fix: total_mem → total_memory (corex torch API)
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@@ -26,7 +26,7 @@ print(f" torch: {torch.__version__}")
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print(f" CUDA available: {torch.cuda.is_available()}")
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print(f" CUDA available: {torch.cuda.is_available()}")
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if torch.cuda.is_available():
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if torch.cuda.is_available():
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print(f" GPU: {torch.cuda.get_device_name(0)}")
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print(f" GPU: {torch.cuda.get_device_name(0)}")
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print(f" Memory: {torch.cuda.get_device_properties(0).total_mem / 1024**3:.1f} GB")
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print(f" Memory: {torch.cuda.get_device_properties(0).total_memory / 1024**3:.1f} GB")
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else:
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else:
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print(" ERROR: No CUDA device!")
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print(" ERROR: No CUDA device!")
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sys.exit(1)
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sys.exit(1)
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@@ -322,4 +322,4 @@ print("=" * 70)
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print(f" CUDA kernel topk_softmax: {'✓ READY' if moe_ext else '✗ NOT AVAILABLE'}")
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print(f" CUDA kernel topk_softmax: {'✓ READY' if moe_ext else '✗ NOT AVAILABLE'}")
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print(f" GDN chunked (no NaN): {'✓' if not any_nan else '✗ HAS NaN'}")
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print(f" GDN chunked (no NaN): {'✓' if not any_nan else '✗ HAS NaN'}")
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print(f" GPU memory used: {torch.cuda.memory_allocated()/1024**2:.0f} MB")
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print(f" GPU memory used: {torch.cuda.memory_allocated()/1024**2:.0f} MB")
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print(f" GPU memory free: {(torch.cuda.get_device_properties(0).total_mem - torch.cuda.memory_allocated())/1024**3:.1f} GB")
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print(f" GPU memory free: {(torch.cuda.get_device_properties(0).total_memory - torch.cuda.memory_allocated())/1024**3:.1f} GB")
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