#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/utils/OpAdapter.h"
namespace acl_op {
using npu_preparation = at_npu::native::OpPreparation;
using npu_utils = at_npu::native::NpuUtils;
namespace {
at::Tensor& softshrink_backward_out_nocheck(
at::Tensor& grad_input,
const at::Tensor& grad_output,
const at::Tensor& self,
at::Scalar lambd) {
at_npu::native::OpCommand cmd;
cmd.Name("SoftShrinkGrad")
.Input(grad_output)
.Input(self)
.Output(grad_input)
.Attr("lambd", lambd)
.Run();
return grad_input;
}
}
at::Tensor& softshrink_backward_out(
const at::Tensor& grad_output,
const at::Tensor& self,
const at::Scalar& lambd,
at::Tensor& grad_input) {
npu_preparation::CheckOut(
{self, grad_output},
grad_input,
self);
if (!npu_utils::check_match(&grad_input)) {
at::Tensor contiguous_result = npu_utils::format_contiguous(grad_input);
softshrink_backward_out_nocheck(contiguous_result, grad_output, self, lambd);
npu_utils::format_fresh_view(grad_input, contiguous_result);
} else {
softshrink_backward_out_nocheck(grad_input, grad_output, self, lambd);
}
return grad_input;
}
at::Tensor softshrink_backward(
const at::Tensor& grad_output,
const at::Tensor& self,
const at::Scalar& lambd) {
at::Tensor grad_input = npu_preparation::apply_tensor(self);
softshrink_backward_out_nocheck(
grad_input, grad_output, self, lambd);
return grad_input;
}
}