Applies element-wise the function GeLU(x)=x∗Φ(x)\text{GeLU}(x) = x * \Phi(x)GeLU(x)=x∗Φ(x) where Φ(x)\Phi(x)Φ(x) is the Cumulative Distribution Function for Gaussian Distribution. See Gaussian Error Linear Units (GELUs). logsigmoid torch.nn.functional.logsigmoid(input)...
Applies the silu function, element-wise. silu(x)=x∗σ(x),where σ(x) is the logistic sigmoid. Note 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 Reinfor...
blurred: Tensor = gaussian_blur2d(input, kernel_size, sigma) ^^^ File "...\Python\Python312\Lib\site-packages\kornia\filters\gaussian.py", line 84, in gaussian_blur2d out = filter2d_separable(input, kernel_x, kernel_y, border_type) ^^^ File "...\Python\Python312\Lib\site-package...
N) Gaussian kernel matrix[23] K = aslinearoperator(K_xx)--->[25] eigenvalues,eigenvectors=eigsh(K,k=5) # Largest5eigenvalues/vectors[27] print("Largest eigenvalues:", eigenvalues)[28] print("Eigenvectors of shape:", eigenvectors.shape)File /venv/lib/python3.11/site-packages/scipy/sparse/li...
可设定的字符串命令为:‘none’,‘nearest’,‘bilinear’,‘bicubic’,‘spline16’, ‘spline36’, ‘hanning’, ‘hamming’, ‘hermite’, ‘kaiser’,‘quadric’,‘catrom’,‘gaussian’,‘bessel’,‘mitchell’, ‘sinc’,'lanczos 如果"None",默认rc image.interpolation。
# True function is sin(2*pi*x) with Gaussian noise train_y = torch.sin(train_x * (2 * math.pi)) + torch.randn(train_x.size()) * math.sqrt(0.04) class ExactGPModel(gpytorch.models.ExactGP): def __init__(self, train_x, train_y, likelihood): ...
Gaussian Probability Density Function - `GPDF` noise_shaping (bool, optional): a filtering process that shapes the spectral energy of quantisation error (Default: ``False``) Returns: Tensor: waveform dithered """ dithered = _apply_probability_distribution(waveform, density_function=density_function...
cfg['y'] = gaussian_shaped_labels(self.cfg['output_sigma'], [self.cfg['output_sz'], self.cfg['output_sz']]) self.cfg['yf'] = torch.rfft(torch.Tensor(self.cfg['y']).view(1, 1, self.cfg['output_sz'], self.cfg['output_sz']).cuda(), signal_ndim=2) self.cfg['net_...
Applies element-wise the function GeLU(x)=x∗Φ(x)\text{GeLU}(x) = x * \Phi(x)GeLU(x)=x∗Φ(x) where Φ(x)\Phi(x)Φ(x) is the Cumulative Distribution Function for Gaussian Distribution. SeeGaussian Error Linear Units (GELUs). ...
def softplus_kernel(self, input): return F.softplus(input.unsqueeze(self.unsqueeze_dim) - self.dict) Example #22Source File: GAN.py From MaximumMarginGANs with MIT License 5 votes def forward(self, x): #return F.softplus(x, self.a, 20.) return self.a(x) Example...