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- # 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: mul"""
- import _akg.topi
- from _akg.utils import validation_check as vc_util
-
-
- @vc_util.check_input_type(_akg.tvm.tensor.Tensor, _akg.tvm.tensor.Tensor)
- def mul(l_input, r_input):
- """
- Calculate x * y element-wise.
-
- Note:
- mul supports broadcasting.
-
- Args:
- l_input (tvm.tensor.Tensor): Tensor.
- r_input (tvm.tensor.Tensor): Tensor.
-
- Returns:
- tvm.tensor.Tensor, has the same type as l_input and r_input.
- """
- shape1 = [x.value for x in l_input.shape]
- shape2 = [x.value for x in r_input.shape]
- vc_util.check_shape(shape1)
- vc_util.check_shape(shape2)
- vc_util.auto_broadcast_check(shape1, shape2)
- vc_util.elemwise_dtype_check(l_input.dtype, r_input.dtype)
- output = _akg.topi.multiply(l_input, r_input)
-
- return output
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