file_path stringlengths 7 180 | content stringlengths 0 811k | repo stringclasses 11
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docgen/src/main.rs | use regex::Regex;
use std::fs;
use std::path::Path;
fn main() {
// TENSOR DOC
let trait_path = "src/operators/tensor/core.cairo";
let doc_path = "docs/framework/operators/tensor";
let label = "tensor";
let trait_name = "TensorTrait";
doc_trait(trait_path, doc_path, label);
doc_functions(tra... | https://github.com/gizatechxyz/orion |
nodegen/__init__.py | https://github.com/gizatechxyz/orion | |
nodegen/file_manager.py | import os
from pathlib import Path
BASE_PATH = "./tests/nodes"
class ModFile:
def __init__(self):
"""
Initialize a ModFile object.
This method creates a new file with a .cairo extension in the BASE_PATH directory.
If the directory doesn't exist, it's created. The contents of the... | https://github.com/gizatechxyz/orion |
nodegen/helpers.py | from enum import Enum
import os
from typing import List
from .file_manager import CairoTest, CairoData, ModFile
import numpy as np
class FixedImpl(Enum):
FP8x23 = 'FP8x23'
FP16x16 = 'FP16x16'
FP32x32 = 'FP32x32'
def to_fp(x: np.ndarray, fp_impl: FixedImpl):
match fp_impl:
case FixedIm... | https://github.com/gizatechxyz/orion |
nodegen/node/__init__.py | import argparse
import importlib
import os
import sys
class RunAll:
@classmethod
def run_all(cls):
for method_name in dir(cls):
if method_name.startswith('__') or method_name == 'run_all':
continue
method = getattr(cls, method_name)
if callable(metho... | https://github.com/gizatechxyz/orion |
nodegen/node/abs.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Abs(RunAll):
@staticmethod
def abs_i32():
x = np.random.randint(-127, 127, (2, 2)).astype(np.int32)
y = abs(x)
x = Tensor(Dtype.I32, x.shape, x.flatten())
... | https://github.com/gizatechxyz/orion |
nodegen/node/acos.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Acos(RunAll):
@staticmethod
def acos_fp8x23():
x = np.random.uniform(-1, 1, (2, 2)).astype(np.float64)
y = np.arccos(x)
x = Tensor(Dtype.FP8x23, x.shape, to_fp(... | https://github.com/gizatechxyz/orion |
nodegen/node/acosh.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Acosh(RunAll):
@staticmethod
def acosh_fp8x23():
x = np.random.uniform(1, 5, (2, 2)).astype(np.float64)
y = np.arccosh(x)
x = Tensor(Dtype.FP8x23, x.shape, to_fp(
... | https://github.com/gizatechxyz/orion |
nodegen/node/add.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Add(RunAll):
@staticmethod
def add_u32():
def default():
x = np.random.randint(0, 3, (3, 3, 3)).astype(np.uint32)
y = np.random.randint(0, 3, (3, 3, 3)).ast... | https://github.com/gizatechxyz/orion |
nodegen/node/and.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class And(RunAll):
@staticmethod
def and_bool():
def default():
x = (np.random.randn(3, 4) > 0).astype(bool)
y = (np.random.randn(3, 4) > 0).astype(bool)
... | https://github.com/gizatechxyz/orion |
nodegen/node/argmax.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
def argmax_use_numpy(data: np.ndarray, axis: int = 0, keepdims: int = 1) -> np.ndarray:
result = np.argmax(data, axis=axis)
if keepdims == 1:
result = np.expand_dims(result, axis)
re... | https://github.com/gizatechxyz/orion |
nodegen/node/argmin.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
def argmin_use_numpy(data: np.ndarray, axis: int = 0, keepdims: int = 1, dtype=np.int64) -> np.ndarray:
result = np.argmin(data, axis=axis)
if keepdims == 1:
result = np.expand_dims(resu... | https://github.com/gizatechxyz/orion |
nodegen/node/array_feature_extractor.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Array_feature_extractor(RunAll):
@staticmethod
def array_feature_extractor_3D():
def array_feature_extractor_i32():
x = np.random.randint(-3, 3, (2, 3, 4)).astype(np.i... | https://github.com/gizatechxyz/orion |
nodegen/node/asin.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Asin(RunAll):
@staticmethod
def asin_fp8x23():
x = np.random.uniform(-1, 1, (2, 2)).astype(np.float64)
y = np.arcsin(x)
x = Tensor(Dtype.FP8x23, x.shape, to_fp(... | https://github.com/gizatechxyz/orion |
nodegen/node/asinh.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Asinh(RunAll):
@staticmethod
def asinh_fp8x23():
x = np.random.uniform(1, 5, (2, 2)).astype(np.float64)
y = np.arcsinh(x)
x = Tensor(Dtype.FP8x23, x.shape, to_fp(... | https://github.com/gizatechxyz/orion |
nodegen/node/atan.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Atan(RunAll):
@staticmethod
def atan_fp8x23():
x = np.random.uniform(-10, 127, (2, 2)).astype(np.float64)
y = np.arctan(x)
x = Tensor(Dtype.FP8x23, x.shape, to_fp(... | https://github.com/gizatechxyz/orion |
nodegen/node/binarizer.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_node, make_test, to_fp, Tensor, Dtype, FixedImpl
class Binarizer(RunAll):
@staticmethod
def binarizer_fp8x23():
x = np.random.uniform(-3, 3, (3, 3, 3)).astype(np.float64)
threshold = np.float64(1)
y = (x > t... | https://github.com/gizatechxyz/orion |
nodegen/node/blackman_window.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl, Trait, get_data_statement
def blackman_window(size, output_datatype=None, periodic=None) -> np.ndarray: # type: ignore
if periodic == 1:
N_1 = size
else:
N_1 = size - 1
ni =... | https://github.com/gizatechxyz/orion |
nodegen/node/ceil.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Ceil(RunAll):
@staticmethod
def ceil_fp8x23():
x = np.random.uniform(-1, 1, (2, 2)).astype(np.float64)
y = np.ceil(x)
x = Tensor(Dtype.FP8x23, x.shape, to_fp(x.... | https://github.com/gizatechxyz/orion |
nodegen/node/clip.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl
class Clip(RunAll):
@staticmethod
def clip_u32():
def clip_2D():
x = np.random.randint(0, 255, (2, 4)).astype(np.uint32)
y = np.clip(x, np.uint32(10), np.uint32(2... | https://github.com/gizatechxyz/orion |
nodegen/node/col2im.py |
import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl, Trait
def col2im(data, image_shape, block_shape, dilations=None, pads=None, strides=None): # type: ignore
if dilations is None:
dilations = [1 for s in image_shape]
if pads is None:
... | https://github.com/gizatechxyz/orion |
nodegen/node/compress.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl, Trait
class Compress(RunAll):
@staticmethod
def compress_fp16x16():
def compress_3D():
def default():
x1 = np.arange(0,27).reshape(3,3,3).astype... | https://github.com/gizatechxyz/orion |
nodegen/node/concat.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl, Trait
# 687
class Concat(RunAll):
@staticmethod
def concat_u32():
def concat_1D():
x1 = np.arange(0,3).astype(np.uint32)
x2 = np.arange(3,6).astype(np.uint32)
... | https://github.com/gizatechxyz/orion |
nodegen/node/concat_from_sequence.py | import numpy as np
from nodegen.node import RunAll
from ..helpers import make_test, to_fp, Tensor, Dtype, FixedImpl, Trait
class Concat_from_sequence(RunAll):
@staticmethod
def concat_from_sequence_u32():
def new_axis_zero():
sequence = []
values_array = []
shape =... | https://github.com/gizatechxyz/orion |
End of preview. Expand in Data Studio
This dataset contains the code from all the ZKML repos that I'm aware of that have an MIT, Apache or GPL 3.0 license. It only contains the files with extensions: ".py", ".js", ".java", ".c", ".cpp", ".h", ".hpp", ".rs", "cairo", ".zkey", ".sol", ".circom", ".ejs", ".ipynb" List of repos: "https://github.com/gizatechxyz/orion", "https://github.com/gizatechxyz/Giza-Hub", "https://github.com/zkonduit/ezkl", "https://github.com/socathie/keras2circom", "https://github.com/socathie/circomlib-ml" "https://github.com/worldcoin/proto-neural-zkp", "https://github.com/Modulus-Labs/RockyBot" "https://github.com/ora-io/keras2circom", "https://github.com/zk-ml/tachikoma", "https://github.com/only4sim/ZK-DTP", "https://github.com/ddkang/zkml", "https://github.com/socathie/ZKaggleV2"
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