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// Copyright (c) OpenMMLab. All rights reserved
#include "pytorch_cpp_helper.hpp"
#include "pytorch_device_registry.hpp"
void carafe_forward_impl(Tensor features, Tensor masks, Tensor rfeatures,
Tensor routput, Tensor rmasks, Tensor output,
int kernel_size, int group_size, int scale_factor) {
DISPATCH_DEVICE_IMPL(carafe_forward_impl, features, masks, rfeatures, routput,
rmasks, output, kernel_size, group_size, scale_factor);
}
void carafe_backward_impl(Tensor top_grad, Tensor rfeatures, Tensor masks,
Tensor rtop_grad, Tensor rbottom_grad_hs,
Tensor rbottom_grad, Tensor rmask_grad,
Tensor bottom_grad, Tensor mask_grad, int kernel_size,
int group_size, int scale_factor) {
DISPATCH_DEVICE_IMPL(carafe_backward_impl, top_grad, rfeatures, masks,
rtop_grad, rbottom_grad_hs, rbottom_grad, rmask_grad,
bottom_grad, mask_grad, kernel_size, group_size,
scale_factor);
}
void carafe_forward(Tensor features, Tensor masks, Tensor rfeatures,
Tensor routput, Tensor rmasks, Tensor output,
int kernel_size, int group_size, int scale_factor) {
carafe_forward_impl(features, masks, rfeatures, routput, rmasks, output,
kernel_size, group_size, scale_factor);
}
void carafe_backward(Tensor top_grad, Tensor rfeatures, Tensor masks,
Tensor rtop_grad, Tensor rbottom_grad_hs,
Tensor rbottom_grad, Tensor rmask_grad, Tensor bottom_grad,
Tensor mask_grad, int kernel_size, int group_size,
int scale_factor) {
carafe_backward_impl(top_grad, rfeatures, masks, rtop_grad, rbottom_grad_hs,
rbottom_grad, rmask_grad, bottom_grad, mask_grad,
kernel_size, group_size, scale_factor);
}
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