pytorch中的上采样以及各种反操作,求逆操作详解-创新互联

import torch.nn.functional as F

主要从事网页设计、PC网站建设（电脑版网站建设）、wap网站建设（手机版网站建设）、成都响应式网站建设、程序开发、微网站、小程序制作等，凭借多年来在互联网的打拼，我们在互联网网站建设行业积累了丰富的成都网站制作、成都网站建设、网络营销经验，集策划、开发、设计、营销、管理等多方位专业化运作于一体，具备承接不同规模与类型的建设项目的能力。

import torch.nn as nn

F.upsample(input, size=None, scale_factor=None,mode='nearest', align_corners=None)

  r"""Upsamples the input to either the given :attr:`size` or the given
  :attr:`scale_factor`
  The algorithm used for upsampling is determined by :attr:`mode`.
  Currently temporal, spatial and volumetric upsampling are supported, i.e.
  expected inputs are 3-D, 4-D or 5-D in shape.
  The input dimensions are interpreted in the form:
  `mini-batch x channels x [optional depth] x [optional height] x width`.
  The modes available for upsampling are: `nearest`, `linear` (3D-only),
  `bilinear` (4D-only), `trilinear` (5D-only)
  Args:
    input (Tensor): the input tensor
    size (int or Tuple[int] or Tuple[int, int] or Tuple[int, int, int]):
      output spatial size.
    scale_factor (int): multiplier for spatial size. Has to be an integer.
    mode (string): algorithm used for upsampling:
      'nearest' | 'linear' | 'bilinear' | 'trilinear'. Default: 'nearest'
    align_corners (bool, optional): if True, the corner pixels of the input
      and output tensors are aligned, and thus preserving the values at
      those pixels. This only has effect when :attr:`mode` is `linear`,
      `bilinear`, or `trilinear`. Default: False
  .. warning::
    With ``align_corners = True``, the linearly interpolating modes
    (`linear`, `bilinear`, and `trilinear`) don't proportionally align the
    output and input pixels, and thus the output values can depend on the
    input size. This was the default behavior for these modes up to version
    0.3.1. Since then, the default behavior is ``align_corners = False``.
    See :class:`~torch.nn.Upsample` for concrete examples on how this
    affects the outputs.
  """

另外有需要云服务器可以了解下创新互联scvps.cn，海内外云服务器15元起步，三天无理由+7*72小时售后在线，公司持有idc许可证，提供“云服务器、裸金属服务器、高防服务器、香港服务器、美国服务器、虚拟主机、免备案服务器”等云主机租用服务以及企业上云的综合解决方案，具有“安全稳定、简单易用、服务可用性高、性价比高”等特点与优势，专为企业上云打造定制，能够满足用户丰富、多元化的应用场景需求。

名称栏目：pytorch中的上采样以及各种反操作,求逆操作详解-创新互联
文章出自：http://6mz.cn/article/gosdp.html