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[tests] add mini test case for MSM on Nvidia
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# Constantine | ||
# Copyright (c) 2018-2019 Status Research & Development GmbH | ||
# Copyright (c) 2020-Present Mamy André-Ratsimbazafy | ||
# Licensed and distributed under either of | ||
# * MIT license (license terms in the root directory or at http://opensource.org/licenses/MIT). | ||
# * Apache v2 license (license terms in the root directory or at http://www.apache.org/licenses/LICENSE-2.0). | ||
# at your option. This file may not be copied, modified, or distributed except according to those terms. | ||
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import | ||
# Internal | ||
constantine/named/algebras, | ||
constantine/math/io/[io_bigints, io_fields, io_ec], | ||
constantine/math/arithmetic, | ||
constantine/math/elliptic/[ec_shortweierstrass_affine, ec_shortweierstrass_jacobian, ec_multi_scalar_mul], | ||
constantine/platforms/abstractions, | ||
constantine/platforms/llvm/llvm, | ||
constantine/math_compiler/[ir, pub_fields, pub_curves_jacobian, codegen_nvidia, impl_fields_globals], | ||
# Test utilities | ||
helpers/prng_unsafe | ||
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type | ||
EC = EC_ShortW_Jac[Fp[BN254_Snarks], G1] | ||
ECAff = EC_ShortW_Aff[Fp[BN254_Snarks], G1] | ||
const wordSize = 32 | ||
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# 2 EC points | ||
let x = "0x2ef34a5db00ff691849861d49415d8081d9d0e10cba33b57b2dd1f37f13eeee0" | ||
let y = "0x2beb0d0d6115007676f30bcc462fe814bf81198848f139621a3e9fa454fe8e6a" | ||
let pt = ECAff.fromHex(x, y) | ||
echo pt.toHex() | ||
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let x2 = "0x226c85cf65f4596a77da7d247310a81ac9aa9220e819e3ef23b6cbe0218ce272" | ||
let y2 = "0xf53265870f65aa18bded3ccb9c62a4d8b060a32a05a75d455710bce95a991df" | ||
let pt2 = ECAff.fromHex(x2, y2) | ||
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# 2 coefficients | ||
let a = Fr[BN254_Snarks].fromUInt(1'u32) | ||
let b = Fr[BN254_Snarks].fromHex("0x2beb0d0d6115007676f30bcc462fe814bf81198848f139621a3e9fa454fe8e6a") | ||
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proc fromField[BigInt](x: FF): BigInt = | ||
result.fromField(x) | ||
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type CB = Fr[BN254_Snarks].getBigInt() | ||
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template toPOA(x): untyped = cast[ptr UncheckedArray[x[0].typeof]](x[0].addr) | ||
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let bN = fromField[CB](b) # convert to BigInt to go from Montgomery rep to canonical rep | ||
let coefs = [bN, bN] | ||
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let points = [pt, pt2] | ||
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block MSM: | ||
# Codegen | ||
# ------------------------- | ||
let nv = initNvAsm(EC, wordSize) | ||
let kernel = nv.compile(nv.asy.genEcMSM(nv.cd, 3, coefs.len)) | ||
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# For CPU: | ||
var rCPU: EC | ||
rCPU.multiScalarMul_reference_vartime(@coefs, @points) | ||
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# For GPU: | ||
var rGPU: EC | ||
kernel.execCuda(res = rGPU, inputs = (coefs, points)) | ||
echo "CPU: ", rCPU.toHex() | ||
echo "GPU: ", rGPU.toHex() | ||
# Verify CPU and GPU agree | ||
doAssert bool(rCPU == rGPU) |