfully uninstalled nvidia-nvshmem-cu12-3.3.20
  Attempting uninstall: nvidia-nvjitlink-cu12
    Found existing installation: nvidia-nvjitlink-cu12 12.8.93
    Uninstalling nvidia-nvjitlink-cu12-12.8.93:
      Successfully uninstalled nvidia-nvjitlink-cu12-12.8.93
  Attempting uninstall: nvidia-nccl-cu12
    Found existing installation: nvidia-nccl-cu12 2.18.1
    Uninstalling nvidia-nccl-cu12-2.18.1:
      Successfully uninstalled nvidia-nccl-cu12-2.18.1
  Attempting uninstall: nvidia-curand-cu12
    Found existing installation: nvidia-curand-cu12 10.3.2.106
    Uninstalling nvidia-curand-cu12-10.3.2.106:
      Successfully uninstalled nvidia-curand-cu12-10.3.2.106
  Attempting uninstall: nvidia-cufile-cu12
    Found existing installation: nvidia-cufile-cu12 1.13.1.3
    Uninstalling nvidia-cufile-cu12-1.13.1.3:
      Successfully uninstalled nvidia-cufile-cu12-1.13.1.3
  Attempting uninstall: nvidia-cuda-runtime-cu12
    Found existing installation: nvidia-cuda-runtime-cu12 12.1.105
    Uninstalling nvidia-cuda-runtime-cu12-12.1.105:
      Successfully uninstalled nvidia-cuda-runtime-cu12-12.1.105
  Attempting uninstall: nvidia-cuda-nvrtc-cu12
    Found existing installation: nvidia-cuda-nvrtc-cu12 12.1.105
    Uninstalling nvidia-cuda-nvrtc-cu12-12.1.105:
      Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.1.105
  Attempting uninstall: nvidia-cuda-cupti-cu12
    Found existing installation: nvidia-cuda-cupti-cu12 12.1.105
    Uninstalling nvidia-cuda-cupti-cu12-12.1.105:
      Successfully uninstalled nvidia-cuda-cupti-cu12-12.1.105
  Attempting uninstall: nvidia-cublas-cu12
    Found existing installation: nvidia-cublas-cu12 12.1.3.1
    Uninstalling nvidia-cublas-cu12-12.1.3.1:
      Successfully uninstalled nvidia-cublas-cu12-12.1.3.1


Output:
Chunk ID: 3d3c82
Wall time: 5.0006 seconds
Process running with session ID 19981
Original token count: 327
Output:
  Attempting uninstall: networkx
    Found existing installation: networkx 3.4.2
    Uninstalling networkx-3.4.2:
      Successfully uninstalled networkx-3.4.2
  Attempting uninstall: fsspec
    Found existing installation: fsspec 2026.2.0
    Uninstalling fsspec-2026.2.0:
      Successfully uninstalled fsspec-2026.2.0
  Attempting uninstall: filelock
    Found existing installation: filelock 3.24.2
    Uninstalling filelock-3.24.2:
      Successfully uninstalled filelock-3.24.2
  Attempting uninstall: cuda-pathfinder
    Found existing installation: cuda-pathfinder 1.3.4
    Uninstalling cuda-pathfinder-1.3.4:
      Successfully uninstalled cuda-pathfinder-1.3.4
  Attempting uninstall: nvidia-cusparse-cu12
    Found existing installation: nvidia-cusparse-cu12 12.1.0.106
    Uninstalling nvidia-cusparse-cu12-12.1.0.106:
      Successfully uninstalled nvidia-cusparse-cu12-12.1.0.106
  Attempting uninstall: nvidia-cufft-cu12
    Found existing installation: nvidia-cufft-cu12 11.0.2.54
    Uninstalling nvidia-cufft-cu12-11.0.2.54:
      Successfully uninstalled nvidia-cufft-cu12-11.0.2.54
  Attempting uninstall: nvidia-cudnn-cu12
    Found existing installation: nvidia-cudnn-cu12 8.9.2.26
    Uninstalling nvidia-cudnn-cu12-8.9.2.26:
      Successfully uninstalled nvidia-cudnn-cu12-8.9.2.26


Output:
Chunk ID: 8d43fe
Wall time: 5.0003 seconds
Process running with session ID 19981
Original token count: 0
Output:


Output:
Chunk ID: 609373
Wall time: 5.0005 seconds
Process running with session ID 19981
Original token count: 177
Output:
  Attempting uninstall: jinja2
    Found existing installation: Jinja2 3.1.6
    Uninstalling Jinja2-3.1.6:
      Successfully uninstalled Jinja2-3.1.6
  Attempting uninstall: cuda-bindings
    Found existing installation: cuda-bindings 13.1.1
    Uninstalling cuda-bindings-13.1.1:
      Successfully uninstalled cuda-bindings-13.1.1
  Attempting uninstall: nvidia-cusolver-cu12
    Found existing installation: nvidia-cusolver-cu12 11.4.5.107
    Uninstalling nvidia-cusolver-cu12-11.4.5.107:
      Successfully uninstalled nvidia-cusolver-cu12-11.4.5.107
  Attempting uninstall: torch
    Found existing installation: torch 2.9.1
    Uninstalling torch-2.9.1:
      Successfully uninstalled torch-2.9.1


Output:
Chunk ID: 4b65cf
Wall time: 5.0009 seconds
Process running with session ID 19981
Original token count: 0
Output:


Output:
Chunk ID: c1d995
Wall time: 5.0019 seconds
Process running with session ID 19981
Original token count: 0
Output:


Output:
Chunk ID: ac0672
Wall time: 1.8347 seconds
Process exited with code 0
Original token count: 334
Output:

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
mistral-common 1.9.1 requires tiktoken>=0.7.0, which is not installed.
vllm 0.4.0 requires outlines==0.0.34, which is not installed.
vllm 0.4.0 requires ray>=2.9, which is not installed.
vllm 0.4.0 requires tiktoken==0.6.0, which is not installed.
vllm 0.4.0 requires xformers==0.0.23.post1, which is not installed.
cuda-python 13.1.1 requires cuda-bindings~=13.1.1, but you have cuda-bindings 12.9.4 which is incompatible.
vllm 0.4.0 requires torch==2.1.2, but you have torch 2.10.0 which is incompatible.
Successfully installed MarkupSafe-3.0.3 cuda-bindings-12.9.4 cuda-pathfinder-1.3.4 filelock-3.24.2 fsspec-2026.2.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.8.4.1 nvidia-cuda-cupti-cu12-12.8.90 nvidia-cuda-nvrtc-cu12-12.8.93 nvidia-cuda-runtime-cu12-12.8.90 nvidia-cudnn-cu12-9.10.2.21 nvidia-cufft-cu12-11.3.3.83 nvidia-cufile-cu12-1.13.1.3 nvidia-curand-cu12-10.3.9.90 nvidia-cusolver-cu12-11.7.3.90 nvidia-cusparse-cu12-12.5.8.93 nvidia-cusparselt-cu12-0.7.1 nvidia-nccl-cu12-2.27.5 nvidia-nvjitlink-cu12-12.8.93 nvidia-nvshmem-cu12-3.4.5 nvidia-nvtx-cu12-12.8.90 sympy-1.14.0 torch-2.10.0 triton-3.6.0 typing-extensions-4.15.0


python3 - <<'PY'
import pkgutil
mods=[m.name for m in pkgutil.iter_modules(['/home/ubuntu/.local/lib/python3.10/site-packages']) if m.name=='vllm']
print('vllm module', mods)
import torch
print('torch loaded version', getattr(torch,'__version__',None), 'file', torch.__file__)
PY


Output:
Chunk ID: b642b0
Wall time: 1.7954 seconds
Process exited with code 0
Original token count: 31
Output:
vllm module []
torch loaded version 2.10.0+cu128 file /home/ubuntu/.local/lib/python3.10/site-packages/torch/__init__.py


python3 -m pip show vllm | sed -n '1,20p'


Output:
Chunk ID: 2987cc
Wall time: 0.5876 seconds
Process exited with code 0
Original token count: 120
Output:
Name: vllm
Version: 0.4.0
Summary: A high-throughput and memory-efficient inference and serving engine for LLMs
Home-page: https://github.com/vllm-project/vllm
Author: vLLM Team
Author-email:
License: Apache 2.0
Location: /home/ubuntu/.local/lib/python3.10/site-packages
Requires: cmake, fastapi, ninja, numpy, outlines, prometheus-client, psutil, py-cpuinfo, pydantic, pynvml, ray, requests, sentencepiece, tiktoken, torch, transformers, triton, uvicorn, xformers
Required-by:


python3 - <<'PY'
import importlib.util
print(importlib.util.find_spec('vllm'))
PY


Output:
Chunk ID: d2e3d7
Wall time: 0.0507 seconds
Process exited with code 0
Original token count: 35
Output:
ModuleSpec(name='vllm', loader=None, submodule_search_locations=_NamespacePath(['/home/ubuntu/.local/lib/python3.10/site-packages/vllm']))


ls -l /home/ubuntu/.local/lib/python3.10/site-packages/vllm | head


Output:
Chunk ID: c7552e
Wall time: 0.0537 seconds
Process exited with code 0
Original token count: 158
Output:
total 479436
-rwxrwxr-x 1 ubuntu ubuntu  93451856 Feb 17 00:06 _C.cpython-310-x86_64-linux-gnu.so
drwxrwxr-x 2 ubuntu ubuntu      4096 Feb 17 00:06 __pycache__
-rwxrwxr-x 1 ubuntu ubuntu  16052184 Feb 17 00:06 _moe_C.cpython-310-x86_64-linux-gnu.so
-rwxrwxr-x 1 ubuntu ubuntu 381333152 Feb 17 00:06 _punica_C.cpython-310-x86_64-linux-gnu.so
drwxrwxr-x 5 ubuntu ubuntu      4096 Feb 17 00:06 attention
-rw-rw-r-- 1 ubuntu ubuntu      2374 Feb 17 00:06 block.py
-rw-rw-r-- 1 ubuntu ubuntu     34932 Feb 17 00:06 config.py
drwxrwxr-x 3 ubuntu ubuntu      4096 Feb 17 00:06 core
drwxrwxr-x 3 ubuntu ubuntu      4096 Feb 17 00:06 engine


python3 - <<'PY'
import vllm
print(vllm.__file__ if hasattr(vllm,'__file__') else None)
print(type(vllm))
print('attrs sample', [a for a in dir(vllm)[:20]])
PY


Output:
Chunk ID: e58d12
Wall time: 0.0523 seconds
Process exited with code 0
Original token count: 31
Output:
None
<class 'module'>
attrs sample ['__doc__', '__file__', '__loader__', '__name__', '__package__', '__path__', '__spec__']


python3 - <<'PY'
import vllm
from importlib import import_module
print('has engine?', import_module('vllm.engine'))
print('has config?', import_module('vllm.config'))
PY


Output:
Chunk ID: ed0716
Wall time: 3.0544 seconds
Process exited with code 1
Original token count: 236
Output:
has engine? <module 'vllm.engine' (<_frozen_importlib_external._NamespaceLoader object at 0x7762444d7730>)>
Traceback (most recent call last):
  File "<stdin>", line 4, in <module>
  File "/usr/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 "/home/ubuntu/.local/lib/python3.10/site-packages/vllm/config.py", line 11, in <module>
    from vllm.logger import init_logger
ModuleNotFoundError: No module named 'vllm.logger'


Summary: auto


ls -la /home/ubuntu/.local/lib/python3.10/site-packages/vllm | head -n 200 | sed -n '1,120p'