tx · BgJxwNe2CWQhu6e8YQTPKDw8KySzHCR28WNTUgBG6V1v

3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY:  -0.01000000 Waves

2024.05.04 11:55 [3091169] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{
    "type": 13,
    "id": "BgJxwNe2CWQhu6e8YQTPKDw8KySzHCR28WNTUgBG6V1v",
    "fee": 1000000,
    "feeAssetId": null,
    "timestamp": 1714812889556,
    "version": 2,
    "chainId": 84,
    "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY",
    "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc",
    "proofs": [
        "gQgzUjYgdxMUtGWt849niJRfTP5GC1sdDA6fWCHVMhaSeLk5YgEwHpAsJ173Q4qzko5SeKZLySMFqQffSxmdt2g"
    ],
    "script": "base64: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",
    "height": 3091169,
    "applicationStatus": "succeeded",
    "spentComplexity": 0
}

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Diff: 
Old
New
Differences
14
14
 
    else 0
15
15
 
16
16
 
17
-
func sigmoid_approx (x) = if ((-5000 > x))
18
-
    then 0
19
-
    else if ((0 > x))
20
-
        then 5000
21
-
        else if ((5000 > x))
22
-
            then 9500
23
-
            else 10000
17
+
func sigmoid_approx (x) = if ((-6000 > x))
18
+
    then 500
19
+
    else if ((-4000 > x))
20
+
        then 1000
21
+
        else if ((-2000 > x))
22
+
            then 2000
23
+
            else if ((0 > x))
24
+
                then 3000
25
+
                else if ((2000 > x))
26
+
                    then 5000
27
+
                    else if ((4000 > x))
28
+
                        then 7000
29
+
                        else if ((6000 > x))
30
+
                            then 8000
31
+
                            else if ((8000 > x))
32
+
                                then 9000
33
+
                                else 9500
24
34
 
25
35
 
26
36
 
func dotProduct (v1,v2) = {
45
55
 
@Callable(i)
46
56
 
func predict (input1,input2) = {
47
57
 
    let inputs = [input1, input2]
48
-
    let $t014341517 = feedforward(inputs)
49
-
    let prediction = $t014341517._1
50
-
    let dp1 = $t014341517._2
51
-
    let dp2 = $t014341517._3
52
-
    let layer1Result1 = $t014341517._4
53
-
    let layer1Result2 = $t014341517._5
54
-
    let dp3 = $t014341517._6
58
+
    let $t016011684 = feedforward(inputs)
59
+
    let prediction = $t016011684._1
60
+
    let dp1 = $t016011684._2
61
+
    let dp2 = $t016011684._3
62
+
    let layer1Result1 = $t016011684._4
63
+
    let layer1Result2 = $t016011684._5
64
+
    let dp3 = $t016011684._6
55
65
 
[IntegerEntry("prediction", prediction), IntegerEntry("dotProduct1", dp1), IntegerEntry("dotProduct2", dp2), IntegerEntry("layer1Result1", layer1Result1), IntegerEntry("layer1Result2", layer1Result2), IntegerEntry("dotProduct3", dp3)]
56
66
 
    }
57
67
 

Full: 
Old
New
Differences
1
1
 
{-# STDLIB_VERSION 5 #-}
2
2
 
{-# SCRIPT_TYPE ACCOUNT #-}
3
3
 
{-# CONTENT_TYPE DAPP #-}
4
4
 
let layer1Weights = [[600496, 600733], [414197, 414253]]
5
5
 
6
6
 
let layer1Biases = [-259050, -635637]
7
7
 
8
8
 
let layer2Weights = [[832966, -897141]]
9
9
 
10
10
 
let layer2Biases = [-381179]
11
11
 
12
12
 
func relu (x) = if ((x > 0))
13
13
 
    then x
14
14
 
    else 0
15
15
 
16
16
 
17
-
func sigmoid_approx (x) = if ((-5000 > x))
18
-
    then 0
19
-
    else if ((0 > x))
20
-
        then 5000
21
-
        else if ((5000 > x))
22
-
            then 9500
23
-
            else 10000
17
+
func sigmoid_approx (x) = if ((-6000 > x))
18
+
    then 500
19
+
    else if ((-4000 > x))
20
+
        then 1000
21
+
        else if ((-2000 > x))
22
+
            then 2000
23
+
            else if ((0 > x))
24
+
                then 3000
25
+
                else if ((2000 > x))
26
+
                    then 5000
27
+
                    else if ((4000 > x))
28
+
                        then 7000
29
+
                        else if ((6000 > x))
30
+
                            then 8000
31
+
                            else if ((8000 > x))
32
+
                                then 9000
33
+
                                else 9500
24
34
 
25
35
 
26
36
 
func dotProduct (v1,v2) = {
27
37
 
    let sum1 = ((v1[0] * v2[0]) / 10000)
28
38
 
    let sum2 = ((v1[1] * v2[1]) / 10000)
29
39
 
    (sum1 + sum2)
30
40
 
    }
31
41
 
32
42
 
33
43
 
func feedforward (inputs) = {
34
44
 
    let dp1 = dotProduct(inputs, layer1Weights[0])
35
45
 
    let dp2 = dotProduct(inputs, layer1Weights[1])
36
46
 
    let layer1Result1 = sigmoid_approx((dp1 + layer1Biases[0]))
37
47
 
    let layer1Result2 = sigmoid_approx((dp2 + layer1Biases[1]))
38
48
 
    let layer2Inputs = [layer1Result1, layer1Result2]
39
49
 
    let dp3 = dotProduct(layer2Inputs, layer2Weights[0])
40
50
 
    let output = sigmoid_approx((dp3 + layer2Biases[0]))
41
51
 
    $Tuple6(output, dp1, dp2, layer1Result1, layer1Result2, dp3)
42
52
 
    }
43
53
 
44
54
 
45
55
 
@Callable(i)
46
56
 
func predict (input1,input2) = {
47
57
 
    let inputs = [input1, input2]
48
-
    let $t014341517 = feedforward(inputs)
49
-
    let prediction = $t014341517._1
50
-
    let dp1 = $t014341517._2
51
-
    let dp2 = $t014341517._3
52
-
    let layer1Result1 = $t014341517._4
53
-
    let layer1Result2 = $t014341517._5
54
-
    let dp3 = $t014341517._6
58
+
    let $t016011684 = feedforward(inputs)
59
+
    let prediction = $t016011684._1
60
+
    let dp1 = $t016011684._2
61
+
    let dp2 = $t016011684._3
62
+
    let layer1Result1 = $t016011684._4
63
+
    let layer1Result2 = $t016011684._5
64
+
    let dp3 = $t016011684._6
55
65
 
[IntegerEntry("prediction", prediction), IntegerEntry("dotProduct1", dp1), IntegerEntry("dotProduct2", dp2), IntegerEntry("layer1Result1", layer1Result1), IntegerEntry("layer1Result2", layer1Result2), IntegerEntry("dotProduct3", dp3)]
56
66
 
    }
57
67
 
58
68
 

github/deemru/w8io/169f3d6 
28.19 ms ◑