PointwiseOpsKernel.cu

#include <ATen/Context.h>
#include <ATen/Dispatch.h>
#include <ATen/native/cuda/Loops.cuh>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/PointwiseOps.h>
#include <THC/THCNumerics.cuh>

namespace at { namespace native {

void addcmul_cuda_kernel(TensorIterator& iter, Scalar value) {
  AT_DISPATCH_ALL_TYPES_AND(kHalf, iter.dtype(), "addcmul_cuda", [&]() {
    auto alpha = value.to<scalar_t>();
    gpu_kernel(iter, [alpha]GPU_LAMBDA(scalar_t a, scalar_t b, scalar_t c) -> scalar_t {
      return a + alpha * b * c;
  });
  });
}

void addcdiv_cuda_kernel(TensorIterator& iter, Scalar value) {
  AT_DISPATCH_ALL_TYPES_AND(kHalf, iter.dtype(), "addcdiv_cuda", [&]() {
    auto alpha = value.to<scalar_t>();
    gpu_kernel(iter, [alpha]GPU_LAMBDA(scalar_t a, scalar_t b, scalar_t c) -> scalar_t {
      return a + alpha * (b / c);
  });
  });
}

void smooth_l1_backward_cuda_kernel(TensorIterator& iter, Scalar norm) {
  AT_DISPATCH_ALL_TYPES_AND(kHalf, iter.dtype(), "smooth_l1_backward_cuda", [&]() {
      auto norm_val = norm.to<scalar_t>();
      gpu_kernel(iter, [norm_val]GPU_LAMBDA(scalar_t input, scalar_t target, scalar_t grad_output) -> scalar_t {
        const auto x = input - target;
        if (x < scalar_t(-1))
          return -norm_val * grad_output;
        else if (x > scalar_t(1))
          return norm_val * grad_output;
        else
          return norm_val * x * grad_output;
    });
  });
}

REGISTER_DISPATCH(addcdiv_stub, &addcdiv_cuda_kernel);
REGISTER_DISPATCH(addcmul_stub, &addcmul_cuda_kernel);
REGISTER_DISPATCH(smooth_l1_backward_stub, &smooth_l1_backward_cuda_kernel);

}} // namespace at::native