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cudnn5 branch for tx2

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This commit is contained in:
Francesco Gatti
2017-07-14 11:11:51 +02:00
parent 33513468e6
commit e4df86a07c
9 changed files with 49 additions and 276 deletions
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src/Activation.cpp
+19 -17
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@@ -5,7 +5,7 @@
namespace tkDNN {
Activation::Activation(Network *net, dataDim_t input_dim, tkdnnActivationMode_t act_mode) :
Activation::Activation(Network *net, dataDim_t input_dim, cudnnActivationMode_t act_mode) :
Layer(net, input_dim) {
this->act_mode = act_mode;
@@ -23,6 +23,13 @@ Activation::Activation(Network *net, dataDim_t input_dim, tkdnnActivationMode_t
input_dim.n*input_dim.l,
input_dim.c,
input_dim.h, input_dim.w) );
checkCUDNN( cudnnCreateActivationDescriptor(&activDesc) );
checkCUDNN( cudnnSetActivationDescriptor(activDesc,
act_mode,
CUDNN_PROPAGATE_NAN,
0.0) );
}
Activation::~Activation() {
@@ -32,22 +39,17 @@ Activation::~Activation() {
value_type* Activation::infer(dataDim_t &dim, value_type* srcData) {
if(act_mode == ACTIVATION_ELU) {
activationELUForward(srcData, dstData, dim.tot());
} else {
value_type alpha = value_type(1);
value_type beta = value_type(0);
checkCUDNN( cudnnActivationForward(net->cudnnHandle,
cudnnActivationMode_t(act_mode),
&alpha,
srcTensorDesc,
srcData,
&beta,
dstTensorDesc,
dstData) );
}
value_type alpha = value_type(1);
value_type beta = value_type(0);
checkCUDNN( cudnnActivationForward(net->cudnnHandle,
activDesc,
&alpha,
srcTensorDesc,
srcData,
&beta,
dstTensorDesc,
dstData) );
return dstData;
}
}
}