/usr/include/torch/TemporalConvolution.h is in libtorch3-dev 3.1-2.1build1.
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//
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#ifndef TEMPORAL_CONVOLUTION_INC
#define TEMPORAL_CONVOLUTION_INC
#include "GradientMachine.h"
namespace Torch {
/** Class for doing a convolution over a sequence.
For each component of output frames, it computes the convolution
of the input sequence with a kernel of size #k_w# (over the time).
Note that, depending of the size of your kernel, several (last) frames
of the input sequence could be lost.
Note also that \emph{no} non-linearity is applied in this layer.
@author Ronan Collobert (collober@idiap.ch)
*/
class TemporalConvolution : public GradientMachine
{
public:
/// Kernel size.
int k_w;
/// Time translation after one application of the kernel.
int d_t;
/** #weights[i]# means kernel-weights for the #i#-th component of output frames.
#weights[i]# contains #input_frame_size# times #k_w# weights.
*/
real **weights;
/// Derivatives associated to #weights#.
real **der_weights;
/// #biases[i]# is the bias for the #i#-th component of output frames.
real *biases;
/// Derivatives associated to #biases#.
real *der_biases;
/// Create a convolution layer...
TemporalConvolution(int input_frame_size, int output_frame_size, int k_w_=5, int d_t_=1);
//-----
void reset_();
virtual void reset();
virtual void forward(Sequence *inputs);
virtual void backward(Sequence *inputs, Sequence *alpha);
virtual ~TemporalConvolution();
};
}
#endif
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