Hey, I’m a beginner. I want to compute linear unit x dot w.T without bias. I followed this way of instantiation from tutorial:
struct Net : torch::nn::Module {
Net(int64_t N, int64_t M)
: linear(register_module(“linear”, torch::nn::Linear(N, M)))
{ }
But according to this in Functions.h:
static inline Tensor linear(const Tensor & input, const Tensor & weight, const Tensor & bias) {
static auto table = globalATenDispatch().getOpTable(“aten::linear(Tensor input, Tensor weight, Tensor? bias=None) -> Tensor”);
return table->getOp<Tensor (const Tensor &, const Tensor &, const Tensor &)>(at::detail::infer_backend(input), at::detail::infer_is_variable(input))(input, weight, bias);
}
It doesn’t let me bypass the parameter bias. I wonder if I’m implementing it wrong? Please, can anyone tell me the approach for the same?