|
- # 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.
-
- """relu6"""
- import akg.topi as topi
- from akg.topi import tag
- import akg
- import akg.tvm as tvm
-
- @tvm.tag_scope(tag=tag.ELEMWISE)
- def topi_nn_relu6(x):
- """topi nn relu6."""
- return tvm.compute(x.shape, lambda *i: tvm.min(tvm.max(x(*i), tvm.const(0, x.dtype)), tvm.const(6, x.dtype)))
-
- @akg.schedule(topi.cuda.schedule_injective)
- def ReLU6(x):
- """
- Compute elementwise with function: min(max(x, 0), 6).
-
- Args:
- x (tvm.tensor.Tensor): Tensor of type float16, float32.
-
- Returns:
- tvm.tensor.Tensor, has same type and shape as input.
- """
- return topi_nn_relu6(x)
|