file_path stringlengths 7 180 | content stringlengths 0 811k | repo stringclasses 11
values |
|---|---|---|
vta/python/vta/top/__init__.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/python/vta/top/bitpack.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/python/vta/top/graphpack.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/python/vta/top/op.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/python/vta/top/utils.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/python/vta/top/vta_conv2d.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/python/vta/top/vta_conv2d_transpose.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/python/vta/top/vta_dense.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/python/vta/top/vta_group_conv2d.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/python/vta/transform.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/runtime/runtime.h | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
vta/scripts/tune_conv2d.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/scripts/tune_conv2d_transpose.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/scripts/tune_dense.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/scripts/tune_group_conv2d.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/scripts/tune_resnet.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tests/python/de10nano/test_program_rpc.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tests/python/integration/test_benchmark_gemm.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tests/python/integration/test_benchmark_topi_conv2d.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tests/python/integration/test_benchmark_topi_conv2d_transpose.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tests/python/integration/test_benchmark_topi_dense.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tests/python/integration/test_benchmark_topi_group_conv2d.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tests/python/pynq/test_program_rpc.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tests/python/unittest/test_environment.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tests/python/unittest/test_vta_insn.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tutorials/autotvm/tune_alu_vta.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tutorials/autotvm/tune_relay_vta.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tutorials/frontend/deploy_classification.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tutorials/frontend/deploy_detection.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tutorials/matrix_multiply.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tutorials/optimize/convolution_opt.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tutorials/optimize/matrix_multiply_opt.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
vta/tutorials/vta_get_started.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
web/apps/node/example.js | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
web/apps/node/wasi_example.js | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
web/apps/node/wasi_rpc_server.js | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
web/emcc/decorate_as_wasi.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
web/emcc/preload.js | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
web/jest.config.js | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
web/rollup.config.js | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
web/tests/node/test_module_load.js | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
web/tests/node/test_ndarray.js | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
web/tests/node/test_packed_func.js | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... | https://github.com/zk-ml/tachikoma |
web/tests/python/prepare_test_libs.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
web/tests/python/webgpu_rpc_test.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
web/tests/python/websock_rpc_test.py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | https://github.com/zk-ml/tachikoma |
host/src/main.rs | use methods::{PREDICTION_ELF, PREDICTION_ID};
use risc0_zkvm::Prover;
use risc0_zkvm::serde::{from_slice, to_vec};
use std::io;
fn main() {
// Make the prover.
let mut prover =
Prover::new(PREDICTION_ELF).expect("Prover should be constructed from valid ELF binary");
// TODO: Implement communicati... | https://github.com/only4sim/ZK-DTP |
methods/build.rs | fn main() {
risc0_build::embed_methods();
}
| https://github.com/only4sim/ZK-DTP |
methods/guest/src/bin/prediction.rs | // TODO: Rename this file to change the name of this method from METHOD_NAME
#![no_main]
// If you want to try std support, also update the guest Cargo.toml file
#![no_std] // std support is experimental
use risc0_zkvm::guest::env;
risc0_zkvm::guest::entry!(main);
pub fn main() {
// TODO: Implement your guest c... | https://github.com/only4sim/ZK-DTP |
methods/src/lib.rs | include!(concat!(env!("OUT_DIR"), "/methods.rs"));
| https://github.com/only4sim/ZK-DTP |
plot_iris_dataset.ipynb | {
"cells": [
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"# The... | https://github.com/only4sim/ZK-DTP |
plot_iris_dtc.ipynb | {"cells":[{"cell_type":"code","execution_count":44,"metadata":{"collapsed":false,"jupyter":{"outputs_hidden":false},"trusted":true},"outputs":[],"source":["%matplotlib inline"]},{"cell_type":"markdown","metadata":{},"source":["\n","# Plot the decision surface of decision trees trained on the iris dataset\n","\n","Plot ... | https://github.com/only4sim/ZK-DTP |
backwards/backward.py | #
# A script for generating a backprop computational graph from forward
#
import argparse
import ast
from typing import Literal, Union
import msgpack
import numpy as np
class CircuitConfig():
def __init__(self, starting_index):
self.next_index = starting_index
self.outp_to_grad = {}
self.l... | https://github.com/ddkang/zkml |
examples/mnist/data_to_npy.py | import tensorflow as tf
import numpy as np
import msgpack
from tensorflow import keras
mnist = tf.keras.datasets.mnist
(images_train, labels_train), (images_test, labels_test) = mnist.load_data()
x = images_test[0]
y = labels_test[0]
print(y)
x = x.flatten() / 255.
x = x.astype(np.float32)
print(x.dtype, x.shape)
np... | https://github.com/ddkang/zkml |
python/converter.py | import argparse
import ast
from typing import Literal, Union
import tensorflow as tf
import numpy as np
import tflite
import msgpack
def get_shape(interpreter: tf.lite.Interpreter, tensor_idx):
if tensor_idx == -1:
return []
tensor = interpreter.get_tensor(tensor_idx)
return list(tensor.shape)
def handle_nu... | https://github.com/ddkang/zkml |
python/input_converter.py | import argparse
import ast
import numpy as np
import msgpack
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--model_config', type=str, required=True)
parser.add_argument('--inputs', type=str, required=True)
parser.add_argument('--output', type=str, required=True)
args = parser.parse_args... | https://github.com/ddkang/zkml |
python/training_converter.py | # A converter for training data
# Performs the conversion npy -> msgpack
# TODO: Ensure that training works with models that take in multiple input shapes
#
# Shortcut:
# `python3 python/training_converter.py --input_shapes 7,7,320 --input_idxes 1,0 --output training_data/inputs.msgpack --labels_output training_data/... | https://github.com/ddkang/zkml |
src/bin/test_circuit.rs | use halo2_proofs::{dev::MockProver, halo2curves::bn256::Fr};
use zkml::{
model::ModelCircuit,
utils::{
helpers::get_public_values,
loader::{load_model_msgpack, ModelMsgpack},
},
};
fn main() {
let config_fname = std::env::args().nth(1).expect("config file path");
let inp_fname = std::env::args().nth(... | https://github.com/ddkang/zkml |
src/bin/time_circuit.rs | use halo2_proofs::halo2curves::{bn256::Fr, pasta::Fp};
use zkml::{
model::ModelCircuit,
utils::{proving_ipa::time_circuit_ipa, proving_kzg::time_circuit_kzg},
};
fn main() {
let config_fname = std::env::args().nth(1).expect("config file path");
let inp_fname = std::env::args().nth(2).expect("input file path");... | https://github.com/ddkang/zkml |
src/bin/verify_circuit.rs | use halo2_proofs::halo2curves::bn256::Fr;
use zkml::{
model::ModelCircuit,
utils::{loader::load_config_msgpack, proving_kzg::verify_circuit_kzg},
};
fn main() {
let config_fname = std::env::args().nth(1).expect("config file path");
let vkey_fname = std::env::args().nth(2).expect("verification key file path");
... | https://github.com/ddkang/zkml |
src/bin/verify_wav.rs | use std::fs::File;
use halo2_proofs::{dev::MockProver, halo2curves::bn256::Fr};
use zkml::{
model::ModelCircuit,
utils::{
helpers::get_public_values,
loader::{load_config_msgpack, ModelMsgpack, TensorMsgpack},
},
};
fn main() {
let config_fname = std::env::args().nth(1).expect("config file path");
l... | https://github.com/ddkang/zkml |
src/commitments.rs | pub mod commit;
pub mod packer;
pub mod poseidon_commit;
| https://github.com/ddkang/zkml |
src/commitments/commit.rs | use std::{collections::HashMap, rc::Rc};
use halo2_proofs::{circuit::Layouter, halo2curves::ff::PrimeField, plonk::Error};
use crate::{gadgets::gadget::GadgetConfig, layers::layer::CellRc};
pub trait Commit<F: PrimeField> {
fn commit(
&self,
layouter: impl Layouter<F>,
gadget_config: Rc<GadgetConfig>,
... | https://github.com/ddkang/zkml |
src/commitments/packer.rs | use std::{
cmp::{max, min},
collections::{BTreeMap, HashMap},
marker::PhantomData,
rc::Rc,
};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Value},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression},
poly::Rotation,
};
use ndarray::{Array, IxDyn};
use crate::{
gadgets:... | https://github.com/ddkang/zkml |
src/commitments/poseidon_commit.rs | use std::{collections::HashMap, marker::PhantomData, rc::Rc};
use halo2_gadgets::poseidon::{
primitives::{generate_constants, Absorbing, ConstantLength, Domain, Mds, Spec},
PaddedWord, PoseidonSpongeInstructions, Pow5Chip, Pow5Config, Sponge,
};
use halo2_proofs::{
circuit::Layouter,
halo2curves::ff::{FromUnif... | https://github.com/ddkang/zkml |
src/gadgets.rs | pub mod add_pairs;
pub mod adder;
pub mod bias_div_floor_relu6;
pub mod bias_div_round_relu6;
pub mod dot_prod;
pub mod gadget;
pub mod input_lookup;
pub mod max;
pub mod mul_pairs;
pub mod sqrt_big;
pub mod square;
pub mod squared_diff;
pub mod sub_pairs;
pub mod update;
pub mod var_div;
pub mod var_div_big;
pub mod v... | https://github.com/ddkang/zkml |
src/gadgets/add_pairs.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
poly::Rotation,
};
use super::gadget::{Gadget, GadgetConfig, GadgetType};
type AddPairsConfig = GadgetConfig;
pub struct AddPairsChip<F: Prime... | https://github.com/ddkang/zkml |
src/gadgets/adder.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region, Value},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression},
poly::Rotation,
};
use super::gadget::{Gadget, GadgetConfig, GadgetType};
type AdderConfig = GadgetConfig;
pub struct Adder... | https://github.com/ddkang/zkml |
src/gadgets/bias_div_floor_relu6.rs | use std::{collections::HashMap, marker::PhantomData};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression},
poly::Rotation,
};
use crate::gadgets::gadget::convert_to_u64;
use super::gadget::{Gadget, GadgetConfig, GadgetType};... | https://github.com/ddkang/zkml |
src/gadgets/bias_div_round_relu6.rs | use std::{collections::HashMap, marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region, Value},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression},
poly::Rotation,
};
use crate::gadgets::gadget::convert_to_u64;
use super::gadget::{Gadget, GadgetConfi... | https://github.com/ddkang/zkml |
src/gadgets/dot_prod.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{Advice, Column, ConstraintSystem, Error, Expression},
poly::Rotation,
};
use crate::gadgets::adder::AdderChip;
use super::gadget::{Gadget, GadgetConfig, GadgetType};
ty... | https://github.com/ddkang/zkml |
src/gadgets/gadget.rs | use std::{
collections::{BTreeSet, HashMap},
sync::Arc,
};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::group::ff::PrimeField,
plonk::{Advice, Column, Error, Fixed, Selector, TableColumn},
};
use num_bigint::{BigUint, ToBigUint};
use num_traits::cast::ToPrimitive;
#[derive(Clo... | https://github.com/ddkang/zkml |
src/gadgets/input_lookup.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region, Value},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
};
use super::gadget::{Gadget, GadgetConfig, GadgetType};
pub struct InputLookupChip<F: PrimeField> {
config: Rc<GadgetConfig>,
_marke... | https://github.com/ddkang/zkml |
src/gadgets/max.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
poly::Rotation,
};
use crate::gadgets::gadget::convert_to_u64;
use super::gadget::{Gadget, GadgetConfig, GadgetType};
pub struct MaxChip<F: Pr... | https://github.com/ddkang/zkml |
src/gadgets/mul_pairs.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
poly::Rotation,
};
use super::gadget::{Gadget, GadgetConfig, GadgetType};
type MulPairsConfig = GadgetConfig;
pub struct MulPairsChip<F: Prime... | https://github.com/ddkang/zkml |
src/gadgets/nonlinear.rs | pub mod exp;
pub mod logistic;
pub mod non_linearity;
pub mod pow;
pub mod relu;
pub mod rsqrt;
pub mod sqrt;
pub mod tanh;
| https://github.com/ddkang/zkml |
src/gadgets/nonlinear/exp.rs | use std::{collections::HashMap, marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
};
use super::{
super::gadget::{Gadget, GadgetConfig, GadgetType},
non_linearity::NonLinearGadget,
};
type ExpGadgetCon... | https://github.com/ddkang/zkml |
src/gadgets/nonlinear/logistic.rs | use std::{collections::HashMap, marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
};
use super::{
super::gadget::{Gadget, GadgetConfig, GadgetType},
non_linearity::NonLinearGadget,
};
pub struct Logist... | https://github.com/ddkang/zkml |
src/gadgets/nonlinear/non_linearity.rs | use std::{collections::HashMap, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region, Value},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression, Selector},
poly::Rotation,
};
use crate::gadgets::gadget::convert_to_u128;
use super::super::gadget::Gadget;
use super::supe... | https://github.com/ddkang/zkml |
src/gadgets/nonlinear/pow.rs | use std::{collections::HashMap, marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
};
use super::{
super::gadget::{Gadget, GadgetConfig, GadgetType},
non_linearity::NonLinearGadget,
};
// IMPORTANT: Pow... | https://github.com/ddkang/zkml |
src/gadgets/nonlinear/relu.rs | use std::{collections::HashMap, marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
};
use super::{
super::gadget::{Gadget, GadgetConfig, GadgetType},
non_linearity::NonLinearGadget,
};
pub struct ReluCh... | https://github.com/ddkang/zkml |
src/gadgets/nonlinear/rsqrt.rs | use std::{collections::HashMap, marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
};
use super::{
super::gadget::{Gadget, GadgetConfig, GadgetType},
non_linearity::NonLinearGadget,
};
pub struct RsqrtG... | https://github.com/ddkang/zkml |
src/gadgets/nonlinear/sqrt.rs | use std::{collections::HashMap, marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
};
use super::{
super::gadget::{Gadget, GadgetConfig, GadgetType},
non_linearity::NonLinearGadget,
};
pub struct SqrtGa... | https://github.com/ddkang/zkml |
src/gadgets/nonlinear/tanh.rs | use std::{collections::HashMap, marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
};
use super::{
super::gadget::{Gadget, GadgetConfig, GadgetType},
non_linearity::NonLinearGadget,
};
pub struct TanhGa... | https://github.com/ddkang/zkml |
src/gadgets/sqrt_big.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression},
poly::Rotation,
};
use crate::gadgets::gadget::convert_to_u64;
use super::gadget::{Gadget, GadgetConfig, GadgetType};
type SqrtBig... | https://github.com/ddkang/zkml |
src/gadgets/square.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
poly::Rotation,
};
use super::gadget::{Gadget, GadgetConfig, GadgetType};
pub struct SquareGadgetChip<F: PrimeField> {
config: Rc<GadgetConfig>,
_mar... | https://github.com/ddkang/zkml |
src/gadgets/squared_diff.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
poly::Rotation,
};
use super::gadget::{Gadget, GadgetConfig, GadgetType};
type SquaredDiffConfig = GadgetConfig;
pub struct SquaredDiffGadgetC... | https://github.com/ddkang/zkml |
src/gadgets/sub_pairs.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error},
poly::Rotation,
};
use super::gadget::{Gadget, GadgetConfig, GadgetType};
type SubPairsConfig = GadgetConfig;
pub struct SubPairsChip<F: Prime... | https://github.com/ddkang/zkml |
src/gadgets/update.rs | use std::marker::PhantomData;
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression},
poly::Rotation,
};
use crate::gadgets::gadget::{convert_to_u64, GadgetConfig};
use super::gadget::{Gadget, GadgetType};
type UpdateConfig = ... | https://github.com/ddkang/zkml |
src/gadgets/var_div.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression},
poly::Rotation,
};
use rounded_div::RoundedDiv;
use super::gadget::{convert_to_u128, Gadget, GadgetConfig, GadgetType};
type VarDiv... | https://github.com/ddkang/zkml |
src/gadgets/var_div_big.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression},
poly::Rotation,
};
use rounded_div::RoundedDiv;
use super::gadget::{convert_to_u128, Gadget, GadgetConfig, GadgetType};
pub struct ... | https://github.com/ddkang/zkml |
src/gadgets/var_div_big3.rs | use std::{marker::PhantomData, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Region},
halo2curves::ff::PrimeField,
plonk::{ConstraintSystem, Error, Expression},
poly::Rotation,
};
use rounded_div::RoundedDiv;
use super::gadget::{convert_to_u128, Gadget, GadgetConfig, GadgetType};
pub struct ... | https://github.com/ddkang/zkml |
src/layers.rs | // Generics
pub mod averager;
pub mod arithmetic;
pub mod shape;
// Concrete implementations
pub mod avg_pool_2d;
pub mod batch_mat_mul;
pub mod conv2d;
pub mod div_fixed;
pub mod fully_connected;
pub mod logistic;
pub mod max_pool_2d;
pub mod mean;
pub mod noop;
pub mod pow;
pub mod rsqrt;
pub mod softmax;
pub mod s... | https://github.com/ddkang/zkml |
src/layers/arithmetic.rs | use std::{collections::HashMap, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter},
halo2curves::ff::PrimeField,
plonk::Error,
};
use crate::{gadgets::gadget::GadgetConfig, utils::helpers::broadcast};
use super::layer::{AssignedTensor, CellRc};
pub mod add;
pub mod div_var;
pub mod mul;
pub mod su... | https://github.com/ddkang/zkml |
src/layers/arithmetic/add.rs | use std::{collections::HashMap, rc::Rc, vec};
use halo2_proofs::{
circuit::{AssignedCell, Layouter},
halo2curves::ff::PrimeField,
plonk::Error,
};
use ndarray::{Array, IxDyn};
use crate::{
gadgets::{
add_pairs::AddPairsChip,
gadget::{Gadget, GadgetConfig, GadgetType},
nonlinear::relu::ReluChip,
... | https://github.com/ddkang/zkml |
src/layers/arithmetic/div_var.rs | use std::{collections::HashMap, rc::Rc, vec};
use halo2_proofs::{
circuit::{AssignedCell, Layouter},
halo2curves::ff::PrimeField,
plonk::Error,
};
use ndarray::{Array, IxDyn};
use crate::{
gadgets::{
gadget::{Gadget, GadgetConfig, GadgetType},
mul_pairs::MulPairsChip,
var_div::VarDivRoundChip,
}... | https://github.com/ddkang/zkml |
src/layers/arithmetic/mul.rs | use std::{collections::HashMap, rc::Rc, vec};
use halo2_proofs::{
circuit::{AssignedCell, Layouter},
halo2curves::ff::PrimeField,
plonk::Error,
};
use ndarray::{Array, IxDyn};
use crate::{
gadgets::{
gadget::{Gadget, GadgetConfig, GadgetType},
mul_pairs::MulPairsChip,
var_div::VarDivRoundChip,
}... | https://github.com/ddkang/zkml |
src/layers/arithmetic/sub.rs | use std::{collections::HashMap, rc::Rc, vec};
use halo2_proofs::{
circuit::{AssignedCell, Layouter},
halo2curves::ff::PrimeField,
plonk::Error,
};
use ndarray::{Array, IxDyn};
use crate::{
gadgets::{
gadget::{Gadget, GadgetConfig, GadgetType},
sub_pairs::SubPairsChip,
},
layers::layer::{AssignedTe... | https://github.com/ddkang/zkml |
src/layers/averager.rs | use std::{collections::HashMap, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter},
halo2curves::ff::PrimeField,
plonk::Error,
};
use crate::gadgets::gadget::Gadget;
use crate::gadgets::{adder::AdderChip, gadget::GadgetConfig, var_div::VarDivRoundChip};
use super::layer::{AssignedTensor, CellRc, La... | https://github.com/ddkang/zkml |
src/layers/avg_pool_2d.rs | use std::{collections::HashMap, rc::Rc};
use halo2_proofs::{
circuit::{AssignedCell, Layouter, Value},
halo2curves::ff::PrimeField,
plonk::Error,
};
use ndarray::{Array, IxDyn};
use crate::{
gadgets::gadget::{GadgetConfig, GadgetType},
layers::max_pool_2d::MaxPool2DChip,
};
use super::{
averager::Average... | https://github.com/ddkang/zkml |
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