L1 APIs¶
MLP¶
The basic components of the FCN are defined in the template class FCN. Frequent used activation functions are also implemented.
namespace mlp¶
// classes template < typename t_FloatType, typename t_XDataType, unsigned int t_DdrWidth, unsigned int t_XDdrWidth, unsigned int t_aColMemWords = 1, unsigned int t_aRowMemWords = 1, unsigned int t_bColMemWords = 1, unsigned int t_maxWSize = 0, unsigned int t_maxBSize = 0 > class Fcn
relu¶
#include "mlp/activations.hpp"
template <typename t_DataType> t_DataType relu (t_DataType x)
relu (rectified linear unit) is a very common activation function in deep neural network
Parameters:
x | is the input value |
sigmoid¶
#include "mlp/activations.hpp"
template <typename t_DataType> t_DataType sigmoid (t_DataType x)
sigmoid function is a very common activation function in MLP
Parameters:
x | is the input value |
tansig¶
#include "mlp/activations.hpp"
template <typename t_DataType> t_DataType tansig (t_DataType x)
tansig function is used as an activation function in some MLPs
Parameters:
x | is the input value |
namespace cg¶
// classes template <typename t_DataType> class Task template <typename t_DataType> class Token
Reverse Time Migration¶
Here describes the basic components for solving wave equations by explicit FDTD method, and components for RTM. These components are further classified according to the problems’ dimentions e.g. 2D or 3D.
Data Movers¶
Data movers are implemented for kernel memory communication, dataType conversion and stream datawidth conversion.
namespace rtm¶
// classes template < int t_MaxDimZ, int t_MaxDimY, int t_HalfOrder, int t_PEZ, int t_PEX, int t_NumSM > class Domain3D template < typename t_DataType, int t_Order, int t_MaxDim = 1024, int t_MaxB = 40, int t_PE = t_Order / 2 > class RTM2D template < typename t_Domain, typename t_DataType, int t_Order, int t_MaxDimZ = 128, int t_MaxDimY = 128, int t_MaxB = 40, int t_PEZ = 1, int t_PEX = 1 > class RTM3D template < typename t_DataType, int t_Order, int t_MaxDim = 1024, int t_PE = 1 > class Stencil2D template < typename t_DataType, int t_Order, int t_MaxDimZ = 128, int t_MaxDimY = 128, int t_PEZ = 1, int t_PEX = 1 > class Stencil3D
memSelStream¶
#include "rtm/dataMover.hpp"
template < typename t_InterfaceType, typename t_DataType > void memSelStream ( unsigned int p_n, unsigned int p_k, t_InterfaceType* p_mem0, t_InterfaceType* p_mem1, hls::stream <t_DataType>& p_str )
memSelStream reads data alternatively from two memory addresses to a stream
Parameters:
t_InterfaceType | is the datatype in memory |
t_DataType | is the datatype in of the stream |
p_n | is the number of data to be read |
p_k | is the selection |
p_mem0 | is the first memory port |
p_mem1 | is the second memory port |
p_str | is the output stream |
streamSelMem¶
#include "rtm/dataMover.hpp"
template < typename t_InterfaceType, typename t_DataType > void streamSelMem ( unsigned int p_n, unsigned int p_k, t_InterfaceType* p_mem0, t_InterfaceType* p_mem1, hls::stream <t_DataType>& p_str )
streamSelMem reads write alternatively to two memory addresses from a stream
Parameters:
t_InterfaceType | is the datatype in memory |
t_DataType | is the datatype in of the stream |
p_n | is the number of data to be read |
p_k | is the selection |
p_mem0 | is the first memory port |
p_mem1 | is the second memory port |
p_str | is the input stream |