Source code for nvalchemiops.types
# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
import torch
import warp as wp
[docs]
def get_wp_dtype(dtype: torch.dtype):
"""Get the warp dtype for a given torch dtype."""
if dtype == torch.float32:
return wp.float32
elif dtype == torch.float64:
return wp.float64
elif dtype == torch.float16:
return wp.float16
else:
raise ValueError(f"Unsupported dtype: {dtype}")
[docs]
def get_wp_vec_dtype(dtype: torch.dtype):
"""Get the warp vec dtype for a given torch dtype."""
if dtype == torch.float32:
return wp.vec3f
elif dtype == torch.float64:
return wp.vec3d
elif dtype == torch.float16:
return wp.vec3h
else:
raise ValueError(f"Unsupported dtype: {dtype}")
[docs]
def get_wp_mat_dtype(dtype: torch.dtype):
"""Get the warp mat dtype for a given torch dtype."""
if dtype == torch.float32:
return wp.mat33f
elif dtype == torch.float64:
return wp.mat33d
elif dtype == torch.float16:
return wp.mat33h
else:
raise ValueError(f"Unsupported dtype: {dtype}")