tx · FZharDfu9u3yURdpNVPoqVoSWuAJo4VBm5dPLS1sNtbM

3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY:  -0.01000000 Waves

2024.05.04 12:01 [3091174] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{
    "type": 13,
    "id": "FZharDfu9u3yURdpNVPoqVoSWuAJo4VBm5dPLS1sNtbM",
    "fee": 1000000,
    "feeAssetId": null,
    "timestamp": 1714813359735,
    "version": 2,
    "chainId": 84,
    "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY",
    "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc",
    "proofs": [
        "4qKathbDWyqXQat252jqyBjU2a1ervTZudcjrpxzo5VoSJypCzZzw8Y8J15bqecpE3pSxSFVxqFhDmATjXVKneEw"
    ],
    "script": "base64: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",
    "height": 3091174,
    "applicationStatus": "succeeded",
    "spentComplexity": 0
}

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Diff: 
Old
New
Differences
23
23
 
            else if ((0 > x))
24
24
 
                then 3000
25
25
 
                else if ((1000 > x))
26
-
                    then 7000
26
+
                    then 5000
27
27
 
                    else if ((2000 > x))
28
-
                        then 8000
29
-
                        else if ((4000 > x))
30
-
                            then 9000
31
-
                            else 10000
28
+
                        then 7000
29
+
                        else if ((3000 > x))
30
+
                            then 8000
31
+
                            else if ((4000 > x))
32
+
                                then 9000
33
+
                                else 10000
32
34
 
33
35
 
34
36
 
func dotProduct (v1,v2) = {
53
55
 
@Callable(i)
54
56
 
func predict (input1,input2) = {
55
57
 
    let inputs = [input1, input2]
56
-
    let $t015381621 = feedforward(inputs)
57
-
    let prediction = $t015381621._1
58
-
    let dp1 = $t015381621._2
59
-
    let dp2 = $t015381621._3
60
-
    let layer1Result1 = $t015381621._4
61
-
    let layer1Result2 = $t015381621._5
62
-
    let dp3 = $t015381621._6
58
+
    let $t015191602 = feedforward(inputs)
59
+
    let prediction = $t015191602._1
60
+
    let dp1 = $t015191602._2
61
+
    let dp2 = $t015191602._3
62
+
    let layer1Result1 = $t015191602._4
63
+
    let layer1Result2 = $t015191602._5
64
+
    let dp3 = $t015191602._6
63
65
 
[IntegerEntry("prediction", prediction), IntegerEntry("dotProduct1", dp1), IntegerEntry("dotProduct2", dp2), IntegerEntry("layer1Result1", layer1Result1), IntegerEntry("layer1Result2", layer1Result2), IntegerEntry("dotProduct3", dp3)]
64
66
 
    }
65
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
17
 
func sigmoid_approx (x) = if ((-4000 > x))
18
18
 
    then 0
19
19
 
    else if ((-2000 > x))
20
20
 
        then 1000
21
21
 
        else if ((-1000 > x))
22
22
 
            then 2000
23
23
 
            else if ((0 > x))
24
24
 
                then 3000
25
25
 
                else if ((1000 > x))
26
-
                    then 7000
26
+
                    then 5000
27
27
 
                    else if ((2000 > x))
28
-
                        then 8000
29
-
                        else if ((4000 > x))
30
-
                            then 9000
31
-
                            else 10000
28
+
                        then 7000
29
+
                        else if ((3000 > x))
30
+
                            then 8000
31
+
                            else if ((4000 > x))
32
+
                                then 9000
33
+
                                else 10000
32
34
 
33
35
 
34
36
 
func dotProduct (v1,v2) = {
35
37
 
    let sum1 = ((v1[0] * v2[0]) / 10000)
36
38
 
    let sum2 = ((v1[1] * v2[1]) / 10000)
37
39
 
    (sum1 + sum2)
38
40
 
    }
39
41
 
40
42
 
41
43
 
func feedforward (inputs) = {
42
44
 
    let dp1 = dotProduct(inputs, layer1Weights[0])
43
45
 
    let dp2 = dotProduct(inputs, layer1Weights[1])
44
46
 
    let layer1Result1 = sigmoid_approx((dp1 + layer1Biases[0]))
45
47
 
    let layer1Result2 = sigmoid_approx((dp2 + layer1Biases[1]))
46
48
 
    let layer2Inputs = [layer1Result1, layer1Result2]
47
49
 
    let dp3 = dotProduct(layer2Inputs, layer2Weights[0])
48
50
 
    let output = sigmoid_approx((dp3 + layer2Biases[0]))
49
51
 
    $Tuple6(output, dp1, dp2, layer1Result1, layer1Result2, dp3)
50
52
 
    }
51
53
 
52
54
 
53
55
 
@Callable(i)
54
56
 
func predict (input1,input2) = {
55
57
 
    let inputs = [input1, input2]
56
-
    let $t015381621 = feedforward(inputs)
57
-
    let prediction = $t015381621._1
58
-
    let dp1 = $t015381621._2
59
-
    let dp2 = $t015381621._3
60
-
    let layer1Result1 = $t015381621._4
61
-
    let layer1Result2 = $t015381621._5
62
-
    let dp3 = $t015381621._6
58
+
    let $t015191602 = feedforward(inputs)
59
+
    let prediction = $t015191602._1
60
+
    let dp1 = $t015191602._2
61
+
    let dp2 = $t015191602._3
62
+
    let layer1Result1 = $t015191602._4
63
+
    let layer1Result2 = $t015191602._5
64
+
    let dp3 = $t015191602._6
63
65
 
[IntegerEntry("prediction", prediction), IntegerEntry("dotProduct1", dp1), IntegerEntry("dotProduct2", dp2), IntegerEntry("layer1Result1", layer1Result1), IntegerEntry("layer1Result2", layer1Result2), IntegerEntry("dotProduct3", dp3)]
64
66
 
    }
65
67
 
66
68
 

github/deemru/w8io/3ef1775 
259.65 ms ◑