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mindspore/mindspore/_akg/gpu/hswish_grad.py

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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.
"""HswishGrad"""
import _akg.topi as topi
import _akg.tvm as tvm
def HswishGrad(y_grad, x):
"""
HswishGrad
Args:
y_grad:
x:
Returns:
"""
shape = x.shape
res0 = tvm.compute(shape, lambda *i: tvm.if_then_else(x(*i) <= -3, 0, y_grad(*i) * (2 * x(*i) + 3) / 6))
res6 = tvm.compute(shape, lambda *i: tvm.if_then_else(x(*i) >= 3, y_grad(*i), res0(*i)))
return res6
def gpu_schedule_HswishGrad(outs):
"""
gpu schedule HswishGrad
Args:
outs:
Returns:
"""
device = 'cuda'
ctx = tvm.context(device, 0)
if not ctx.exist:
raise SystemError("Skip because %s is not enabled" % device)
with tvm.target.create(device):
sch = topi.cuda.schedule_elemwise(outs)
return sch