// Copyright (c) 2023 Huawei Technologies Co., Ltd
// 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/utils/OpAdapter.h"

namespace acl_op {
at::Tensor& log_softmax_nocheck(
    at::Tensor& result,
    const at::Tensor& self,
    int64_t dim)
{
    c10::SmallVector<int64_t, N> dim_list = {dim};
    at_npu::native::OpCommand cmd;
    cmd.Name("LogSoftmaxV2")
        .Input(self)
        .Attr("axes", dim_list)
        .Output(result)
        .Run();
    return result;
}

at::Tensor log_softmax_nocheck(
    at::Tensor& result,
    const at::Tensor& self,
    int64_t dim,
    c10::optional<c10::ScalarType> dtype)
{
    c10::ScalarType dst_type;
    if (dtype.has_value()) {
        dst_type = dtype.value();
    } else if (result.defined()) {
        dst_type = result.scalar_type();
    } else {
        dst_type = self.scalar_type();
    }
    // dtype same
    if (dst_type == self.scalar_type()) {
        log_softmax_nocheck(result, self, dim);
        return result;
    }

    log_softmax_nocheck(result, self.toType(dst_type), dim);
    return result;
}
} // namespace acl_op