# Copyright 2021 Huawei Technologies Co., Ltd

#

# 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.nn as nn

import torch.nn.functional as F



class InterpolateModule(nn.Module):

	"""

	This is a module version of F.interpolate (rip nn.Upsampling).

	Any arguments you give it just get passed along for the ride.

	"""



	def __init__(self, *args, **kwdargs):

		super().__init__()



		self.args = args

		self.kwdargs = kwdargs



	def forward(self, x):

		return F.interpolate(x, *self.args, **self.kwdargs)