file_path stringlengths 7 180 | content stringlengths 0 811k | repo stringclasses 11
values |
|---|---|---|
test/DepthwiseConv2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/Flatten2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/GlobalAveragePooling2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/GlobalMaxPooling2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/IsNegative.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/IsPositive.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/LeakyReLU.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/Max.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/MaxPooling2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/MaxPooling2Dsame.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/PointwiseConv2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/ReLU.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/Reshape2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/SeparableConv2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/SumPooling2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/UpSampling2D.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/circuits/AveragePooling2D_stride_test.circom | pragma circom 2.0.0;
include "../../circuits/AveragePooling2D.circom";
// poolSize!=strides
component main = AveragePooling2D(10, 10, 3, 3, 2); | https://github.com/socathie/circomlib-ml |
test/circuits/AveragePooling2D_test.circom | pragma circom 2.0.0;
include "../../circuits/AveragePooling2D.circom";
// poolSize=strides - default Keras settings
component main = AveragePooling2D(5, 5, 3, 2, 2); | https://github.com/socathie/circomlib-ml |
test/circuits/BatchNormalization_test.circom | pragma circom 2.0.0;
include "../../circuits/BatchNormalization2D.circom";
component main = BatchNormalization2D(5,5,3,10**36); | https://github.com/socathie/circomlib-ml |
test/circuits/Conv1D_test.circom | pragma circom 2.0.0;
include "../../circuits/Conv1D.circom";
component main = Conv1D(20, 3, 2, 4, 3, 10**36); | https://github.com/socathie/circomlib-ml |
test/circuits/Conv2D_stride_test.circom | pragma circom 2.0.0;
include "../../circuits/Conv2D.circom";
component main = Conv2D(10, 10, 3, 2, 4, 3, 10**36); | https://github.com/socathie/circomlib-ml |
test/circuits/Conv2D_test.circom | pragma circom 2.0.0;
include "../../circuits/Conv2D.circom";
component main = Conv2D(5, 5, 3, 2, 3, 1, 10**36); | https://github.com/socathie/circomlib-ml |
test/circuits/Conv2Dsame_stride_test.circom | pragma circom 2.0.0;
include "../../circuits/Conv2Dsame.circom";
component main = Conv2Dsame(10, 10, 3, 2, 4, 3, 10**36); | https://github.com/socathie/circomlib-ml |
test/circuits/Conv2Dsame_test.circom | pragma circom 2.0.0;
include "../../circuits/Conv2Dsame.circom";
component main = Conv2Dsame(5, 5, 3, 2, 3, 1, 10**36); | https://github.com/socathie/circomlib-ml |
test/circuits/Dense_test.circom | pragma circom 2.0.0;
include "../../circuits/Dense.circom";
component main = Dense(20,10,10**36); | https://github.com/socathie/circomlib-ml |
test/circuits/DepthwiseConv2D_test.circom | pragma circom 2.0.0;
include "../../circuits/DepthwiseConv2D.circom";
component main = DepthwiseConv2D(7, 7, 3, 3, 3, 1, 10**15);
| https://github.com/socathie/circomlib-ml |
test/circuits/Flatten2D_test.circom | pragma circom 2.0.0;
include "../../circuits/Flatten2D.circom";
component main = Flatten2D(5, 5, 3); | https://github.com/socathie/circomlib-ml |
test/circuits/GlobalAveragePooling2D_test.circom | pragma circom 2.0.0;
include "../../circuits/GlobalAveragePooling2D.circom";
component main = GlobalAveragePooling2D(5, 5, 3); | https://github.com/socathie/circomlib-ml |
test/circuits/GlobalMaxPooling2D_test.circom | pragma circom 2.0.0;
include "../../circuits/GlobalMaxPooling2D.circom";
component main = GlobalMaxPooling2D(5, 5, 3); | https://github.com/socathie/circomlib-ml |
test/circuits/IsNegative_test.circom | pragma circom 2.0.0;
include "../../circuits/util.circom";
component main = IsNegative(); | https://github.com/socathie/circomlib-ml |
test/circuits/IsPositive_test.circom | pragma circom 2.0.0;
include "../../circuits/util.circom";
component main = IsPositive(); | https://github.com/socathie/circomlib-ml |
test/circuits/LeakyReLU_test.circom | pragma circom 2.0.0;
include "../../circuits/LeakyReLU.circom";
template leaky_relu_test() {
signal input in[3];
signal input out[3];
signal input remainder[3];
component leaky_relu[3];
for (var i=0; i<3; i++) {
leaky_relu[i] = LeakyReLU(3);
leaky_relu[i].in <== in[i];
l... | https://github.com/socathie/circomlib-ml |
test/circuits/MaxPooling2D_stride_test.circom | pragma circom 2.0.0;
include "../../circuits/MaxPooling2D.circom";
component main = MaxPooling2D(10, 10, 3, 2, 3); | https://github.com/socathie/circomlib-ml |
test/circuits/MaxPooling2D_test.circom | pragma circom 2.0.0;
include "../../circuits/MaxPooling2D.circom";
// poolSize=strides - default Keras settings
component main = MaxPooling2D(5, 5, 3, 2, 2); | https://github.com/socathie/circomlib-ml |
test/circuits/MaxPooling2Dsame_stride_test.circom | pragma circom 2.0.0;
include "../../circuits/MaxPooling2Dsame.circom";
component main = MaxPooling2Dsame(10, 10, 3, 2, 3); | https://github.com/socathie/circomlib-ml |
test/circuits/MaxPooling2Dsame_test.circom | pragma circom 2.0.0;
include "../../circuits/MaxPooling2Dsame.circom";
// poolSize=strides - default Keras settings
component main = MaxPooling2Dsame(5, 5, 3, 2, 2); | https://github.com/socathie/circomlib-ml |
test/circuits/Max_test.circom | pragma circom 2.0.0;
include "../../circuits/util.circom";
component main = Max(4); | https://github.com/socathie/circomlib-ml |
test/circuits/PointwiseConv2D_test.circom | pragma circom 2.0.0;
include "../../circuits/PointwiseConv2D.circom";
component main = PointwiseConv2D(5, 5, 3, 6, 10**15);
| https://github.com/socathie/circomlib-ml |
test/circuits/ReLU_test.circom | pragma circom 2.0.0;
include "../../circuits/ReLU.circom";
template relu_test() {
signal input in[3];
signal input out[3];
component relu[3];
for (var i=0; i<3; i++) {
relu[i] = ReLU();
relu[i].in <== in[i];
relu[i].out <== out[i];
}
}
component main = relu_test(); | https://github.com/socathie/circomlib-ml |
test/circuits/Reshape2D_test.circom | pragma circom 2.0.0;
include "../../circuits/Reshape2D.circom";
component main = Reshape2D(5, 5, 3); | https://github.com/socathie/circomlib-ml |
test/circuits/SeparableConv2D_test.circom | pragma circom 2.0.0;
include "../../circuits/SeparableConv2D.circom";
component main = SeparableConv2D(7, 7, 3, 3, 6, 3, 1, 10**15);
| https://github.com/socathie/circomlib-ml |
test/circuits/SumPooling2D_stride_test.circom | pragma circom 2.0.0;
include "../../circuits/SumPooling2D.circom";
component main = SumPooling2D(10, 10, 3, 2, 3); | https://github.com/socathie/circomlib-ml |
test/circuits/SumPooling2D_test.circom | pragma circom 2.0.0;
include "../../circuits/SumPooling2D.circom";
// poolSize=strides - default Keras settings
component main = SumPooling2D(5, 5, 3, 2, 2); | https://github.com/socathie/circomlib-ml |
test/circuits/UpSampling2D_test.circom | pragma circom 2.0.0;
include "../../circuits/UpSampling2D.circom";
component main = UpSampling2D(1, 2, 3, 2); | https://github.com/socathie/circomlib-ml |
test/circuits/decryptMultiple_test.circom | pragma circom 2.0.0;
include "../../circuits/crypto/encrypt.circom";
component main = DecryptBits(1000); | https://github.com/socathie/circomlib-ml |
test/circuits/decrypt_test.circom | pragma circom 2.0.0;
include "../../circuits/crypto/encrypt.circom";
component main = Decrypt(); | https://github.com/socathie/circomlib-ml |
test/circuits/ecdh_test.circom | pragma circom 2.0.0;
include "../../circuits/crypto/ecdh.circom";
component main = Ecdh(); | https://github.com/socathie/circomlib-ml |
test/circuits/encryptDecrypt_test.circom | pragma circom 2.0.0;
include "../../circuits/crypto/encrypt.circom";
include "../../circuits/crypto/ecdh.circom";
// from zk-ml/linear-regression-demo
template Test() {
signal input message;
signal input shared_key;
signal output out;
signal input private_key;
signal input public_key[2];
com... | https://github.com/socathie/circomlib-ml |
test/circuits/encryptMultiple_test.circom | pragma circom 2.0.0;
include "../../circuits/crypto/encrypt.circom";
component main = EncryptBits(1000); | https://github.com/socathie/circomlib-ml |
test/circuits/encrypt_test.circom | pragma circom 2.0.0;
include "../../circuits/crypto/encrypt.circom";
component main = Encrypt(); | https://github.com/socathie/circomlib-ml |
test/circuits/encrypted_mnist_latest_test.circom | pragma circom 2.0.0;
include "../../circuits/Conv2D.circom";
include "../../circuits/Dense.circom";
include "../../circuits/ArgMax.circom";
include "../../circuits/Poly.circom";
include "../../circuits/AveragePooling2D.circom";
include "../../circuits/BatchNormalization2D.circom";
include "../../circuits/Flatten2D.cir... | https://github.com/socathie/circomlib-ml |
test/circuits/mnist_test.circom | pragma circom 2.0.0;
include "../../circuits/Conv2D.circom";
include "../../circuits/Dense.circom";
include "../../circuits/ArgMax.circom";
include "../../circuits/ReLU.circom";
include "../../circuits/AveragePooling2D.circom";
include "../../circuits/BatchNormalization2D.circom";
include "../../circuits/Flatten2D.cir... | https://github.com/socathie/circomlib-ml |
test/circuits/model1_test.circom | pragma circom 2.0.0;
include "../../circuits/Dense.circom";
include "../../circuits/ReLU.circom";
template model1() {
signal input in[3];
signal input Dense32weights[3][2];
signal input Dense32bias[2];
signal input Dense32out[2];
signal input Dense32remainder[2];
signal input ReLUout[2];
... | https://github.com/socathie/circomlib-ml |
test/circuits/publicKey_test.circom | pragma circom 2.0.0;
include "../../circuits/crypto/publickey_derivation.circom";
component main = PublicKey(); | https://github.com/socathie/circomlib-ml |
test/encryption.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/mnist.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/model1.js | const chai = require("chai");
const path = require("path");
const wasm_tester = require("circom_tester").wasm;
const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
exports.p = Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617");... | https://github.com/socathie/circomlib-ml |
test/modules/circomlib-0.5.1.js | exports.smt = require("./src/smt");
exports.eddsa = require("./src/eddsa");
exports.mimc7 = require("./src/mimc7");
exports.mimcsponge = require("./src/mimcsponge");
exports.babyJub = require("./src/babyjub");
exports.pedersenHash = require("./src/pedersenHash");
exports.SMT = require("./src/smt").SMT;
exports.SMTMemDB... | https://github.com/socathie/circomlib-ml |
test/modules/maci-crypto.js | "use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.unpackPubKey = exports.packPubKey = exports.bigInt2Buffer = exports.SNARK_FIELD_SIZE = exports.NOTHING_UP_MY_SLEEVE_PUBKEY = exports.NOTHING_UP_MY_SLEEVE = exports.formatPrivKeyForBabyJub = exports.unstringifyBigInts = exports.stringif... | https://github.com/socathie/circomlib-ml |
test/modules/maci-domainobjs.js | "use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.PrivKey = exports.PubKey = exports.Keypair = exports.Message = exports.Command = exports.StateLeaf = void 0;
const assert = require('assert');
const maci_crypto_1 = require("./maci-crypto");
const SERIALIZED_PRIV_KEY_PREFIX = 'macisk.'... | https://github.com/socathie/circomlib-ml |
test/modules/src/babyjub.js | const F1Field = require("ffjavascript").F1Field;
const Scalar = require("ffjavascript").Scalar;
const utils = require("ffjavascript").utils;
exports.addPoint = addPoint;
exports.mulPointEscalar = mulPointEscalar;
exports.inCurve = inCurve;
exports.inSubgroup = inSubgroup;
exports.packPoint = packPoint;
exports.unpackP... | https://github.com/socathie/circomlib-ml |
test/modules/src/eddsa.js | const createBlakeHash = require("blake-hash");
const Scalar = require("ffjavascript").Scalar;
const F1Field = require("ffjavascript").F1Field;
const babyJub = require("./babyjub");
const utils = require("ffjavascript").utils;
const pedersenHash = require("./pedersenHash").hash;
const mimc7 = require("./mimc7");
const p... | https://github.com/socathie/circomlib-ml |
test/modules/src/evmasm.js | // Copyright (c) 2018 Jordi Baylina
// License: LGPL-3.0+
//
const Web3Utils = require("web3-utils");
class Contract {
constructor() {
this.code = [];
this.labels = {};
this.pendingLabels = {};
}
createTxData() {
let C;
// Check all labels are defined
con... | https://github.com/socathie/circomlib-ml |
test/modules/src/g2_gencontract.js | // Copyright (c) 2018 Jordi Baylina
// License: LGPL-3.0+
//
const Contract = require("./evmasm");
const G2 = require("snarkjs").bn128.G2;
function toHex256(a) {
let S = a.toString(16);
while (S.length < 64) S="0"+S;
return "0x" + S;
}
function createCode(P, w) {
const C = new Contract();
cons... | https://github.com/socathie/circomlib-ml |
test/modules/src/mimc7.js | const Scalar = require("ffjavascript").Scalar;
const ZqField = require("ffjavascript").ZqField;
const Web3Utils = require("web3-utils");
const F = new ZqField(Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617"));
exports.F = F;
const SEED = "mimc";
const NROUNDS = 91;
e... | https://github.com/socathie/circomlib-ml |
test/modules/src/mimc_gencontract.js | // Copyright (c) 2018 Jordi Baylina
// License: LGPL-3.0+
//
const Web3Utils = require("web3-utils");
const Contract = require("./evmasm");
function createCode(seed, n) {
let ci = Web3Utils.keccak256(seed);
const C = new Contract();
C.push(0x44);
C.push("0x00");
C.push("0x00");
C.calldatac... | https://github.com/socathie/circomlib-ml |
test/modules/src/mimc_print_iv.js | const mimc7 = require("./mimc7.js");
console.log("IV: "+mimc7.getIV().toString());
| https://github.com/socathie/circomlib-ml |
test/modules/src/mimc_printconstants.js | const mimc7 = require("./mimc7.js");
const nRounds = 91;
let S = "[\n";
const cts = mimc7.getConstants();
for (let i=0; i<nRounds; i++) {
S = S + cts[i].toString();
if (i<nRounds-1) S = S + ",";
S=S+"\n";
}
S = S + "]\n";
console.log(S);
| https://github.com/socathie/circomlib-ml |
test/modules/src/mimc_printcontract.js | const mimcGenContract = require("./mimc_gencontract");
const SEED = "mimc";
let nRounds;
if (typeof process.argv[2] != "undefined") {
nRounds = parseInt(process.argv[2]);
} else {
nRounds = 91;
}
console.log(mimcGenContract.createCode(SEED, nRounds));
| https://github.com/socathie/circomlib-ml |
test/modules/src/mimcsponge.js | const Scalar = require("ffjavascript").Scalar
const Web3Utils = require("web3-utils");
const ZqField = require("ffjavascript").ZqField;
const F = new ZqField(Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617"));
const SEED = "mimcsponge";
const NROUNDS = 220;
exports.get... | https://github.com/socathie/circomlib-ml |
test/modules/src/mimcsponge_gencontract.js | // Copyright (c) 2018 Jordi Baylina
// License: LGPL-3.0+
//
const Web3Utils = require("web3-utils");
const Contract = require("./evmasm");
function createCode(seed, n) {
let ci = Web3Utils.keccak256(seed);
const C = new Contract();
C.push(0x64);
C.push("0x00");
C.push("0x00");
C.calldatac... | https://github.com/socathie/circomlib-ml |
test/modules/src/mimcsponge_printconstants.js | const mimcsponge = require("./mimcsponge.js");
const nRounds = 220;
let S = "[\n";
const cts = mimcsponge.getConstants();
for (let i=0; i<nRounds; i++) {
S = S + cts[i].toString();
if (i<nRounds-1) S = S + ",";
S=S+"\n";
}
S = S + "]\n";
console.log(S);
| https://github.com/socathie/circomlib-ml |
test/modules/src/mimcsponge_printcontract.js | const mimcGenContract = require("./mimcsponge_gencontract");
const SEED = "mimcsponge";
let nRounds;
if (typeof process.argv[2] != "undefined") {
nRounds = parseInt(process.argv[2]);
} else {
nRounds = 220;
}
console.log(mimcGenContract.createCode(SEED, nRounds));
| https://github.com/socathie/circomlib-ml |
test/modules/src/pedersenHash.js | const babyJub = require("./babyjub");
const createBlakeHash = require("blake-hash");
const blake2b = require("blake2b");
const Scalar = require("ffjavascript").Scalar;
const GENPOINT_PREFIX = "PedersenGenerator";
const windowSize = 4;
const nWindowsPerSegment = 50;
exports.hash = pedersenHash;
exports.getBasePoint = ... | https://github.com/socathie/circomlib-ml |
test/modules/src/pedersen_printbases.js | const pedersenHash = require("./pedersenHash.js");
let nBases;
if (typeof process.argv[2] != "undefined") {
nBases = parseInt(process.argv[2]);
} else {
nBases = 5;
}
let baseHash;
if (typeof process.argv[3] != "undefined") {
baseHash = process.argv[3];
} else {
baseHash = "blake";
}
for (let i=0; i... | https://github.com/socathie/circomlib-ml |
test/modules/src/poseidon.js | const assert = require("assert");
const Scalar = require("ffjavascript").Scalar;
const ZqField = require("ffjavascript").ZqField;
const { unstringifyBigInts } = require("ffjavascript").utils;
// Prime 0x30644e72e131a029b85045b68181585d2833e84879b9709143e1f593f0000001
const F = new ZqField(Scalar.fromString("2188824287... | https://github.com/socathie/circomlib-ml |
test/modules/src/poseidon_gencontract.js | // Copyright (c) 2018 Jordi Baylina
// License: LGPL-3.0+
//
const Contract = require("./evmasm");
const { unstringifyBigInts } = require("ffjavascript").utils;
const Web3Utils = require("web3-utils");
const { C:K, M } = unstringifyBigInts(require("./poseidon_constants.json"));
const N_ROUNDS_F = 8;
const N_ROUNDS_P... | https://github.com/socathie/circomlib-ml |
test/modules/src/poseidon_printcontract.js | const poseidonGenContract = require("./poseidon_gencontract");
if (process.argv.length != 3) {
console.log("Usage: node poseidon_gencontract.js [numberOfInputs]");
process.exit(1);
}
const nInputs = Number(process.argv[2]);
console.log(nInputs);
console.log(poseidonGenContract.createCode(nInputs));
| https://github.com/socathie/circomlib-ml |
test/modules/src/poseidon_printmatrix.js |
const Poseidon = require("./poseidon.js");
const M = Poseidon.getMatrix();
let S = "[\n ";
for (let i=0; i<M.length; i++) {
const LC = M[i];
S = S + "[\n";
for (let j=0; j<LC.length; j++) {
S = S + " " + M[i][j].toString();
if (j<LC.length-1) S = S + ",";
S = S + "\n";... | https://github.com/socathie/circomlib-ml |
test/modules/src/smt.js | const Scalar = require("ffjavascript").Scalar;
const SMTMemDB = require("./smt_memdb");
const {hash0, hash1, F} = require("./smt_hashes_poseidon");
class SMT {
constructor(db, root) {
this.db = db;
this.root = root;
}
_splitBits(_key) {
const res = Scalar.bits(_key);
whil... | https://github.com/socathie/circomlib-ml |
test/modules/src/smt_hashes_mimc.js | const mimc7 = require("./mimc7");
const bigInt = require("big-integer");
exports.hash0 = function (left, right) {
return mimc7.multiHash(left, right);
};
exports.hash1 = function(key, value) {
return mimc7.multiHash([key, value], bigInt.one);
};
exports.F = mimc7.F;
| https://github.com/socathie/circomlib-ml |
test/modules/src/smt_hashes_poseidon.js |
const ZqField = require("ffjavascript").ZqField;
const Scalar = require("ffjavascript").Scalar;
const poseidon = require("./poseidon");
const F = new ZqField(Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617"));
exports.hash0 = function (left, right) {
return pose... | https://github.com/socathie/circomlib-ml |
test/modules/src/smt_memdb.js |
const Scalar = require("ffjavascript").Scalar;
const ZqField = require("ffjavascript").ZqField;
// Prime 0x30644e72e131a029b85045b68181585d2833e84879b9709143e1f593f0000001
const F = new ZqField(Scalar.fromString("21888242871839275222246405745257275088548364400416034343698204186575808495617"));
class SMTMemDb {
c... | https://github.com/socathie/circomlib-ml |
build.rs | use eyre::{bail, eyre, Result, WrapErr as _};
use std::{
env::{var, VarError},
fs,
path::Path,
process::Command,
};
use time::{format_description::well_known::Rfc3339, OffsetDateTime, UtcOffset};
fn main() -> Result<()> {
let commit = rerun_if_git_changes().unwrap_or_else(|e| {
eprintln!("W... | https://github.com/worldcoin/proto-neural-zkp |
criterion.rs | use neural_zkp as lib;
fn main() {
let mut criterion = criterion::Criterion::default().configure_from_args();
lib::bench::group(&mut criterion);
criterion.final_summary();
}
| https://github.com/worldcoin/proto-neural-zkp |
ref_cnn/benchmark_cnn.py | ### Will take a long time! Took 13.2min on my machine (M1 Max MBP - DC)
import timeit
import numpy as np
from vanilla_cnn import *
if __name__ == "__main__":
# instantiate matrices outside of time it block
np.random.seed(12345)
x = np.random.randint(low=-5, high=5, size=(120, 80, 3))
f = np.rand... | https://github.com/worldcoin/proto-neural-zkp |
ref_cnn/generate_cnn_json.py | # Imports
import json
from json import JSONEncoder
import numpy as np
from enum import Enum
import re
# Encoder
class Encoder(JSONEncoder):
def default(self, obj):
if isinstance(obj, np.ndarray):
return obj.tolist()
elif isinstance(obj, Layer):
return obj.value[0]
re... | https://github.com/worldcoin/proto-neural-zkp |
ref_cnn/prover_perf.ipynb | {
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "cf9cc6d3-87d9-4c07-8773-39cfcc94d0f5",
"metadata": {},
"outputs": [],
"source": [
"# !pip install numpy pandas matplotlib watermark"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cb8f77a5-dc82-4c34... | https://github.com/worldcoin/proto-neural-zkp |
ref_cnn/vanilla_cnn.ipynb | {
"cells": [
{
"cell_type": "markdown",
"id": "d5c490d4",
"metadata": {},
"source": [
"# Vanilla CNN layers implementation with numpy"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "794b9914-cce9-4d71-b20d-96df96f6403b",
"metadata": {},
"outputs": [],
"source": [... | https://github.com/worldcoin/proto-neural-zkp |
ref_cnn/vanilla_cnn.py | import numpy as np
def conv_layer(input, f):
"""
Evaluate the output of a convolutional layer using the filter f.
input.shape = (h, w, c)
f.shape = (c_out, hf, wf, c_in)
"""
h, w, c = input.shape
c_out, hf, wf, c_in = f.shape
assert c == c_in, "Input channels must match!"
assert hf... | https://github.com/worldcoin/proto-neural-zkp |
src/allocator.rs | use core::sync::atomic::{AtomicUsize, Ordering::Relaxed};
pub use std::alloc::System as StdAlloc;
use std::alloc::{GlobalAlloc, Layout};
#[cfg(feature = "mimalloc")]
pub use mimalloc::MiMalloc;
#[cfg_attr(feature = "std", derive(Debug))]
pub struct Allocator<T: GlobalAlloc> {
inner: T,
pub all... | https://github.com/worldcoin/proto-neural-zkp |
src/anyhow.rs | use eyre::eyre;
pub trait MapAny<T> {
fn map_any(self) -> eyre::Result<T>;
}
impl<T> MapAny<T> for anyhow::Result<T> {
fn map_any(self) -> eyre::Result<T> {
self.map_err(|e| eyre!(e.to_string()))
}
}
| https://github.com/worldcoin/proto-neural-zkp |
src/cli/logging.rs | #![warn(clippy::all, clippy::pedantic, clippy::cargo, clippy::nursery)]
use core::str::FromStr;
use eyre::{bail, Error as EyreError, Result as EyreResult, WrapErr as _};
use std::process::id as pid;
use structopt::StructOpt;
use tracing::{info, Level, Subscriber};
use tracing_log::{AsLog as _, LogTracer};
use tracing_... | https://github.com/worldcoin/proto-neural-zkp |
src/cli/main.rs | #![warn(clippy::all, clippy::pedantic, clippy::cargo, clippy::nursery)]
use neural_zkp as lib;
mod logging;
mod random;
use eyre::{Result as EyreResult, WrapErr as _};
use structopt::StructOpt;
use tokio::runtime::{self, Runtime};
use tracing::info;
const VERSION: &str = concat!(
env!("CARGO_PKG_VERSION"),
... | https://github.com/worldcoin/proto-neural-zkp |
src/cli/random.rs | use rand::{rngs::OsRng, RngCore, SeedableRng};
use rand_pcg::Mcg128Xsl64;
use structopt::StructOpt;
use tracing::info;
pub type Generator = Mcg128Xsl64;
#[derive(StructOpt)]
pub struct Options {
/// Random seed for deterministic random number generation.
/// If not specified a seed is periodically generated f... | https://github.com/worldcoin/proto-neural-zkp |
src/layers/conv.rs | use ndarray::{s, Array, Array3, Array4, ArrayD, ArrayViewD, Ix3};
use serde::Serialize;
use super::{Layer, LayerJson};
#[derive(Clone, Serialize)]
pub struct Convolution {
kernel: Array4<f32>,
name: String,
input_shape: Vec<usize>,
}
impl Convolution {
#[must_use]
pub fn new(kernel: A... | https://github.com/worldcoin/proto-neural-zkp |
src/layers/flatten.rs | use ndarray::{Array1, ArrayD, ArrayViewD};
use serde::Serialize;
use super::{Layer, LayerJson};
#[derive(Clone, Serialize)]
pub struct Flatten {
name: String,
input_shape: Vec<usize>,
}
impl Flatten {
#[must_use]
pub fn new(input_shape: Vec<usize>) -> Flatten {
Flatten {
na... | https://github.com/worldcoin/proto-neural-zkp |
src/layers/fully_connected.rs | use ndarray::{Array1, Array2, ArrayD, ArrayViewD, Ix1};
use serde::Serialize;
use super::{Layer, LayerJson};
#[derive(Clone, Serialize)]
pub struct FullyConnected {
weights: Array2<f32>,
biases: Array1<f32>,
name: String,
}
impl FullyConnected {
#[must_use]
pub fn new(weights: Array2<f32>, bi... | https://github.com/worldcoin/proto-neural-zkp |
src/layers/maxpool.rs | use ndarray::{s, Array3, ArrayD, ArrayViewD, Ix3};
use ndarray_stats::QuantileExt;
use serde::Serialize;
use super::{Layer, LayerJson};
#[derive(Clone, Serialize)]
pub struct MaxPool {
kernel_side: usize,
name: String,
input_shape: Vec<usize>,
}
impl MaxPool {
#[must_use]
pub fn new(kernel... | https://github.com/worldcoin/proto-neural-zkp |
src/layers/mod.rs | use std::fmt::{Display, Formatter, Result};
use erased_serde::serialize_trait_object;
use ndarray::{ArcArray, ArrayD, ArrayViewD, Ix1, Ix2, Ix4};
use serde::{Deserialize, Serialize};
pub mod conv;
pub mod flatten;
pub mod fully_connected;
pub mod maxpool;
pub mod normalize;
pub mod relu;
pub trait Layer: erased_serd... | https://github.com/worldcoin/proto-neural-zkp |
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