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Only disable cudnn on newer AMD GPUs. (#10437)
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@@ -330,15 +330,21 @@ except:
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SUPPORT_FP8_OPS = args.supports_fp8_compute
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AMD_RDNA2_AND_OLDER_ARCH = ["gfx1030", "gfx1031", "gfx1010", "gfx1011", "gfx1012", "gfx906", "gfx900", "gfx803"]
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try:
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if is_amd():
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torch.backends.cudnn.enabled = False # Seems to improve things a lot on AMD
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logging.info("Set: torch.backends.cudnn.enabled = False for better AMD performance.")
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arch = torch.cuda.get_device_properties(get_torch_device()).gcnArchName
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if not (any((a in arch) for a in AMD_RDNA2_AND_OLDER_ARCH)):
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torch.backends.cudnn.enabled = False # Seems to improve things a lot on AMD
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logging.info("Set: torch.backends.cudnn.enabled = False for better AMD performance.")
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try:
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rocm_version = tuple(map(int, str(torch.version.hip).split(".")[:2]))
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except:
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rocm_version = (6, -1)
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arch = torch.cuda.get_device_properties(get_torch_device()).gcnArchName
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logging.info("AMD arch: {}".format(arch))
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logging.info("ROCm version: {}".format(rocm_version))
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if args.use_split_cross_attention == False and args.use_quad_cross_attention == False:
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@@ -1331,7 +1337,7 @@ def should_use_bf16(device=None, model_params=0, prioritize_performance=True, ma
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if is_amd():
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arch = torch.cuda.get_device_properties(device).gcnArchName
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if any((a in arch) for a in ["gfx1030", "gfx1031", "gfx1010", "gfx1011", "gfx1012", "gfx906", "gfx900", "gfx803"]): # RDNA2 and older don't support bf16
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if any((a in arch) for a in AMD_RDNA2_AND_OLDER_ARCH): # RDNA2 and older don't support bf16
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if manual_cast:
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return True
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return False
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