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# ----------------------------------------------------------------------------
# - Open3D: www.open3d.org -
# ----------------------------------------------------------------------------
# Copyright (c) 2018-2024 www.open3d.org
# SPDX-License-Identifier: MIT
# ----------------------------------------------------------------------------
def torch_available():
try:
import torch
import torch.utils.dlpack
except ImportError:
return False
return True
def list_devices(enable_cuda=True, enable_sycl=False):
"""
Returns a list of devices that are available for Open3D to use:
- Device("CPU:0")
- Device("CUDA:0") if built with CUDA support and a CUDA device is available.
- Device("SYCL:0") if built with SYCL support and a SYCL GPU device is available.
"""
import open3d as o3d
devices = [o3d.core.Device("CPU:0")]
if enable_cuda and o3d.core.cuda.device_count() > 0:
devices.append(o3d.core.Device("CUDA:0"))
# Ignore fallback SYCL CPU device
if enable_sycl and len(o3d.core.sycl.get_available_devices()) > 1:
devices.append(o3d.core.Device("SYCL:0"))
return devices
def list_devices_with_torch():
"""
Similar to list_devices(), but take PyTorch available devices into account.
The returned devices are compatible on both PyTorch and Open3D.
If PyTorch is not available at all, empty list will be returned, thus the
test is effectively skipped.
"""
if torch_available():
import open3d as o3d
import torch
if (o3d.core.cuda.device_count() > 0 and torch.cuda.is_available() and
torch.cuda.device_count() > 0):
return [o3d.core.Device("CPU:0"), o3d.core.Device("CUDA:0")]
else:
return [o3d.core.Device("CPU:0")]
else:
return []
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