


loss.backward(grad_loss)
weight.grad
   tensor([-1.8107, -0.6357,  0.0783])



Currently supported operations and subsystems
Operators
See Named Tensors operator coverage for a full list of the supported
torch and tensor operations. We do not yet support the following that
is not covered by the link:

indexing, advanced indexing.

For "torch.nn.functional" operators, we support the following:


"torch.nn.functional.relu()"


"torch.nn.functional.softmax()"


"torch.nn.functional.log_softmax()"


"torch.nn.functional.tanh()"


"torch.nn.functional.sigmoid()"


"torch.nn.functional.dropout()"


Subsystems
Autograd is supported, see Autograd support. Because gradients are
currently unnamed, optimizers may work but are untested.
NN modules are currently unsupported. This can lead to the following
when calling modules with named tensor inputs:

NN module parameters are unnamed, so outputs may be partially named.
