python/tvm/contrib/rocblas.py

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"""External function interface to rocBLAS libraries."""
import tvm
from tvm import te


def matmul(lhs, rhs, transa=False, transb=False):
    """Create an extern op that compute matrix mult of A and rhs with rocBLAS

    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]
    return te.extern(
        (n, m),
        [lhs, rhs],
        lambda ins, outs: tvm.tir.call_packed(
            "tvm.contrib.rocblas.matmul", ins[0], ins[1], outs[0], transa, transb
        ),
        name="C",
    )


def batch_matmul(lhs, rhs, transa=False, transb=False):
    """Create an extern op that compute matrix mult of A and rhs with rocBLAS

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

    Returns
    -------
    C : Tensor
        The result tensor.
    """
    batch_size = lhs.shape[0]
    assert batch_size == rhs.shape[0]
    n = lhs.shape[2] if transa else lhs.shape[1]
    m = rhs.shape[1] if transb else rhs.shape[2]
    return te.extern(
        (batch_size, n, m),
        [lhs, rhs],
        lambda ins, outs: tvm.tir.call_packed(
            "tvm.contrib.rocblas.batch_matmul", ins[0], ins[1], outs[0], transa, transb
        ),
        name="C",
    )