repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
tinygrad | test/speed/external_test_device_speed.py | .py | import unittest
from tinygrad import Device
from tinygrad.helpers import Timing, Profiling
class TestDeviceSpeed(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.dev = Device[Device.DEFAULT]
cls.empty = Device[Device.DEFAULT].renderer.render([])
def test_empty_compile(self):
with Timing("co... | 38 | 1,159 |
tinygrad | test/mockgpu/driver.py | .py | from typing import Any
from dataclasses import dataclass
class VirtFileDesc:
def __init__(self, fd): self.fd, self.off = fd, 0
def ioctl(self, fd, req, argp): raise NotImplementedError()
def mmap(self, st, sz, prot, flags, fd, off): raise NotImplementedError()
def close(self, fd): return 0
class TextFileDesc(... | 40 | 1,319 |
tinygrad | test/mockgpu/mockgpu.py | .py | import ctypes, time, os, builtins, fcntl, typing
from tinygrad.helpers import DEV
from tinygrad.runtime.support.hcq import FileIOInterface
from tinygrad.runtime.autogen import libc
from test.mockgpu.nv.nvdriver import NVDriver
from test.mockgpu.amd.amddriver import AMDDriver
from test.mockgpu.am.amdriver import AMDrive... | 111 | 4,254 |
tinygrad | test/mockgpu/gpu.py | .py | class VirtGPU:
def __init__(self, gpuid): self.gpuid = gpuid
def map_range(self, vaddr, size): raise NotImplementedError()
def unmap_range(self, vaddr, size): raise NotImplementedError()
| 5 | 193 |
tinygrad | test/mockgpu/usb.py | .py | from __future__ import annotations
import ctypes, mmap, struct, sys
if sys.platform != "win32": from tinygrad.runtime.autogen import libc
class MockUSB:
def __init__(self, mem):
self.mem = mem
def read(self, address, size): return bytes(self.mem[address:address+size])
def write(self, address, data): self.mem... | 213 | 10,503 |
tinygrad | test/mockgpu/helpers.py | .py | import ctypes
from tinygrad.runtime.support import c
gpuocelot_lib = c.DLL("ocelot", "gpuocelot")
@gpuocelot_lib.bind(None, ctypes.c_char_p, ctypes.c_int, ctypes.POINTER(ctypes.c_void_p), ctypes.c_int, ctypes.c_int, ctypes.c_int,
ctypes.c_int, ctypes.c_int, ctypes.c_int, ctypes.c_int)
def ptx_run(s... | 21 | 1,205 |
tinygrad | test/mockgpu/nv/nvgpu.py | .py | import ctypes, time
from tinygrad.runtime.autogen import nv_570 as nv_gpu
from enum import Enum, auto
from test.mockgpu.gpu import VirtGPU
from test.mockgpu.helpers import ptx_run
from tinygrad.helpers import to_mv
from tinygrad.runtime.support.c import init_c_struct_t
def make_qmd_struct_type():
fields = []
bits ... | 221 | 10,416 |
tinygrad | test/mockgpu/nv/nvdriver.py | .py | import ctypes, mmap, collections, functools, os
from tinygrad.runtime.autogen import nv_570 as nv_gpu, libc
from typing import cast, Any
from tinygrad.helpers import to_mv
from test.mockgpu.driver import VirtDriver, VirtFileDesc, VirtFile
from test.mockgpu.nv.nvgpu import NVGPU
NVSubDevice = collections.namedtuple('NV... | 295 | 16,674 |
tinygrad | test/mockgpu/amd/amdgpu.py | .py | import ctypes, time
from dataclasses import replace
from test.mockgpu.gpu import VirtGPU
from test.mockgpu.helpers import PythonRemu
from tinygrad.helpers import getbits, to_mv, getenv, DEV
from tinygrad.runtime.support import c
MOCKGPU_ARCH = "cdna4" if DEV.arch == "gfx950" else "rdna4" if DEV.arch.startswith("gfx12"... | 449 | 18,603 |
tinygrad | test/mockgpu/amd/pcode.py | .py | # Tokenizer-based expression parser for AMD pcode
from typing import Any, Callable
from tinygrad.dtype import dtypes
from tinygrad.uop.ops import Ops, UOp
from tinygrad.codegen.decomp.dtype import f2f
# Type alias for vars dict: stores UOps and tuples for lambda definitions
VarVal = UOp | tuple[str, list[str], str]
d... | 1,363 | 70,597 |
tinygrad | test/mockgpu/amd/emu.py | .py | # RDNA3 emulator v2 - compiles pcode to UOps executed via tinygrad CPU backend
# Each instruction is compiled to a kernel that operates on buffers:
# arg=0: sgpr - sgpr[0-127], inline constants[128-255], PC_LO=256, PC_HI=257, SCC=258, SCRATCH_STRIDE=259
# arg=1: vgpr - vgpr[reg * 32 + lane]
# arg=2: vmem - base a... | 2,325 | 140,903 |
tinygrad | test/mockgpu/amd/amddriver.py | .py | import pathlib, re, ctypes, mmap, collections, functools, copy, os
from tinygrad.runtime.autogen import kfd, amdgpu_drm, libc
import tinygrad.runtime.autogen.am.am as am
from tinygrad.helpers import from_mv
from test.mockgpu.driver import VirtDriver, VirtFileDesc, TextFileDesc, DirFileDesc, VirtFile
from test.mockgpu.a... | 192 | 9,944 |
tinygrad | test/mockgpu/am/amdriver.py | .py | from __future__ import annotations
import mmap, functools
from tinygrad.runtime.autogen import libc
from test.mockgpu.driver import VirtDriver, VirtFileDesc, TextFileDesc, DirFileDesc, VirtFile
from test.mockgpu.am.amgpu import MockAMGPU, VRAM_SIZE
DOORBELL_SIZE = 0x2000
MMIO_SIZE = 2 << 20
PCIBUS = "mock:am:0"
_empt... | 128 | 5,126 |
tinygrad | test/mockgpu/am/amgpu.py | .py | # mypy: ignore-errors
from __future__ import annotations
import ctypes, struct, functools, os, mmap
from tinygrad.runtime.autogen.am import am
from tinygrad.runtime.autogen import libc
from tinygrad.runtime.support.amd import AMDReg, import_asic_regs
from test.mockgpu.amd.amdgpu import AMDGPU
VRAM_SIZE = 512 << 20
IP... | 311 | 15,364 |
tinygrad | test/mockgpu/cuda/cuda.py | .py | from __future__ import annotations
from typing import Any
import ctypes, time
from test.mockgpu.helpers import ptx_run
from tinygrad.runtime.autogen import cuda as orig_cuda
from tinygrad.helpers import mv_address
for attr in dir(orig_cuda):
if not attr.startswith('__'):
globals()[attr] = getattr(orig_cuda, attr... | 175 | 6,432 |
tinygrad | examples/mamba.py | .py | 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... | 324 | 12,324 |
tinygrad | examples/transformer.py | .py | #!/usr/bin/env python3
import numpy as np
import random
from tinygrad.nn.state import get_parameters
from tinygrad.nn.optim import Adam
from extra.training import train, evaluate
from extra.models.transformer import Transformer
# dataset idea from https://github.com/karpathy/minGPT/blob/master/projects/adder/adder.py... | 43 | 1,624 |
tinygrad | examples/stunning_mnist.py | .py | # 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, Context
from tinygrad.nn.datasets import mnist
from tinygrad.h... | 61 | 2,138 |
tinygrad | examples/sdxl.py | .py | # 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... | 446 | 19,543 |
tinygrad | examples/yolov8-onnx.py | .py | #!/usr/bin/env python3
import os
from ultralytics import YOLO
from pathlib import Path
from tinygrad.nn.onnx import OnnxRunner
from extra.onnx_helpers import get_example_inputs
os.chdir("/tmp")
if not Path("yolov8n-seg.onnx").is_file():
model = YOLO("yolov8n-seg.pt")
model.export(format="onnx", imgsz=[480,640])
ru... | 14 | 424 |
tinygrad | examples/benchmark_onnx.py | .py | 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) ... | 36 | 1,159 |
tinygrad | examples/mnist_gan.py | .py | 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, Context
from tinygrad.nn import optim
from tinygrad.nn.datasets import mnist
class LinearGen:
def __init__(sel... | 107 | 3,888 |
tinygrad | examples/stable_diffusion.py | .py | # 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,... | 351 | 14,821 |
tinygrad | examples/torch_cuda_kernel.py | .py | #!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[:,... | 38 | 1,452 |
tinygrad | examples/mixtral.py | .py | import functools, argparse, pathlib
from tinygrad import Tensor, nn, Device, GlobalCounters, Variable
from tinygrad.helpers import Timing, Profiling, tqdm
from tinygrad.nn.state import torch_load, get_state_dict
from extra.models.llama import FeedForward, Transformer
from extra.bench_log import BenchEvent, WallTimeEven... | 63 | 3,341 |
tinygrad | examples/yolov8.py | .py | from tinygrad.nn import Conv2d, BatchNorm2d
from tinygrad.tensor import Tensor
import numpy as np
from itertools import chain
from pathlib import Path
import cv2
from collections import defaultdict
import time, sys
from tinygrad.helpers import fetch
from tinygrad.nn.state import safe_load, load_state_dict
import json
... | 398 | 17,956 |
tinygrad | examples/sdv2.py | .py | 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... | 154 | 6,035 |
tinygrad | examples/llama3.py | .py | 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... | 530 | 26,511 |
tinygrad | examples/beautiful_cartpole.py | .py | from typing import Tuple
import time
from tinygrad import Tensor, TinyJit, nn, Context
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 =... | 127 | 5,088 |
tinygrad | examples/gradaccum_mnist.py | .py | import itertools
from typing import Callable
from tinygrad import nn, Tensor, dtypes, Device, TinyJit, Context
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, ... | 108 | 4,021 |
tinygrad | examples/beautiful_cifar.py | .py | 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(... | 170 | 8,394 |
tinygrad | examples/vgg7.py | .py | import sys
import random
import json
import numpy
from tinygrad.tensor import Tensor
from tinygrad.nn.optim import SGD
from tinygrad.nn.state import safe_save, safe_load, get_state_dict, load_state_dict
from examples.vgg7_helpers.waifu2x import image_load, image_save, Vgg7
# amount of context erased by model
CONTEXT =... | 261 | 9,713 |
tinygrad | examples/qwq.py | .py | 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... | 116 | 5,508 |
tinygrad | examples/test_onnx_imagenet.py | .py | 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... | 83 | 3,770 |
tinygrad | examples/hlb_cifar10.py | .py | #!/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... | 431 | 19,558 |
tinygrad | examples/beautiful_mnist_multigpu.py | .py | # 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, Context
from tinygrad.helpers import getenv, colored, trange
from tinygrad.nn.datasets import mnist
GPUS... | 57 | 2,322 |
tinygrad | examples/gpt2.py | .py | #!/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,... | 247 | 11,602 |
tinygrad | examples/audio_helpers.py | .py | 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) -> Tensor:
val = 1.0 / (n * d)
N = n // 2 + 1
results = Tensor.arange(N)
return results * val
# just like in librosa
def fft_frequencies(... | 80 | 2,326 |
tinygrad | examples/yolov3.py | .py | # https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3.cfg
import sys
import io
import time
import math
import cv2
import numpy as np
from PIL import Image
from tinygrad.tensor import Tensor
from tinygrad.nn import BatchNorm2d, Conv2d
from tinygrad.helpers import fetch
def show_labels(prediction, confi... | 407 | 17,088 |
tinygrad | examples/minrf.py | .py | # much taken from https://github.com/cloneofsimo/minRF
from tinygrad import Tensor, nn, GlobalCounters, TinyJit, Context
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 + ... | 157 | 6,476 |
tinygrad | examples/train_resnet.py | .py | #!/usr/bin/env python3
import numpy as np
from PIL import Image
from tinygrad.nn.state import get_parameters
from tinygrad.nn import optim
from tinygrad.helpers import getenv
from extra.training import train, evaluate
from extra.models.resnet import ResNet
from extra.datasets import fetch_mnist
class ComposeTransfor... | 46 | 1,377 |
tinygrad | examples/test_pkl_imagenet.py | .py | 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]
... | 20 | 751 |
tinygrad | examples/compile_efficientnet.py | .py | 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
... | 75 | 3,350 |
tinygrad | examples/beautiful_mnist.py | .py | # 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, Context
from tinygrad.helpers import getenv, colored, trange
from tinygrad.nn.datasets import mnist
class M... | 49 | 2,093 |
tinygrad | examples/llama.py | .py | #!/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 ... | 520 | 23,381 |
tinygrad | examples/whisper.py | .py | # thanks to https://github.com/openai/whisper for a good chunk of MIT licensed code
import sys, base64, multiprocessing, itertools, collections
from typing import Optional, Union, Literal, List
from tinygrad import Tensor, TinyJit, Variable, nn, dtypes
from tinygrad.nn.state import torch_load, load_state_dict
from ti... | 333 | 16,957 |
tinygrad | examples/olmoe.py | .py | # 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... | 94 | 4,597 |
tinygrad | examples/compile_tensorflow.py | .py | # 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... | 101 | 3,650 |
tinygrad | examples/tinychat/tinychat-browser/compile.py | .py | 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.... | 148 | 8,248 |
tinygrad | examples/webgpu/stable_diffusion/compile.py | .py | import os
from extra.export_model import compile_net, jit_model, dtype_to_js_type
from extra.f16_decompress import u32_to_f16
from examples.stable_diffusion import StableDiffusion
from tinygrad.nn.state import get_state_dict, safe_save, safe_load_metadata, torch_load, load_state_dict
from tinygrad.tensor import Tensor
... | 238 | 11,255 |
tinygrad | examples/webgpu/yolov8/compile.py | .py | from pathlib import Path
from examples.yolov8 import YOLOv8, get_weights_location
from tinygrad.tensor import Tensor
from tinygrad.nn.state import safe_save
from extra.export_model import export_model
from tinygrad.device import Device
from tinygrad.helpers import DEV
from tinygrad.nn.state import safe_load, load_state... | 21 | 889 |
tinygrad | examples/tools/gpuburn.py | .py | 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... | 16 | 525 |
tinygrad | examples/tools/bandwidth_test.py | .py | #!/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... | 35 | 1,120 |
tinygrad | examples/llm.c/export.py | .py | #!/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, Context
from tinygrad.engine.realize import get_kerne... | 105 | 4,398 |
tinygrad | examples/llm.c/train_gpt2.py | .py | #!/usr/bin/env python3
import os, math, time
import numpy as np
from tinygrad import Tensor, nn, fetch, Device, TinyJit, GlobalCounters, Context
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... | 207 | 7,977 |
tinygrad | examples/mlperf/lr_schedulers.py | .py | 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... | 60 | 3,051 |
tinygrad | examples/mlperf/model_spec.py | .py | # load each model here, quick benchmark
from tinygrad import Tensor, GlobalCounters
from tinygrad.helpers import getenv, Context
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 ... | 69 | 2,031 |
tinygrad | examples/mlperf/initializers.py | .py | import math
from typing import Union
from tinygrad import Tensor, nn, dtypes
from tinygrad.helpers import prod, argfix, Context, TRAINING
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)... | 190 | 11,621 |
tinygrad | examples/mlperf/losses.py | .py | 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... | 29 | 1,146 |
tinygrad | examples/mlperf/optim.py | .py | from tinygrad.tensor import Tensor
from tinygrad.dtype import dtypes
from tinygrad.nn.optim import Optimizer, OptimizerGroup
from tinygrad.helpers import FUSE_OPTIM, getenv
from tinygrad.uop.ops import UOp, Ops, AxisType
STOCHASTIC_ROUND = getenv("STOCHASTIC_ROUND", 0)
MASTER_WEIGHTS = getenv("MASTER_WEIGHTS", 0)
ZERO... | 145 | 7,654 |
tinygrad | examples/mlperf/dataloader.py | .py | 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
import numpy as np
from tinygrad import dtypes, Tensor
from tinygrad.helpers import getenv, prod, Context, round_up, tqdm... | 823 | 31,361 |
tinygrad | examples/mlperf/metrics.py | .py | 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... | 69 | 2,508 |
tinygrad | examples/mlperf/model_train.py | .py | import os, time, math, functools, random, contextlib
from pathlib import Path
import multiprocessing
from tinygrad import Device, GlobalCounters, Tensor, TinyJit, dtypes, Context
from tinygrad.helpers import getenv, BEAM, WINO, round_up, diskcache_clear, Profiling, profile_marker, DEBUG
from tinygrad.nn.state import g... | 2,100 | 95,155 |
tinygrad | examples/mlperf/helpers.py | .py | 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... | 368 | 15,708 |
tinygrad | examples/mlperf/model_eval.py | .py | 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... | 508 | 24,763 |
tinygrad | examples/mlperf/models/flat_llama.py | .py | 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::gfx950"
# CDNA
os.environ["DEVICE_IN_FUNCTION_BUG"] = "1"
os.environ["ALL2ALL"] = "1"
os.environ["USE_ATOMICS"] = "1"
if "HK_F... | 459 | 25,976 |
tinygrad | examples/mlperf/models/gpt_oss.py | .py | import math, os, functools
if __name__ == "__main__":
os.environ["DEFAULT_FLOAT"] = "bfloat16"
os.environ["OPTIM_DTYPE"] = "bfloat16"
if "DEV" not in os.environ: os.environ["DEV"] = "NULL::gfx950"
# CDNA
os.environ["DEVICE_IN_FUNCTION_BUG"] = "1"
os.environ["ALL2ALL"] = "1"
os.environ["USE_ATOMICS"] = "1"... | 356 | 18,355 |
tinygrad | examples/mlperf/models/test_apply_grad.py | .py | import unittest
from tinygrad import Tensor, TinyJit
from tinygrad.nn.state import get_parameters
from examples.mlperf.models.flat_llama import apply_grad
class FlatModel:
def __init__(self, n_layers:int, dim:int, hidden:int):
self.n_layers = n_layers
self.w1 = Tensor.uniform(n_layers, dim, hidden, low=-0.1,... | 69 | 2,746 |
tinygrad | examples/mlperf/models/test_flat_llama.py | .py | import os
os.environ["WQKV"] = "1"
import unittest
import numpy as np
from tinygrad import Tensor, nn, dtypes
from tinygrad.device import Device
from examples.mlperf.models.llama import Transformer
from examples.mlperf.models.flat_llama import FlatTransformer
def copy_weights(flat:FlatTransformer, ref:Transformer):
... | 138 | 6,606 |
tinygrad | examples/openpilot/compile3.py | .py | import os, sys, pickle, time, re, tempfile, struct, shutil, io
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
fr... | 187 | 7,915 |
tinygrad | examples/openpilot/load_pickle.py | .py | import sys
from extra.bench_log import WallTimeEvent, BenchEvent
from examples.openpilot.compile3 import load_pickle
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: load_pickle(open(... | 18 | 606 |
tinygrad | examples/vgg7_helpers/waifu2x.py | .py | # Implementation of waifu2x vgg7 in tinygrad.
# Obviously, not developed, supported, etc. by the original waifu2x author(s).
import numpy
from tinygrad.tensor import Tensor
from PIL import Image
from tinygrad.helpers import fetch
# File Formats
# tinygrad convolution tensor input layout is (1,c,y,x) - and therefore ... | 194 | 7,976 |
tinygrad | examples/other_mnist/beautiful_mnist_torch.py | .py | 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)... | 70 | 2,667 |
XX-Net | code/default/babel_update.py | .py | #!/usr/env/bin python
import os
# pip install googletrans==4.0.0-rc1
from googletrans import Translator
import polib
translator = Translator(service_urls=[
'translate.google.com',
])
for lang in ["ru_RU"]: # "fa_IR",
for module in ["launcher", "smart_router", "x_tunnel"]: #
source_po = pol... | 45 | 1,246 |
XX-Net | code/default/x_tunnel/local/base_container.py | .py | import os
import sys
import threading
import time
import socket
import xstruct as struct
from datetime import datetime
import selectors2 as selectors
import utils
from xlog import getLogger
xlog = getLogger("x_tunnel")
class WriteBuffer(object):
def __init__(self, s=None):
if isinstance(s, bytes):
... | 887 | 31,790 |
XX-Net | code/default/x_tunnel/local/proxy_handler.py | .py | import time
import socket
import struct
try:
from urllib.parse import urlparse
except ImportError:
from urlparse import urlparse
import utils
from xlog import getLogger
xlog = getLogger("x_tunnel")
from . import global_var as g
from . import proxy_session
from . import openai_handler
def netloc_to_host_por... | 393 | 13,348 |
XX-Net | code/default/x_tunnel/local/gae_front.py | .py | import os
import sys
from xlog import getLogger
xlog = getLogger("x_tunnel")
current_path = os.path.dirname(os.path.abspath(__file__))
launcher_path = os.path.abspath( os.path.join(current_path, os.pardir, os.pardir, "launcher"))
if launcher_path not in sys.path:
sys.path.append(launcher_path)
import utils
try:... | 78 | 1,778 |
XX-Net | code/default/x_tunnel/local/upload_logs.py | .py | import os
import time
import io
import json
import zipfile
import operator
import simple_http_client
import env_info
import utils
from xlog import getLogger, reset_log_files
xlog = getLogger("x_tunnel")
from x_tunnel.local import global_var as g
current_path = os.path.dirname(os.path.abspath(__file__))
root_path = o... | 199 | 6,987 |
XX-Net | code/default/x_tunnel/local/proxy_session.py | .py | import os
import time
import json
import threading
import xstruct as struct
import hashlib
from xlog import getLogger, keep_log
xlog = getLogger("x_tunnel")
import utils
from . import base_container
import encrypt
from . import global_var as g
from gae_proxy.local import check_local_network
from .upload_logs import u... | 1,401 | 54,996 |
XX-Net | code/default/x_tunnel/local/__init__.py | .py | __all__ = ["local", "start"]
from . import client
from . import apis
from . import web_control
def is_ready():
return client.ready
def start(args):
client.start(args)
def stop():
client.stop()
| 19 | 213 |
XX-Net | code/default/x_tunnel/local/global_var.py | .py | xxnet_version = ""
client_uuid = ""
system = ""
running = True
protocol_version = 4
bind_port = 0
last_refresh_time = 0
login_process = False
data_path = None
config = None
http_client = None
cloudflare_front = None
cloudfront_front = None
tls_relay_front = None
seley_front = None
session = None
socks5_server = None... | 43 | 654 |
XX-Net | code/default/x_tunnel/local/openai_handler.py | .py | import random
import json
import base64
import time
import zlib
import utils
from . import global_var as g
from . import front_dispatcher
from . import proxy_session
from xlog import getLogger
xlog = getLogger("x_tunnel")
openai_chat_token_price = 0.000002
host = None
gzip_decompressor = zlib.decompressobj(16 + zl... | 96 | 2,520 |
XX-Net | code/default/x_tunnel/local/front_dispatcher.py | .py | import time
import threading
import os
import random
from threading import Lock
all_fronts = []
light_fronts = []
session_fronts = []
cloudflare_front = None
from . import global_var as g
import utils
from xlog import getLogger
import env_info
current_path = os.path.dirname(os.path.abspath(__file__))
root_path = os.... | 224 | 6,887 |
XX-Net | code/default/x_tunnel/local/web_control.py | .py | #!/usr/bin/env python
# coding:utf-8
try:
from urllib.parse import urlparse, parse_qs
except ImportError:
from urlparse import urlparse, parse_qs
import os
import time
import hashlib
import threading
import json
import base64
import utils
from xlog import getLogger
xlog = getLogger("x_tunnel")
import simpl... | 571 | 21,182 |
XX-Net | code/default/x_tunnel/local/client.py | .py | import os
import sys
import json
import platform
current_path = os.path.dirname(os.path.abspath(__file__))
python_path = os.path.abspath(os.path.join(current_path, os.pardir, os.pardir))
noarch_lib = os.path.abspath(os.path.join(python_path, 'lib', 'noarch'))
sys.path.append(noarch_lib)
root_path = os.path.abspath(o... | 154 | 4,257 |
XX-Net | code/default/x_tunnel/local/direct_front.py | .py |
# This front is for debug
import time
import simple_http_client
from xlog import getLogger
xlog = getLogger("x_tunnel")
name = "direct_front"
last_success_time = 0
last_fail_time = 0
continue_fail_num = 0
success_num = 0
fail_num = 0
def init():
global last_success_time, last_fail_time, continue_fail_num
cl... | 113 | 2,306 |
XX-Net | code/default/x_tunnel/local/config.py | .py | import sys
import os
import env_info
data_path = env_info.data_path
data_xtunnel_path = os.path.join(data_path, 'x_tunnel')
import xconfig
from xlog import getLogger
xlog = getLogger("x_tunnel")
def load_config():
if len(sys.argv) > 2 and sys.argv[1] == "-f":
config_path = sys.argv[2]
else:
... | 116 | 3,413 |
XX-Net | code/default/x_tunnel/local/apis.py | .py | import time
from . import global_var as g
from . import front_dispatcher
from xlog import getLogger
xlog = getLogger("x_tunnel")
workable_call_times = 0
def set_proxy(args):
xlog.info("set_proxy:%s", args)
for front in front_dispatcher.all_fronts:
try:
front.set_proxy(args)
exc... | 49 | 994 |
XX-Net | code/default/x_tunnel/local/seley_front/rc4_wrap.py | .py | import socket
import time
import struct
import json
import os
import errno
import env_info
import xlog
data_path = env_info.data_path
module_data_path = os.path.join(data_path, 'x_tunnel')
logger = xlog.getLogger("seley_front", log_path=module_data_path, save_start_log=1500, save_warning_log=True)
logger.set_buffer(3... | 213 | 6,108 |
XX-Net | code/default/x_tunnel/local/seley_front/front.py | .py | import os
current_path = os.path.dirname(os.path.abspath(__file__))
root_path = os.path.abspath(os.path.join(current_path, os.pardir, os.pardir, os.pardir))
import env_info
import xlog
from front_base.http_dispatcher import HttpsDispatcher
from front_base.connect_manager import ConnectManager
from gae_proxy.local im... | 113 | 3,703 |
XX-Net | code/default/x_tunnel/local/seley_front/web_control.py | .py | #!/usr/bin/env python
# coding:utf-8
import os
import time
try:
from urllib.parse import urlparse, parse_qs
except ImportError:
from urlparse import urlparse, parse_qs
import simple_http_server
from .front import front
current_path = os.path.dirname(os.path.abspath(__file__))
root_path = os.path.abspath(... | 94 | 3,196 |
XX-Net | code/default/x_tunnel/local/seley_front/connect_creator.py | .py | import socket
import struct
import time
import socks
import utils
from front_base.connect_creator import ConnectCreator as ConnectCreatorBase
from . import rc4_wrap
class ConnectCreator(ConnectCreatorBase):
def connect_ssl(self, ip_str, sni, host, close_cb=None):
ip_str = utils.to_str(ip_str)
... | 87 | 3,077 |
XX-Net | code/default/x_tunnel/local/seley_front/config.py | .py |
from front_base.config import ConfigBase
class Config(ConfigBase):
def __init__(self, fn):
super(Config, self).__init__(fn)
# front
self.set_var("front_continue_fail_num", 10)
self.set_var("front_continue_fail_block", 60)
self.set_var("allow_set_hosts", 1)
# http... | 35 | 1,187 |
XX-Net | code/default/x_tunnel/local/seley_front/test.py | .py | #!/usr/bin/env python2
# coding:utf-8
import os
import sys
import time
import threading
current_path = os.path.dirname(os.path.abspath(__file__))
root_path = os.path.abspath( os.path.join(current_path, os.pardir, os.pardir, os.pardir))
python_path = root_path
sys.path.append(root_path)
noarch_lib = os.path.abspath(... | 60 | 1,676 |
XX-Net | code/default/x_tunnel/local/seley_front/ip_manager.py | .py | import time
import os
import json
import socket
import threading
from front_base.ip_manager import IpManagerBase
import utils
from xlog import getLogger
xlog = getLogger("seley_front")
class IpManager(IpManagerBase):
def __init__(self, config, logger, config_fn, speed_fn):
super().__init__(config, None, ... | 166 | 4,865 |
XX-Net | code/default/x_tunnel/local/cloudfront_front/host_manager.py | .py |
from front_base.random_get_slice import RandomGetSlice
class HostManager(RandomGetSlice):
def __init__(self, fn, max_size):
super(HostManager, self).__init__(fn, max_size)
def get_sni_host(self, ip):
sni = self.get()
top_domain = ""
return sni, top_domain
| 13 | 300 |
XX-Net | code/default/x_tunnel/local/cloudfront_front/front.py | .py | import os
import xlog
logger = xlog.getLogger("cloudfront_front")
logger.set_buffer(500)
from front_base.openssl_wrap import SSLContext
from front_base.ip_manager import IpManager
from front_base.ip_source import Ipv4RangeSource
from front_base.http_dispatcher import HttpsDispatcher
from front_base.connect_manager im... | 126 | 4,469 |
XX-Net | code/default/x_tunnel/local/cloudfront_front/check_ip.py | .py | #!/usr/bin/env python2
# coding:utf-8
import sys
import os
import threading
current_path = os.path.dirname(os.path.abspath(__file__))
root_path = os.path.abspath( os.path.join(current_path, os.pardir, os.pardir, os.pardir))
python_path = root_path
sys.path.append(root_path)
noarch_lib = os.path.abspath( os.path.joi... | 152 | 4,371 |
XX-Net | code/default/x_tunnel/local/cloudfront_front/web_control.py | .py | #!/usr/bin/env python
# coding:utf-8
import os
import time
try:
from urllib.parse import urlparse, parse_qs
except ImportError:
from urlparse import urlparse, parse_qs
import simple_http_server
from .front import front
current_path = os.path.dirname(os.path.abspath(__file__))
root_path = os.path.abspath(o... | 144 | 5,395 |
XX-Net | code/default/x_tunnel/local/cloudfront_front/connect_creator.py | .py |
import socket
from front_base.connect_creator import ConnectCreator as ConnectCreatorBase
class ConnectCreator(ConnectCreatorBase):
def check_cert(self, ssl_sock):
cert_chain = ssl_sock.get_peer_cert_chain()
if not cert_chain:
raise socket.error(' certificate is none, sni:%s' % ssl_so... | 53 | 1,879 |
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