tx · 8kHEQJ5bKk61dWSge22zDdgJUyPAfnReKUAvCK5tHtMF 3NBwmKwBV3F4vBVoAUJfqVhV67oenSHaqRV: -0.01000000 Waves 2024.03.23 15:14 [3030676] smart account 3NBwmKwBV3F4vBVoAUJfqVhV67oenSHaqRV > SELF 0.00000000 Waves
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"height": 3030676, "applicationStatus": "succeeded", "spentComplexity": 0 } View: original | compacted Prev: none Next: none Full:
Old | New | Differences | |
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1 | - | # no script | |
1 | + | {-# STDLIB_VERSION 5 #-} | |
2 | + | {-# SCRIPT_TYPE ACCOUNT #-} | |
3 | + | {-# CONTENT_TYPE DAPP #-} | |
4 | + | let layer1Weights = [[-9275240, 6222139], [-9201827, -6516189], [-1528731, 11450396], [-7524843, -6044814]] | |
5 | + | ||
6 | + | let layer1Biases = [-2569627, 2312524, -4752973, 1895166] | |
7 | + | ||
8 | + | let layer2Weights = [[-7575203, 5523326, 6581110, 3773202], [6861028, -5706216, -6035509, -3323542]] | |
9 | + | ||
10 | + | let layer2Biases = [-3161622, 2945010] | |
11 | + | ||
12 | + | let layer3Weights = [[-8939640, 9517362]] | |
13 | + | ||
14 | + | let layer3Biases = [-192349] | |
15 | + | ||
16 | + | func sigmoid (z) = { | |
17 | + | let e = 2718281 | |
18 | + | let base = 1000000 | |
19 | + | let positiveZ = if ((0 > z)) | |
20 | + | then -(z) | |
21 | + | else z | |
22 | + | let expPart = fraction(e, base, positiveZ) | |
23 | + | fraction(base, base, (base + expPart)) | |
24 | + | } | |
25 | + | ||
26 | + | ||
27 | + | func forwardPassLayer1 (input,weights,biases) = { | |
28 | + | let sum0 = ((((fraction(input[0], weights[0][0], 1000000) + fraction(input[1], weights[0][1], 1000000)) + fraction(input[2], weights[0][2], 1000000)) + fraction(input[3], weights[0][3], 1000000)) + biases[0]) | |
29 | + | let sum1 = ((((fraction(input[0], weights[1][0], 1000000) + fraction(input[1], weights[1][1], 1000000)) + fraction(input[2], weights[1][2], 1000000)) + fraction(input[3], weights[1][3], 1000000)) + biases[1]) | |
30 | + | let sum2 = ((((fraction(input[0], weights[2][0], 1000000) + fraction(input[1], weights[2][1], 1000000)) + fraction(input[2], weights[2][2], 1000000)) + fraction(input[3], weights[2][3], 1000000)) + biases[2]) | |
31 | + | let sum3 = ((((fraction(input[0], weights[3][0], 1000000) + fraction(input[1], weights[3][1], 1000000)) + fraction(input[2], weights[3][2], 1000000)) + fraction(input[3], weights[3][3], 1000000)) + biases[3]) | |
32 | + | let sig0 = sigmoid(sum0) | |
33 | + | let sig1 = sigmoid(sum1) | |
34 | + | let sig2 = sigmoid(sum2) | |
35 | + | let sig3 = sigmoid(sum3) | |
36 | + | [sig0, sig1, sig2, sig3] | |
37 | + | } | |
38 | + | ||
39 | + | ||
40 | + | func forwardPassLayer2 (input,weights,biases) = { | |
41 | + | let sum0 = ((fraction(input[0], weights[0][0], 1000000) + fraction(input[1], weights[0][1], 1000000)) + biases[0]) | |
42 | + | let sum1 = ((fraction(input[0], weights[1][0], 1000000) + fraction(input[1], weights[1][1], 1000000)) + biases[1]) | |
43 | + | let sig0 = sigmoid(sum0) | |
44 | + | let sig1 = sigmoid(sum1) | |
45 | + | [sig0, sig1] | |
46 | + | } | |
47 | + | ||
48 | + | ||
49 | + | func forwardPassLayer3 (input,weights,bias) = { | |
50 | + | let dotProduct = (fraction(input[0], weights[0], 1000000) + fraction(input[1], weights[0], 1000000)) | |
51 | + | let sum = (dotProduct + bias) | |
52 | + | sigmoid(sum) | |
53 | + | } | |
54 | + | ||
55 | + | ||
56 | + | @Callable(i) | |
57 | + | func predict (input1,input2) = { | |
58 | + | let scaledInput1 = if ((input1 == 1)) | |
59 | + | then 1000000 | |
60 | + | else 0 | |
61 | + | let scaledInput2 = if ((input2 == 1)) | |
62 | + | then 1000000 | |
63 | + | else 0 | |
64 | + | let inputs = [scaledInput1, scaledInput2] | |
65 | + | let layer1Output = forwardPassLayer1(inputs, layer1Weights, layer1Biases) | |
66 | + | let layer2Output = forwardPassLayer2(layer1Output, layer2Weights, layer2Biases) | |
67 | + | let output = forwardPassLayer3(layer2Output, [-8939640, 9517362], -192349) | |
68 | + | [IntegerEntry("result", output)] | |
69 | + | } | |
70 | + | ||
71 | + |
github/deemru/w8io/6500d08 31.74 ms ◑