x = nn.functional.interpolate(x, scale_factor=8, mode='bilinear', align_corners=False)
importtorch.nn.functionalasFF.interpolate(x,scale_factoir=2,mode='nearest') 需要进一步了解可以查看pytorch官方文档,或者下面这篇博客: torch.nn.functional.interpolate函数_人类高质量算法工程师的博客-CSDN博客blog.csdn.net/qq_35037684/article/details/119086318#:~:text=torch.nn.functional.interpolate%20%...
conv1d torch.nn.functional.conv1d(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1) → Tensor 1. 对由多个输入平面组成的输入信号进行一维卷积. 有关详细信息和输出形状, 请参见Conv1d. 注意 在某些情况下, 当使用CUDA后端与CuDNN时, 该操作符可能会选择不确定性算法来提高性能....
torch.nn.functional.max_unpool3d(input, indices, kernel_size, stride=None, padding=0, output_size=None)[source] Computes a partial inverse of MaxPool3d. SeeMaxUnpool3dfor details. lp_pool1d torch.nn.functional.lp_pool1d(input, norm_type, kernel_size, stride=None, ceil_mode=False)[sourc...
🐛 Describe the bug The funcion torch.nn.functional.interpolate can't be used at the same time with torch.jit.script and torchvision.models.feature_extraction.create_feature_extractor (that uses torch.fx) if the destination size is an inp...
🐛 Bug torch.nn.functional.interpolate with mode='nearest' has changed in PyTorch 1.9. The previous behaviour is more logical given a scale factor so close to 1.0 should not affect the nearest pixel. To Reproduce Steps to reproduce the be...
F.interpolate 里面的 scale_factor 要求浮点数,不能是 int 代码语言:javascript 复制 RuntimeError:Argumentsforcall are not valid.The following variants are available:interpolate(Tensor input,int[]?size=None,float?scale_factor=None,str mode="nearest",bool?align_corners=None,bool?recompute_scale_factor...
torch.nn.functional.interpolate ‘bilinear‘ 图像理解 技术标签:深度学习基础 双线性插值 1. 插值计算 根据未知点周围最近的4个已知点来计算。具体计算过程是: 选上面2个点,计算他们中间的插值结果; 选下面2个点,计算他们中间的插值结果; 选刚刚计算得到的2个插值结果,计算未知点的插值结果。 线性插值公式就是...
nn.functional import interpolate y = interpolate(x, scale_factor=2) y = self.pixNorm(self.lrelu(self.conv_1(y))) y = self.pixNorm(self.lrelu(self.conv_2(y))) return y # function to calculate the Exponential moving averages for the Generator weights # This function updates the ...
torch.nn.functional.interpolate ‘bilinear‘ 图像理解 双线性插值 1. 插值计算 根据未知点周围最近的4个已知点来计算。具体计算过程是: 选上面2个点,计算他们中间的插值结果; 选下面2个点,计算他们中间的插值结果; 选刚刚计算得到的2个插值结果,计算未知点的插值结果。 线性插值公式就是两点确定一条直线,根据已...