Webtorch.nn.ReflectionPad3d when attempting to differentiate a CUDA tensor torch.nn.ReplicationPad1d when attempting to differentiate a CUDA tensor torch.nn.ReplicationPad2d when attempting to differentiate a CUDA tensor torch.nn.ReplicationPad3d when attempting to differentiate a CUDA tensor … Webclass torch.nn.ReplicationPad1d(padding) [source] Pads the input tensor using replication of the input boundary. For N -dimensional padding, use torch.nn.functional.pad (). …
PyTorch - ReflectionPad1d 使用边界反射对输入张量进行填充。
WebC ReflectionPad1d C ReflectionPad2d C ReplicationPad1d C ReplicationPad2d C ReplicationPad3d C ZeroPad2d N pixelshuffle C PixelShuffle N pooling C _AdaptiveAvgPoolNd C _AdaptiveMaxPoolNd C _AvgPoolNd C _LPPoolNd C _MaxPoolNd C _MaxUnpoolNd C AdaptiveAvgPool1d C AdaptiveAvgPool2d C AdaptiveAvgPool3d C … WebReflectionPad1d class torch.nn.ReflectionPad1d(padding: Union[T, Tuple[T, T]])[source] Pads the input tensor using the reflection of the input boundary. For N-dimensional padding, use torch.nn.functional.pad(). Parameters padding(int, tuple) – the size of the padding. If is int, uses the same padding in all boundaries. bithonol
PyTorch - When using ReflectionPad2d layers in PyTorch, some …
WebAbout. Learn about PyTorch’s features and capabilities. Community. Join the PyTorch developer community to contribute, learn, and get your questions answered. WebSep 8, 2024 · torch.nn.ReflectionPad2d ()的用法简介. 最近在看Pix2PixHD的源码时,发现里面有几处用了nn.ReflectionPad2d ()这个函数,查阅了官方文档和网上的资料后,终于弄 … Webclass mindspore.nn.ReflectionPad2d(padding) [source] ¶. Using a given padding to do reflection pad the given tensor. Parameters. padding ( union[int, tuple]) – The padding size to pad the input tensor. If padding is an integer: all directions will be padded with the same size. If padding is a tuple: uses ( p a d _ l e f t, p a d _ r i g h t ... data analyst swickard shared services