PyTorch autograd: dimensionality of custom function gradients?...

PyTorch not updating weights when using autograd in loss function...

Calculate gradient of validation error w.r.t inputs using Keras/Tensorflow or autograd...

Efficient way to compute Jacobian x Jacobian.T...

Backward function in PyTorch...

_th_addr_out not supported on CPUType for ComplexFloat...

How to automatically disable register_hook when model is in eval() phase in PyTorch?...

How to avoid recalculating a function when we need to backpropagate through it twice?...

Computing matrix derivatives with torch.autograd.grad (PyTorch)...

How to right shift each row of a matrix?...

PyTorch gradients have different shape for CUDA and CPU...

Explanation behind the following Pytorch results...

Pytorch: How to optimize multiple variables with respect to multiple losses?...

Why doesn't torch.autograd compute the gradient in this case?...

Why do we need clone the grad_output and assign it to grad_input when defining a ReLU autograd funct...

Scope of with torch.no_grad() in pytorch...

Can my PyTorch forward function do additional operations?...

Using automatic differentiation libraries to compute partial derivatives of an arbitrary tensor...

How to assign equations element by element in autograd...

Does PyTorch loss() and backpropagation understand lambda layers?...

autograd differentiation example in PyTorch - should be 9/8?...

Using autograd to compute Jacobian matrix of outputs with respect to inputs...

Very simple optim.SGD training loop not working as expected - PyTorch...

Autograd breaks np.empty_like...

Do all variables in the loss function have to be tensor with grads in pytorch?...

Pytorch Autograd: what does runtime error "grad can be implicitly created only for scalar outpu...

How to find and understand the autograd source code in PyTorch...

Encounter the RuntimeError: one of the variables needed for gradient computation has been modified b...

Use PyTorch to adjust Tensor matrix values based on numbers I calculate from the Tensors?...

Activation gradient penalty...