然而,如果你在代码中直接尝试使用torch.nn.pixelunshuffle,会遇到AttributeError,因为正确的类名应该是PixelUnshuffle(注意大小写和拼写)。 提供替代'pixelunshuffle'的解决方案或代码示例: 由于torch.nn中没有名为pixelunshuffle的属性,你应该使用PixelUnshuffle类。下面是一个使用PixelUnshuffle类的示例代码: python im...
8 class PixelShuffle(Module): Move Pixel Shuffle to ATen (#9721) Sep 14, 2018 9 r"""Rearranges elements in a tensor of shape :math:`(*, C \times r^2, H, W)`Add PixelUnshuffle (#49334) Dec 23, 2020 10 to a tensor of shape :math:`(*, C, H \times r, W \times r...
或者如果pixelshuffle/depth_to_space层跟随卷积层，你可以对卷积的权重通道进行 Shuffle 。具体来说，如...
1)torch.nn.PixelShuffle用于将形状为(*, C×r2, H, W)的张量的元素重新排列为形状为(*, C, H×r, W, r)的张量的元素 2)torch.nn.Upsample它用于对给定的多通道1D, 2D或3D数据进行升采样。 3)torch.nn.upsamplingNearest2d它用于对由多个输入通道组成的输入信号进行2D最近邻居上采样。 4)torch.nn.Up...
torch.nn.functional.pixel_shuffle(input, upscale_factor)[source] 将形状为[*, C*r^2, H, W]的Tensor重新排列成形状为[C, H*r, W*r]的Tensor. 详细请看PixelShuffle. 形参说明: - input (Variable) – 输入 - upscale_factor (int) – 增加空间分辨率的因子. ...
torch.nn.functional.pixel_shuffle(input, upscale_factor)[source] 将形状为[*, C*r^2, H, W]的张量重新排列成形状为[C, H*r, W*r]的张量.详细请看PixelShuffle. 参数说明: input (Variable) – 输入 upscale_factor (int) – 增加空间分辨率的因子. ...
🐛 Describe the bug torch.onnx.dynamo_export doesn't work on nn.PixelShuffle a = nn.Sequential(nn.PixelShuffle(2)) onnx_program = torch.onnx.dynamo_export(a, torch.rand(1, 8, 256, 256)) The code above gives the following exception: /usr/l...
torch.nn.functional.pixel_shuffle(input, upscale_factor)source将形状为[, Cr^2, H, W]的张量重新排列成形状为[C, Hr, Wr]的张量.详细请看PixelShuffle参数:input (Variable) – 输入 upscale_factor (int)– 增加空间分辨率的因子.举例:>>> ps = nn.PixelShuffle(3) >>> input = autograd.Variable...
functional.pixel_shuffle Supported functional.pixel_unshuffle Supported functional.grid_sample Partly supported Function is constrained functional.huber_loss Supported functional.conv1d Partly supported Function is constrained functional.conv2d Partly supported Function is constrained functional.conv3d Partly ...
torch.nn.PixelShuffle Supported 181 torch.nn.Upsample Supported 182 torch.nn.UpsamplingNearest2d Supported 183 torch.nn.UpsamplingBilinear2d Supported 184 torch.nn.DataParallel Supported 185 torch.nn.parallel.DistributedDataParallel Supported 186 torch.nn.parallel.DistributedDataParallel.no_...