mps.py 2.64 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
# 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.
Ruslan Baratov committed
17
"""External function interface to MPS libraries."""
18 19 20 21
from __future__ import absolute_import as _abs
from .. import api as _api
from .. import intrin as _intrin

Leyuan Wang committed
22
# pylint: disable=C0103,W0612
23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44

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

    This function serves as an example on how to calle external libraries.

    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.
    """
Leyuan Wang committed
45 46 47 48 49 50
    m = lhs.shape[0] if transa is False else lhs.shape[1]
    n = rhs.shape[1] if transb is False else rhs.shape[0]
    if transa:
        m = b
    if transb:
        n = c
51
    return _api.extern(
Leyuan Wang committed
52
        (m, n), [lhs, rhs],
53 54 55
        lambda ins, outs: _intrin.call_packed(
            "tvm.contrib.mps.matmul", ins[0], ins[1], outs[0], transa, transb),
        name="C")
Leyuan Wang committed
56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87

def conv2d(data, weight, pad='SAME', stride=1):
    """
    Create an extern op that compute data * weight and return result in output

    Parameters:
    ----------
    data: Tensor
        The input data, format NHWC
    weight: Tensor
        The conv weight, format output_feature * kH * kW * input_feature
    pad: str
        Padding method, 'SAME' or 'VALID'
    stride: int
        convolution stride

    Returns
    -------
    output: Tensor
        The result tensor
    """
    n, hi, wi, ci = data.shape
    co, kh, kw, ciw = weight.shape
    padding = 0 if pad == 'SAME' else 1
    ho = hi // stride
    wo = wi // stride

    return _api.extern(
        (n, ho, wo, co), [data, weight],
        lambda ins, outs: _intrin.call_packed(
            "tvm.contrib.mps.conv2d", ins[0], ins[1], outs[0], padding, stride),
        name="C")