Uploaded sanitized BC250/ROCm Repository.
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#!/bin/bash
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cd /home/fabian/ComfyUI
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source venv/bin/activate
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export HSA_OVERRIDE_GFX_VERSION=10.1.0
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export HSA_ENABLE_SDMA=0
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export HIP_VISIBLE_DEVICES=0
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export PYTORCH_HIP_ALLOC_CONF=garbage_collection_threshold:0.8
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export AMD_LOG_LEVEL=3
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echo "Quick GPU test starting..."
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timeout 60 python3 -u -c "
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import sys, time, os
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print('Importing torch...', flush=True)
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t0 = time.time()
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import torch
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print(f'torch imported in {time.time()-t0:.1f}s', flush=True)
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print(f'CUDA: {torch.cuda.is_available()}', flush=True)
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print(f'Device: {torch.cuda.get_device_name(0)}', flush=True)
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# Just try allocating on GPU (no transfer)
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print('Allocating on GPU...', flush=True)
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t0 = time.time()
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x = torch.zeros(100, device='cuda')
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print(f'zeros in {time.time()-t0:.1f}s', flush=True)
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# Now try a computation
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print('GPU computation...', flush=True)
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t0 = time.time()
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y = x + 1
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torch.cuda.synchronize()
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print(f'add in {time.time()-t0:.1f}s, result={y[:5].tolist()}', flush=True)
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# Now try the actual CPU->GPU transfer
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print('CPU->GPU transfer...', flush=True)
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cpu_t = torch.randn(10)
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t0 = time.time()
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gpu_t = cpu_t.cuda()
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torch.cuda.synchronize()
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print(f'transfer in {time.time()-t0:.1f}s, result={gpu_t[:3].tolist()}', flush=True)
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print('DONE', flush=True)
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os._exit(0)
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" 2>&1
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echo "Exit code: $?"
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