mirror of
https://github.com/vladmandic/automatic
synced 2026-09-19 17:24:32 +02:00
some rewrites
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+13
-13
@@ -485,19 +485,17 @@ def install_rocm_zluda():
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else:
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log.info(f'ROCm: agents={[gpu.name for gpu in amd_gpus]}')
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if args.device_id is None:
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device = amd_gpus[0]
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index = 0
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for idx, gpu in enumerate(amd_gpus):
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if gpu.arch == rocm.MicroArchitecture.RDNA:
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device = gpu
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os.environ.setdefault('HIP_VISIBLE_DEVICES', str(idx))
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# if os.environ.get('TENSORFLOW_PACKAGE') == 'tensorflow-rocm': # do not use tensorflow-rocm for navi 3x
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# os.environ['TENSORFLOW_PACKAGE'] = 'tensorflow==2.13.0'
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if not device.is_apu:
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# although apu was found, there can be a dedicated card. do not break loop.
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# if no dedicated card was found, apu will be used.
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break
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else:
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log.debug(f'ROCm: HSA_OVERRIDE_GFX_VERSION auto config skipped for {gpu.name}')
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index = idx
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# if gpu.name.startswith('gfx11') and os.environ.get('TENSORFLOW_PACKAGE') == 'tensorflow-rocm': # do not use tensorflow-rocm for navi 3x
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# os.environ['TENSORFLOW_PACKAGE'] = 'tensorflow==2.13.0'
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if not gpu.is_apu:
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# although apu was found, there can be a dedicated card. do not break loop.
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# if no dedicated card was found, apu will be used.
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break
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os.environ.setdefault('HIP_VISIBLE_DEVICES', str(index))
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device = amd_gpus[index]
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else:
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device_id = int(args.device_id)
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if device_id < len(amd_gpus):
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@@ -571,7 +569,9 @@ def install_rocm_zluda():
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log.debug(f'ROCm hipBLASLt: arch={device.name} available={device.blaslt_supported}')
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rocm.set_blaslt_enabled(device.blaslt_supported)
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if device is not None:
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if device is None:
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log.debug('ROCm: HSA_OVERRIDE_GFX_VERSION auto config skipped')
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else:
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os.environ.setdefault('HSA_OVERRIDE_GFX_VERSION', device.get_gfx_version())
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return torch_command
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