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Formatting, fixes tests, and general cleanup

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This commit is contained in:
Jeremy Felder
2024-01-02 07:51:31 +02:00
parent b92bc707d1
commit 709009a96a
73 changed files with 130 additions and 3635 deletions
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1
.clang-format
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@@ -26,6 +26,7 @@ KeepEmptyLinesAtTheStartOfBlocks: false
MaxEmptyLinesToKeep: 1
NamespaceIndentation: All
PointerAlignment: Left
SortIncludes: false
SpaceBeforeAssignmentOperators: true
SpaceBeforeParens: ControlStatements
SpaceInEmptyParentheses: false

23
.github/workflows/main-build.yml vendored
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@@ -77,17 +77,18 @@ jobs:
# Building from the root workspace will build all members of the workspace by default
run: cargo build --release --verbose
build-golang-linux:
name: Build Golang on Linux
runs-on: [self-hosted, Linux, X64, icicle]
needs: check-changed-files
steps:
- name: Checkout Repo
uses: actions/checkout@v3
- name: Build CUDA libs
if: needs.check-changed-files.outputs.golang == 'true' || needs.check-changed-files.outputs.cpp_cuda == 'true'
run: make all
working-directory: ./goicicle
# TODO: Reenable once Golang bindings for v1+ is finished
# build-golang-linux:
# name: Build Golang on Linux
# runs-on: [self-hosted, Linux, X64, icicle]
# needs: check-changed-files
# steps:
# - name: Checkout Repo
# uses: actions/checkout@v3
# - name: Build CUDA libs
# if: needs.check-changed-files.outputs.golang == 'true' || needs.check-changed-files.outputs.cpp_cuda == 'true'
# run: make all
# working-directory: ./goicicle
# TODO: Add once Golang make file supports building for Windows
# build-golang-windows:

40
.github/workflows/main-test.yml vendored
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@@ -67,29 +67,27 @@ jobs:
if: needs.check-changed-files.outputs.cpp_cuda == 'true'
run: |
mkdir -p build
cmake -DBUILD_TESTS=ON -DCURVE=${{ matrix.curve }} -S . -B build
cmake -DBUILD_TESTS=ON -DCMAKE_BUILD_TYPE=Release -DCURVE=${{ matrix.curve }} -S . -B build
cmake --build build
- name: Run C++ Tests
working-directory: ./icicle/build
if: needs.check-changed-files.outputs.cpp_cuda == 'true'
run: ctest
test-golang-linux:
name: Test Golang on Linux
runs-on: [self-hosted, Linux, X64, icicle]
needs: check-changed-files
steps:
- name: Checkout Repo
uses: actions/checkout@v3
- name: Build CUDA libs
working-directory: ./goicicle
if: needs.check-changed-files.outputs.golang == 'true' || needs.check-changed-files.outputs.cpp_cuda == 'true'
run: make libbn254.so
- name: Run Golang Tests
if: needs.check-changed-files.outputs.golang == 'true' || needs.check-changed-files.outputs.cpp_cuda == 'true'
run: |
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$(pwd)/goicicle
go test ./goicicle/curves/bn254 -count=1
# TODO: Fix tests for bls12377
# TODO: Fix tests for bls12381
# run: go test ./goicicle/curves/bn254 ./goicicle/curves/bls12377 ./goicicle/curves/bls12381 -count=1
# TODO: Reenable once Golang bindings for v1+ is finished
# test-golang-linux:
# name: Test Golang on Linux
# runs-on: [self-hosted, Linux, X64, icicle]
# needs: check-changed-files
# steps:
# - name: Checkout Repo
# uses: actions/checkout@v3
# - name: Build CUDA libs
# working-directory: ./goicicle
# if: needs.check-changed-files.outputs.golang == 'true' || needs.check-changed-files.outputs.cpp_cuda == 'true'
# run: make libbn254.so
# - name: Run Golang Tests
# if: needs.check-changed-files.outputs.golang == 'true' || needs.check-changed-files.outputs.cpp_cuda == 'true'
# run: |
# export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$(pwd)/goicicle
# go test ./goicicle/curves/bn254 -count=1

3
.rustfmt.toml
View File

@@ -8,6 +8,3 @@ use_field_init_shorthand = true
use_try_shorthand = true
# Unstable Configs
# This is required to enable checking single files without checking their imports/submodules
# However, this also breaks running "cargo fmt" at the workspace level
skip_children = true

6
CITATION.cff
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@@ -2,7 +2,7 @@ cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Ingonyama"
title: "Icicle: GPU Library for ZK Acceleration"
version: 0.1.0
date-released: 2023-03-08
title: "ICICLE: GPU Library for ZK Acceleration"
version: 1.0.0
date-released: 2024-01-04
url: "https://github.com/ingonyama-zk/icicle"

6
README.md
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@@ -1,5 +1,5 @@
# ICICLE
**<div align="center">Icicle is a library for ZK acceleration using CUDA-enabled GPUs.</div>**
**<div align="center">ICICLE is a library for ZK acceleration using CUDA-enabled GPUs.</div>**
![image (4)](https://user-images.githubusercontent.com/2446179/223707486-ed8eb5ab-0616-4601-8557-12050df8ccf7.png)
@@ -40,6 +40,10 @@ ICICLE is a CUDA implementation of general functions widely used in ZKP. ICICLE
## Build and usage
> [!WARNING]
> Stable versions of icicle and its bindings are released under versioned tags.
> We will try our best to keep latest main stable as well but it should be considered unstable and may break at any time.
### Prerequisites

21
curve_parameters/bls12_377.json
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@@ -1,21 +0,0 @@
{
"curve_name" : "bls12_377",
"modulus_p" : 8444461749428370424248824938781546531375899335154063827935233455917409239041,
"bit_count_p" : 253,
"limb_p" : 8,
"ntt_size" : 47,
"modulus_q" : 258664426012969094010652733694893533536393512754914660539884262666720468348340822774968888139573360124440321458177,
"bit_count_q" : 377,
"limb_q" : 12,
"root_of_unity" : 8065159656716812877374967518403273466521432693661810619979959746626482506078,
"weierstrass_b" : 1,
"weierstrass_b_g2_re" : 0,
"weierstrass_b_g2_im" : 155198655607781456406391640216936120121836107652948796323930557600032281009004493664981332883744016074664192874906,
"g1_gen_x" : 81937999373150964239938255573465948239988671502647976594219695644855304257327692006745978603320413799295628339695,
"g1_gen_y" : 241266749859715473739788878240585681733927191168601896383759122102112907357779751001206799952863815012735208165030,
"g2_gen_x_re" : 233578398248691099356572568220835526895379068987715365179118596935057653620464273615301663571204657964920925606294,
"g2_gen_x_im" : 140913150380207355837477652521042157274541796891053068589147167627541651775299824604154852141315666357241556069118,
"g2_gen_y_re" : 63160294768292073209381361943935198908131692476676907196754037919244929611450776219210369229519898517858833747423,
"g2_gen_y_im" : 149157405641012693445398062341192467754805999074082136895788947234480009303640899064710353187729182149407503257491,
"nonresidue" : -5
}

21
curve_parameters/bls12_381.json
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@@ -1,21 +0,0 @@
{
"curve_name" : "bls12_381",
"modulus_p" : 52435875175126190479447740508185965837690552500527637822603658699938581184513,
"bit_count_p" : 255,
"limb_p" : 8,
"ntt_size" : 32,
"modulus_q" : 4002409555221667393417789825735904156556882819939007885332058136124031650490837864442687629129015664037894272559787,
"bit_count_q" : 381,
"limb_q" : 12,
"root_of_unity" : 937917089079007706106976984802249742464848817460758522850752807661925904159,
"weierstrass_b" : 4,
"weierstrass_b_g2_re":4,
"weierstrass_b_g2_im":4,
"g1_gen_x" : 3685416753713387016781088315183077757961620795782546409894578378688607592378376318836054947676345821548104185464507,
"g1_gen_y" : 1339506544944476473020471379941921221584933875938349620426543736416511423956333506472724655353366534992391756441569,
"g2_gen_x_re" : 352701069587466618187139116011060144890029952792775240219908644239793785735715026873347600343865175952761926303160,
"g2_gen_x_im" : 3059144344244213709971259814753781636986470325476647558659373206291635324768958432433509563104347017837885763365758,
"g2_gen_y_re" : 1985150602287291935568054521177171638300868978215655730859378665066344726373823718423869104263333984641494340347905,
"g2_gen_y_im" : 927553665492332455747201965776037880757740193453592970025027978793976877002675564980949289727957565575433344219582,
"nonresidue" : -1
}

21
curve_parameters/bn254.json
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@@ -1,21 +0,0 @@
{
"curve_name" : "bn254",
"modulus_p" : 21888242871839275222246405745257275088548364400416034343698204186575808495617,
"bit_count_p" : 254,
"limb_p" : 8,
"ntt_size" : 28,
"modulus_q" : 21888242871839275222246405745257275088696311157297823662689037894645226208583,
"bit_count_q" : 254,
"limb_q" : 8,
"root_of_unity": 19103219067921713944291392827692070036145651957329286315305642004821462161904,
"weierstrass_b" : 3,
"weierstrass_b_g2_re" : 19485874751759354771024239261021720505790618469301721065564631296452457478373,
"weierstrass_b_g2_im" : 266929791119991161246907387137283842545076965332900288569378510910307636690,
"g1_gen_x" : 1,
"g1_gen_y" : 2,
"g2_gen_x_re" : 10857046999023057135944570762232829481370756359578518086990519993285655852781,
"g2_gen_x_im" : 11559732032986387107991004021392285783925812861821192530917403151452391805634,
"g2_gen_y_re" : 8495653923123431417604973247489272438418190587263600148770280649306958101930,
"g2_gen_y_im" : 4082367875863433681332203403145435568316851327593401208105741076214120093531,
"nonresidue" : -1
}

21
curve_parameters/bw6-761.json
View File

@@ -1,21 +0,0 @@
{
"curve_name" : "bw6_761",
"modulus_p" : 258664426012969094010652733694893533536393512754914660539884262666720468348340822774968888139573360124440321458177,
"bit_count_p" : 377,
"limb_p" : 12,
"ntt_size" : 46,
"modulus_q" : 6891450384315732539396789682275657542479668912536150109513790160209623422243491736087683183289411687640864567753786613451161759120554247759349511699125301598951605099378508850372543631423596795951899700429969112842764913119068299,
"bit_count_q" : 761,
"limb_q" : 24,
"root_of_unity" : 32863578547254505029601261939868325669770508939375122462904745766352256812585773382134936404344547323199885654433,
"weierstrass_b" : 6891450384315732539396789682275657542479668912536150109513790160209623422243491736087683183289411687640864567753786613451161759120554247759349511699125301598951605099378508850372543631423596795951899700429969112842764913119068298,
"weierstrass_b_g2_re" : 4,
"weierstrass_b_g2_im" : 0,
"g1_gen_x" : 6238772257594679368032145693622812838779005809760824733138787810501188623461307351759238099287535516224314149266511977132140828635950940021790489507611754366317801811090811367945064510304504157188661901055903167026722666149426237,
"g1_gen_y" : 2101735126520897423911504562215834951148127555913367997162789335052900271653517958562461315794228241561913734371411178226936527683203879553093934185950470971848972085321797958124416462268292467002957525517188485984766314758624099,
"g2_gen_x_re" : 6445332910596979336035888152774071626898886139774101364933948236926875073754470830732273879639675437155036544153105017729592600560631678554299562762294743927912429096636156401171909259073181112518725201388196280039960074422214428,
"g2_gen_x_im" : 1,
"g2_gen_y_re" : 562923658089539719386922163444547387757586534741080263946953401595155211934630598999300396317104182598044793758153214972605680357108252243146746187917218885078195819486220416605630144001533548163105316661692978285266378674355041,
"g2_gen_y_im" : 1,
"nonresidue" : -1
}

346
curve_parameters/new_curve_script.py
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@@ -1,346 +0,0 @@
import json
import math
import os
from string import Template
import sys
argv_list = ['thisfile', 'curve_json', 'command']
new_curve_args = dict(zip(argv_list, sys.argv[:len(argv_list)] + [""]*(len(argv_list) - len(sys.argv))))
def to_hex(val: int, length):
x = hex(val)[2:]
if len(x) % 8 != 0:
x = "0" * (8-len(x) % 8) + x
if len(x) != length:
x = "0" * (length-len(x)) + x
n = 8
chunks = [x[i:i+n] for i in range(0, len(x), n)][::-1]
s = ""
for c in chunks[:length // n]:
s += f'0x{c}, '
return s[:-2]
def compute_values(modulus, modulus_bit_count, limbs):
limb_size = 8*limbs
bit_size = 4*limb_size
modulus_ = to_hex(modulus,limb_size)
modulus_2 = to_hex(modulus*2,limb_size)
modulus_4 = to_hex(modulus*4,limb_size)
modulus_wide = to_hex(modulus,limb_size*2)
modulus_squared = to_hex(modulus*modulus,limb_size*2)
modulus_squared_2 = to_hex(modulus*modulus*2,limb_size*2)
modulus_squared_4 = to_hex(modulus*modulus*4,limb_size*2)
m_raw = int(math.floor(int(pow(2,2*modulus_bit_count) // modulus)))
m = to_hex(m_raw,limb_size)
one = to_hex(1,limb_size)
zero = to_hex(0,limb_size)
montgomery_r = to_hex(pow(2,bit_size,modulus),limb_size)
montgomery_r_inv = to_hex(pow(2,-bit_size,modulus),limb_size)
return (
modulus_,
modulus_2,
modulus_4,
modulus_wide,
modulus_squared,
modulus_squared_2,
modulus_squared_4,
m,
one,
zero,
montgomery_r,
montgomery_r_inv
)
def get_fq_params(modulus, modulus_bit_count, limbs, nonresidue):
(
modulus,
modulus_2,
modulus_4,
modulus_wide,
modulus_squared,
modulus_squared_2,
modulus_squared_4,
m,
one,
zero,
montgomery_r,
montgomery_r_inv
) = compute_values(modulus, modulus_bit_count, limbs)
limb_size = 8*limbs
nonresidue_is_negative = str(nonresidue < 0).lower()
nonresidue = abs(nonresidue)
return {
'fq_modulus': modulus,
'fq_modulus_2': modulus_2,
'fq_modulus_4': modulus_4,
'fq_modulus_wide': modulus_wide,
'fq_modulus_squared': modulus_squared,
'fq_modulus_squared_2': modulus_squared_2,
'fq_modulus_squared_4': modulus_squared_4,
'fq_m': m,
'fq_one': one,
'fq_zero': zero,
'fq_montgomery_r': montgomery_r,
'fq_montgomery_r_inv': montgomery_r_inv,
'nonresidue': nonresidue,
'nonresidue_is_negative': nonresidue_is_negative
}
def get_fp_params(modulus, modulus_bit_count, limbs, root_of_unity, size=0):
(
modulus_,
modulus_2,
modulus_4,
modulus_wide,
modulus_squared,
modulus_squared_2,
modulus_squared_4,
m,
one,
zero,
montgomery_r,
montgomery_r_inv
) = compute_values(modulus, modulus_bit_count, limbs)
limb_size = 8*limbs
if size > 0:
omega = ''
omega_inv = ''
inv = ''
omegas = []
omegas_inv = []
for k in range(size):
if k == 0:
om = root_of_unity
else:
om = pow(om, 2, modulus)
omegas.append(om)
omegas_inv.append(pow(om, -1, modulus))
omegas.reverse()
omegas_inv.reverse()
for k in range(size):
omega += "\n {"+ to_hex(omegas[k],limb_size)+"}," if k>0 else " {"+ to_hex(omegas[k],limb_size)+"},"
omega_inv += "\n {"+ to_hex(omegas_inv[k],limb_size)+"}," if k>0 else " {"+ to_hex(omegas_inv[k],limb_size)+"},"
inv += "\n {"+ to_hex(pow(int(pow(2,k+1)), -1, modulus),limb_size)+"}," if k>0 else " {"+ to_hex(pow(int(pow(2,k+1)), -1, modulus),limb_size)+"},"
return {
'fp_modulus': modulus_,
'fp_modulus_2': modulus_2,
'fp_modulus_4': modulus_4,
'fp_modulus_wide': modulus_wide,
'fp_modulus_squared': modulus_squared,
'fp_modulus_squared_2': modulus_squared_2,
'fp_modulus_squared_4': modulus_squared_4,
'fp_m': m,
'fp_one': one,
'fp_zero': zero,
'fp_montgomery_r': montgomery_r,
'fp_montgomery_r_inv': montgomery_r_inv,
'omega': omega[:-1],
'omega_inv': omega_inv[:-1],
'inv': inv[:-1],
}
def get_generators(g1_gen_x, g1_gen_y, g2_gen_x_re, g2_gen_x_im, g2_gen_y_re, g2_gen_y_im, size):
return {
'fq_gen_x': to_hex(g1_gen_x, size),
'fq_gen_y': to_hex(g1_gen_y, size),
'fq_gen_x_re': to_hex(g2_gen_x_re, size),
'fq_gen_x_im': to_hex(g2_gen_x_im, size),
'fq_gen_y_re': to_hex(g2_gen_y_re, size),
'fq_gen_y_im': to_hex(g2_gen_y_im, size)
}
def get_weier_params(weierstrass_b, weierstrass_b_g2_re, weierstrass_b_g2_im, size):
return {
'weier_b': to_hex(weierstrass_b, size),
'weier_b_g2_re': to_hex(weierstrass_b_g2_re, size),
'weier_b_g2_im': to_hex(weierstrass_b_g2_im, size),
}
def get_params(config):
global ntt_size
curve_name = config["curve_name"]
modulus_p = config["modulus_p"]
bit_count_p = config["bit_count_p"]
limb_p = config["limb_p"]
ntt_size = config["ntt_size"]
modulus_q = config["modulus_q"]
bit_count_q = config["bit_count_q"]
limb_q = config["limb_q"]
root_of_unity = config["root_of_unity"]
nonresidue = config["nonresidue"]
if root_of_unity == modulus_p:
sys.exit("Invalid root_of_unity value; please update in curve parameters")
weierstrass_b = config["weierstrass_b"]
weierstrass_b_g2_re = config["weierstrass_b_g2_re"]
weierstrass_b_g2_im = config["weierstrass_b_g2_im"]
g1_gen_x = config["g1_gen_x"]
g1_gen_y = config["g1_gen_y"]
g2_generator_x_re = config["g2_gen_x_re"]
g2_generator_x_im = config["g2_gen_x_im"]
g2_generator_y_re = config["g2_gen_y_re"]
g2_generator_y_im = config["g2_gen_y_im"]
params = {
'curve_name_U': curve_name.upper(),
'fp_num_limbs': limb_p,
'fq_num_limbs': limb_q,
'fp_modulus_bit_count': bit_count_p,
'fq_modulus_bit_count': bit_count_q,
'num_omegas': ntt_size
}
fp_params = get_fp_params(modulus_p, bit_count_p, limb_p, root_of_unity, ntt_size)
fq_params = get_fq_params(modulus_q, bit_count_q, limb_q, nonresidue)
generators = get_generators(g1_gen_x, g1_gen_y, g2_generator_x_re, g2_generator_x_im, g2_generator_y_re, g2_generator_y_im, 8*limb_q)
weier_params = get_weier_params(weierstrass_b, weierstrass_b_g2_re, weierstrass_b_g2_im, 8*limb_q)
return {
**params,
**fp_params,
**fq_params,
**generators,
**weier_params
}
config = None
with open(new_curve_args['curve_json']) as json_file:
config = json.load(json_file)
curve_name_lower = config["curve_name"].lower()
curve_name_upper = config["curve_name"].upper()
limb_q = config["limb_q"]
limb_p = config["limb_p"]
# Create Cuda interface
newpath = f'./icicle/curves/{curve_name_lower}'
if not os.path.exists(newpath):
os.makedirs(newpath)
with open("./icicle/curves/curve_template/params.cuh.tmpl", "r") as params_file:
params_file_template = Template(params_file.read())
params = get_params(config)
params_content = params_file_template.safe_substitute(params)
with open(f'./icicle/curves/{curve_name_lower}/params.cuh', 'w') as f:
f.write(params_content)
if new_curve_args['command'] != '-update':
with open("./icicle/curves/curve_template/lde.cu.tmpl", "r") as lde_file:
template_content = Template(lde_file.read())
lde_content = template_content.safe_substitute(
CURVE_NAME_U=curve_name_upper,
CURVE_NAME_L=curve_name_lower
)
with open(f'./icicle/curves/{curve_name_lower}/lde.cu', 'w') as f:
f.write(lde_content)
with open("./icicle/curves/curve_template/msm.cu.tmpl", "r") as msm_file:
template_content = Template(msm_file.read())
msm_content = template_content.safe_substitute(
CURVE_NAME_U=curve_name_upper,
CURVE_NAME_L=curve_name_lower
)
with open(f'./icicle/curves/{curve_name_lower}/msm.cu', 'w') as f:
f.write(msm_content)
with open("./icicle/curves/curve_template/ve_mod_mult.cu.tmpl", "r") as ve_mod_mult_file:
template_content = Template(ve_mod_mult_file.read())
ve_mod_mult_content = template_content.safe_substitute(
CURVE_NAME_U=curve_name_upper,
CURVE_NAME_L=curve_name_lower
)
with open(f'./icicle/curves/{curve_name_lower}/ve_mod_mult.cu', 'w') as f:
f.write(ve_mod_mult_content)
with open(f'./icicle/curves/curve_template/curve_config.cuh.tmpl', 'r') as cc:
template_content = Template(cc.read())
cc_content = template_content.safe_substitute(
CURVE_NAME_U=curve_name_upper,
)
with open(f'./icicle/curves/{curve_name_lower}/curve_config.cuh', 'w') as f:
f.write(cc_content)
with open(f'./icicle/curves/curve_template/projective.cu.tmpl', 'r') as proj:
template_content = Template(proj.read())
proj_content = template_content.safe_substitute(
CURVE_NAME_U=curve_name_upper,
CURVE_NAME_L=curve_name_lower
)
with open(f'./icicle/curves/{curve_name_lower}/projective.cu', 'w') as f:
f.write(proj_content)
with open(f'./icicle/curves/curve_template/supported_operations.cu.tmpl', 'r') as supp_ops:
template_content = Template(supp_ops.read())
supp_ops_content = template_content.safe_substitute()
with open(f'./icicle/curves/{curve_name_lower}/supported_operations.cu', 'w') as f:
f.write(supp_ops_content)
with open('./icicle/curves/index.cu', 'r+') as f:
index_text = f.read()
if index_text.find(curve_name_lower) == -1:
f.write(f'\n#include "{curve_name_lower}/supported_operations.cu"')
# Create Rust interface and tests
if limb_p == limb_q:
with open("./src/curve_templates/curve_same_limbs.rs", "r") as curve_file:
content = curve_file.read()
content = content.replace("CURVE_NAME_U",curve_name_upper)
content = content.replace("CURVE_NAME_L",curve_name_lower)
content = content.replace("_limbs_p",str(limb_p * 8 * 4))
content = content.replace("limbs_p",str(limb_p))
text_file = open("./src/curves/"+curve_name_lower+".rs", "w")
n = text_file.write(content)
text_file.close()
else:
with open("./src/curve_templates/curve_different_limbs.rs", "r") as curve_file:
content = curve_file.read()
content = content.replace("CURVE_NAME_U",curve_name_upper)
content = content.replace("CURVE_NAME_L",curve_name_lower)
content = content.replace("_limbs_p",str(limb_p * 8 * 4))
content = content.replace("limbs_p",str(limb_p))
content = content.replace("_limbs_q",str(limb_q * 8 * 4))
content = content.replace("limbs_q",str(limb_q))
text_file = open("./src/curves/"+curve_name_lower+".rs", "w")
n = text_file.write(content)
text_file.close()
with open("./src/curve_templates/test.rs", "r") as test_file:
content = test_file.read()
content = content.replace("CURVE_NAME_U",curve_name_upper)
content = content.replace("CURVE_NAME_L",curve_name_lower)
text_file = open("./src/test_"+curve_name_lower+".rs", "w")
n = text_file.write(content)
text_file.close()
with open('./src/curves/mod.rs', 'r+') as f:
mod_text = f.read()
if mod_text.find(curve_name_lower) == -1:
f.write('\npub mod ' + curve_name_lower + ';')
with open('./src/lib.rs', 'r+') as f:
lib_text = f.read()
if lib_text.find(curve_name_lower) == -1:
f.write('\npub mod ' + curve_name_lower + ';')

5
icicle/README.md
View File

@@ -4,10 +4,9 @@
```sh
mkdir -p build;
cmake -DBUILD_TESTS=ON -DCURVE=<support_curve> -S . -B build;
cmake -DBUILD_TESTS=ON -DCURVE=<supported_curve> -S . -B build;
cmake --build build;
cd build && ctest;
cd ..
./build/runner --gtest_brief=1
```
The command above will build ICICLE Core and run the ctest.

4
icicle/appUtils/msm/msm.cu
View File

@@ -868,8 +868,8 @@ namespace msm {
if (!are_points_on_device || are_points_montgomery_form) {
// by this point, points need to be already uploaded and un-Montgomeried
cudaStreamWaitEvent(stream, event_points_uploaded);
cudaStreamDestroy(stream_points);
CHK_IF_RETURN(cudaStreamWaitEvent(stream, event_points_uploaded));
CHK_IF_RETURN(cudaStreamDestroy(stream_points));
}
// launch the accumulation kernel with maximum threads

20
icicle/appUtils/ntt/ntt.cu
View File

@@ -405,7 +405,7 @@ namespace ntt {
cudaMemcpyAsync(Domain<S>::twiddles, &h_twiddles.front(), n * sizeof(S), cudaMemcpyHostToDevice, ctx.stream));
Domain<S>::max_size = n - 1;
cudaStreamSynchronize(ctx.stream);
CHK_IF_RETURN(cudaStreamSynchronize(ctx.stream));
}
return CHK_LAST();
@@ -420,8 +420,8 @@ namespace ntt {
int batch_size = config.batch_size;
int logn = int(log(size) / log(2));
int input_size_bytes = size * batch_size * sizeof(E);
bool is_input_on_device = config.are_inputs_on_device; // TODO: unify name to is_
bool is_output_on_device = config.are_outputs_on_device;
bool are_inputs_on_device = config.are_inputs_on_device; // TODO: unify name to is_
bool are_outputs_on_device = config.are_outputs_on_device;
S* coset = nullptr;
int coset_index = 0;
@@ -435,20 +435,20 @@ namespace ntt {
for (int i = 1; i < size; i++) {
h_coset.push_back(h_coset.at(i - 1) * coset_gen);
}
cudaMallocAsync(&coset, size * sizeof(S), stream);
cudaMemcpyAsync(coset, &h_coset.front(), size * sizeof(S), cudaMemcpyHostToDevice, stream);
CHK_IF_RETURN(cudaMallocAsync(&coset, size * sizeof(S), stream));
CHK_IF_RETURN(cudaMemcpyAsync(coset, &h_coset.front(), size * sizeof(S), cudaMemcpyHostToDevice, stream));
h_coset.clear();
}
E* d_input;
if (is_input_on_device) {
if (are_inputs_on_device) {
d_input = input;
} else {
CHK_IF_RETURN(cudaMallocAsync(&d_input, input_size_bytes, stream));
CHK_IF_RETURN(cudaMemcpyAsync(d_input, input, input_size_bytes, cudaMemcpyHostToDevice, stream));
}
E* d_output;
if (is_output_on_device) {
if (are_outputs_on_device) {
d_output = output;
} else {
CHK_IF_RETURN(cudaMallocAsync(&d_output, input_size_bytes, stream));
@@ -475,12 +475,12 @@ namespace ntt {
reverse_input ? d_output : d_input, size, Domain<S>::twiddles, Domain<S>::max_size, batch_size, logn,
dir == NTTDir::kInverse, ct_butterfly, coset, coset_index, stream, d_output));
if (!is_output_on_device)
if (!are_outputs_on_device)
CHK_IF_RETURN(cudaMemcpyAsync(output, d_output, input_size_bytes, cudaMemcpyDeviceToHost, stream));
if (coset) CHK_IF_RETURN(cudaFreeAsync(coset, stream));
if (!is_input_on_device) CHK_IF_RETURN(cudaFreeAsync(d_input, stream));
if (!is_output_on_device) CHK_IF_RETURN(cudaFreeAsync(d_output, stream));
if (!are_inputs_on_device) CHK_IF_RETURN(cudaFreeAsync(d_input, stream));
if (!are_outputs_on_device) CHK_IF_RETURN(cudaFreeAsync(d_output, stream));
if (!config.is_async) return CHK_STICKY(cudaStreamSynchronize(stream));
return CHK_LAST();

30
icicle/appUtils/poseidon/poseidon.cu
View File

@@ -139,6 +139,8 @@ template <typename S>
__host__ cudaError_t
Poseidon<S>::hash_blocks(const S* inp, size_t blocks, S* out, HashType hash_type, cudaStream_t stream)
{
CHK_INIT_IF_RETURN();
S* states;
// allocate memory for {blocks} states of {t} scalars each
@@ -146,11 +148,11 @@ Poseidon<S>::hash_blocks(const S* inp, size_t blocks, S* out, HashType hash_type
// This is where the input matrix of size Arity x NumberOfBlocks is
// padded and coppied to device in a T x NumberOfBlocks matrix
cudaMemcpy2DAsync(
CHK_IF_RETURN(cudaMemcpy2DAsync(
states, this->t * sizeof(S), // Device pointer and device pitch
inp, (this->t - 1) * sizeof(S), // Host pointer and pitch
(this->t - 1) * sizeof(S), blocks, // Size of the source matrix (Arity x NumberOfBlocks)
cudaMemcpyHostToDevice, stream);
cudaMemcpyHostToDevice, stream));
size_t rc_offset = 0;
@@ -187,7 +189,7 @@ Poseidon<S>::hash_blocks(const S* inp, size_t blocks, S* out, HashType hash_type
rc_offset += this->t;
#if !defined(__CUDA_ARCH__) && defined(DEBUG)
cudaStreamSynchronize(stream);
CHK_IF_RETURN(cudaStreamSynchronize(stream));
std::cout << "Domain separation: " << rc_offset << std::endl;
// print_buffer_from_cuda<S>(states, blocks * this->t);
@@ -198,12 +200,12 @@ Poseidon<S>::hash_blocks(const S* inp, size_t blocks, S* out, HashType hash_type
#endif
// execute half full rounds
full_rounds<<<number_of_blocks, number_of_threads, sizeof(S) * hashes_per_block * this->t, stream>>>(
full_rounds<<<number_of_blocks, number_of_threads, this->t * sizeof(S) * hashes_per_block, stream>>>(
states, blocks, rc_offset, true, this->config);
rc_offset += this->t * this->config.full_rounds_half;
#if !defined(__CUDA_ARCH__) && defined(DEBUG)
cudaStreamSynchronize(stream);
CHK_IF_RETURN(cudaStreamSynchronize(stream));
std::cout << "Full rounds 1. RCOFFSET: " << rc_offset << std::endl;
// print_buffer_from_cuda<S>(states, blocks * this->t);
@@ -219,7 +221,7 @@ Poseidon<S>::hash_blocks(const S* inp, size_t blocks, S* out, HashType hash_type
rc_offset += this->config.partial_rounds;
#if !defined(__CUDA_ARCH__) && defined(DEBUG)
cudaStreamSynchronize(stream);
CHK_IF_RETURN(cudaStreamSynchronize(stream));
std::cout << "Partial rounds. RCOFFSET: " << rc_offset << std::endl;
// print_buffer_from_cuda<S>(states, blocks * this->t);
@@ -230,11 +232,11 @@ Poseidon<S>::hash_blocks(const S* inp, size_t blocks, S* out, HashType hash_type
#endif
// execute half full rounds
full_rounds<<<number_of_blocks, number_of_threads, sizeof(S) * hashes_per_block * this->t, stream>>>(
full_rounds<<<number_of_blocks, number_of_threads, this->t * sizeof(S) * hashes_per_block, stream>>>(
states, blocks, rc_offset, false, this->config);
#if !defined(__CUDA_ARCH__) && defined(DEBUG)
cudaStreamSynchronize(stream);
CHK_IF_RETURN(cudaStreamSynchronize(stream));
std::cout << "Full rounds 2. RCOFFSET: " << rc_offset << std::endl;
// print_buffer_from_cuda<S>(states, blocks * this->t);
end_time = std::chrono::high_resolution_clock::now();
@@ -245,23 +247,23 @@ Poseidon<S>::hash_blocks(const S* inp, size_t blocks, S* out, HashType hash_type
// get output
S* out_device;
cudaMalloc(&out_device, blocks * sizeof(S));
CHK_IF_RETURN(cudaMalloc(&out_device, blocks * sizeof(S)));
get_hash_results<<<number_of_singlehash_blocks, singlehash_block_size, 0, stream>>>(
states, blocks, out_device, this->config.t);
#if !defined(__CUDA_ARCH__) && defined(DEBUG)
cudaStreamSynchronize(stream);
CHK_IF_RETURN(cudaStreamSynchronize(stream));
std::cout << "Get hash results" << std::endl;
end_time = std::chrono::high_resolution_clock::now();
elapsed_time = std::chrono::duration_cast<std::chrono::milliseconds>(end_time - start_time);
std::cout << "Elapsed time: " << elapsed_time.count() << " ms" << std::endl;
#endif
cudaMemcpyAsync(out, out_device, blocks * sizeof(S), cudaMemcpyDeviceToHost, stream);
cudaFreeAsync(out_device, stream);
cudaFreeAsync(states, stream);
CHK_IF_RETURN(cudaMemcpyAsync(out, out_device, blocks * sizeof(S), cudaMemcpyDeviceToHost, stream));
CHK_IF_RETURN(cudaFreeAsync(out_device, stream));
CHK_IF_RETURN(cudaFreeAsync(states, stream));
#if !defined(__CUDA_ARCH__) && defined(DEBUG)
cudaDeviceReset();
CHK_IF_RETURN(cudaDeviceReset());
#endif
return CHK_LAST();
}

2
icicle/appUtils/poseidon/poseidon.cuh
View File

@@ -12,7 +12,7 @@ template <typename S>
__host__ void print_buffer_from_cuda(S* device_ptr, size_t size, size_t t)
{
S* buffer = static_cast<S*>(malloc(size * sizeof(S)));
cudaMemcpy(buffer, device_ptr, size * sizeof(S), cudaMemcpyDeviceToHost);
CHK_LOG(checudaMemcpy(buffer, device_ptr, size * sizeof(S), cudaMemcpyDeviceToHost));
std::cout << "Start print" << std::endl;
for (int i = 0; i < size / t; i++) {

1
icicle/appUtils/poseidon/poseidon_test.cu
View File

@@ -1,3 +1,4 @@
// TODO: add to gtest or remove
// #define DEBUG
#include "../../curves/bls12_381/curve_config.cuh"

5
icicle/test.sh
View File

@@ -1,5 +0,0 @@
rm -R build
mkdir -p build
cmake -DBUILD_TESTS=ON -DCMAKE_BUILD_TYPE=Release -DCURVE=bn254 -S . -B build
cmake --build build
./build/runner --gtest_brief=1

4
icicle/tests/device_error_test.cu
View File

@@ -1,4 +1,4 @@
#include "err.h" // Include your error handling header file
#include "../utils/error_handler.cuh" // Include your error handling header file
#include <gtest/gtest.h>
__global__ void a_kernel_with_conditional_sticky_error(bool is_failing)
@@ -9,7 +9,7 @@ __global__ void a_kernel_with_conditional_sticky_error(bool is_failing)
assert(cudaGetLastError() == cudaSuccess);
assert(cudaGetLastError() == cudaSuccess);
// Deliberately assert false
assert(!is_failing); // TODO: sticky according to https://stackoverflow.com/a/43659538
assert(!is_failing);
}
}

4
icicle/tests/error_handler_test.cu
View File

@@ -9,14 +9,14 @@ protected:
TEST_F(IcicleErrorTest, UndefinedErrorString)
{
std::string expected = "Undefined error occurred.";
std::string expected = "Undefined error occurred";
EXPECT_EQ(IcicleGetErrorString(IcicleError_t::UndefinedError), expected);
}
TEST_F(IcicleErrorTest, UnknownErrorCodeString)
{
// Using a made-up error code to test the default case
std::string expected = "Unknown error code.";
std::string expected = "Unknown error code";
EXPECT_EQ(IcicleGetErrorString(static_cast<IcicleError_t>(999)), expected);
}

5
icicle/tests/runner.cu
View File

@@ -3,9 +3,10 @@
#include <iostream>
// include list of test files
#include "device_error_test.cu"
#include "error_handler_test.cu"
// Ensure the device_error_test.cu is last to prevent aborting mid-test run
#include "primitives_test.cu"
#include "error_handler_test.cu"
#include "device_error_test.cu"
int main(int argc, char** argv)
{

7
icicle/utils/error_handler.cuh
View File

@@ -12,7 +12,7 @@ enum class IcicleError_t {
IcicleSuccess = 0,
InvalidArgument = 1,
MemoryAllocationError = 2,
UndefinedError = 999999999, // Assigning 0 as the value for UndefinedError
UndefinedError = 999999999,
};
std::string inline IcicleGetErrorString(IcicleError_t error)
@@ -25,9 +25,9 @@ std::string inline IcicleGetErrorString(IcicleError_t error)
case IcicleError_t::MemoryAllocationError:
return "Memory allocation error";
case IcicleError_t::UndefinedError:
return "Undefined error occurred.";
return "Undefined error occurred";
default:
return "Unknown error code.";
return "Unknown error code";
}
}
@@ -105,7 +105,6 @@ void inline throwIcicleCudaErr(
void inline throwIcicleErr(
IcicleError_t err, const char* const reason, const char* const func, const char* const file, const int line)
{
// TODO: fmt::format introduced only in C++20
std::string err_msg =
std::string{IcicleGetErrorString(err)} + " : by: " + func + " at: " + file + ":" + std::to_string(line);
std::cerr << err_msg << std::endl; // TODO: Logging

6
icicle/utils/vec_ops.cu
View File

@@ -38,6 +38,8 @@ namespace vec_ops {
cudaError_t
Mul(S* vec_a, E* vec_b, int n, bool is_on_device, bool is_montgomery, device_context::DeviceContext ctx, E* result)
{
CHK_INIT_IF_RETURN();
// Set the grid and block dimensions
int num_threads = MAX_THREADS_PER_BLOCK;
int num_blocks = (n + num_threads - 1) / num_threads;
@@ -73,6 +75,8 @@ namespace vec_ops {
template <typename E>
cudaError_t Add(E* vec_a, E* vec_b, int n, bool is_on_device, device_context::DeviceContext ctx, E* result)
{
CHK_INIT_IF_RETURN();
// Set the grid and block dimensions
int num_threads = MAX_THREADS_PER_BLOCK;
int num_blocks = (n + num_threads - 1) / num_threads;
@@ -106,6 +110,8 @@ namespace vec_ops {
template <typename E>
cudaError_t Sub(E* vec_a, E* vec_b, int n, bool is_on_device, device_context::DeviceContext ctx, E* result)
{
CHK_INIT_IF_RETURN();
// Set the grid and block dimensions
int num_threads = MAX_THREADS_PER_BLOCK;
int num_blocks = (n + num_threads - 1) / num_threads;

32
test_vectors/B0.csv
View File

@@ -1,32 +0,0 @@
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077afd81860c0b18b53602c32718f13b201b613551a451df725e6111e8d4a05bf30b30f76648feb841c6af08631901860b0d15ae8e47f8fc331b311b9bac27fa441cc931f3e8494a6e00f8e057a900672be351a707e503b1e36d39a825a5d146
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18df179320a2ccdbaa1c1b9e4645ef982dc69dcbbb8fbb2568478bdbef48379a3132a9e35c4b68bd83e26f9318835a0a104046222b49e948ab2ea1af24751cfe30ef4e5925f89ba879e13e03f508c4bef0e8cb9cb281c15a329660e3f9a619d6
02252df8a50a5b2f5ae88572841a08580269257794fa7d1d7f2f4bc3440965588074b3a8512a8f265ec6b624a0ba64ba188bc88ff51cb97cdce03eb1b307a5df01ff71919ddc4d6fc206f144ecd766c6b8a7b09160b5f80e5782929dfa4013de
04038a1dc80c7e4510abbdd4e47e8dcd20f7a815868f67de979f9420e141896fc3b94bf72010ccc86e47583588baff2206d3ecd127ac43640dedd8c030fb28dea75a1276df341d59ce1ec58a1fd544f06800d8b7fe1290260dde8e5102378a76
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128750a071c300d37adebb8376d857cbee81ec1c9b0ad18321d970b02e3b15fc82aafbfbba1af75566679bd1ec7cb6c71825cbebc5764e1c0fa7b0a3b3e9ac7033c9ed4b1ef93725b3d9caf637df8fb27cb45a1bc87aedc965c8ad750949d511
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test_vectors/B1.csv
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test_vectors/K0.csv
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test_vectors/K1.csv
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417 12eb2e4395259496f94cccfe5e06b8b9fe9265398f8e762a0c95b4cec40547de3394d22a4184651c0a48ac416f606d75024a5eaf8113c4c8bd29c7448abfd7533b480d838b78a38fa42503d8b635248d056650e04993089633b6ec67480e9b79
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456 033379774e0a522d60a39ee1b8da0decc48b95fa0e8167e9a3de71c19148d5865cc3c9fc467a3fcc769cea60175a21b2147accc004ca39b8aec3c940e001dfcfe8be09334d696b722400bfcf56f2bd918ea04fe349f50491113a8ffb639b91e5
457 1209883cee4190ea7d0cd6310df89b13fdce449fca35270d16ebc495751c31921d8f91910a8484ba81401d5b6c7e6c240cbaf7372c226929f40cc3e73a6aef10531242422e2d4615524d89eaba484ccfb8e81d3bee4d45478bb23ba5163ea5f0
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463 1068aa0dd211dd02e99cd6ca6fd105b5471839ac79a953b06a5e88ba36c31ff0d9163e3b78962dd5ab2d9accc4284fdb08ec56508cc021705fbdcbab34023583f0113d712e061bfaacd39434ccefbd258cf91e16a06321dd7d61fc5d95c7eb81
464 0de7084cee6963fd786888fc8a0b29be6dd256e06dd8985207c8f77fef9f09864ef18fa301d103829df66de697f9bc5d04720d56674bf35cde8afb93a55531028213f28c28be28357561c2c37da8ec7c1630b35a6fea620d652909a5d7d3eef3
465 178caa468ac8447df527c0e89d2c08a24117ef903d1361afab08ce1062b00439ef574919072142a6b47332cd27949e8105984a6fef24f6fcc7c19916d0a94f0558e14daca957d66de902c05ce911681ab6c423222a0f50b242c3dc98e25a418c
466 06338799a3828ed38a36108dad76fa1afff9846187f8ea502c83bf59ceb59151146d88507c1c103bfa7f35ca9cf6583413f4d7e9f435e8ebbd16d47c7128dc7e06e66d5a8232f22a8c78500544725956d6558ab80e0497c82f08379c0f948546
467 0a3c111d6a3114ce7ecc80acf99ccd393eb7de6d96361ca44115cd0766b0245911b2bcabf64ccb955e24a98cfe479ca90647086d2736939e5e7d77e7fc40e28885b58a1c97d2aaec2aaebddd96b7ba42ff97ac25e7f9037518b9998050d7fefc
468 10644a8e082bb80f06aff4139e999161e8f7dc17ed18a359f8bda88cf1d7c291441512b27f8209de993394f0c542d14711d2a69aaa7b1740cb7c69e8dfb93eeb0521b56eaedeb2e1c35a7f19fd3fba421d8ddd8f96c280a4f75a74984e758984
469 0507e0dc498b484f459c9ffca5ba097e8d2c1527f510c238c38b1a82babc1ce70601592eb3f79d22efa167aaa68315c70c53eb0babd596db63edb5d4dae31776cdc53e1a38b3aaf4c757c33a345e4f12efde70b458feba4f8f16c3d626b07517
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473 03903038fb1ca203de4bb7208a3c1caad8a9cab77511cf489dd363c92c0aa26c4d1d0d48a5de6d4d50354ae945f8a48514b1757d67dbdd0d069122c31b9794d00e157228a0543f9c6ba665fd58603ea097b47fddc5206cb71bffe54023c39ca0
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476 013842f64312c5fbd16547cbf119ffe625f8232178628a0cf6d5ef991d85569bc678e9954321cdd82fd6132523f4738b147f4fbca360c3069c00738eae4771e11f0aa4ecbc07760e8945ddf7462a86ad0164f50da2d5e5c66700c3c6b8f6dde3
477 04980223ae8fd15fb2ccab5c49f6d3c83b09b5c6a016b2df8d4ef60fcf058a6d20ef9ceba93c32b0d3a8f5de963d403611d28c8e7aa59de7220f3fd4fcc558bfd592f7457d0e335ffca07e7749fd84c690df2024aaed6b52092d07fc36ecea7c
478 148db2cfce2763b89e50cf6e10b145028fd47b55a6eb75f32f03c6b6883e081a1145809cbaf4bd4c6d102ee6ecf9afdc11794d63c3a25031d5d5eb77b3175214caadf34388e8c95d988a39b3c209d29418a3cd348b6f61c6236d8346dafbe15d
479 0ec0a0085f74882d9fae3abaecdd5e04aea7592bb9e2eb44bc46586db110bc9e055ca16c16070dc6a5041f88a724c521128fd57ab18797d8363b46ffda6f5e7e900616e98c83e13343a6aa1a47fdaeae4bd9a98157b08b4ed39e5b52966e8558
480 0aceb6c8d00afd0b1d806e944f2a8ad1e560647dc04f17d81ba81fb12e054b5851736879530086693a0a61162bf6d7631395e646ba406c755a64d2320947663ca20fb66bcfe73e786a7eca21da917aca2b4cb151ac129dc55538f02d0afd77a6
481 01e9f9549718df49c5d40dc879a3e944d509afa033a8d05fddaa760927cb1de5b5501dcec8417e0f6222b7e7102050a7006a54e880491a810ec803c57187bf1ec7d0c9ef563903a28ab7ac13316186205180e2bbbd527ce9594f7bd74af52f82
482 1747cce15ef09b952326f34ecb11c5e6dc2d4e9244e7ff0ed0056c37683668a35402d7395fcf10883d5646ddc826847c0beebb02ffb9907f9fda8916cc81ae38e556ab38308a3635a5c3697df167ce58f216c377a3c7778e28f71849514c2fef
483 16a1bdfded91d0de6ad91cbf291f1564288b766c7c86f79c65a66ea3f96b961645a1efe992102665129afd2ad3a5071f07150bb7bcb470efb0a90b72ad67fc8af6ecd1ff3809b7d4bbcbc193fb1e57ccf4f21ab15fcba593d62370ee18b85525
484 0eb8e31ef5ff0bed061e3d8915b309a7518638569586ed751e54ba19d78dc84c88df8c8a5416a5d92f2390a2742b6e3f145480051c6d0fa21b5f67e6d688cb556bc9670c56405a761e34b22d738a9c2f7a8ac19607f472fcb62262d8983b5b29
485 074573fe12579a6074a81bb612ccba6e2b28f2e5eeb04fa1c5075f05a86f8bdc85f6db04e5db3bea5a8929b8e8171d3500b03bc259f4dd30878ef9347c46b78f60d71f2a36328fd20441df9693376f933f6b224fa7a803a07c055d80f35c699b
486 0d96bab016480a589d6e7ada19e5ea1b32975a88055f9255728b922970d521317c19919b6e0c67e206bb1c7c3a084bab139c74991ad317c044236a8561b4528df02311cf7a2f9c8d65e1d40ff814197b55b6cbdf3461451fed02d04a31d98934
487 04cd73e277010cbe83aef68ede9350208cfe15d5fdab8de5f196b1880666e140a8d665148b10bc471f11e38f53d0f2f71650ea3b7c92df46065d8c99ab633d65dc29c813c38fe5320bd2ba7009221f75681e5d9e4035b0352bd233c0100d0125
488 1105c5a4e2eab81eb60b9ebb3e9e95610a10d4d44e943fd5d2809938ce0f87c962b9ae4d3495c915da8b0c186196a34418767415f900851df5f3eaf088fa5b4a88e8373184d189890767e109100c06ee4ba1e6b4758043fbac87831cea947901
489 14126dd31806d3f527fb8588b3714c3712074183c98350db60bbdb68d2c8d2cee42eac66db5623eebb00795399700bb2170dc4cf45e6a449128f1a676c4b712d49834b430aebbb89f582f19629b076c27ad3c7f04bfb6d6b367b8f3f33a5cb37
490 07052d6de0d7e0d68cd6194662f0485e68e215627ee92c3489e80ec56f6c5e3682cf49dfda1b1991b8af1523adcd4794043b70e611825457641c6660cc0336e57e832ddc173f2598a48d7177db5ede07433972e278e9888fa2a50ab546e669a7
491 0a120aee365336eddca968bfbfd94293be2a277741fdeb2af723cb441955c7858ad85c108d39df6669ad030bfbb0224a0a6544f3e4ba5549af8407b8ea3dc022be08b824ee783a4cc6f51af4aa0f43e7eb974570132bd7c4eab5738610529f1f
492 19e6584532c4b5972617a5d398ca7fcc786d9e1db224b1f1006b05058fe25285d6c8841d39a748f59bae2b0ddcfb707a041b9a72994335cb51b5109384611fce0e8d4d90f9f101cc2c2f36f785642615fb0696215dafad15e6aac09d5abab0b9
493 07de0fab9dafeacf7235da8e0512717402dc0a189f50e10eb26093cb25fd23e87b51c3e2a6e1f44a4a6d4c79fa1af211107f1b1a44871e107c04764c8260d7a1991a9ecdc136f1b54ec54d4fc042556baa560d450b6525058d6e1fd6c2a4511d
494 09d1f6db45a3531776c974d99b0cca656f42c4dd5ae5082446399589aa2d7c91cbea5cd47dd01966c30b84ab9179377b161f3bc490e96cf412869925e41d26a366ea6e99504678b90e007aa1f8aa63e9c9dd18bfab525d8573a155fc2a9dd9a0
495 0bfa8816fff1ed836861844d58c6ead82185030dc59f7a2accc33bb5f68e538e5422061fce08d8edcae20e8d7d80463102c63d71a4c638d70549488e34a0b6ecff0ff0dbb2299927fc0bdb3b0d23cbf4ef7f4d4b26d1fcc4d7f95c9400d93959
496 0ed7e0f0ed8ec306ae2f429716162816f55495b8e4b0093ae94cd805acd14f9412d908c06f6f685b21a936ac85a6506b141b9158fdb04563442346877d1580d21915a03964b3b028b69245dfcc30d6c98151f6f846d12b8e5a46ee318d66b1d8
497 14014a2dad1ee139c93f7d184b0cbbf5f8c7b1d02855dfabaff68793af270b6524562f9a47ab0291f0a016bbd09469820ca33356f2952d1336df3d414b0a0bf194127af09bc6f9576c2baafd8a7745e9dc6a08f62790014ac85ecbe862755b34
498 0ed29aedaf215e3d4a2c0e5ad82455b8e06920592f403b8bdcde190a9ca8a80e4c156f9bd714e842362f229699c2898c0d80d8078d85a87ca7ea72b048eb3a95f6edfd850d6710f6d6b89e779d269974ae74401e5566f9c07d727dc6434a6107
499 0669e7a0b1a2320de77eaa920790eadfffedec4b8b106392abb19a906fc9d47a00307ac33cf8d79321d1ecc649777ee614114f8f5b4869a0a1f0e279867e2a4feeeaf373f8444014722b9a585ae2ede03d07a504489838a4ddba390fb84fd057
500 17f4feac2d6593799942c5404326cb7dbd139d54a2d38b0d81ccf739c05602672c31bc6650458c0a625d0b8a39ae350b16f230dce8c1fe1da057848919755e46ca42e46eea05ddc4172a63b25426bfaec59b4ef093bbefc5ffc6824b3fbef75c
501 13cc3841d7c11f3ee448e726ecd91fc46c27a0ff99f36a2378a0448c9b51b41a202fd9818fe75ca4cb065fda5c4fcaf805de2d5ead6e4bc9943f71a5d9b8f99c87329b70ddc2d68e61cf0ac5cb44b503da4bdd004d75d5c76120695b1feccbeb
502 136883b100325a0eaa9c6aefade7165765c173429762387ac054ec780320188a2c7f04b6e4b55d633d971cc362f2bb7c07139b232931291370749daafa97b4726a5f80c1c9eec8cfdcd48a0dcac652560e8a58bcb8ce40d3320509808088f251
503 0eb7ea866712bfa1a6bb673961107a9e9c6452fc97d1ea37b75e021ad5a910cadd9a6cae7ae7dd9c34a07dded2477b7e093710759fefa0f1ca6c3c6c9d0a201f78193c7c6d66784e4b936d96ee2278caddb954fa8f805463870cbfb82fc5ce47
504 0cfc9b317fcf48bce14d339efded516861254270ff3072c0b36e962b1a89d59eed4c83122b5173e72bc1924547610dc118e151125da18b20ba1f85fd7d059bad8edb22227305bfc1b0fb54d6ffa46615e519bd3a96c7dcedba2b9373b4a55ef3
505 014ffb3431183d740221f3f3b756c6557aa1c78f358d98fd7b9b412810c804bdf5d78689fc3c05a8a360a13fc21d521a18d7e48996405302b1fada9fcb5b41782a237349eafa5ca3a06007644256f7c0c09dc9af5fb5a6b095f22eb4f0753714
506 06d8dcffaa8749c4012543b6a9db0905c13c2461566702e5880ae5b29a82387c656ddf9f65886998c1f2e7ff5f28593d0564f305c1a469371be95ec7493b3330642edbb39c16d29d941c6dcfefc93a383c9a99ddc360ffca639030d218878760
507 1224eefdbda9d9c2b7b3726272efaa7b4edb2f3212be61b750a2d7c931cbe13f45e1f98d4afbf4a089e63eef1e82a48113d415be75c41e9c4721c37872919e20587b6b0fe485a60bd411a406addb56c924edc616aac0dcb9b6e43c46091c9a09
508 19064f8f97c935ea2af5bdf164d831a23f39fa35ccfeaf3890bbaf953284defcdc315a27f492e68e451a7ed197d735c4121628913c7255acaba1224f164c422683c213143ea3e33be9428996ad0a518d8464cfa669f44ef26f15e8f167867c1b
509 0e077e0faf1ac45c73dc1e9929eb481cacff6ace1c9a3b66378bb0961f7da1096d37c77b4c60208a20c5d41f54286ef213b9c02d0dd8a5503a1b9c1d9ecc319346c26365faac1484eff5b07465f06888e2a03fa4748e2379667680e8837cd4a1
510 13b1740314769fe184ecc995d149058c641b6aa06eeeac8cf32bd2ff0066f3ade3f88098c1d3d4fbbad47c68e87353cf0c87bbfbde001633f8b0d196cb3df12383c8f900a38979ed6d5eb07f14720ab00314dc47016df281ffcff9a9bb35dc92
511 19610488949191236a5ba52aeef245179c1e4eecdc4e1364d47fdc3f73eac0dde0d5ee03136359dc95478b741adbd8f1131181cb44591277c1468b64be9f309dfcdf6832ada979241ca07a9a92f1b8da5edc79a4eedb6c34137036c86fe9404e
512 0261d145ee81787dd591d25832fef2a7f3ffcc5413c11d38cda0430adcda70c14e89da2108ae8b9d4b7eb0dcff8a989e07dba084133fa727920437556ca5ec18caadd357ba3f6e9d65227d7f071551504eaccdd5ab75c6dca656157ae8311121

64
test_vectors/d0.csv
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test_vectors/d1.csv
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64
test_vectors/q.csv
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32
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2
wrappers/rust/icicle-core/Cargo.toml
View File

@@ -1,6 +1,6 @@
[package]
name = "icicle-core"
version = "0.1.0"
version = "1.0.0"
edition = "2021"
authors = [ "Ingonyama" ]
description = "A library for GPU ZK acceleration by Ingonyama"

3
wrappers/rust/icicle-core/src/error.rs
View File

@@ -2,7 +2,6 @@ use std::mem::MaybeUninit;
use icicle_cuda_runtime::error::CudaError;
// use crate::traits::ResultWrap;
use crate::traits::IcicleResultWrap;
#[repr(u32)]
@@ -13,7 +12,7 @@ pub enum IcicleErrorCode {
InvalidArgument = 1,
MemoryAllocationError = 2,
InternalCudaError = 199999999,
UndefinedError = 999999999, // Assigning 0 as the value for UndefinedError
UndefinedError = 999999999,
}
#[derive(Debug, Clone, Copy, Hash, PartialEq, Eq)]

10
wrappers/rust/icicle-core/src/msm/tests.rs
View File

@@ -18,7 +18,7 @@ where
C::ScalarField: ArkConvertible<ArkEquivalent = <C::ArkSWConfig as ArkCurveConfig>::ScalarField>,
C::BaseField: ArkConvertible<ArkEquivalent = <C::ArkSWConfig as ArkCurveConfig>::BaseField>,
{
let test_sizes = [1000, 1 << 18];
let test_sizes = [4, 8, 16, 32, 64, 128, 256, 1000, 1 << 18];
let mut msm_results = DeviceSlice::cuda_malloc(1).unwrap();
for test_size in test_sizes {
let points = C::generate_random_affine_points(test_size);
@@ -48,7 +48,7 @@ where
cfg.are_results_on_device = true;
cfg.are_scalars_on_device = true;
cfg.are_scalars_montgomery_form = true;
msm::<C>(&scalars_d.as_slice(), &points, &cfg, &mut msm_results.as_slice()).unwrap();
msm(&scalars_d.as_slice(), &points, &cfg, &mut msm_results.as_slice()).unwrap();
let mut msm_host_result = vec![Projective::<C>::zero(); 1];
msm_results
@@ -103,10 +103,10 @@ where
cfg.batch_size = batch_size as i32;
cfg.is_async = true;
cfg.are_results_on_device = true;
msm::<C>(&scalars, &points, &cfg, &mut msm_results_1.as_slice()).unwrap();
msm(&scalars, &points, &cfg, &mut msm_results_1.as_slice()).unwrap();
cfg.points_size = (test_size * batch_size) as i32;
cfg.are_points_on_device = true;
msm::<C>(&scalars, &points_d.as_slice(), &cfg, &mut msm_results_2.as_slice()).unwrap();
msm(&scalars, &points_d.as_slice(), &cfg, &mut msm_results_2.as_slice()).unwrap();
let mut msm_host_result_1 = vec![Projective::<C>::zero(); batch_size];
let mut msm_host_result_2 = vec![Projective::<C>::zero(); batch_size];
@@ -174,7 +174,7 @@ where
if test_size < test_threshold {
cfg.bitsize = 1;
}
msm::<C>(&scalars, &points, &cfg, &mut msm_results).unwrap();
msm(&scalars, &points, &cfg, &mut msm_results).unwrap();
let points_ark: Vec<_> = points
.iter()

36
wrappers/rust/icicle-core/src/ntt/tests.rs
View File

@@ -17,7 +17,7 @@ where
{
let ctx = get_default_device_context();
let ark_rou = F::ArkEquivalent::get_root_of_unity(max_size).unwrap();
initialize_domain::<F>(F::from_ark(ark_rou), &ctx).unwrap();
initialize_domain(F::from_ark(ark_rou), &ctx).unwrap();
}
pub fn reverse_bit_order(n: u32, order: u32) -> u32 {
@@ -58,9 +58,9 @@ where
// if we simply transmute arkworks types, we'll get scalars in Montgomery format
let scalars_mont = unsafe { &*(&ark_scalars[..] as *const _ as *const _) };
let config = get_default_ntt_config::<F>();
let config = get_default_ntt_config();
let mut ntt_result = vec![F::zero(); test_size];
ntt::<F>(&scalars_mont, NTTDir::kForward, &config, &mut ntt_result).unwrap();
ntt(&scalars_mont, NTTDir::kForward, &config, &mut ntt_result).unwrap();
assert_ne!(ntt_result, scalars_mont);
let mut ark_ntt_result = ark_scalars.clone();
@@ -72,7 +72,7 @@ where
assert_eq!(ark_ntt_result, ntt_result_as_ark);
let mut intt_result = vec![F::zero(); test_size];
ntt::<F>(&ntt_result, NTTDir::kInverse, &config, &mut intt_result).unwrap();
ntt(&ntt_result, NTTDir::kInverse, &config, &mut intt_result).unwrap();
assert_eq!(intt_result, scalars_mont);
}
@@ -99,18 +99,18 @@ where
.map(|v| v.to_ark())
.collect::<Vec<F::ArkEquivalent>>();
let mut config = get_default_ntt_config::<F>();
let mut config = get_default_ntt_config();
config.ordering = Ordering::kNR;
let mut ntt_result = vec![F::zero(); test_size];
ntt::<F>(&scalars, NTTDir::kForward, &config, &mut ntt_result[..small_size]).unwrap();
ntt(&scalars, NTTDir::kForward, &config, &mut ntt_result[..small_size]).unwrap();
assert_ne!(ntt_result[..small_size], scalars);
config.coset_gen = F::from_ark(test_size_rou);
ntt::<F>(&scalars, NTTDir::kForward, &config, &mut ntt_result[small_size..]).unwrap();
ntt(&scalars, NTTDir::kForward, &config, &mut ntt_result[small_size..]).unwrap();
let mut ntt_large_result = vec![F::zero(); test_size];
// back to non-coset NTT
config.coset_gen = F::one();
scalars.resize(test_size, F::zero());
ntt::<F>(&scalars, NTTDir::kForward, &config, &mut ntt_large_result).unwrap();
ntt(&scalars, NTTDir::kForward, &config, &mut ntt_large_result).unwrap();
assert_eq!(ntt_result, ntt_large_result);
// check that scalars weren't mutated by all the `ntt` calls
assert_eq!(ark_scalars[1], scalars[1].to_ark());
@@ -131,7 +131,7 @@ where
config.coset_gen = F::from_ark(test_size_rou);
config.ordering = Ordering::kRN;
let mut intt_result = vec![F::zero(); small_size];
ntt::<F>(&ntt_result[small_size..], NTTDir::kInverse, &config, &mut intt_result).unwrap();
ntt(&ntt_result[small_size..], NTTDir::kInverse, &config, &mut intt_result).unwrap();
assert_eq!(intt_result, scalars[..small_size]);
ark_small_domain.ifft_in_place(&mut ark_scalars);
@@ -169,11 +169,11 @@ where
.map(|v| F::ArkEquivalent::from_le_bytes_mod_order(&v.to_bytes_le()))
.collect::<Vec<F::ArkEquivalent>>();
let mut config = get_default_ntt_config::<F>();
let mut config = get_default_ntt_config();
config.ordering = Ordering::kNR;
config.coset_gen = F::from_ark(coset_gen);
let mut ntt_result = vec![F::zero(); test_size];
ntt::<F>(&scalars, NTTDir::kForward, &config, &mut ntt_result).unwrap();
ntt(&scalars, NTTDir::kForward, &config, &mut ntt_result).unwrap();
assert_ne!(scalars, ntt_result);
let ark_scalars_copy = ark_scalars.clone();
@@ -187,7 +187,7 @@ where
assert_eq!(ark_scalars, ark_scalars_copy);
config.ordering = Ordering::kRN;
ntt::<F>(&ntt_result, NTTDir::kInverse, &config, &mut scalars).unwrap();
ntt(&ntt_result, NTTDir::kInverse, &config, &mut scalars).unwrap();
let ntt_result_as_ark = scalars
.iter()
.map(|p| p.to_ark())
@@ -205,7 +205,7 @@ where
let batch_sizes = [1, 1 << 4, 100];
for test_size in test_sizes {
let coset_generators = [F::one(), F::Config::generate_random(1)[0]];
let mut config = get_default_ntt_config::<F>();
let mut config = get_default_ntt_config();
for batch_size in batch_sizes {
let scalars: Vec<F> = F::Config::generate_random(test_size * batch_size);
@@ -216,11 +216,11 @@ where
config.ordering = ordering;
config.batch_size = batch_size as i32;
let mut batch_ntt_result = vec![F::zero(); batch_size * test_size];
ntt::<F>(&scalars, is_inverse, &config, &mut batch_ntt_result).unwrap();
ntt(&scalars, is_inverse, &config, &mut batch_ntt_result).unwrap();
config.batch_size = 1;
let mut one_ntt_result = vec![F::one(); test_size];
for i in 0..batch_size {
ntt::<F>(
ntt(
&scalars[i * test_size..(i + 1) * test_size],
is_inverse,
&config,
@@ -246,7 +246,7 @@ where
for test_size in test_sizes {
let coset_generators = [F::one(), F::Config::generate_random(1)[0]];
let stream = CudaStream::create().unwrap();
let mut config = get_default_ntt_config::<F>();
let mut config = get_default_ntt_config();
for batch_size in batch_sizes {
let scalars_h: Vec<F> = F::Config::generate_random(test_size * batch_size);
let sum_of_coeffs: F::ArkEquivalent = scalars_h[..test_size]
@@ -270,14 +270,14 @@ where
config
.ctx
.stream = &stream;
ntt::<F>(
ntt(
&scalars_d.as_slice(),
NTTDir::kForward,
&config,
&mut ntt_out_d.as_slice(),
)
.unwrap();
ntt::<F>(
ntt(
&ntt_out_d.as_slice(),
NTTDir::kInverse,
&config,

6
wrappers/rust/icicle-core/src/traits.rs
View File

@@ -33,12 +33,6 @@ pub trait ArkConvertible {
fn from_ark(ark: Self::ArkEquivalent) -> Self;
}
// pub trait ResultWrap<T, TError>{
// fn wrap(self) -> Result<T, TError>;
// fn wrap_value(self, value: T) -> Result<T, TError>;
// fn wrap_maybe_uninit(self, value: MaybeUninit<T>) -> Result<T, TError>;
// }
pub trait IcicleResultWrap {
fn wrap(self) -> IcicleResult<()>;
fn wrap_value<T>(self, value: T) -> IcicleResult<T>;

3
wrappers/rust/icicle-cuda-runtime/Cargo.toml
View File

@@ -1,11 +1,12 @@
[package]
name = "icicle-cuda-runtime"
version = "0.1.0"
version = "1.0.0"
edition = "2021"
authors = [ "Ingonyama" ]
description = "Ingonyama's Rust wrapper of CUDA runtime"
homepage = "https://www.ingonyama.com"
repository = "https://github.com/ingonyama-zk/icicle"
rust-version = "1.70.0"
[dependencies]
bitflags = "1.3"

4
wrappers/rust/icicle-curves/icicle-bls12-377/Cargo.toml
View File

@@ -1,6 +1,6 @@
[package]
name = "icicle-bls12-377"
version = "0.1.0"
version = "1.0.0"
edition = "2021"
authors = [ "Ingonyama" ]
description = "Rust wrapper for the CUDA implementation of BLS12-377 pairing friendly elliptic curve by Ingonyama"
@@ -13,7 +13,7 @@ icicle-cuda-runtime = { path = "../../icicle-cuda-runtime" }
ark-bls12-377 = { version = "0.4.0", optional = true }
[build-dependencies]
cmake = "*"
cmake = "0.1.50"
[dev-dependencies]
ark-bls12-377 = "0.4.0"

1
wrappers/rust/icicle-curves/icicle-bls12-377/build.rs
View File

@@ -15,6 +15,5 @@ fn main() {
println!("cargo:rustc-link-lib=ingo_bls12_377");
println!("cargo:rustc-link-lib=stdc++");
// println!("cargo:rustc-link-search=native=/usr/local/cuda/lib64");
println!("cargo:rustc-link-lib=cudart");
}

2
wrappers/rust/icicle-curves/icicle-bls12-377/src/curve.rs
View File

@@ -3,7 +3,7 @@ use ark_bls12_377::{g1::Config as ArkG1Config, Fq, Fr};
use icicle_core::curve::{Affine, Curve, Projective};
use icicle_core::field::Field;
use icicle_core::traits::{FieldConfig, FieldImpl, GenerateRandom};
use icicle_core::{impl_field, impl_scalar_field, impl_curve};
use icicle_core::{impl_curve, impl_field, impl_scalar_field};
use icicle_cuda_runtime::device_context::{get_default_device_context, DeviceContext};
pub(crate) const SCALAR_LIMBS: usize = 4;

4
wrappers/rust/icicle-curves/icicle-bls12-381/Cargo.toml
View File

@@ -1,6 +1,6 @@
[package]
name = "icicle-bls12-381"
version = "0.1.0"
version = "1.0.0"
edition = "2021"
authors = [ "Ingonyama" ]
description = "Rust wrapper for the CUDA implementation of BLS12-381 pairing friendly elliptic curve by Ingonyama"
@@ -13,7 +13,7 @@ icicle-cuda-runtime = { path = "../../icicle-cuda-runtime" }
ark-bls12-381 = { version = "0.4.0", optional = true }
[build-dependencies]
cmake = "*"
cmake = "0.1.50"
[dev-dependencies]
ark-bls12-381 = "0.4.0"

1
wrappers/rust/icicle-curves/icicle-bls12-381/build.rs
View File

@@ -15,6 +15,5 @@ fn main() {
println!("cargo:rustc-link-lib=ingo_bls12_381");
println!("cargo:rustc-link-lib=stdc++");
// println!("cargo:rustc-link-search=native=/usr/local/cuda/lib64");
println!("cargo:rustc-link-lib=cudart");
}

2
wrappers/rust/icicle-curves/icicle-bls12-381/src/curve.rs
View File

@@ -3,7 +3,7 @@ use ark_bls12_381::{g1::Config as ArkG1Config, Fq, Fr};
use icicle_core::curve::{Affine, Curve, Projective};
use icicle_core::field::Field;
use icicle_core::traits::{FieldConfig, FieldImpl, GenerateRandom};
use icicle_core::{impl_field, impl_scalar_field, impl_curve};
use icicle_core::{impl_curve, impl_field, impl_scalar_field};
use icicle_cuda_runtime::device_context::{get_default_device_context, DeviceContext};
pub(crate) const SCALAR_LIMBS: usize = 4;

4
wrappers/rust/icicle-curves/icicle-bn254/Cargo.toml
View File

@@ -1,6 +1,6 @@
[package]
name = "icicle-bn254"
version = "0.1.0"
version = "1.0.0"
edition = "2021"
authors = [ "Ingonyama" ]
description = "Rust wrapper for the CUDA implementation of BN254 pairing friendly elliptic curve by Ingonyama"
@@ -13,7 +13,7 @@ icicle-cuda-runtime = { path = "../../icicle-cuda-runtime" }
ark-bn254 = { version = "0.4.0", optional = true }
[build-dependencies]
cmake = "*"
cmake = "0.1.50"
[dev-dependencies]
ark-bn254 = "0.4.0"

1
wrappers/rust/icicle-curves/icicle-bn254/build.rs
View File

@@ -18,6 +18,5 @@ fn main() {
println!("cargo:rustc-link-lib=ingo_bn254");
println!("cargo:rustc-link-lib=stdc++");
// println!("cargo:rustc-link-search=native=/usr/local/cuda/lib64");
println!("cargo:rustc-link-lib=cudart");
}

2
wrappers/rust/icicle-curves/icicle-bn254/src/curve.rs
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@@ -3,7 +3,7 @@ use ark_bn254::{g1::Config as ArkG1Config, Fq, Fr};
use icicle_core::curve::{Affine, Curve, Projective};
use icicle_core::field::Field;
use icicle_core::traits::{FieldConfig, FieldImpl, GenerateRandom};
use icicle_core::{impl_field, impl_scalar_field, impl_curve};
use icicle_core::{impl_curve, impl_field, impl_scalar_field};
use icicle_cuda_runtime::device_context::{get_default_device_context, DeviceContext};
pub(crate) const SCALAR_LIMBS: usize = 4;

4
wrappers/rust/icicle-curves/icicle-bw6-761/Cargo.toml
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@@ -1,6 +1,6 @@
[package]
name = "icicle-bw6-761"
version = "0.1.0"
version = "1.0.0"
edition = "2021"
authors = [ "Ingonyama" ]
description = "Rust wrapper for the CUDA implementation of BN254 pairing friendly elliptic curve by Ingonyama"
@@ -13,7 +13,7 @@ icicle-cuda-runtime = { path = "../../icicle-cuda-runtime" }
ark-bw6-761 = { version = "0.4.0", optional = true }
[build-dependencies]
cmake = "*"
cmake = "0.1.50"
[dev-dependencies]
ark-bw6-761 = "0.4.0"

1
wrappers/rust/icicle-curves/icicle-bw6-761/build.rs
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@@ -15,6 +15,5 @@ fn main() {
println!("cargo:rustc-link-lib=ingo_bw6_761");
println!("cargo:rustc-link-lib=stdc++");
// println!("cargo:rustc-link-search=native=/usr/local/cuda/lib64");
println!("cargo:rustc-link-lib=cudart");
}

2
wrappers/rust/icicle-curves/icicle-bw6-761/src/curve.rs
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@@ -3,7 +3,7 @@ use ark_bw6_761::{g1::Config as ArkG1Config, Fq, Fr};
use icicle_core::curve::{Affine, Curve, Projective};
use icicle_core::field::Field;
use icicle_core::traits::{FieldConfig, FieldImpl, GenerateRandom};
use icicle_core::{impl_field, impl_scalar_field, impl_curve};
use icicle_core::{impl_curve, impl_field, impl_scalar_field};
use icicle_cuda_runtime::device_context::{get_default_device_context, DeviceContext};
pub(crate) const SCALAR_LIMBS: usize = 6;

3
wrappers/rust/rust-toolchain Normal file
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@@ -0,0 +1,3 @@
[toolchain]
channel = "1.70.0"
components = ["rustfmt"]