#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_out_nocheck(
at::Tensor& result,
const at::Tensor& self,
at::Scalar lambd)
{
at_npu::native::OpCommand cmd;
cmd.Name("SoftShrink")
.Input(self)
.Output(result)
.Attr("lambd", lambd)
.Run();
return result;
}
}
at::Tensor& softshrink_out(
const at::Tensor& self,
const at::Scalar& lambd,
at::Tensor& result)
{
TORCH_CHECK(lambd.toFloat() >= 0, "lambd should be greater or equal to 0" + OPS_ERROR(ErrCode::VALUE));
npu_preparation::CheckOut(
{self},
result,
self);
if (!npu_utils::check_match(&result)) {
at::Tensor contiguous_result = npu_utils::format_contiguous(result);
softshrink_out_nocheck(contiguous_result, self, lambd);
npu_utils::format_fresh_view(result, contiguous_result);
} else {
softshrink_out_nocheck(result, self, lambd);
}
return result;
}
at::Tensor softshrink(const at::Tensor& self, const at::Scalar& lambd)
{
TORCH_CHECK(lambd.toFloat() >= 0, "lambd should be greater or equal to 0" + OPS_ERROR(ErrCode::VALUE));
at::Tensor result = npu_preparation::apply_tensor(self);
softshrink_out_nocheck(result, self, lambd);
return result;
}
}