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feat(app): restore "Using torch device" message on startup
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@@ -31,6 +31,12 @@ def run_app() -> None:
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if app_config.pytorch_cuda_alloc_conf:
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configure_torch_cuda_allocator(app_config.pytorch_cuda_alloc_conf, logger)
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# This import must happen after configure_torch_cuda_allocator() is called, because the module imports torch.
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from invokeai.backend.util.devices import TorchDevice
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torch_device_name = TorchDevice.get_torch_device_name()
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logger.info(f"Using torch device: {torch_device_name}")
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# Import from startup_utils here to avoid importing torch before configure_torch_cuda_allocator() is called.
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from invokeai.app.util.startup_utils import (
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apply_monkeypatches,
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