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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.
- """equal"""
- import _akg.tvm
- from _akg.ops.math import equal
- from _akg.topi.generic import schedule_elemwise
-
- def Equal(x, y):
- """equal."""
- return equal.equal(x, y)
-
-
- def gpu_schedule_Equal(outs):
- """
- gpu schedule for Equal.
-
- Args:
- outs (tvm.tensor.Tensor): outputs of compute.
-
- Returns:
- sch (schedule.Schedule): The created schedule.
- """
- device = 'cuda'
- ctx = _akg.tvm.context(device, 0)
- if not ctx.exist:
- raise SystemError("Skip because %s is not enabled" % device)
- with _akg.tvm.target.create(device):
- sch = schedule_elemwise(outs)
- return sch
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