repo_full_name stringlengths 6 93 | repo_url stringlengths 25 112 | repo_api_url stringclasses 28
values | owner stringclasses 28
values | repo_name stringclasses 28
values | description stringclasses 28
values | stars int64 617 98.8k | forks int64 31 355 ⌀ | watchers int64 990 999 ⌀ | license stringclasses 2
values | default_branch stringclasses 2
values | repo_created_at timestamp[s]date 2012-07-24 23:12:50 2025-06-16 08:07:28 ⌀ | repo_updated_at timestamp[s]date 2026-02-23 15:23:15 2026-05-03 18:52:12 ⌀ | repo_topics listlengths 0 13 ⌀ | repo_languages unknown | is_fork bool 1
class | open_issues int64 3 104 ⌀ | file_path stringlengths 3 208 | file_name stringclasses 509
values | file_extension stringclasses 1
value | file_size_bytes int64 101 84k ⌀ | file_url stringclasses 627
values | file_raw_url stringclasses 627
values | file_sha stringclasses 624
values | language stringclasses 8
values | parsed_at stringdate 2026-05-04 01:12:36 2026-05-04 19:41:55 | text stringlengths 100 102k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-cache/graphrag_cache/json_cache.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:07.537926 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'JsonCache' model."""
import json
from typing import Any
from graphrag_storage import Storage, StorageConfig, create_storage
from graphrag_cache.cache import Cache
class JsonCache(Cache):
"""File pipeline cache... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-cache/graphrag_cache/noop_cache.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:07.540284 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""NoopCache implementation."""
from typing import Any
from graphrag_cache.cache import Cache
class NoopCache(Cache):
"""A no-op implementation of Cache, usually useful for testing."""
def __init__(self, **kwargs: Any) -> None:
... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-cache/graphrag_cache/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:07.541309 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""The GraphRAG Cache package."""
from graphrag_cache.cache import Cache
from graphrag_cache.cache_config import CacheConfig
from graphrag_cache.cache_factory import create_cache, register_cache
from graphrag_cache.cache_key import CacheKeyC... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-cache/graphrag_cache/cache.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:07.542219 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Abstract base class for cache."""
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from graphrag_storage import Storage
class Cache(ABC):
"""Provide... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-cache/graphrag_cache/memory_cache.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:07.547738 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""MemoryCache implementation."""
from typing import Any
from graphrag_cache.cache import Cache
class MemoryCache(Cache):
"""In memory cache class definition."""
_cache: dict[str, Any]
_name: str
def __init__(self, **kwa... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-cache/graphrag_cache/cache_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:07.550961 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Cache configuration model."""
from graphrag_storage import StorageConfig, StorageType
from pydantic import BaseModel, ConfigDict, Field
from graphrag_cache.cache_type import CacheType
class CacheConfig(BaseModel):
"""The configurat... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-cache/graphrag_cache/cache_key.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:07.551964 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Create cache key."""
from typing import Any, Protocol, runtime_checkable
from graphrag_common.hasher import hash_data
@runtime_checkable
class CacheKeyCreator(Protocol):
"""Create cache key function protocol.
Args
----
... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-cache/graphrag_cache/cache_factory.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:07.600497 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Cache factory implementation."""
from collections.abc import Callable
from graphrag_common.factory import Factory, ServiceScope
from graphrag_storage import Storage, create_storage
from graphrag_cache.cache import Cache
from graphrag_c... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/chunker.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:08.587412 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing the 'Chunker' class."""
from abc import ABC, abstractmethod
from collections.abc import Callable
from typing import Any
from graphrag_chunking.text_chunk import TextChunk
class Chunker(ABC):
"""Abstract base cla... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/token_chunker.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:08.591196 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'TokenChunker' class."""
from collections.abc import Callable
from typing import Any
from graphrag_chunking.chunker import Chunker
from graphrag_chunking.create_chunk_results import create_chunk_results
from graphrag_... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/chunking_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:08.592399 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Parameterization settings for the default configuration."""
from pydantic import BaseModel, ConfigDict, Field
from graphrag_chunking.chunk_strategy_type import ChunkerType
class ChunkingConfig(BaseModel):
"""Configuration section f... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/chunk_strategy_type.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:08.598138 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Chunk strategy type enumeration."""
from enum import StrEnum
class ChunkerType(StrEnum):
"""ChunkerType class definition."""
Tokens = "tokens"
Sentence = "sentence"
|
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/bootstrap_nltk.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:08.599323 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Bootstrap definition."""
import warnings
# Ignore warnings from numba
warnings.filterwarnings("ignore", message=".*The 'nopython' keyword.*")
warnings.filterwarnings("ignore", message=".*Use no seed for parallelism.*")
initialized_nltk ... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/create_chunk_results.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:08.600428 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'create_chunk_results' function."""
from collections.abc import Callable
from graphrag_chunking.text_chunk import TextChunk
def create_chunk_results(
chunks: list[str],
transform: Callable[[str], str] | None... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/chunker_factory.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:08.612591 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'ChunkerFactory', 'register_chunker', and 'create_chunker'."""
from collections.abc import Callable
from graphrag_common.factory.factory import Factory, ServiceScope
from graphrag_chunking.chunk_strategy_type import ... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/sentence_chunker.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:08.642077 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'SentenceChunker' class."""
from collections.abc import Callable
from typing import Any
import nltk
from graphrag_chunking.bootstrap_nltk import bootstrap
from graphrag_chunking.chunker import Chunker
from graphrag_c... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/text_chunk.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:08.643674 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""The TextChunk dataclass."""
from dataclasses import dataclass
@dataclass
class TextChunk:
"""Result of chunking a document."""
original: str
"""Raw original text chunk before any transformation."""
text: str
"""The... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-common/graphrag_common/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:09.401536 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""GraphRAG Common package."""
|
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-common/graphrag_common/config/load_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:09.402176 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Load configuration."""
import json
import os
from collections.abc import Callable
from pathlib import Path
from string import Template
from typing import Any, TypeVar
import yaml
from dotenv import load_dotenv
T = TypeVar("T", covariant... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-common/graphrag_common/hasher/hasher.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:09.403629 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""The GraphRAG hasher module."""
import hashlib
from collections.abc import Callable
from typing import Any
import yaml
Hasher = Callable[[str], str]
"""Type alias for a hasher function (data: str) -> str."""
def sha256_hasher(data: str... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-common/graphrag_common/config/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:09.405327 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""The GraphRAG config module."""
from graphrag_common.config.load_config import ConfigParsingError, load_config
__all__ = ["ConfigParsingError", "load_config"]
|
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-common/graphrag_common/factory/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:09.416806 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""The GraphRAG factory module."""
from graphrag_common.factory.factory import Factory, ServiceScope
__all__ = ["Factory", "ServiceScope"]
|
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/csv.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:09.417351 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'CSVFileReader' model."""
import csv
import io
import logging
import sys
from graphrag_input.structured_file_reader import StructuredFileReader
from graphrag_input.text_document import TextDocument
logger = logging.g... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-common/graphrag_common/factory/factory.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:09.418214 | # Copyright (c) 2025 Microsoft Corporation.
# Licensed under the MIT License
"""Factory ABC."""
from abc import ABC
from collections.abc import Callable
from dataclasses import dataclass
from typing import Any, ClassVar, Generic, Literal, TypeVar
from graphrag_common.hasher import hash_data
T = TypeVar("T", covaria... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-common/graphrag_common/hasher/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:09.419852 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""The GraphRAG hasher module."""
from graphrag_common.hasher.hasher import (
Hasher,
hash_data,
make_yaml_serializable,
sha256_hasher,
)
__all__ = [
"Hasher",
"hash_data",
"make_yaml_serializable",
"sha256_h... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:10.094931 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""GraphRAG input document loading package."""
from graphrag_input.get_property import get_property
from graphrag_input.input_config import InputConfig
from graphrag_input.input_reader import InputReader
from graphrag_input.input_reader_fact... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-chunking/graphrag_chunking/transformers.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:10.129099 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A collection of useful built-in transformers you can use for chunking."""
from collections.abc import Callable
from typing import Any
def add_metadata(
metadata: dict[str, Any],
delimiter: str = ": ",
line_delimiter: str = "... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/parquet.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:11.640849 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'ParquetFileReader' model."""
import io
import logging
import pyarrow.parquet as pq
from graphrag_input.structured_file_reader import StructuredFileReader
from graphrag_input.text_document import TextDocument
logger... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/markitdown.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:11.759844 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'TextFileReader' model."""
import logging
from io import BytesIO
from pathlib import Path
from markitdown import MarkItDown, StreamInfo
from graphrag_input.hashing import gen_sha512_hash
from graphrag_input.input_rea... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/structured_file_reader.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:12.319177 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'StructuredFileReader' model."""
import logging
from typing import Any
from graphrag_input.get_property import get_property
from graphrag_input.hashing import gen_sha512_hash
from graphrag_input.input_reader import In... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/text.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:12.390338 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'TextFileReader' model."""
import logging
from pathlib import Path
from graphrag_input.hashing import gen_sha512_hash
from graphrag_input.input_reader import InputReader
from graphrag_input.text_document import TextDo... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/text_document.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:12.941673 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""TextDocument dataclass."""
import logging
from dataclasses import dataclass
from typing import Any
from graphrag_input.get_property import get_property
logger = logging.getLogger(__name__)
@dataclass
class TextDocument:
"""The Tex... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-llm/graphrag_llm/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:13.027686 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""GraphRAG LLM Package."""
import nest_asyncio2
nest_asyncio2.apply() # noqa: RUF067
|
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-llm/graphrag_llm/cache/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:13.562281 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Cache module."""
from graphrag_llm.cache.create_cache_key import create_cache_key
__all__ = [
"create_cache_key",
]
|
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-llm/graphrag_llm/cache/create_cache_key.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:13.636240 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Create cache key."""
from typing import Any
from graphrag_cache import create_cache_key as default_create_cache_key
_CACHE_VERSION = 4
"""
If there's a breaking change in what we cache, we should increment this version number to invalid... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-llm/graphrag_llm/completion/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:14.174175 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Completion module for graphrag-llm."""
from graphrag_llm.completion.completion import LLMCompletion
from graphrag_llm.completion.completion_factory import (
create_completion,
register_completion,
)
__all__ = [
"LLMCompletion... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-llm/graphrag_llm/completion/completion.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:14.287334 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Completion Abstract Base Class."""
from abc import ABC, abstractmethod
from contextlib import contextmanager
from typing import TYPE_CHECKING, Any, Unpack
from graphrag_llm.threading.completion_thread_runner import completion_thread_runn... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-llm/graphrag_llm/completion/completion_factory.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:14.764923 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Completion factory."""
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
from graphrag_common.factory import Factory
from graphrag_llm.cache import create_cache_key
from graphrag_llm.config.tokenizer_config impo... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-llm/graphrag_llm/completion/lite_llm_completion.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:14.908813 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""LLMCompletion based on litellm."""
from collections.abc import AsyncIterator, Iterator
from typing import TYPE_CHECKING, Any, Unpack
import litellm
from azure.identity import DefaultAzureCredential, get_bearer_token_provider
from litellm... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/input_reader.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:15.074829 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'InputReader' model."""
from __future__ import annotations
import logging
import re
from abc import ABCMeta, abstractmethod
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from collections.abc import AsyncIter... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/input_config.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:15.085833 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Parameterization settings for the default configuration."""
from pydantic import BaseModel, ConfigDict, Field
from graphrag_input.input_type import InputType
class InputConfig(BaseModel):
"""The default configuration section for In... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/json.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:15.089850 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'JSONFileReader' model."""
import json
import logging
from graphrag_input.structured_file_reader import StructuredFileReader
from graphrag_input.text_document import TextDocument
logger = logging.getLogger(__name__)
... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/get_property.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:15.090882 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Utility for retrieving properties from nested dictionaries."""
from typing import Any
def get_property(data: dict[str, Any], path: str) -> Any:
"""Retrieve a property from a dictionary using dot notation.
Parameters
-------... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/input_reader_factory.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:15.093109 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'InputReaderFactory' model."""
import logging
from collections.abc import Callable
from graphrag_common.factory import Factory
from graphrag_common.factory.factory import ServiceScope
from graphrag_storage.storage imp... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/jsonl.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:15.094503 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing 'JSONLinesFileReader' model."""
import json
import logging
from graphrag_input.structured_file_reader import StructuredFileReader
from graphrag_input.text_document import TextDocument
logger = logging.getLogger(__nam... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/input_type.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:15.106432 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""A module containing input file type enum."""
from enum import StrEnum
class InputType(StrEnum):
"""The input file type for the pipeline."""
Csv = "csv"
"""The CSV input type."""
Text = "text"
"""The text input type.... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-input/graphrag_input/hashing.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:15.136635 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Hashing utilities."""
from collections.abc import Iterable
from hashlib import sha512
from typing import Any
def gen_sha512_hash(item: dict[str, Any], hashcode: Iterable[str]) -> str:
"""Generate a SHA512 hash.
Parameters
-... |
microsoft/graphrag | https://github.com/microsoft/graphrag | null | null | null | null | 32,744 | null | null | mit | null | null | null | null | null | null | null | packages/graphrag-llm/graphrag_llm/completion/mock_llm_completion.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:15.348030 | # Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""Mock LLMCompletion."""
from typing import TYPE_CHECKING, Any, Unpack
import litellm
from graphrag_llm.completion.completion import LLMCompletion
from graphrag_llm.utils import (
create_completion_response,
structure_completion_r... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/beautiful_mnist_multigpu.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:17.961050 | # model based off https://towardsdatascience.com/going-beyond-99-mnist-handwritten-digits-recognition-cfff96337392
from typing import List, Callable
from tinygrad import Tensor, TinyJit, nn, GlobalCounters, Device
from tinygrad.helpers import getenv, colored, trange
from tinygrad.nn.datasets import mnist
GPUS = tuple(... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/anthropic_challenge.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:17.968804 | from tinygrad import Tensor, dtypes, Context, getenv, UOp, fetch
from tinygrad.uop.ops import Ops, PatternMatcher, UPat
from tinygrad.uop.symbolic import symbolic
from tinygrad.codegen import Renderer
from tinygrad.codegen.opt import Opt, OptOps
# ************************* implementation of the problem ***************... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/beautiful_cartpole.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:17.971643 | from typing import Tuple
import time
from tinygrad import Tensor, TinyJit, nn
import gymnasium as gym
from tinygrad.helpers import trange
import numpy as np # TODO: remove numpy import
ENVIRONMENT_NAME = 'CartPole-v1'
#ENVIRONMENT_NAME = 'LunarLander-v2'
#import examples.rl.lightupbutton
#ENVIRONMENT_NAME = 'PressTh... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/beautiful_mnist.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:17.974172 | # model based off https://medium.com/data-science/going-beyond-99-mnist-handwritten-digits-recognition-cfff96337392
from typing import Callable
from tinygrad import Tensor, TinyJit, nn, GlobalCounters, function
from tinygrad.helpers import getenv, colored, trange
from tinygrad.nn.datasets import mnist
class Model:
d... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/audio_helpers.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:17.982802 | from typing import Optional
from tinygrad import Tensor
from tinygrad.dtype import DTypeLike, dtypes
import math
# rewritten from numpy
def rfftfreq(n: int, d: float = 1.0, device=None) -> Tensor:
val = 1.0 / (n * d)
N = n // 2 + 1
results = Tensor.arange(N, device=device)
return results * val
# just like in ... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | docs/abstractions4.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:17.988569 | # tinygrad allows you to write kernels at many different abstractions levels.
# This is for RDNA3, but if you don't have one you can run with the emulator
# PYTHONPATH="." DEV=MOCKPCI+AMD
from tinygrad import Tensor, Context, GlobalCounters, UOp, Device
from tinygrad.helpers import DEV, DEBUG, getenv
from tinygrad.uop... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/benchmark_onnx.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:17.989930 | import sys, time
from tinygrad import TinyJit, GlobalCounters, fetch, getenv
from tinygrad.nn.onnx import OnnxRunner
from extra.onnx_helpers import get_example_inputs, validate
def load_onnx_model(onnx_file):
run_onnx = OnnxRunner(onnx_file)
run_onnx_jit = TinyJit(lambda **kwargs: next(iter(run_onnx({k:v.to(None) ... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/beautiful_cifar.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.015304 | import time
start_tm = time.perf_counter()
import math
from typing import Tuple, cast
from tinygrad import Tensor, nn, GlobalCounters, TinyJit, dtypes, Device
from tinygrad.helpers import partition, trange, getenv, Context
from extra.lr_scheduler import OneCycleLR
GPUS = [f'{Device.DEFAULT}:{i}' for i in range(getenv(... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | docs/abstractions3.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.045136 | # abstractions2 goes from back to front, here we will go from front to back
# *****
# 0. Load mnist on the device
from tinygrad.nn.datasets import mnist
X_train, Y_train, _, _ = mnist()
X_train = X_train.float()
X_train -= X_train.mean()
# *****
# 1. Define an MNIST model.
from tinygrad import Tensor
l1 = Tensor.k... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/compile_efficientnet.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.567921 | from pathlib import Path
from extra.models.efficientnet import EfficientNet
from tinygrad.tensor import Tensor
from tinygrad.device import Device
from tinygrad.nn.state import get_state_dict, safe_save, safe_load, load_state_dict
from extra.export_model import export_model
from tinygrad.helpers import fetch
import ast
... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/gpt2.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.587697 | #!/usr/bin/env python3
import os, argparse, contextlib
from typing import Optional, Union
with contextlib.suppress(ImportError): import tiktoken
from tinygrad import Tensor, TinyJit, Device, GlobalCounters, Variable, dtypes
from tinygrad.uop.ops import UOp
from tinygrad.helpers import Timing, DEBUG, JIT, getenv, fetch,... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/compile_tensorflow.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.597535 | # An example to compile a small Tensorflow model to extremely portable C code
import os, sys
os.environ["CPU"] = '1'
os.environ["JIT"] = '2'
import numpy as np
import subprocess
import tensorflow as tf
import tf2onnx
from tinygrad.nn.onnx import OnnxRunner
from tinygrad.tensor import Tensor
from tinygrad.helpers impo... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/gradaccum_mnist.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.624743 | import itertools
from typing import Callable
from tinygrad import nn, Tensor, dtypes, Device, TinyJit
from tinygrad.helpers import getenv, trange, partition
class Model:
def __init__(self):
self.layers: list[Callable[[Tensor], Tensor]] = [
nn.Conv2d(1, 32, 5), Tensor.relu,
nn.Conv2d(32, 32, 5), Tenso... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/hlb_cifar10.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.627907 | #!/usr/bin/env python3
# tinygrad implementation of https://github.com/tysam-code/hlb-CIFAR10/blob/main/main.py
# https://myrtle.ai/learn/how-to-train-your-resnet-8-bag-of-tricks/
# https://siboehm.com/articles/22/CUDA-MMM
import random, time
import numpy as np
from typing import Optional
from extra.lr_scheduler impor... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/llama.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.638913 | #!/usr/bin/env python3
# pip3 install sentencepiece tiktoken blobfile
#import typeguard.importhook
#typeguard.importhook.install_import_hook('tinygrad')
from pathlib import Path
from typing import List, Optional
import argparse, json
from tinygrad import Tensor, Device, GlobalCounters, nn
from tinygrad.helpers import ... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/llm.c/train_gpt2.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.643476 | #!/usr/bin/env python3
import os, math, time
import numpy as np
from tinygrad import Tensor, nn, fetch, Device, TinyJit, GlobalCounters
from dataclasses import dataclass
@dataclass
class GPTConfig:
block_size: int = 1024
vocab_size: int = 50257
padded_vocab_size: int = 50304
n_layer: int = 12
n_head: int = 1... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mamba.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.645663 | import os, sys, math, argparse, time
sys.path.append(os.getcwd())
from typing import Any, Optional, Dict
from tinygrad import Tensor, TinyJit, nn
from tinygrad.helpers import fetch
from tinygrad.nn.state import load_state_dict, torch_load
from tqdm import tqdm
from transformers import AutoTokenizer
MODELS = {
"130... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/llm.c/export.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.647047 | #!/usr/bin/env python3
import os
if "NOOPT" not in os.environ: os.environ["NOOPT"] = "1"
from tinygrad import Device, nn, Tensor, dtypes
from train_gpt2 import GPT, GPTConfig
from tinygrad.helpers import DEV, dedup, flatten, getenv, GlobalCounters, to_function_name
from tinygrad.engine.realize import get_kernel
from ti... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/llama3.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:18.674897 | from pathlib import Path
from typing import List
import json, argparse, random, time, os
from extra.models.llama import Transformer, convert_from_huggingface, convert_from_gguf, fix_bf16
from tinygrad.llm.gguf import gguf_load
from tinygrad.nn.state import safe_load, torch_load, load_state_dict, get_parameters
from tin... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mixtral.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.241054 | import functools, argparse, pathlib
from tinygrad import Tensor, nn, Device, GlobalCounters, Variable
from tinygrad.helpers import Timing, Profiling, CI, tqdm
from tinygrad.nn.state import torch_load, get_state_dict
from extra.models.llama import FeedForward, Transformer
from extra.bench_log import BenchEvent, WallTime... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/minrf.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.259767 | # much taken from https://github.com/cloneofsimo/minRF
from tinygrad import Tensor, nn, GlobalCounters, TinyJit
from tinygrad.helpers import getenv, trange
from extra.models.llama import Attention, FeedForward, precompute_freqs_cis
def modulate(x:Tensor, shift:Tensor, scale:Tensor) -> Tensor: return x * (1 + scale.uns... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/dataloader.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.264972 | import os, random, pickle, queue, struct, math, functools, hashlib, time
from typing import List
from pathlib import Path
from multiprocessing import Queue, Process, shared_memory, connection, Lock, cpu_count
import numpy as np
from tinygrad import dtypes, Tensor
from tinygrad.helpers import getenv, prod, Context, rou... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/metrics.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.266493 | import re, string
from collections import Counter
from tinygrad import Tensor
def levenshtein(a, b):
n, m = len(a), len(b)
if n > m:
a, b, n, m = b, a, m, n
current = list(range(n + 1))
for i in range(1, m + 1):
previous, current = current, [i] + [0] * n
for j in range(1, n + 1):
add, delete... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/initializers.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.267791 | import math
from typing import Union
from tinygrad import Tensor, nn, dtypes
from tinygrad.helpers import prod, argfix, Context
from tinygrad.nn.state import get_parameters
from extra.models.unet import UNetModel
# rejection sampling truncated randn
def rand_truncn(*shape, dtype=None, truncstds=2, **kwargs) -> Tensor... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/lr_schedulers.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.289223 | import math
from tinygrad import dtypes, Tensor
from tinygrad.nn.optim import Optimizer
from extra.lr_scheduler import LR_Scheduler
from typing import Callable
# https://github.com/mlcommons/training/blob/e237206991d10449d9675d95606459a3cb6c21ad/image_classification/tensorflow2/lars_util.py
class PolynomialDecayWithW... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/helpers.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.335139 | from collections import OrderedDict
import unicodedata
from typing import Optional
import math
import numpy as np
from tinygrad.nn import state
from tinygrad.tensor import Tensor, dtypes
from tinygrad.helpers import getenv
#
# checkpointing utils
#
def invert_dict(d): return {v: k for k, v in reversed(d.items())}
def... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/model_spec.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.336314 | # load each model here, quick benchmark
from tinygrad import Tensor, GlobalCounters
from tinygrad.helpers import getenv
import numpy as np
def test_model(model, *inputs):
GlobalCounters.reset()
out = model(*inputs)
if isinstance(out, Tensor): out = out.numpy()
# TODO: return event future to still get the time_... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/model_eval.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.354334 | import time, math, os
start = time.perf_counter()
from pathlib import Path
import numpy as np
from tinygrad import Tensor, Device, dtypes, GlobalCounters, TinyJit
from tinygrad.nn.state import get_parameters, load_state_dict, safe_load
from tinygrad.helpers import getenv, Context, prod
from extra.bench_log import Bench... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/losses.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:19.378034 | from examples.mlperf.metrics import dice_score
from tinygrad import Tensor
def dice_ce_loss(pred, tgt):
ce = pred.permute(0, 2, 3, 4, 1).sparse_categorical_crossentropy(tgt.squeeze(1))
dice = (1.0 - dice_score(pred, tgt, argmax=False, to_one_hot_x=False)).mean()
return (dice + ce) / 2
def sigmoid_focal_loss(pre... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/olmoe.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.239591 | # https://arxiv.org/pdf/2409.02060
import time, functools
import numpy as np
np.set_printoptions(suppress=True, linewidth=1000)
from tinygrad import Tensor, nn, Device, GlobalCounters
from tinygrad.helpers import Timing, getenv
from extra.models.llama import Transformer, convert_from_huggingface
class MixtureFeedForwa... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mnist_gan.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.241174 | from pathlib import Path
import torch
from torchvision.utils import make_grid, save_image
from tinygrad.nn.state import get_parameters
from tinygrad.tensor import Tensor
from tinygrad.helpers import trange
from tinygrad.nn import optim
from tinygrad.nn.datasets import mnist
class LinearGen:
def __init__(self):
s... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/optim.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.242716 | from tinygrad.tensor import Tensor
from tinygrad.dtype import dtypes
from tinygrad.nn.optim import Optimizer
from tinygrad.helpers import FUSE_OPTIM, getenv
from tinygrad.uop.ops import UOp, Ops
STOCHASTIC_ROUND = getenv("STOCHASTIC_ROUND", 0)
MASTER_WEIGHTS = getenv("MASTER_WEIGHTS", 0)
def stochastic_round_bf16(x:T... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/models/flat_llama.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.248889 | import math, os
if __name__ == "__main__":
os.environ["DEFAULT_FLOAT"] = "bfloat16"
os.environ["OPTIM_DTYPE"] = "bfloat16"
if "DEV" not in os.environ: os.environ["DEV"] = "NULL"
# CDNA
os.environ["EMULATE"] = "AMD_CDNA4"
os.environ["DEVICE_IN_FUNCTION_BUG"] = "1"
os.environ["ALL2ALL"] = "1"
os.environ["... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/models/test_flat_llama.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.250582 | import os
os.environ["WQKV"] = "1"
import unittest
import numpy as np
from tinygrad import Tensor, nn, dtypes
from tinygrad.nn.state import get_parameters
from tinygrad.device import is_dtype_supported, Device
from examples.mlperf.models.llama import Transformer
from examples.mlperf.models.flat_llama import FlatTransfo... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/openpilot/compile3.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.251902 | import os, sys, pickle, time, re
import numpy as np
if "JIT_BATCH_SIZE" not in os.environ: os.environ["JIT_BATCH_SIZE"] = "0"
from tinygrad import fetch, Tensor, TinyJit, Context, GlobalCounters, Device, dtypes
from tinygrad.helpers import DEBUG, getenv
from tinygrad.uop.ops import Ops
from tinygrad.nn.onnx import Onn... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/openpilot/load_pickle.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.261573 | import sys, pickle
from extra.bench_log import WallTimeEvent, BenchEvent
from tinygrad.helpers import getenv
PKL = sys.argv[1] if len(sys.argv) > 1 else "/tmp/openpilot.pkl"
load_times = []
for _ in range(10):
with WallTimeEvent(BenchEvent.STEP) as wte: pickle.load(open(PKL, 'rb'))
load_times.append(wte.time)
... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/mlperf/model_train.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.264488 | import os, time, math, functools, random, contextlib
from pathlib import Path
import multiprocessing
from tinygrad import Device, GlobalCounters, Tensor, TinyJit, dtypes
from tinygrad.helpers import getenv, BEAM, WINO, round_up, diskcache_clear, Profiling, profile_marker, DEBUG
from tinygrad.nn.state import get_parame... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/qwq.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.442961 | import argparse
import os
import sys
from transformers import AutoTokenizer
from pathlib import Path
from typing import Dict, Union
from extra.models.llama import Transformer, convert_from_huggingface, fix_bf16
from examples.llama3 import load
from tinygrad import nn, Tensor, Device
from tinygrad.helpers import fetch... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/other_mnist/beautiful_mnist_torch.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:20.445178 | from tinygrad import dtypes, getenv, Device
from tinygrad.helpers import trange, colored, DEBUG, temp
from tinygrad.nn.datasets import mnist
import torch
from torch import nn, optim
class Model(nn.Module):
def __init__(self):
super().__init__()
self.c1 = nn.Conv2d(1, 32, 5)
self.c2 = nn.Conv2d(32, 32, 5)... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/stunning_mnist.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.050803 | # beautiful mnist in the new "one-shot" style
# one realize in the whole graph
# depends on:
# - "big graph" UOp scheduling
# - symbolic removal
from examples.beautiful_mnist import Model
from tinygrad import Tensor, nn, getenv, GlobalCounters, Variable
from tinygrad.nn.datasets import mnist
from tinygrad.helpers im... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/sdxl.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.072189 | # This file incorporates code from the following:
# Github Name | License | Link
# Stability-AI/generative-models | MIT | https://github.com/Stability-AI/generative-models/blob/fbdc58cab9f4ee2be7a5e1f2e2787ecd9311942f/LICENSE-CODE
# mlfoundations/open_clip | MIT | https://github.com/ml... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/sdv2.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.252601 | from tinygrad import Tensor, dtypes, TinyJit
from tinygrad.helpers import fetch
from tinygrad.nn.state import safe_load, load_state_dict, get_state_dict
from examples.stable_diffusion import AutoencoderKL, get_alphas_cumprod
from examples.sdxl import DPMPP2MSampler, append_dims, LegacyDDPMDiscretization
from extra.mode... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/tools/gpuburn.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.253519 | from tinygrad import Tensor, Device, TinyJit, dtypes
GPUS = Device[Device.DEFAULT].count()
N = 6144
@TinyJit
def many_matmul(A, B):
out = A
for _ in range(8): out = out@B
return out
if __name__ == "__main__":
A = Tensor.ones(GPUS, N, N, dtype=dtypes.half).shard(devices=tuple([f"{Device.DEFAULT}:{i}" for i in... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/tinychat/tinychat-browser/compile.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.254260 | import os, json, hashlib, math
from extra.export_model import export_model
from examples.llama3 import build_transformer, Tokenizer
from tinygrad.nn.state import get_state_dict, load_state_dict
from tinygrad import Device, Variable, Tensor, dtypes, TinyJit
from tinygrad.helpers import DEV, fetch, Context
from tiktoken.... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/torch_cuda_kernel.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.254733 | #!POPCORN leaderboard grayscale
#!POPCORN gpu A100
# not a stable API, but works
import torch
from tinygrad import Tensor, TinyJit, Device
from tinygrad.helpers import Context, OSX
from tinygrad.dtype import _from_torch_dtype
@TinyJit
def f(tg_out, tg_data): return tg_out.assign(tg_data[:, :, 0] * 0.2989 + tg_data[:,... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/stable_diffusion.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.261106 | # https://arxiv.org/pdf/2112.10752.pdf
# https://github.com/ekagra-ranjan/huggingface-blog/blob/main/stable_diffusion.md
import tempfile
from pathlib import Path
import argparse, time
from collections import namedtuple
from typing import Dict, Any
import numpy as np
from tinygrad import Device, GlobalCounters, dtypes,... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/test_pkl_imagenet.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.267199 | import sys, pickle
from tinygrad import GlobalCounters
from tinygrad.helpers import fetch, getenv
from examples.test_onnx_imagenet import imagenet_dataloader
if __name__ == "__main__":
with open(fetch(sys.argv[1]), "rb") as f:
run_onnx_jit = pickle.load(f)
input_name = run_onnx_jit.captured.expected_names[0]
... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/tools/bandwidth_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.267691 | #!/usr/bin/env python3
from tinygrad import Tensor, Device, GlobalCounters, Context, dtypes
from tinygrad.helpers import getenv, colored
SZ = 8_000_000_000
GPUS = getenv("GPUS", 4) # TODO: expose a way in tinygrad to access this
if __name__ == "__main__":
# create tensors
tens = [Tensor.ones(SZ, dtype=dtypes.uint... |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad | null | null | null | null | 32,608 | null | null | mit | null | null | null | null | null | null | null | examples/test_onnx_imagenet.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:21.268420 | import random, sys
import numpy as np
from extra.datasets.imagenet import get_imagenet_categories, get_val_files, center_crop
from examples.benchmark_onnx import load_onnx_model
from PIL import Image
from tinygrad import Tensor, dtypes, GlobalCounters
from tinygrad.helpers import fetch, getenv
# works:
# ~70% - https... |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial | null | null | null | null | 32,309 | null | null | mit | null | null | null | null | null | null | null | tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:24.402904 | import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# Hyper-parameters
sequence_length = 28
input_size = 28
hidden_size = 128
num_layers = 2
num_classes = 10
batch_size = 100
nu... |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial | null | null | null | null | 32,309 | null | null | mit | null | null | null | null | null | null | null | tutorials/02-intermediate/recurrent_neural_network/main.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:24.426088 | import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
# Device configuration
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# Hyper-parameters
sequence_length = 28
input_size = 28
hidden_size = 128
num_layers = 2
num_classes = 10
batch_size = 100
nu... |
yunjey/pytorch-tutorial | https://github.com/yunjey/pytorch-tutorial | null | null | null | null | 32,309 | null | null | mit | null | null | null | null | null | null | null | tutorials/01-basics/linear_regression/main.py | null | null | null | null | null | null | Python | 2026-05-04T02:24:24.429820 | import torch
import torch.nn as nn
import numpy as np
import matplotlib.pyplot as plt
# Hyper-parameters
input_size = 1
output_size = 1
num_epochs = 60
learning_rate = 0.001
# Toy dataset
x_train = np.array([[3.3], [4.4], [5.5], [6.71], [6.93], [4.168],
[9.779], [6.182], [7.59], [2.167], [7.042]... |
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