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# ----------------------------------------------------------------------------
# - Open3D: www.open3d.org -
# ----------------------------------------------------------------------------
# The MIT License (MIT)
#
# Copyright (c) 2018-2021 www.open3d.org
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
# ----------------------------------------------------------------------------
import numpy as np
import open3d as o3d
import open3d.core as o3c
def list_tensor_sizes():
return [
100000000,
]
def list_non_bool_dtypes():
return [
o3c.int8,
o3c.uint8,
o3c.int16,
o3c.uint16,
o3c.int32,
o3c.uint32,
o3c.int64,
o3c.uint64,
o3c.float32,
o3c.float64,
]
def list_float_dtypes():
return [
o3c.float32,
o3c.float64,
]
def to_numpy_dtype(dtype: o3c.Dtype):
conversions = {
o3c.bool8: np.bool8, # np.bool deprecated
o3c.bool: np.bool8, # o3c.bool is an alias for o3c.bool8
o3c.int8: np.int8,
o3c.uint8: np.uint8,
o3c.int16: np.int16,
o3c.uint16: np.uint16,
o3c.int32: np.int32,
o3c.uint32: np.uint32,
o3c.int64: np.int64,
o3c.uint64: np.uint64,
o3c.float32: np.float32,
o3c.float64: np.float64,
}
return conversions[dtype]
def list_devices():
devices = [o3c.Device("CPU:0")]
if o3c.cuda.is_available():
devices.append(o3c.Device("CUDA:0"))
return devices
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