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- # Copyright 2020 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: pow"""
- import akg.topi
- import akg.tvm
- from akg.utils import validation_check as vc_util
-
-
- @vc_util.check_input_type(akg.tvm.tensor.Tensor, akg.tvm.tensor.Tensor)
- def pow(data1, data2):
- """
- Computes power(data1,data2) elementwise, broadcast is supported.
-
- Args:
- data1 (tvm.tensor.Tensor): Tensor.
- data2 (tvm.tensor.Tensor): Tensor of same type as data1, if shape(data2) != shape(data1), broadcast will happen.
-
- Returns:
- tvm.tensor.Tensor, powered result, with same type as input tensors and broadcasted shape of data1 and data2.
- """
- vc_util.elemwise_dtype_check(data1.dtype, data2.dtype)
- vc_util.check_shape(data1.shape)
- vc_util.check_shape(data2.shape)
- vc_util.auto_broadcast_check(data1.shape, data2.shape)
-
- in_dtype = data1.dtype
- if in_dtype == 'float16':
- data1 = akg.topi.cast(data1, 'float32')
- data2 = akg.topi.cast(data2, 'float32')
- res = akg.topi.power(data1, data2)
- if in_dtype == 'float16':
- res = akg.topi.cast(res, 'float16')
-
- return res
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