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- #!/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: relu"""
-
- import akg.tvm
- from akg.utils import validation_check as vc_util
-
-
- @vc_util.check_input_type(akg.tvm.tensor.Tensor)
- def relu(inputs):
- """
- Compute rectified linear of input tensor.
-
- Return max(inputs, 0) element-wise.
-
- Args:
- inputs (tvm.tensor.Tensor): Input tensor.
-
- Returns:
- tvm.tensor.Tensor with the same type and shape as data.
- """
- vc_util.check_shape(inputs.shape)
- vc_util.ops_dtype_check(inputs.dtype, vc_util.DtypeForDavinci.ALL_FLOAT)
- output = akg.tvm.compute(inputs.shape, lambda *i: akg.tvm.max(inputs(*i),
- akg.tvm.const(0, inputs.dtype)), name="output")
- return output
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