align_corners 直接影响torch.nn.functional.grid_sample具体的采样结果,需充分了解。但PyTorch官方文档过于简略,看不懂,故将自己探索的心得分享给大家。从一段简单的示例代码开始: import torch import torch…
torch.nn.functional.grid_sample(input, grid, mode=‘bilinear’, padding_mode=‘zeros’, align_corners=None) 为了简单起见,以下讨论都是基于如下参数进行实验及讲解的: torch.nn.functional.grid_sample(input, grid, mode=‘bilinear’, padding_mode=‘border’, align_corners=True) 给定维度为(N,C,Hin...
torch.nn.functional.grid_sample(input, grid, mode='bilinear', padding_mode='zeros', align_corners=None) 简单来说,grid_sample提供一个input以及一个网格,然后根据grid中每个位置提供的坐标信息(input中pixel的坐标),将input中对应位置的像素值填充到grid指定的位置,得到最终的输出。 inp ()(N,C,H,W) ...
nn.functional.grid_sample(test,sample_one,mode='bilinear',padding_mode="zeros",align_corners=True) print(result_one ) #tensor([[[1.]]]) result_two= torch.nn.functional.grid_sample(test,sample_two ,mode='bilinear',padding_mode="zeros",align_corners=False) print(result_two) #tensor([[...
()torch.nn.functional.fold()torch.nn.functional.gelu()torch.nn.functional.glu()torch.nn.functional.grid_sample()torch.nn.functional.gumbel_softmax()torch.nn.functional.hardshrink()torch.nn.functional.hardsigmoid()torch.nn.functional.hardswish()torch.nn.functional.hardtanh()torch.nn.functional....
问通过具体实例了解torch.nn.functional.grid_sample opEN 运行在http://localhost:8082端口的前端服务...
grid_sample affine_grid DataParallel functions (multi-GPU, distributed) data_parallel Convolution functions conv1d torch.nn.functional.conv1d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1)→ Tensor Applies a 1D convolution over an input signal composed of several input plan...
torch.nn.functional.conv3d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1) → Tensor source 在由几个输入平面组成的输入图像上应用3D卷积。 对于细节和输出形状,查看Conv3d 参数: input – 输入张量的形状 (minibatch xin_channels x iT x iH x iW) weight – 过滤器的形状 ...
as a single fine-grid simulation can generate hundreds or thousands of local samples for training. The method sustains strong generalization even when confronted with complex and pronounced singularities in the solutions. Beyond ...
nn.functional.grid_sample 一、函数介绍Pytorch中grid_sample函数的接口声明如下,具体网址可以点这里torch.nn.functional.grid_sample(input, grid, mode=‘bilinear’, padding_mode=‘zeros’, align_corners=None)为了简单起见,以下讨论都是基于如下参数进行实验及讲解的:torch.nn.functional.grid_ torch cnn回归...