/* Copyright (c) 2022 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/phi/kernels/activation_kernel.h" #include "paddle/phi/backends/cpu/cpu_context.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/funcs/activation_functor.h" #include "paddle/phi/kernels/impl/activation_impl.h" namespace phi { #define DEFINE_CPU_ACTIVATION_KERNEL(name, functor_class) \ template \ void name##Kernel( \ const Context& dev_ctx, const DenseTensor& x, DenseTensor* out) { \ funcs::functor_class functor; \ ActivationImpl>( \ dev_ctx, x, out, functor); \ } #define DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(name, functor_class, attr) \ template \ void name##Kernel(const Context& dev_ctx, \ const DenseTensor& x, \ float attr, \ DenseTensor* out) { \ funcs::functor_class functor; \ auto attrs = functor.GetAttrs(); \ *(attrs[0].second) = attr; \ ActivationImpl>( \ dev_ctx, x, out, functor); \ } #define DEFINE_CPU_ACT_KERNEL_WITH_TWO_ATTRS( \ name, functor_class, attr1, attr2) \ template \ void name##Kernel(const Context& dev_ctx, \ const DenseTensor& x, \ float attr1, \ float attr2, \ DenseTensor* out) { \ funcs::functor_class functor; \ auto attrs = functor.GetAttrs(); \ *(attrs[0].second) = attr1; \ *(attrs[1].second) = attr2; \ ActivationImpl>( \ dev_ctx, x, out, functor); \ } DEFINE_CPU_ACTIVATION_KERNEL(Sin, SinFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Cos, CosFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Tan, TanFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Asin, AsinFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Atan, AtanFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Acos, AcosFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Sinh, SinhFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Cosh, CoshFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Asinh, AsinhFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Acosh, AcoshFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Atanh, AtanhFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Relu, ReluCPUFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Tanh, TanhFunctor) DEFINE_CPU_ACTIVATION_KERNEL(TanhShrink, TanhShrinkFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Silu, SiluFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Exp, ExpFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Expm1, Expm1Functor) DEFINE_CPU_ACTIVATION_KERNEL(Reciprocal, ReciprocalFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Square, SquareFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Sqrt, SqrtFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Rsqrt, RsqrtFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Softsign, SoftsignFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Sigmoid, SigmoidFunctor) DEFINE_CPU_ACTIVATION_KERNEL(LogSigmoid, LogSigmoidFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Log, LogFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Log2, Log2Functor) DEFINE_CPU_ACTIVATION_KERNEL(Log10, Log10Functor) DEFINE_CPU_ACTIVATION_KERNEL(Log1p, Log1pFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Round, RoundFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Floor, FloorFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Ceil, CeilFunctor) DEFINE_CPU_ACTIVATION_KERNEL(Negative, NegativeFunctor) DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(LeakyRelu, LeakyReluFunctor, alpha) DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(ThresholdedRelu, ThresholdedReluFunctor, threshold) DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(Relu6, Relu6Functor, threshold) DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(Mish, MishFunctor, threshold) DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(HardShrink, HardShrinkFunctor, threshold) DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(SoftShrink, SoftShrinkFunctor, lambda) DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(Elu, ELUFunctor, alpha) DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(Swish, SwishFunctor, beta) DEFINE_CPU_ACT_KERNEL_WITH_ONE_ATTRS(Celu, CELUFunctor, alpha) DEFINE_CPU_ACT_KERNEL_WITH_TWO_ATTRS(BRelu, BReluFunctor, t_min, t_max) DEFINE_CPU_ACT_KERNEL_WITH_TWO_ATTRS(STanh, STanhFunctor, scale_a, scale_b) DEFINE_CPU_ACT_KERNEL_WITH_TWO_ATTRS(Softplus, SoftplusFunctor, beta, threshold) DEFINE_CPU_ACT_KERNEL_WITH_TWO_ATTRS(HardSigmoid, HardSigmoidFunctor, slope, offset) template void HardSwishKernel(const Context& dev_ctx, const DenseTensor& x, float threshold, float scale, float offset, DenseTensor* out) { funcs::HardSwishFunctor functor; auto attrs = functor.GetAttrs(); *(attrs[0].second) = threshold; *(attrs[1].second) = scale; *(attrs[2].second) = offset; ActivationImpl>( dev_ctx, x, out, functor); } } // namespace phi PD_REGISTER_KERNEL(relu, CPU, ALL_LAYOUT, phi::ReluKernel, float, double) {} #define PD_REGISTER_ACTIVATION_KERNEL(name, func) \ PD_REGISTER_KERNEL(name, CPU, ALL_LAYOUT, phi::func, float, double) {} PD_REGISTER_ACTIVATION_KERNEL(sin, SinKernel) PD_REGISTER_ACTIVATION_KERNEL(cos, CosKernel) PD_REGISTER_ACTIVATION_KERNEL(tan, TanKernel) PD_REGISTER_ACTIVATION_KERNEL(acos, AcosKernel) PD_REGISTER_ACTIVATION_KERNEL(asin, AsinKernel) PD_REGISTER_ACTIVATION_KERNEL(atan, AtanKernel) PD_REGISTER_ACTIVATION_KERNEL(sinh, SinhKernel) PD_REGISTER_ACTIVATION_KERNEL(cosh, CoshKernel) PD_REGISTER_ACTIVATION_KERNEL(asinh, AsinhKernel) PD_REGISTER_ACTIVATION_KERNEL(acosh, AcoshKernel) PD_REGISTER_ACTIVATION_KERNEL(atanh, AtanhKernel) PD_REGISTER_ACTIVATION_KERNEL(tanh, TanhKernel) PD_REGISTER_ACTIVATION_KERNEL(brelu, BReluKernel) PD_REGISTER_ACTIVATION_KERNEL(leaky_relu, LeakyReluKernel) PD_REGISTER_ACTIVATION_KERNEL(thresholded_relu, ThresholdedReluKernel) PD_REGISTER_ACTIVATION_KERNEL(relu6, Relu6Kernel) PD_REGISTER_ACTIVATION_KERNEL(hard_shrink, HardShrinkKernel) PD_REGISTER_ACTIVATION_KERNEL(soft_shrink, SoftShrinkKernel) PD_REGISTER_ACTIVATION_KERNEL(tanh_shrink, TanhShrinkKernel) PD_REGISTER_ACTIVATION_KERNEL(elu, EluKernel) PD_REGISTER_ACTIVATION_KERNEL(silu, SiluKernel) PD_REGISTER_ACTIVATION_KERNEL(mish, MishKernel) PD_REGISTER_ACTIVATION_KERNEL(stanh, STanhKernel) PD_REGISTER_ACTIVATION_KERNEL(reciprocal, ReciprocalKernel) PD_REGISTER_ACTIVATION_KERNEL(sqrt, SqrtKernel) PD_REGISTER_ACTIVATION_KERNEL(rsqrt, RsqrtKernel) PD_REGISTER_ACTIVATION_KERNEL(softplus, SoftplusKernel) PD_REGISTER_KERNEL( exp, CPU, ALL_LAYOUT, phi::ExpKernel, float, double, int, int64_t) {} PD_REGISTER_KERNEL(expm1, CPU, ALL_LAYOUT, phi::Expm1Kernel, float, double, phi::dtype::float16) {} PD_REGISTER_KERNEL(logit, CPU, ALL_LAYOUT, phi::LogitKernel, float, double) {} PD_REGISTER_KERNEL( square, CPU, ALL_LAYOUT, phi::SquareKernel, float, double, int, int64_t) {} PD_REGISTER_ACTIVATION_KERNEL(softsign, SoftsignKernel) PD_REGISTER_ACTIVATION_KERNEL(sigmoid, SigmoidKernel) PD_REGISTER_ACTIVATION_KERNEL(logsigmoid, LogSigmoidKernel) PD_REGISTER_ACTIVATION_KERNEL(hard_sigmoid, HardSigmoidKernel) PD_REGISTER_ACTIVATION_KERNEL(log, LogKernel) PD_REGISTER_ACTIVATION_KERNEL(log2, Log2Kernel) PD_REGISTER_ACTIVATION_KERNEL(log10, Log10Kernel) PD_REGISTER_ACTIVATION_KERNEL(log1p, Log1pKernel) PD_REGISTER_ACTIVATION_KERNEL(hard_swish, HardSwishKernel) PD_REGISTER_ACTIVATION_KERNEL(swish, SwishKernel) PD_REGISTER_ACTIVATION_KERNEL(round, RoundKernel) PD_REGISTER_ACTIVATION_KERNEL(floor, FloorKernel) PD_REGISTER_ACTIVATION_KERNEL(ceil, CeilKernel) PD_REGISTER_KERNEL(negative, CPU, ALL_LAYOUT, phi::NegativeKernel, float, double, int16_t, int, int64_t) {} PD_REGISTER_ACTIVATION_KERNEL(celu, CeluKernel) PD_REGISTER_KERNEL( pow, CPU, ALL_LAYOUT, phi::PowKernel, float, double, int, int64_t) {}