# Copyright (c) 2025, Alibaba Group;
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#    http://www.apache.org/licenses/LICENSE-2.0
# 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.

# We use the mm ops from generative-recommenders a starting point.
# https://github.com/facebookresearch/generative-recommenders
# thanks to their public work.

import torch
from torch.utils._triton import has_triton

from tzrec.ops import Kernel

if has_triton():
    from tzrec.ops.triton.triton_addmm import triton_addmm
else:
    triton_addmm = torch.addmm


def addmm(
    input: torch.Tensor,
    mat1: torch.Tensor,
    mat2: torch.Tensor,
    kernel: Kernel = Kernel.PYTORCH,
) -> torch.Tensor:
    if kernel == Kernel.TRITON:
        return triton_addmm(input, mat1, mat2)
    else:
        return torch.addmm(input, mat1, mat2)
