chore: auto-commit (95 archivos)

- cmd/fn/doctor.go
- cmd/fn/main.go
- cpp/apps/primitives_gallery/playground/tables/CMakeLists.txt
- cpp/apps/primitives_gallery/playground/tables/data_table.cpp
- cpp/apps/primitives_gallery/playground/tables/data_table_logic.cpp
- cpp/apps/primitives_gallery/playground/tables/data_table_logic.h
- cpp/apps/primitives_gallery/playground/tables/self_test.cpp
- cpp/apps/primitives_gallery/playground/tables/tql.cpp
- cpp/apps/primitives_gallery/playground/tables/viz.cpp
- cpp/apps/primitives_gallery/playground/tables/viz.h
- ...

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

python/functions/ml/gpu_info.py

@@ -0,0 +1,73 @@
+"""Consulta informacion de GPUs NVIDIA via nvidia-smi."""
+
+from __future__ import annotations
+
+import csv
+import subprocess
+
+
+def gpu_info() -> list[dict]:
+    """Devuelve informacion de todas las GPUs NVIDIA detectadas por nvidia-smi.
+
+    Consulta nvidia-smi via subprocess. Si nvidia-smi no esta disponible o
+    falla, devuelve lista vacia sin lanzar excepcion.
+
+    Returns:
+        Lista de dicts, uno por GPU, con claves:
+            index (int): indice de la GPU (0, 1, ...).
+            name (str): nombre del modelo (ej. "NVIDIA GeForce RTX 4090").
+            vram_total_mb (int): memoria total en MB.
+            vram_free_mb (int): memoria libre en MB.
+            driver_version (str): version del driver NVIDIA.
+            cuda_version (str): version maxima de CUDA soportada por el driver.
+        Lista vacia si nvidia-smi no esta disponible.
+    """
+    try:
+        result = subprocess.run(
+            [
+                "nvidia-smi",
+                "--query-gpu=index,name,memory.total,memory.free,driver_version,compute_cap",
+                "--format=csv,noheader,nounits",
+            ],
+            capture_output=True,
+            text=True,
+            timeout=10,
+        )
+    except FileNotFoundError:
+        return []
+    except subprocess.TimeoutExpired:
+        return []
+    except OSError:
+        return []
+
+    if result.returncode != 0:
+        return []
+
+    gpus = []
+    reader = csv.reader(result.stdout.strip().splitlines())
+    for row in reader:
+        if len(row) < 5:
+            continue
+        try:
+            index = int(row[0].strip())
+            name = row[1].strip()
+            vram_total_mb = int(row[2].strip())
+            vram_free_mb = int(row[3].strip())
+            driver_version = row[4].strip()
+            # compute_cap (ej. "8.9") como aproximacion de cuda_version soportada
+            cuda_version = row[5].strip() if len(row) > 5 else ""
+        except (ValueError, IndexError):
+            continue
+
+        gpus.append(
+            {
+                "index": index,
+                "name": name,
+                "vram_total_mb": vram_total_mb,
+                "vram_free_mb": vram_free_mb,
+                "driver_version": driver_version,
+                "cuda_version": cuda_version,
+            }
+        )
+
+    return gpus