Improve default launch device for train

nerfstudio/scripts/train.py

@@ -62,6 +62,7 @@
 from nerfstudio.configs.method_configs import AnnotatedBaseConfigUnion
 from nerfstudio.engine.trainer import TrainerConfig
 from nerfstudio.utils import comms, profiler
+from nerfstudio.utils.available_devices import get_available_devices
 from nerfstudio.utils.rich_utils import CONSOLE
 
 DEFAULT_TIMEOUT = timedelta(minutes=30)
@@ -226,6 +227,15 @@ def launch(
 def main(config: TrainerConfig) -> None:
     """Main function."""
 
+    # Check if the specified device type is available
+    available_device_types = get_available_devices()
+    if config.machine.device_type not in available_device_types:
+        raise RuntimeError(
+            f"Specified device type '{config.machine.device_type}' is not available. "
+            f"Available device types: {available_device_types}. "
+            "Please specify a valid device type using the CLI option: --machine.device_type [cuda|mps|cpu]"
+        )
+
     if config.data:
         CONSOLE.log("Using --data alias for --data.pipeline.datamanager.data")
         config.pipeline.datamanager.data = config.data

nerfstudio/utils/available_devices.py

@@ -0,0 +1,32 @@
+# Copyright 2022 the Regents of the University of California, Nerfstudio Team and contributors. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from typing import List, Literal
+
+import torch
+
+
+def get_available_devices() -> List[Literal["cpu", "cuda", "mps"]]:
+    """Determine the available devices on the machine
+
+    Returns:
+        list: List of available device types
+    """
+    available_devices: List[Literal["cpu", "cuda", "mps"]] = []
+    if torch.cuda.is_available():
+        available_devices.append("cuda")
+    elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
+        available_devices.append("mps")
+    available_devices.append("cpu")
+    return available_devices