# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you 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.
"""External function interface to hipBLAS libraries."""

import tvm
from tvm import te


def matmul(lhs, rhs, transa=False, transb=False, dtype=None):
    """Create an extern op that compute matrix mult of A and rhs with cuBLAS

    Parameters
    ----------
    lhs : Tensor
        The left matrix operand
    rhs : Tensor
        The right matrix operand
    transa : bool
        Whether transpose lhs
    transb : bool
        Whether transpose rhs

    Returns
    -------
    C : Tensor
        The result tensor.
    """
    n = lhs.shape[1] if transa else lhs.shape[0]
    m = rhs.shape[0] if transb else rhs.shape[1]
    dtype = dtype if dtype is not None else lhs.dtype
    return te.extern(
        (n, m),
        [lhs, rhs],
        lambda ins, outs: tvm.tirx.call_packed(
            "tvm.contrib.hipblas.matmul", ins[0], ins[1], outs[0], transa, transb
        ),
        dtype=dtype,
        name="matmul_hipblas",
    )


def batch_matmul(lhs, rhs, transa=False, transb=False, dtype=None):
    """Create an extern op that compute batch matrix mult of A and rhs with cuBLAS

    Parameters
    ----------
    lhs : Tensor
        The left matrix operand
    rhs : Tensor
        The right matrix operand
    transa : bool
        Whether transpose lhs
    transb : bool
        Whether transpose rhs

    Returns
    -------
    C : Tensor
        The result tensor.
    """
    b = lhs.shape[0]
    n = lhs.shape[2] if transa else lhs.shape[1]
    m = rhs.shape[1] if transb else rhs.shape[2]
    dtype = dtype if dtype is not None else lhs.dtype
    return te.extern(
        (b, n, m),
        [lhs, rhs],
        lambda ins, outs: tvm.tirx.call_packed(
            "tvm.contrib.hipblas.batch_matmul", ins[0], ins[1], outs[0], transa, transb
        ),
        dtype=dtype,
        name="batch_matmul_hipblas",
    )