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RADL
Deeplearning
Commits
d21ef66b
Commit
d21ef66b
authored
Mar 18, 2023
by
Gabriel Falk
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d21ef66b
#include
<stdio.h>
#include
<stdlib.h>
#include
<time.h>
#include
<iostream>
#include
<math.h>
#include
<assert.h>
struct
matrix
{
float
*
head
;
int
sizeX
;
int
sizeY
;
};
//RESHAPE bzw. CONSTRUCT with Zeroes
matrix
createMx
(
int
sizeX
,
int
sizeY
)
{
matrix
mx
;
mx
.
sizeX
=
sizeX
;
mx
.
sizeY
=
sizeY
;
mx
.
head
=
(
float
*
)
malloc
(
sizeX
*
sizeY
*
sizeof
(
float
));
for
(
int
i
=
0
;
i
<
sizeX
*
sizeY
;
i
++
){
mx
.
head
[
i
]
=
(
float
)
0
;
}
return
mx
;
}
void
destroyMx
(
matrix
x
){
free
(
x
.
head
);
}
// creates 1 Matrix
matrix
cutMx
(
matrix
data
,
int
dcol
,
int
drow
,
int
sizeX
,
int
sizeY
)
{
//Null indiziert
matrix
slice
=
createMx
(
sizeX
,
sizeY
);
int
start
=
dcol
+
drow
*
data
.
sizeX
;
for
(
int
i
=
0
;
i
<
(
sizeX
*
sizeY
);
i
++
)
{
int
col
=
i
%
sizeX
;
int
row
=
i
/
sizeX
;
slice
.
head
[
i
]
=
data
.
head
[
start
+
col
+
row
*
data
.
sizeX
];
}
return
slice
;
}
// creates 1 Matrix
matrix
getConvMx
(
matrix
filter
,
int
inputSizeX
,
int
inputSizeY
){
int
sizeInput
=
inputSizeX
*
inputSizeY
;
int
kernelUsesX
=
inputSizeX
-
filter
.
sizeX
+
1
;
int
kernelUsesY
=
inputSizeY
-
filter
.
sizeY
+
1
;
int
kernelUsesAA
=
kernelUsesX
*
kernelUsesY
;
matrix
res
=
createMx
(
sizeInput
,
kernelUsesAA
);
for
(
int
i
=
0
;
i
<
kernelUsesAA
;
i
++
){
int
Yshift
=
i
/
kernelUsesX
;
int
Xshift
=
i
%
kernelUsesX
;
for
(
int
j
=
0
;
j
<
(
filter
.
sizeX
*
filter
.
sizeY
);
j
++
){
res
.
head
[(
sizeInput
*
i
)
+
(
inputSizeX
*
Yshift
+
Xshift
)
+
(
j
%
filter
.
sizeX
+
(
j
/
filter
.
sizeX
)
*
inputSizeX
)]
=
filter
.
head
[
j
];
}
}
return
res
;
}
// creates 1 Matrix
matrix
zeroPadd
(
matrix
a
,
int
sizeX
,
int
sizeY
){
matrix
t
=
createMx
(
sizeX
,
sizeY
);
for
(
int
i
=
0
;
i
<
t
.
sizeX
*
t
.
sizeY
;
i
++
){
int
r
=
i
/
t
.
sizeX
;
int
c
=
i
%
t
.
sizeX
;
if
(
r
<
a
.
sizeY
&&
c
<
a
.
sizeX
){
t
.
head
[
r
*
t
.
sizeX
+
c
]
=
a
.
head
[
r
*
a
.
sizeX
+
c
];
}
else
{
t
.
head
[
r
*
t
.
sizeX
+
c
]
=
(
float
)
0
;
}
}
return
t
;
}
// creates a Mx with rdm values
// creates 1 Matrix
matrix
getrdmMx
(
int
sizeX
,
int
sizeY
){
matrix
r
=
createMx
(
sizeX
,
sizeY
);
srand
((
unsigned
int
)
time
(
NULL
));
for
(
int
i
=
0
;
i
<
(
sizeX
*
sizeY
);
i
++
){
r
.
head
[
i
]
=
((
float
)
rand
()
/
(
float
)(
RAND_MAX
));
}
return
r
;
}
//PRINT
void
printMx
(
matrix
data
)
{
printf
(
"["
);
for
(
int
i
=
0
;
i
<
(
data
.
sizeX
*
data
.
sizeY
);
i
++
)
{
if
(
i
%
data
.
sizeX
==
0
&&
i
!=
0
)
printf
(
" "
);
if
(
i
%
data
.
sizeX
==
0
)
printf
(
"["
);
if
(
i
%
data
.
sizeX
!=
0
)
printf
(
", "
);
printf
(
"%f"
,
data
.
head
[
i
]);
if
(
i
%
data
.
sizeX
==
data
.
sizeX
-
1
)
printf
(
"]"
);
if
(
i
%
data
.
sizeX
==
data
.
sizeX
-
1
&&
i
!=
(
data
.
sizeX
)
*
(
data
.
sizeY
)
-
1
)
printf
(
";
\n
"
);
}
printf
(
"]
\n\n
"
);
}
//MATRIX EDIT
// creates 1 Matrix
matrix
transpose
(
matrix
a
){
matrix
t
=
createMx
(
a
.
sizeY
,
a
.
sizeX
);
for
(
int
i
=
0
;
i
<
t
.
sizeY
;
i
++
){
for
(
int
j
=
0
;
j
<
t
.
sizeX
;
j
++
){
t
.
head
[
i
*
t
.
sizeX
+
j
]
=
a
.
head
[
j
*
a
.
sizeX
+
i
];
}
}
return
t
;
}
//MATRIX OPS
// creates 1 Matrix
matrix
pointMulMx
(
matrix
a
,
matrix
b
)
{
//Assert: a.sizeX == b.sizeX && a.sizeY == b.sizeY
if
(
a
.
sizeX
!=
b
.
sizeX
||
a
.
sizeY
!=
b
.
sizeY
)
return
createMx
(
0
,
0
);
matrix
c
=
createMx
(
a
.
sizeX
,
a
.
sizeY
);
for
(
int
i
=
0
;
i
<
(
a
.
sizeX
*
a
.
sizeY
);
i
++
)
{
c
.
head
[
i
]
=
a
.
head
[
i
]
*
b
.
head
[
i
];
}
return
c
;
}
float
scalMulMx
(
matrix
a
,
matrix
b
)
{
//Assert: a.sizeX == b.sizeX && a.sizeY == b.sizeY
if
(
a
.
sizeX
!=
b
.
sizeX
||
a
.
sizeY
!=
b
.
sizeY
)
return
0.0
;
float
sum
=
0
;
for
(
int
i
=
0
;
i
<
(
a
.
sizeX
*
a
.
sizeY
);
i
++
)
{
sum
=
sum
+
a
.
head
[
i
]
*
b
.
head
[
i
];
}
return
sum
;
}
float
sumMx
(
matrix
data
)
{
float
sum
=
0
;
for
(
int
i
=
0
;
i
<
(
data
.
sizeX
*
data
.
sizeY
);
i
++
)
{
sum
=
sum
+
data
.
head
[
i
];
}
return
sum
;
}
// creates 1 Matrix
matrix
scale
(
matrix
a
,
float
b
){
matrix
c
=
createMx
(
a
.
sizeX
,
a
.
sizeY
);
for
(
int
i
=
0
;
i
<
a
.
sizeX
*
a
.
sizeY
;
i
++
){
c
.
head
[
i
]
=
b
*
a
.
head
[
i
];
}
return
c
;
}
//CPU OPS
// creates 1 Matrix
matrix
avg2Pooling
(
matrix
data
)
{
//Assert X & Y of data %2 == 0
matrix
avg
=
createMx
(
data
.
sizeX
/
2
,
data
.
sizeY
/
2
);
for
(
int
i
=
0
;
i
<
(
avg
.
sizeX
*
avg
.
sizeY
);
i
++
)
{
avg
.
head
[
i
]
=
(
data
.
head
[
2
*
i
+
(
i
/
avg
.
sizeX
)
*
data
.
sizeX
]
+
data
.
head
[
2
*
i
+
(
i
/
avg
.
sizeX
)
*
data
.
sizeX
+
1
]
+
data
.
head
[
2
*
i
+
((
i
/
avg
.
sizeX
)
+
1
)
*
data
.
sizeX
]
+
data
.
head
[
2
*
i
+
((
i
/
avg
.
sizeX
)
+
1
)
*
data
.
sizeX
+
1
])
/
4
;
}
return
avg
;
}
// creates 1 Matrix
matrix
conv2d
(
matrix
img
,
matrix
filter
)
{
//Info: 1 filter, func: tanh
//Assert?
matrix
res
=
createMx
(
img
.
sizeX
-
filter
.
sizeX
+
1
,
img
.
sizeY
-
filter
.
sizeY
+
1
);
for
(
int
i
=
0
;
i
<
(
res
.
sizeX
*
res
.
sizeY
);
i
++
)
{
int
col
=
i
%
res
.
sizeX
;
int
row
=
i
/
res
.
sizeX
;
res
.
head
[
i
]
=
(
scalMulMx
(
cutMx
(
img
,
col
,
row
,
filter
.
sizeX
,
filter
.
sizeY
),
filter
));
}
return
res
;
}
// creates 1 Matrix
matrix
mulMx
(
matrix
a
,
matrix
b
)
{
assert
(
a
.
sizeX
==
b
.
sizeY
);
matrix
c
=
createMx
(
b
.
sizeX
,
a
.
sizeY
);
for
(
int
i
=
0
;
i
<
(
c
.
sizeX
*
c
.
sizeY
);
i
++
)
{
int
col
=
i
%
c
.
sizeX
;
int
row
=
i
/
c
.
sizeX
;
float
sum
=
0.0
;
for
(
int
j
=
0
;
j
<
a
.
sizeX
;
j
++
)
{
sum
=
sum
+
a
.
head
[
row
*
a
.
sizeX
+
j
]
*
b
.
head
[
col
+
b
.
sizeX
*
j
];
}
c
.
head
[
i
]
=
(
float
)
sum
;
//printf("Sum: %f;\n", c.head[i]);
}
return
c
;
}
//MATRIZEN all create 1 Matrix
matrix
get2x2mat
(){
matrix
t
=
createMx
(
2
,
2
);
for
(
int
i
=
1
;
i
<
5
;
i
++
){
t
.
head
[
i
-
1
]
=
((
float
)
i
);
}
return
t
;
}
matrix
get3x3mat
(){
matrix
t
=
createMx
(
3
,
3
);
for
(
int
i
=
1
;
i
<
10
;
i
++
){
t
.
head
[
i
-
1
]
=
((
float
)
i
);
}
return
t
;
}
matrix
get3x3onesmat
(){
matrix
t
=
createMx
(
3
,
3
);
for
(
int
i
=
0
;
i
<
9
;
i
++
){
t
.
head
[
i
]
=
(
float
)
1
;
}
return
t
;
}
matrix
get3x3edgemat
(){
matrix
f
=
createMx
(
3
,
3
);
f
.
head
[
0
]
=
1.0
;
f
.
head
[
3
]
=
1.0
;
f
.
head
[
6
]
=
1.0
;
f
.
head
[
1
]
=
0.0
;
f
.
head
[
4
]
=
0.0
;
f
.
head
[
7
]
=
0.0
;
f
.
head
[
2
]
=
-
1.0
;
f
.
head
[
5
]
=
-
1.0
;
f
.
head
[
8
]
=
-
1.0
;
return
f
;
}
matrix
get4x4mat
(){
matrix
t
=
createMx
(
4
,
4
);
for
(
int
i
=
0
;
i
<
16
;
i
++
){
t
.
head
[
i
]
=
((
float
)
i
);
}
return
t
;
}
matrix
get5x5onesmat
(){
matrix
t
=
createMx
(
5
,
5
);
for
(
int
i
=
0
;
i
<
25
;
i
++
){
t
.
head
[
i
]
=
(
float
)
1
;
}
return
t
;
}
matrix
get6x6stdmat
(){
matrix
x
=
createMx
(
6
,
6
);
x
.
head
[
0
]
=
4.0
;
x
.
head
[
1
]
=
9.0
;
x
.
head
[
2
]
=
2.0
;
x
.
head
[
3
]
=
5.0
;
x
.
head
[
4
]
=
8.0
;
x
.
head
[
5
]
=
3.0
;
x
.
head
[
6
]
=
5.0
;
x
.
head
[
7
]
=
6.0
;
x
.
head
[
8
]
=
2.0
;
x
.
head
[
9
]
=
4.0
;
x
.
head
[
10
]
=
0.0
;
x
.
head
[
11
]
=
3.0
;
x
.
head
[
12
]
=
2.0
;
x
.
head
[
13
]
=
4.0
;
x
.
head
[
14
]
=
5.0
;
x
.
head
[
15
]
=
4.0
;
x
.
head
[
16
]
=
5.0
;
x
.
head
[
17
]
=
2.0
;
x
.
head
[
18
]
=
5.0
;
x
.
head
[
19
]
=
6.0
;
x
.
head
[
20
]
=
5.0
;
x
.
head
[
21
]
=
4.0
;
x
.
head
[
22
]
=
7.0
;
x
.
head
[
23
]
=
8.0
;
x
.
head
[
24
]
=
5.0
;
x
.
head
[
25
]
=
7.0
;
x
.
head
[
26
]
=
7.0
;
x
.
head
[
27
]
=
9.0
;
x
.
head
[
28
]
=
2.0
;
x
.
head
[
29
]
=
1.0
;
x
.
head
[
30
]
=
5.0
;
x
.
head
[
31
]
=
8.0
;
x
.
head
[
32
]
=
5.0
;
x
.
head
[
33
]
=
3.0
;
x
.
head
[
34
]
=
8.0
;
x
.
head
[
35
]
=
4.0
;
return
x
;
}
matrix
get7x7onesmat
(){
matrix
t
=
createMx
(
7
,
7
);
for
(
int
i
=
0
;
i
<
49
;
i
++
){
t
.
head
[
i
]
=
(
float
)
1
;
}
return
t
;
}
//Fractures
matrix
get5x5fracmat
(){
matrix
w
=
createMx
(
5
,
5
);
for
(
int
i
=
0
;
i
<
25
;
i
++
){
w
.
head
[
i
]
=
((
float
)
i
)
/
5
;
}
return
w
;
}
matrix
get1x10fracmat
(){
matrix
i
=
createMx
(
1
,
10
);
for
(
int
j
=
0
;
j
<
10
;
j
++
){
i
.
head
[
j
]
=
((
float
)
j
)
/
10
;
}
return
i
;
}
matrix
get10x10fracmat
(){
matrix
w
=
createMx
(
10
,
10
);
for
(
int
i
=
0
;
i
<
100
;
i
++
){
w
.
head
[
i
]
=
((
float
)
i
)
/
100
;
}
return
w
;
}
matrix
get16x16fracmat
(){
matrix
t
=
createMx
(
16
,
16
);
for
(
int
i
=
0
;
i
<
256
;
i
++
){
t
.
head
[
i
]
=
((
float
)
i
)
/
100
;
}
return
t
;
}
//WINOGRAD(5,2)
matrix
get5x6WiG
(){
matrix
x
=
createMx
(
5
,
6
);
x
.
head
[
0
]
=
0.25
;
x
.
head
[
1
]
=
0.0
;
x
.
head
[
2
]
=
0.0
;
x
.
head
[
3
]
=
0.0
;
x
.
head
[
4
]
=
0.0
;
x
.
head
[
5
]
=
(
-
1.0
/
6.0
);
x
.
head
[
6
]
=
(
-
1.0
/
6.0
);
x
.
head
[
7
]
=
(
-
1.0
/
6.0
);
x
.
head
[
8
]
=
(
-
1.0
/
6.0
);
x
.
head
[
9
]
=
(
-
1.0
/
6.0
);
x
.
head
[
10
]
=
(
-
1.0
/
6.0
);
x
.
head
[
11
]
=
(
1.0
/
6.0
);
x
.
head
[
12
]
=
(
-
1.0
/
6.0
);
x
.
head
[
13
]
=
(
1.0
/
6.0
);
x
.
head
[
14
]
=
(
-
1.0
/
6.0
);
x
.
head
[
15
]
=
(
1.0
/
24.0
);
x
.
head
[
16
]
=
(
1.0
/
12.0
);
x
.
head
[
17
]
=
(
1.0
/
6.0
);
x
.
head
[
18
]
=
(
1.0
/
3.0
);
x
.
head
[
19
]
=
(
2.0
/
3.0
);
x
.
head
[
20
]
=
(
1.0
/
24.0
);
x
.
head
[
21
]
=
(
1.0
/-
12.0
);
x
.
head
[
22
]
=
(
1.0
/
6.0
);
x
.
head
[
23
]
=
(
-
1.0
/
3.0
);
x
.
head
[
24
]
=
(
2.0
/
3.0
);
x
.
head
[
25
]
=
0.0
;
x
.
head
[
26
]
=
0.0
;
x
.
head
[
27
]
=
0.0
;
x
.
head
[
28
]
=
0.0
;
x
.
head
[
29
]
=
1.0
;
return
x
;
}
matrix
get6x6WiB
(){
matrix
x
=
createMx
(
6
,
6
);
x
.
head
[
0
]
=
4.0
;
x
.
head
[
1
]
=
0.0
;
x
.
head
[
2
]
=
0.0
;
x
.
head
[
3
]
=
0.0
;
x
.
head
[
4
]
=
0.0
;
x
.
head
[
5
]
=
0.0
;
x
.
head
[
6
]
=
0.0
;
x
.
head
[
7
]
=
-
4.0
;
x
.
head
[
8
]
=
4.0
;
x
.
head
[
9
]
=
-
2.0
;
x
.
head
[
10
]
=
2.0
;
x
.
head
[
11
]
=
4.0
;
x
.
head
[
12
]
=
-
5.0
;
x
.
head
[
13
]
=
-
4.0
;
x
.
head
[
14
]
=
-
4.0
;
x
.
head
[
15
]
=
-
1.0
;
x
.
head
[
16
]
=
-
1.0
;
x
.
head
[
17
]
=
0.0
;
x
.
head
[
18
]
=
0.0
;
x
.
head
[
19
]
=
1.0
;
x
.
head
[
20
]
=
-
1.0
;
x
.
head
[
21
]
=
2.0
;
x
.
head
[
22
]
=
-
2.0
;
x
.
head
[
23
]
=
-
5.0
;
x
.
head
[
24
]
=
1.0
;
x
.
head
[
25
]
=
1.0
;
x
.
head
[
26
]
=
1.0
;
x
.
head
[
27
]
=
1.0
;
x
.
head
[
28
]
=
1.0
;
x
.
head
[
29
]
=
0.0
;
x
.
head
[
30
]
=
0.0
;
x
.
head
[
31
]
=
0.0
;
x
.
head
[
32
]
=
0.0
;
x
.
head
[
33
]
=
0.0
;
x
.
head
[
34
]
=
0.0
;
x
.
head
[
35
]
=
1.0
;
return
x
;
}
matrix
get2x6WiA
(){
matrix
x
=
createMx
(
2
,
6
);
x
.
head
[
0
]
=
1.0
;
x
.
head
[
1
]
=
0.0
;
x
.
head
[
2
]
=
1.0
;
x
.
head
[
3
]
=
1.0
;
x
.
head
[
4
]
=
1.0
;
x
.
head
[
5
]
=
-
1.0
;
x
.
head
[
6
]
=
1.0
;
x
.
head
[
7
]
=
2.0
;
x
.
head
[
8
]
=
1.0
;
x
.
head
[
9
]
=
-
2.0
;
x
.
head
[
10
]
=
0.0
;
x
.
head
[
11
]
=
1.0
;
return
x
;
}
//WINOGRAD(3,2)
matrix
get4x4WiB
(){
matrix
x
=
createMx
(
4
,
4
);
x
.
head
[
0
]
=
1.0
;
x
.
head
[
1
]
=
0.0
;
x
.
head
[
2
]
=
0.0
;
x
.
head
[
3
]
=
0.0
;
x
.
head
[
4
]
=
0.0
;
x
.
head
[
5
]
=
1.0
;
x
.
head
[
6
]
=
-
1.0
;
x
.
head
[
7
]
=
1.0
;
x
.
head
[
8
]
=
-
1.0
;
x
.
head
[
9
]
=
1.0
;
x
.
head
[
10
]
=
1.0
;
x
.
head
[
11
]
=
0.0
;
x
.
head
[
12
]
=
0.0
;
x
.
head
[
13
]
=
0.0
;
x
.
head
[
14
]
=
0.0
;
x
.
head
[
15
]
=
-
1.0
;
return
x
;
}
matrix
get3x4WiG
(){
matrix
x
=
createMx
(
3
,
4
);
x
.
head
[
0
]
=
1.0
;
x
.
head
[
1
]
=
0.0
;
x
.
head
[
2
]
=
0.0
;
x
.
head
[
3
]
=
0.5
;
x
.
head
[
4
]
=
0.5
;
x
.
head
[
5
]
=
0.5
;
x
.
head
[
6
]
=
0.5
;
x
.
head
[
7
]
=
-
0.5
;
x
.
head
[
8
]
=
0.5
;
x
.
head
[
9
]
=
0.0
;
x
.
head
[
10
]
=
0.0
;
x
.
head
[
11
]
=
1.0
;
return
x
;
}
matrix
get2x4WiA
(){
matrix
x
=
createMx
(
2
,
4
);
x
.
head
[
0
]
=
1.0
;
x
.
head
[
1
]
=
0.0
;
x
.
head
[
2
]
=
1.0
;
x
.
head
[
3
]
=
1.0
;
x
.
head
[
4
]
=
1.0
;
x
.
head
[
5
]
=
-
1.0
;
x
.
head
[
6
]
=
0.0
;
x
.
head
[
7
]
=
-
1.0
;
return
x
;
}
\ No newline at end of file
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