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Improve default launch device for train (#3523)
* feat: improve launch device * add licence header * crash instead of trying to set the available option * set cuda as default --------- Co-authored-by: Noé Pion <noe.pion@onfido.com> Co-authored-by: J.Y. <132313008+jb-ye@users.noreply.github.com>
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@@ -62,6 +62,7 @@ from nerfstudio.configs.config_utils import convert_markup_to_ansi
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from nerfstudio.configs.method_configs import AnnotatedBaseConfigUnion
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from nerfstudio.engine.trainer import TrainerConfig
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from nerfstudio.utils import comms, profiler
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from nerfstudio.utils.available_devices import get_available_devices
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from nerfstudio.utils.rich_utils import CONSOLE
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DEFAULT_TIMEOUT = timedelta(minutes=30)
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@@ -226,6 +227,15 @@ def launch(
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def main(config: TrainerConfig) -> None:
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"""Main function."""
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# Check if the specified device type is available
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available_device_types = get_available_devices()
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if config.machine.device_type not in available_device_types:
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raise RuntimeError(
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f"Specified device type '{config.machine.device_type}' is not available. "
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f"Available device types: {available_device_types}. "
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"Please specify a valid device type using the CLI option: --machine.device_type [cuda|mps|cpu]"
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)
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if config.data:
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CONSOLE.log("Using --data alias for --data.pipeline.datamanager.data")
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config.pipeline.datamanager.data = config.data
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@@ -0,0 +1,32 @@
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# Copyright 2022 the Regents of the University of California, Nerfstudio Team and contributors. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import List, Literal
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import torch
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def get_available_devices() -> List[Literal["cpu", "cuda", "mps"]]:
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"""Determine the available devices on the machine
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Returns:
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list: List of available device types
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"""
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available_devices: List[Literal["cpu", "cuda", "mps"]] = []
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if torch.cuda.is_available():
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available_devices.append("cuda")
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elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
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available_devices.append("mps")
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available_devices.append("cpu")
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return available_devices
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