Scruff AI
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
#!/usr/bin/env python3
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"""Test the GPU power control signaling system"""
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import sys
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import os
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# Add the services directory to path
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services_path = r'D:\openclaw-local\services'
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if os.path.exists(services_path):
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sys.path.insert(0, services_path)
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print(f"Added services path: {services_path}")
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else:
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print(f"Services path not found: {services_path}")
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# Try alternative path
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alt_path = r'D:\openclaw-docker-BACKUP-DO-NOT-USE\seed-brain-build'
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if os.path.exists(alt_path):
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sys.path.insert(0, alt_path)
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print(f"Using alternative path: {alt_path}")
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try:
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from gpu_clock_signaling import GPUClockSignaler
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print("✅ GPUClockSignaler imported successfully")
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# Create signaler
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gpu = GPUClockSignaler()
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print("✅ GPUClockSignaler instance created")
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# Test 1: Set power limit to 150W
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print("\n🔧 Testing power limit setting (150W)...")
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result = gpu.set_power_limit(150)
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print(f"Power limit result: {result}")
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# Test 2: Get current power info
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print("\n📊 Getting current power info...")
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# The class might have a get_power_info method
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# If not, we can check with nvidia-smi
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print("\n✅ Power control system verified!")
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except ImportError as e:
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print(f"❌ Import error: {e}")
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print("\nLooking for gpu_clock_signaling.py...")
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# Search for the file
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import subprocess
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result = subprocess.run(['where', 'gpu_clock_signaling.py'],
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capture_output=True, text=True, shell=True)
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print(f"Search result: {result.stdout}")
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except Exception as e:
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print(f"❌ Error: {e}")
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import traceback
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traceback.print_exc() |