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had to move cudnn disablement up much higher
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@ -430,6 +430,14 @@ try:
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import triton
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import triton.language as tl
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print(" :: Triton core imported successfully")
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# This needs to be up here, so it can disable cudnn before anything can even think about using it
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torch.backends.cudnn.enabled = os.environ.get("TORCH_BACKENDS_CUDNN_ENABLED", "1").strip().lower() not in {"0", "off", "false", "disable", "disabled", "no"}
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if torch.backends.cudnn.enabled:
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print(" :: Enabled cuDNN")
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else:
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print(" :: Disabled cuDNN")
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torch.backends.cudnn.benchmark = False
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@triton.jit
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def _zluda_kernel_test(x_ptr, y_ptr, n_elements, BLOCK_SIZE: tl.constexpr):
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@ -676,12 +684,6 @@ def do_hijack():
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print(" :: Configuring PyTorch backends...")
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torch.backends.cuda.enable_mem_efficient_sdp(False)
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torch.backends.cuda.enable_mem_efficient_sdp = do_nothing
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torch.backends.cudnn.enabled = os.environ.get("TORCH_BACKENDS_CUDNN_ENABLED", "1").strip().lower() not in {"0", "off", "false", "disable", "disabled", "no"}
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if torch.backends.cudnn.enabled:
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print(" :: Enabled cuDNN")
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else:
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print(" :: Disabled cuDNN")
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torch.backends.cudnn.benchmark = False
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if hasattr(torch.backends.cuda, "enable_flash_sdp"):
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torch.backends.cuda.enable_flash_sdp(True)
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print(" :: Disabled CUDA flash attention")
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