Multiinstance graph that stores weights and biases, chunks BCHW by C dimension, maximum 8 chunks. More...

#include <graph_qlinearconv.h>

Inherits adf::graph.

Public Member Functions
void	init_helper (TT x_zero)

	QLinearConvChunkCGraph (std::vector< TTPARAM > weights, std::vector< int32_t > bias, float x_scale, float w_scale, float y_scale, TT x_zero, TTPARAM w_zero, TT y_zero)

	QLinearConvChunkCGraph (std::vector< int32_t > bias, float x_scale, float w_scale, float y_scale, TT x_zero, TTPARAM w_zero, TT y_zero)

Public Attributes
adf::kernel	k [LCNT]

std::vector< adf::port< adf::input > >	pin

adf::port< adf::output >	pout [1]

Static Public Attributes
static constexpr int	LCNT = C / CCHUNK

Detailed Description

template<template< typename, typename, int, int, int, int, int, int, int, int, int, int, int, int > class QLINEARCONV0, template< typename, typename, int, int, int, int, int, int, int, int, int, int, int, int > class QLINEARCONV1, template< typename, typename, int, int, int, int, int, int, int, int, int, int, int, int > class QLINEARCONV2, template< typename, int, int, int, int > class CONCAT, int CCHUNK, typename TT, typename TTPARAM, int INP_H, int INP_W, int INP_W_PAD, int OUT_W, int OUT_W_PAD, int STEP_H, int STEP_W, int B, int C, int M, int KH, int KW, int GROUP, int H0 = 0, int H1 = 0, int W0 = 0, int W1 = 0>
class QLinearConvChunkCGraph< QLINEARCONV0, QLINEARCONV1, QLINEARCONV2, CONCAT, CCHUNK, TT, TTPARAM, INP_H, INP_W, INP_W_PAD, OUT_W, OUT_W_PAD, STEP_H, STEP_W, B, C, M, KH, KW, GROUP, H0, H1, W0, W1 >

<dl class=

<td class=

The documentation for this class was generated from the following file:

design/aie_src/graph_qlinearconv.h

Public Member Functions

Public Attributes

Static Public Attributes

Detailed Description