network.cpp File Reference

Source file defining methods of the Network class. More...

#include "../../include/network.h"
#include "../gpu/allocation_gpu.cuh"
#include "runtime.h"
#include <algorithm>
#include <chrono>
#include <cmath>
#include <ctime>
#include <exceptions/size_mismatch_exception.h>
#include <iomanip>
#include <iostream>
#include <map>
#include <utils/printing.h>
#include <verify.cuh>

Classes
struct	EpochProgress
	Structure to contain information about the current epoch. More...

Functions
std::ostream &	operator<< (std::ostream &stream, const EpochProgress &epochProgress)
	A toString() method for EpochProgress. More...
std::vector< sTensor >	splitIntoBatches (const sTensor &data, size_t batchSize)
	Split the input matrix into batches. More...

Detailed Description

Source file defining methods of the Network class.

Author

Jan Warchocki

Date

03 March 2022

Function Documentation

operator<<()

std::ostream& operator<<	(	std::ostream &	stream,
		const EpochProgress &	epochProgress
	)

A toString() method for EpochProgress.

Parameters

stream	The stream to append the string representation of EpochProgress to.
epochProgress	The EpochProgress object to display.

Returns

The string representation of the desired EpochProgress object.

splitIntoBatches()

std::vector<sTensor> splitIntoBatches	(	const sTensor &	data,
		size_t	batchSize
	)

Split the input matrix into batches.

It is assumed that the data samples are row-aligned. Therefore, to split into batches, the input matrix is divided along the row axis, so that the data samples are not split.

For example, when splitting the following matrix using batchSize = 2:

[[1, 1],
 [2, 2],
 [3, 3],
 [4, 4]]

We get as the result a vector of the following two matrices:

[[1, 1],
 [2, 2]]

[[3, 3],
 [4, 4]]

If the size of data is not divisible by batchSize, the last batch will be smaller than the rest.

Parameters

data	The matrix to split into batches.
batchSize	The size of the batch to split on.

Returns

The vector of batches.