# Copyright (c) 2023, NVIDIA CORPORATION.  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 torch import nn


class Permute(nn.Module):
    def __init__(self, dims, make_contiguous=False):
        super(Permute, self).__init__()
        self.dims = dims
        self.make_contiguous = make_contiguous

    def forward(self, x):
        x = x.permute(self.dims)
        if self.make_contiguous:
            x = x.contiguous()
        return x
