You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
90 lines
2.7 KiB
90 lines
2.7 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
|
|
*
|
|
* 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. */
|
|
|
|
#include "paddle/fluid/operators/jit/more/mix/mix.h"
|
|
#include "paddle/fluid/operators/jit/kernels.h"
|
|
#include "paddle/fluid/operators/jit/registry.h"
|
|
#include "paddle/fluid/platform/cpu_info.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
namespace jit {
|
|
namespace more {
|
|
namespace mix {
|
|
|
|
template <typename T>
|
|
void VSigmoid(const T* x, T* y, int n) {
|
|
const float min = SIGMOID_THRESHOLD_MIN;
|
|
const float max = SIGMOID_THRESHOLD_MAX;
|
|
for (int i = 0; i < n; ++i) {
|
|
y[i] = (x[i] < min) ? min : ((x[i] > max) ? max : x[i]);
|
|
y[i] = static_cast<T>(0) - y[i];
|
|
}
|
|
auto compute = Get<KernelType::vexp, XYNTuples<T>, platform::CPUPlace>(n);
|
|
compute(y, y, n);
|
|
for (int i = 0; i < n; ++i) {
|
|
y[i] = static_cast<T>(1) / (static_cast<T>(1) + y[i]);
|
|
}
|
|
}
|
|
|
|
template <typename T>
|
|
void VTanh(const T* x, T* y, int n) {
|
|
const T a = 2, b = -1;
|
|
auto compute_scal = Get<vscal, AXYNTuples<T>, platform::CPUPlace>(n);
|
|
auto compute_addbias = Get<vaddbias, AXYNTuples<T>, platform::CPUPlace>(n);
|
|
auto compute_sigmoid = Get<vsigmoid, XYNTuples<T>, platform::CPUPlace>(n);
|
|
compute_scal(&a, x, y, n);
|
|
compute_sigmoid(y, y, n);
|
|
compute_scal(&a, y, y, n);
|
|
compute_addbias(&b, y, y, n);
|
|
}
|
|
|
|
template <>
|
|
bool VSigmoidKernel<float>::UseMe(int d) const {
|
|
return true;
|
|
}
|
|
|
|
template <>
|
|
bool VTanhKernel<float>::UseMe(int d) const {
|
|
return true;
|
|
}
|
|
|
|
#define AWALYS_USE_ME_WITH_DOUBLE(func) \
|
|
template <> \
|
|
bool func##Kernel<double>::UseMe(int d) const { \
|
|
return true; \
|
|
}
|
|
|
|
AWALYS_USE_ME_WITH_DOUBLE(VSigmoid);
|
|
AWALYS_USE_ME_WITH_DOUBLE(VTanh);
|
|
|
|
#undef AWALYS_USE_ME_WITH_DOUBLE
|
|
|
|
} // namespace mix
|
|
} // namespace more
|
|
} // namespace jit
|
|
} // namespace operators
|
|
} // namespace paddle
|
|
|
|
namespace mix = paddle::operators::jit::more::mix;
|
|
|
|
#define REGISTER_MORE_KERNEL(key, func) \
|
|
REGISTER_JITKERNEL_MORE(key, mix, mix::func##Kernel<float>, \
|
|
mix::func##Kernel<double>)
|
|
|
|
REGISTER_MORE_KERNEL(vsigmoid, VSigmoid);
|
|
REGISTER_MORE_KERNEL(vtanh, VTanh);
|
|
|
|
#undef REGISTER_MORE_KERNEL
|