// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/utils/OpAdapter.h"

namespace acl_op {
using npu_preparation = at_npu::native::OpPreparation;
#if VERSION_BETWEEN(V1R11, V2R7)
at::Tensor hardswish_backward(const at::Tensor& grad_output, const at::Tensor& self)
{
    at::Tensor grad_input = npu_preparation::apply_tensor(grad_output);
    at_npu::native::OpCommand cmd;
    cmd.Name("HardSwishGrad")
        .Input(grad_output)
        .Input(self)
        .Output(grad_input)
        .Run();
    return grad_input;
}
#endif
#if VERSION_BETWEEN(V2R8, VERSION_NEWEST)
at::Tensor hardswish_backward(const at::Tensor& grad_output, const at::Tensor& self)
{
    at::Tensor grad_input = npu_preparation::apply_tensor(grad_output);
    at_npu::native::OpCommand cmd;
    cmd.Name("HardSwishGrad")
        .Input(grad_output)
        .Input(self)
        .Output(grad_input)
        .Run();
    at::Tensor values_le3 = at::empty({}, self.options());
    at::Tensor values_ge3 = at::empty({}, self.options());
    acl_op::fill_(values_le3, 0.0f);
    acl_op::fill_(values_ge3, 1.0f);
    grad_input.index_put_({self.eq(-3.0f)}, values_le3);
    grad_input.index_put_({self.eq(3.0f)}, values_ge3);
    return grad_input;
}
#endif
} // namespace acl_op