// 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;

at::Tensor npu_masked_fill_range(
    const at::Tensor& self,
    const at::Tensor& start,
    const at::Tensor& end,
    const at::Tensor& value,
    int64_t axis)
{
    int64_t x_dim = self.dim();
    int64_t min = -x_dim;
    int64_t max = x_dim - 1;
    TORCH_CHECK(
        !(axis < min || axis > max),
        "axis overfloaw the range, expected in range [",
        -x_dim,
        " ",
        x_dim - 1,
        "] " + OPS_ERROR(ErrCode::VALUE));
    TORCH_CHECK(
        start.ndimension() == 2 && start.sizes() == end.sizes(),
        "Expected noempty 2D start tensor and start' sizes() should be equal end's sizes() "
        + OPS_ERROR(ErrCode::PARAM));
    TORCH_CHECK(
        start.size(0) == value.size(0),
        "Expected value.length equal start loop num "
        + OPS_ERROR(ErrCode::VALUE));
    TORCH_CHECK(
        self.scalar_type() == value.scalar_type(),
        "value dtype should be equal self dtype !, but value dtype is ",
        value.scalar_type(),
        " and self dtype is ",
        self.scalar_type(),
        OPS_ERROR(ErrCode::TYPE));

    at::Tensor result = npu_preparation::apply_tensor(self);
    at_npu::native::OpCommand cmd;
    cmd.Name("MaskedFillRange")
        .Input(self)
        .Input(start)
        .Input(end)
        .Input(value)
        .Output(result)
        .Attr("axis", axis)
        .Run();
    return result;
}
} // namespace acl_op