从Module中获取子module,example: 2.3 模型参数(parameter)与缓冲区(buffer) register_parameter(self, name: str, param: Optional[Parameter]) 用于在当前模块中添加一个parameter变量,其中参数param是一个Parameter类型(继承至tensor类型,nn.parameter.Parameter)。 Example: importtorchimporttorch.nnasnnclassGaussianMo...
kernel_size, )) return torch.cat([self._filters, hft_f], dim=0) Example #13Source File: dcfnet.py From open-vot with MIT License 5 votes def parse_args(self, **kargs): # default branch is AlexNetV1 self.cfg = { 'crop_sz': 125, 'output_sz': 121, 'lambda0': 1e-4, '...
See Gaussian Error Linear Units (GELUs). logsigmoid torch.nn.functional.logsigmoid(input)→ Tensor Applies element-wise LogSigmoid(xi)=log(11+exp(−xi))\text{LogSigmoid}(x_i) = \log \left(\frac{1}{1 + \exp(-x_i)}\right)LogSigmoid(xi)=log(1+exp(−xi)1)...
See Gaussian Error Linear Units (GELUs) where the SiLU (Sigmoid Linear Unit) was originally coined, and see Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning and Swish: a Self-Gated Activation Function where the SiLU was experimented with later. See Si...
idxs = range(len(self.messengers)) if not self.fixed_weighting: self.unary_weight.data.fill_(self.init_unary_weight) else: idxs = [pairwise_idx] for i in idxs: self.messengers[i].reset_parameters() if isinstance(self.messengers[i], nn.Conv2d): # TODO: gaussian initialization for ...
问在gpytorch中应用内核来分离维度ENThis example是有帮助的，但无法解释如何将不同的内核应用于多维探地...
Check out the release notes, as well as our fully revamped documentation and example notebooks. GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian process models with ease. Internally, GPyTorch differs from ...
Operators that are passed meta tensor inputs will perform shape inference, without running the actually kernel computation. For example, torch.ones(2, device='meta') + torch.ones(1, 2, device='meta') will return a new meta tensor of size [1, 2] (performing broadcasting), without ...
🐛 Bug I was trying to extend MultiTaskKernel's example by including GridInterpolationKernel, with the input being more than one dimension. However when I'm using all three features (multitask, grid interpolation kernel, multi-dimensional...
(Default: ``"TPDF"``) Options: Triangular Probability Density Function - `TPDF` Rectangular Probability Density Function - `RPDF` Gaussian Probability Density Function - `GPDF` noise_shaping (bool, optional): a filtering process that shapes the spectral energy of quantisation error (Default: `...