1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
|
#include "caffe2/quantization/server/elementwise_dnnlowp_op.h"
#include "caffe2/quantization/server/tanh.h"
namespace caffe2 {
using namespace dnnlowp;
template <typename T>
class TanhFunctor {
public:
explicit TanhFunctor() : tanh_() {}
inline void operator()(const int n, const T* x, T* y) {
for (int i = 0; i < n; ++i) {
y[i] = tanh_.Compute(x[i]);
}
}
TensorQuantizationParams GetOutputQuantizationParams() const {
return tanh_.GetOutputQuantizationParams();
}
private:
Tanh<T> tanh_;
};
REGISTER_CPU_OPERATOR_WITH_ENGINE(
Tanh,
DNNLOWP,
UnaryElementwiseWithArgsDNNLowPOp<std::uint8_t, TanhFunctor<std::uint8_t>>);
REGISTER_CPU_OPERATOR_WITH_ENGINE(
Int8Tanh,
DNNLOWP,
UnaryElementwiseWithArgsDNNLowPOp<std::uint8_t, TanhFunctor<std::uint8_t>>);
} // namespace caffe2
|
