MindSpore-AKG/python/akg/ops/math/floordiv.py

#!/usr/bin/env python3
# coding: utf-8
# Copyright 2019 Huawei Technologies Co., Ltd
#
# 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.

"""operator dsl function:floordiv"""
import akg.topi
import akg
import akg.lang.cce
from akg.ops.math.reciprocal import reciprocal
from akg.utils import validation_check as vc_util, kernel_exec as utils


@vc_util.check_input_type(akg.tvm.tensor.Tensor, akg.tvm.tensor.Tensor)
def floordiv(data1, data2):
    """
    Calculate x/y, and always returns an integer which is floored.

    Args:
        data1 (tvm.tensor.Tensor): Tensor of type float16, float32.
        data2 (tvm.tensor.Tensor): Tensor of type float16, float32.

    Returns:
        tvm.tensor.Tensor, has type of int32.
    """
    vc_util.ops_dtype_check([data1.dtype, data2.dtype], vc_util.DtypeForDavinci.ALL_FLOAT)
    shape1 = [x.value for x in data1.shape]
    vc_util.check_shape(shape1)
    shape2 = [x.value for x in data2.shape]
    vc_util.check_shape(shape2)

    if utils.product_is_mini():
        rec = reciprocal(data2, high_precision=True)
        res = data1 * rec
    else:
        res = akg.topi.divide(data1, data2)
    res = akg.lang.cce.floor(res)
    return res