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体验新版 GitCode,发现更多精彩内容 >>
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90ab7403
编写于
3月 02, 2022
作者:
L
Lijunhui
提交者:
GitHub
3月 02, 2022
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差异文件
[KP] Activation op registration for XPU2. part 1/2 (#40002)
上级
0764fda2
变更
2
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2 changed file
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+90
-0
paddle/fluid/operators/activation_op.kps
paddle/fluid/operators/activation_op.kps
+64
-0
paddle/fluid/platform/device/xpu/xpu_op_kpfirst_list.h
paddle/fluid/platform/device/xpu/xpu_op_kpfirst_list.h
+26
-0
未找到文件。
paddle/fluid/operators/activation_op.
cu
→
paddle/fluid/operators/activation_op.
kps
浏览文件 @
90ab7403
...
...
@@ -1861,3 +1861,67 @@ REGISTER_OP_CUDA_KERNEL(
__macro(hard_swish, HardSwish, CudaHardSwishFunctor, \
CudaHardSwishGradFunctor);
FOR_EACH_ACTIVATION_CUDA_OP(REGISTER_ACTIVATION_CUDA_KERNEL)
#ifdef PADDLE_WITH_XPU_KP
#define REGISTER_ACTIVATION_XPU_KERNEL(act_type, op_name, functor, \
grad_functor) \
REGISTER_OP_KERNEL( \
act_type, KP, plat::XPUPlace, \
ops::ActivationCudaKernel<plat::XPUDeviceContext, ops::functor<float>>); \
REGISTER_OP_KERNEL(act_type##_grad, KP, plat::XPUPlace, \
ops::ActivationGradCudaKernel<plat::XPUDeviceContext, \
ops::grad_functor<float>>);
REGISTER_ACTIVATION_XPU_KERNEL(leaky_relu, LeakyRelu, CudaLeakyReluFunctor,
CudaLeakyReluGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(relu, Relu, CudaReluFunctor,
CudaReluGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(sigmoid, Sigmoid, CudaSigmoidFunctor,
CudaSigmoidGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(exp, Exp, CudaExpFunctor, CudaExpGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(log, Log, CudaLogFunctor, CudaLogGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(reciprocal, Reciprocal, CudaReciprocalFunctor,
CudaReciprocalGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(softplus, Softplus, CudaSoftplusFunctor,
CudaSoftplusGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(hard_swish, HardSwish, CudaHardSwishFunctor,
CudaHardSwishGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(elu, Elu, CudaELUFunctor, CudaELUGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(celu, Celu, CudaCELUFunctor,
CudaCELUGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(sqrt, Sqrt, CudaSqrtFunctor,
CudaSqrtGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(square, Square, CudaSquareFunctor,
CudaSquareGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(silu, Silu, CudaSiluFunctor,
CudaSiluGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(logsigmoid, LogSigmoid, CudaLogSigmoidFunctor,
CudaLogSigmoidGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(softshrink, SoftShrink, CudaSoftShrinkFunctor,
CudaSoftShrinkGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(ceil, Ceil, CudaCeilFunctor,
CudaZeroGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(floor, Floor, CudaFloorFunctor,
CudaZeroGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(log1p, Log1p, CudaLog1pFunctor,
CudaLog1pGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(brelu, BRelu, CudaBReluFunctor,
CudaBReluGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(soft_relu, SoftRelu, CudaSoftReluFunctor,
CudaSoftReluGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(softsign, Softsign, CudaSoftsignFunctor,
CudaSoftsignGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(relu6, Relu6, CudaRelu6Functor,
CudaRelu6GradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(hard_shrink, HardShrink, CudaHardShrinkFunctor,
CudaHardShrinkGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(hard_sigmoid, HardSigmoid,
CudaHardSigmoidFunctor,
CudaHardSigmoidGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(swish, Swish, CudaSwishFunctor,
CudaSwishGradFunctor);
REGISTER_ACTIVATION_XPU_KERNEL(thresholded_relu, ThresholdedRelu,
CudaThresholdedReluFunctor,
CudaThresholdedReluGradFunctor);
#endif // PADDLE_WITH_XPU_KP
paddle/fluid/platform/device/xpu/xpu_op_kpfirst_list.h
浏览文件 @
90ab7403
...
...
@@ -30,6 +30,32 @@ XPUOpMap& get_kp_ops() {
static
XPUOpMap
s_xpu_kp_kernels
{
{
"elementwise_add"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
// activation op
{
"exp"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"hard_swish"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"leaky_relu"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"softplus"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"reciprocal"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"log"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"sigmoid"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"relu"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"elu"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"celu"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"sqrt"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"square"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"silu"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"logsigmoid"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"softshrink"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"ceil"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"floor"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"log1p"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"brelu"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"soft_relu"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"softsign"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"relu6"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"hard_shrink"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
{
"hard_sigmoid"
,
XPUKernelSet
({
pOpKernelType
(
vartype
::
FP32
,
XPUPlace
())})},
};
return
s_xpu_kp_kernels
;
...
...
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