CustomVjp ========= Define custom Vision-Jacobian Product (backward pass) for valid differentiation. **Abstract Signature:** ``CustomVjp(fun: Callable, nondiff_argnums: tuple = ())`` .. raw:: html
torch.autograd.function.Function
jax.custom_vjp
tf.custom_gradient
flax.nnx.custom_vjp