#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& tanh_backward_out_npu_nocheck(
at::Tensor& result,
const at::Tensor& grad_output,
const at::Tensor& self)
{
at_npu::native::OpCommand cmd;
cmd.Name("TanhGrad")
.Input(self)
.Input(grad_output)
.Output(result)
.Run();
return result;
}
}
at::Tensor& tanh_backward_out(
const at::Tensor& grad_output,
const at::Tensor& self,
at::Tensor& result)
{
auto output_size = op_infer::broadcast_ops_npu_output_size(grad_output, self);
npu_preparation::CheckOut({grad_output, self}, result, self, output_size);
if (!npu_utils::check_match(&result)) {
at::Tensor contiguous_result = npu_utils::format_contiguous(result);
tanh_backward_out_npu_nocheck(contiguous_result, grad_output, self);
npu_utils::format_fresh_view(result, contiguous_result);
} else {
tanh_backward_out_npu_nocheck(result, grad_output, self);
}
return result;
}
at::Tensor tanh_backward(const at::Tensor& grad_output, const at::Tensor& self)
{
auto output_size = op_infer::broadcast_ops_npu_output_size(grad_output, self);
at::Tensor result = npu_preparation::apply_tensor(self, output_size);
tanh_backward_out_npu_nocheck(result, grad_output, self);
return result;
}
}