repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/hcqfuzz/tests/resnet.py | extra/hcqfuzz/tests/resnet.py | from extra.hcqfuzz.spec import TestSpec
import random
resnet_train_params = {
"DEFAULT_FLOAT": "HALF",
"SUM_DTYPE": "HALF",
"GPUS": 6,
"BS": 1536,
"EVAL_BS": 192,
"TRAIN_BEAM": 4,
"IGNORE_JIT_FIRST_BEAM": 1,
"BEAM_UOPS_MAX": 2000,
"BEAM_UPCAST_MAX": 96,
"BEAM_LOCAL_MAX": 1024,
"BEAM_MIN_PROGRESS"... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/hcqfuzz/tests/hcq.py | extra/hcqfuzz/tests/hcq.py | from extra.hcqfuzz.spec import TestSpec
import random
class HCQSignalFuzzer(TestSpec):
def prepare(self, dev, seed):
random.seed(seed)
self.env = {
"GPUS": random.choice([2, 3, 4, 5, 6]),
"ITERS": random.randint(1000000, 10000000),
"SEED": seed,
}
self.cmd = "python3 test/external... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/hcqfuzz/tests/allreduce.py | extra/hcqfuzz/tests/allreduce.py | from extra.hcqfuzz.spec import TestSpec
import random
class RingAllreduce(TestSpec):
def prepare(self, dev, seed):
random.seed(seed)
self.env = {
"GPUS": random.choice([2, 3, 4, 5, 6]),
"ITERS": random.randint(10, 1000),
"DEBUG": 2,
}
self.cmd = "python3 test/external/external_ben... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/hcqfuzz/tests/allocator.py | extra/hcqfuzz/tests/allocator.py | from extra.hcqfuzz.spec import TestSpec
import random
class TLSFAllocator(TestSpec):
def prepare(self, dev, seed):
random.seed(seed)
self.env = {
"SEED": seed,
"ITERS": random.randint(10000, 1000000),
}
self.cmd = "python3 test/external/external_fuzz_tlsf.py"
self.timeout = 60 *... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/usbgpu/patch.py | extra/usbgpu/patch.py | #!/usr/bin/env python3
import sys, os, zlib, struct, hashlib
from tinygrad.helpers import DEBUG, getenv, fetch
from tinygrad.runtime.support.usb import USB3
SUPPORTED_CONTROLLERS = [
(0x174C, 0x2464),
(0x174C, 0x2463),
(0xADD1, 0x0001),
]
if getenv("USBDEV", ""): SUPPORTED_CONTROLLERS.insert(0, (int(x, 16) for x... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/usbgpu/scan_pci.py | extra/usbgpu/scan_pci.py | import array, time
from hexdump import hexdump
from tinygrad.runtime.support.usb import ASM24Controller
from tinygrad.runtime.autogen import pci
usb = ASM24Controller()
def print_cfg(bus, dev):
cfg = []
for i in range(0, 256, 4):
cfg.append(usb.pcie_cfg_req(i, bus=bus, dev=dev, fn=0, value=None, size=4))
p... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/usbgpu/legacy/wr_speed.py | extra/usbgpu/legacy/wr_speed.py | import array, time, ctypes, struct, random
from hexdump import hexdump
from tinygrad.runtime.support.usb import ASMController, WriteOp
from tinygrad.runtime.autogen import pci
from tinygrad.helpers import Timing
from tinygrad import Device
usb = ASMController()
xxx = (ctypes.c_uint8 * 4096)()
dfg = random.randint(0, ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/usbgpu/legacy/nvme_speed.py | extra/usbgpu/legacy/nvme_speed.py | import array, time, ctypes, struct, random
from hexdump import hexdump
from tinygrad.runtime.support.usb import ASM24Controller, WriteOp, ScsiWriteOp
from tinygrad.runtime.autogen import pci
from tinygrad.helpers import Timing
from tinygrad import Device
usb = ASM24Controller()
def real_scsi_write():
self.exec_ops(... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/usbgpu/legacy/patch_exp.py | extra/usbgpu/legacy/patch_exp.py | #!/usr/bin/env python3
import sys
import zlib
def patch(input_filepath, output_filepath, patches):
with open(input_filepath, 'rb') as infile: data = bytearray(infile.read())
for offset, expected_bytes, new_bytes in patches:
if len(expected_bytes) != len(new_bytes):
print(len(expected_bytes), len(new_byt... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/usbgpu/tbgpu/main.py | extra/usbgpu/tbgpu/main.py | import ctypes, ctypes.util, sys
cf = ctypes.CDLL(ctypes.util.find_library("CoreFoundation"))
iokit = ctypes.CDLL(ctypes.util.find_library("IOKit"))
libsys = ctypes.CDLL(ctypes.util.find_library("System"))
kern_return_t = ctypes.c_int
mach_port_t = ctypes.c_uint
io_object_t = mach_port_t
io_service_t = io_object_t
io_... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/extra/mmapeak/mmapeak.py | extra/mmapeak/mmapeak.py | import os, pathlib
# TODO: there is a timing bug without this
os.environ["AMD_AQL"] = "1"
from tinygrad.device import Device
from tinygrad.runtime.support.compiler_amd import HIPCompiler
from tinygrad.runtime.ops_amd import AMDProgram
NUM_WORKGROUPS = 96
WAVE_SIZE = 32
NUM_WAVES = 2
FLOPS_PER_MATMUL = 16*16*16*2
INT... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/docs/abstractions3.py | docs/abstractions3.py | # abstractions2 goes from back to front, here we will go from front to back
from typing import List
from tinygrad.helpers import tqdm
# *****
# 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 a... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/stable_diffusion.py | examples/stable_diffusion.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
from PIL import Image
import numpy as np
from tinygrad import Device, G... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/stunning_mnist.py | examples/stunning_mnist.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
from tinygrad.nn.datasets import mnist
from tinygrad.helpers im... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/llama3.py | examples/llama3.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.nn.state import safe_load, torch_load, load_state_dict, get_parameters, gguf_load
from tinygrad import Tensor, dtypes, ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/vgg7.py | examples/vgg7.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 =... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/test_onnx_imagenet.py | examples/test_onnx_imagenet.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/olmoe.py | examples/olmoe.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/whisper.py | examples/whisper.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/llama.py | examples/llama.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 ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/benchmark_onnx.py | examples/benchmark_onnx.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) ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/minrf.py | examples/minrf.py | # 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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/beautiful_cartpole.py | examples/beautiful_cartpole.py | 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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/beautiful_mnist.py | examples/beautiful_mnist.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
from tinygrad.helpers import getenv, colored, trange
from tinygrad.nn.datasets import mnist
class Model:
def __init_... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/beautiful_cifar.py | examples/beautiful_cifar.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(... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/test_pkl_imagenet.py | examples/test_pkl_imagenet.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]
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mamba.py | examples/mamba.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/beautiful_mnist_multigpu.py | examples/beautiful_mnist_multigpu.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
from tinygrad.helpers import getenv, colored, trange
from tinygrad.nn.datasets import mnist
GPUS = tuple(... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/gradaccum_mnist.py | examples/gradaccum_mnist.py | 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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/hlb_cifar10.py | examples/hlb_cifar10.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/qwq.py | examples/qwq.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/torch_cuda_kernel.py | examples/torch_cuda_kernel.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[:,... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/train_resnet.py | examples/train_resnet.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/sdv2.py | examples/sdv2.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/yolov3.py | examples/yolov3.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/gpt2.py | examples/gpt2.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,... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/__init__.py | examples/__init__.py | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false | |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mixtral.py | examples/mixtral.py | 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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/yolov8.py | examples/yolov8.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
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/sdxl.py | examples/sdxl.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/compile_tensorflow.py | examples/compile_tensorflow.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/compile_efficientnet.py | examples/compile_efficientnet.py | from pathlib import Path
from extra.models.efficientnet import EfficientNet
from tinygrad.tensor import Tensor
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 getenv, fetch
import ast
if __name__ == "__main__":... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mnist_gan.py | examples/mnist_gan.py | from pathlib import Path
import numpy as np
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 extra.datasets import fetch_mnist
class LinearGen:
def __... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/transformer.py | examples/transformer.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/yolov8-onnx.py | examples/yolov8-onnx.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/tools/gpuburn.py | examples/tools/gpuburn.py | from tinygrad import Tensor, Device, TinyJit, dtypes
from tinygrad.helpers import getenv
GPUS = getenv("GPUS", 4) # TODO: expose a way in tinygrad to access this
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, d... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/tools/bandwidth_test.py | examples/tools/bandwidth_test.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/llm.c/train_gpt2.py | examples/llm.c/train_gpt2.py | #!/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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/llm.c/export.py | examples/llm.c/export.py | #!/usr/bin/env python3
import os
if "NOOPT" not in os.environ: os.environ["NOOPT"] = "1"
from tinygrad import Device, nn, Tensor, dtypes
Device.DEFAULT = "CPU"
from train_gpt2 import GPT, GPTConfig
from tinygrad.helpers import dedup, flatten, getenv, GlobalCounters, to_function_name
from tinygrad.engine.realize import ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mlperf/metrics.py | examples/mlperf/metrics.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mlperf/model_spec.py | examples/mlperf/model_spec.py | # 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_... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mlperf/model_train.py | examples/mlperf/model_train.py | 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
from tinygrad.nn.state import get_parameters, get_state_dict, l... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | true |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mlperf/model_eval.py | examples/mlperf/model_eval.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mlperf/initializers.py | examples/mlperf/initializers.py | 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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mlperf/helpers.py | examples/mlperf/helpers.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mlperf/losses.py | examples/mlperf/losses.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mlperf/lr_schedulers.py | examples/mlperf/lr_schedulers.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... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/mlperf/dataloader.py | examples/mlperf/dataloader.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, cpu_count
import numpy as np
from tinygrad import dtypes, Tensor
from tinygrad.helpers import getenv, prod, Context, rou... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/other_mnist/beautiful_mnist_torch.py | examples/other_mnist/beautiful_mnist_torch.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)... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/vgg7_helpers/waifu2x.py | examples/vgg7_helpers/waifu2x.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 ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/tinychat/tinychat-browser/compile.py | examples/tinychat/tinychat-browser/compile.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 fetch, Context
from tiktoken.load ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/openpilot/compile3.py | examples/openpilot/compile3.py | 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.engine.realize import CompiledRunner
from tinygrad.... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/webgpu/yolov8/compile.py | examples/webgpu/yolov8/compile.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.nn.state import safe_load, load_state_dict
if __name__ == "__main__":... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/examples/webgpu/stable_diffusion/compile.py | examples/webgpu/stable_diffusion/compile.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
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/bin/geo-proxy.py | bin/geo-proxy.py | import gevent
from gevent.pywsgi import WSGIServer
from gevent.queue import Queue
from gevent.monkey import patch_all
from gevent.subprocess import Popen, PIPE, STDOUT
patch_all()
import sys
import os
import json
from flask import (
Flask,
request,
render_template,
send_from_directory,
send_file,... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/bin/srv.py | bin/srv.py | #!/usr/bin/env python
# vim: set encoding=utf-8
from gevent.pywsgi import WSGIServer
from gevent.monkey import patch_all
patch_all()
# pylint: disable=wrong-import-position,wrong-import-order
import sys
import os
import jinja2
from flask import Flask, request, send_from_directory, send_file
APP = Flask(__name__)
... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/bin/proxy.py | bin/proxy.py | # vim: fileencoding=utf-8
"""
The proxy server acts as a backend for the wttr.in service.
It caches the answers and handles various data sources transforming their
answers into format supported by the wttr.in service.
If WTTRIN_TEST is specified, it works in a special test mode:
it does not fetch and does not store... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/buttons.py | lib/buttons.py | TWITTER_BUTTON = """
<a href="https://twitter.com/igor_chubin?ref_src=twsrc%5Etfw" class="twitter-follow-button" data-show-count="false">Follow @igor_chubin</a><script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
"""
GITHUB_BUTTON = """
<a aria-label="Star chubin/wttr.in on GitHub" dat... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/proxy_log.py | lib/proxy_log.py | """
Logger of proxy queries
"""
# pylint: disable=consider-using-with,too-few-public-methods
import datetime
class Logger:
"""
Generic logger.
For specific loggers, _shorten_query() should be rewritten.
"""
def __init__(self, filename_access, filename_errors):
self._filename_access =... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/constants.py | lib/constants.py | # vim: fileencoding=utf-8
WWO_CODE = {
"113": "Sunny",
"116": "PartlyCloudy",
"119": "Cloudy",
"122": "VeryCloudy",
"143": "Fog",
"176": "LightShowers",
"179": "LightSleetShowers",
"182": "LightSleet",
"185": "LightSleet",
"200": "ThunderyShowers",
"227": "LightSnow",
"2... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/wttr_srv.py | lib/wttr_srv.py | #!/usr/bin/env python
# vim: set encoding=utf-8
"""
Main wttr.in rendering function implementation
"""
import logging
import io
import os
import time
from gevent.threadpool import ThreadPool
from flask import render_template, send_file, make_response
import fmt.png
import parse_query
from translations import (
... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/translations.py | lib/translations.py | # vim: fileencoding=utf-8
"""
Translation of almost everything.
"""
FULL_TRANSLATION = [
"am",
"ar",
"af",
"be",
"bn",
"ca",
"da",
"de",
"el",
"et",
"fr",
"fa",
"gl",
"hi",
"hu",
"ia",
"id",
"it",
"lt",
"mg",
"nb",
"nl",
"oc",... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | true |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/airports.py | lib/airports.py | import csv
AIRPORTS_DAT_FILE = "/home/igor/wttrin-geo/share/airports.dat"
def load_aiports_index():
file_ = open(AIRPORTS_DAT_FILE, "r")
reader = csv.reader(file_)
airport_index = {}
for line in reader:
airport_index[line[4]] = line
return airport_index
AIRPORTS_INDEX = load_aiports_i... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/translations_v2.py | lib/translations_v2.py | # vim: fileencoding=utf-8
"""
Translation of v2
"""
# pylint: disable=line-too-long,bad-whitespace
V2_TRANSLATION = {
"en": (
"Weather report for:",
"Weather",
"Timezone",
"Now",
"Dawn",
"Sunrise",
"Zenith",
"Sunset",
"Dusk",
),
"af":... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/limits.py | lib/limits.py | """
Connection limitation.
Number of connections from one IP is limited.
We have nothing against scripting and automated queries.
Even the opposite, we encourage them. But there are some
connection limits that even we can't handle.
Currently the limits are quite restrictive, but they will be relaxed
in the future.
Us... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/parse_query.py | lib/parse_query.py | import re
import json
import zlib
import base64
def serialize(parsed_query):
return base64.b64encode(
zlib.compress(json.dumps(parsed_query).encode("utf-8")), altchars=b"-_"
).decode("utf-8")
def deserialize(url):
string = url[2:]
extension = None
if "." in string:
string, exte... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/metno.py | lib/metno.py | #!/bin/env python
# vim: fileencoding=utf-8
from datetime import datetime, timedelta
import json
import logging
import os
import re
import sys
import timezonefinder
from pytz import timezone
from constants import WWO_CODE
logging.basicConfig(level=os.environ.get("LOGLEVEL", "INFO"))
logger = logging.getLogger(__name... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/duplicate_translations.py | lib/duplicate_translations.py | import os
def remove_colon_and_strip_from_str(line):
"""
Removes the colon from the line and strips the line.
"""
return line.replace(":", "").strip()
def print_result_for_file(file_path, file_name, duplicate_entries):
"""
Prints the result for a given file.
"""
print("-" * 50)
p... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/location.py | lib/location.py | """
All location related functions and converters.
The main entry point is `location_processing` which gets `location` and
`source_ip_address` and basing on this information generates precise location
description.
[query] --> [location] --> [(lat,long)] -->
^
... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/extract_emoji.py | lib/extract_emoji.py | #!/usr/bin/env python
# vim: fileencoding=utf-8
"""
At the moment, Pillow library does not support colorful emojis,
that is why emojis must be extracted to external files first,
and then they must be handled as usual graphical objects
and not as text.
The files are extracted using Imagemagick.
Usage:
ve/bi/pyt... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/fields.py | lib/fields.py | """
Human readable description of the available data fields
describing current weather, weather forecast, and astronomical data
"""
DESCRIPTION = {
# current condition fields
"FeelsLikeC": (
"Feels Like Temperature in Celsius",
"temperature_feels_like_celsius",
),
"FeelsLikeF": (
... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/globals.py | lib/globals.py | """
global configuration of the project
External environment variables:
WTTR_MYDIR
WTTR_GEOLITE
WTTR_WEGO
WTTR_LISTEN_HOST
WTTR_LISTEN_PORT
WTTR_USER_AGENT
"""
from __future__ import print_function
import logging
import os
import re
MYDIR = os.path.abspath(os.path.dirname(os.path.dirname("_... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/cache.py | lib/cache.py | """
LRU-Cache implementation for formatted (`format=`) answers
"""
import datetime
import re
import time
import os
import hashlib
import random
import pytz
import pylru
from globals import LRU_CACHE
CACHE_SIZE = 10000
CACHE = pylru.lrucache(CACHE_SIZE)
# strings longer than this are stored not in ram
# but in the ... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/weather_data.py | lib/weather_data.py | """
Weather data source
"""
import json
import requests
from globals import WWO_KEY
def get_weather_data(location, lang):
"""
Get weather data for `location`
"""
key = WWO_KEY
url = (
"/premium/v1/weather.ashx"
"?key=%s&q=%s&format=json"
"&num_of_days=3&tp=3&lang=%s"
)... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/view/prometheus.py | lib/view/prometheus.py | """
Rendering weather data in the Prometheus format.
"""
from datetime import datetime
from fields import DESCRIPTION
def _render_current(data, for_day="current", already_seen=[]):
"Converts data into prometheus style format"
output = []
for field_name, val in DESCRIPTION.items():
help, name... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/view/wttr.py | lib/view/wttr.py | # vim: set encoding=utf-8
# pylint: disable=wrong-import-position
"""
Main view (wttr.in) implementation.
The module is a wrapper for the modified Wego program.
"""
import sys
import re
from gevent.subprocess import Popen, PIPE
sys.path.insert(0, "..")
from translations import get_message, SUPPORTED_LANGS
from glob... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/view/moon.py | lib/view/moon.py | import sys
import os
import dateutil.parser
from gevent.subprocess import Popen, PIPE
sys.path.insert(0, "..")
import constants
import parse_query
import globals
def get_moon(parsed_query):
location = parsed_query["orig_location"]
html = parsed_query["html_output"]
lang = parsed_query["lang"]
hemi... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/view/__init__.py | lib/view/__init__.py | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false | |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/view/line.py | lib/view/line.py | # vim: fileencoding=utf-8
"""
One-line output mode.
Initial implementation of one-line output mode.
[ ] forecast
[ ] spark
[ ] several locations
[ ] location handling
[ ] more preconfigured format lines
[ ] add information about this mode to /:help
"""
import sys
import re
import datetime
import json
import request... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/view/v2.py | lib/view/v2.py | # vim: fileencoding=utf-8
# vim: foldmethod=marker foldenable:
"""
[X] emoji
[ ] wego icon
[ ] v2.wttr.in
[X] astronomical (sunset)
[X] time
[X] frames
[X] colorize rain data
[ ] date + locales
[X] wind color
[ ] highlight current date
[ ] bind to real site
[ ] max values: temperature
[X] max value: rain
[ ] comment g... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/fmt/unicodedata2.py | lib/fmt/unicodedata2.py | # downloaded from https://gist.github.com/2204527
# described/recommended here:
#
# http://stackoverflow.com/questions/9868792/find-out-the-unicode-script-of-a-character
#
from __future__ import print_function
from unicodedata import *
script_data = {
"names": [
"Common",
"Latin",
"Greek... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | true |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/fmt/__init__.py | lib/fmt/__init__.py | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false | |
chubin/wttr.in | https://github.com/chubin/wttr.in/blob/f1eb35993f0a919bf8da147a59f8919cb21fcb89/lib/fmt/png.py | lib/fmt/png.py | #!/usr/bin/python
# vim: encoding=utf-8
# pylint: disable=wrong-import-position,wrong-import-order,redefined-builtin
"""
This module is used to generate png-files for wttr.in queries.
The only exported function is:
* render_ansi(png_file, text, options=None)
`render_ansi` is the main function of the module,
which do... | python | Apache-2.0 | f1eb35993f0a919bf8da147a59f8919cb21fcb89 | 2026-01-04T14:43:49.710263Z | false |
hpcaitech/Open-Sora | https://github.com/hpcaitech/Open-Sora/blob/d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc/setup.py | setup.py | from typing import List
from setuptools import find_packages, setup
def fetch_requirements(paths) -> List[str]:
"""
This function reads the requirements file.
Args:
path (str): the path to the requirements file.
Returns:
The lines in the requirements file.
"""
if not isinsta... | python | Apache-2.0 | d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc | 2026-01-04T14:43:51.030080Z | false |
hpcaitech/Open-Sora | https://github.com/hpcaitech/Open-Sora/blob/d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc/scripts/vae/train.py | scripts/vae/train.py | import gc
import os
import random
import subprocess
import warnings
from contextlib import nullcontext
from copy import deepcopy
from pprint import pformat
warnings.filterwarnings("ignore", category=FutureWarning)
warnings.filterwarnings("ignore", category=UserWarning)
gc.disable()
import torch
import torch.distribu... | python | Apache-2.0 | d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc | 2026-01-04T14:43:51.030080Z | false |
hpcaitech/Open-Sora | https://github.com/hpcaitech/Open-Sora/blob/d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc/scripts/vae/inference.py | scripts/vae/inference.py | import os
from pprint import pformat
import colossalai
import torch
from colossalai.utils import get_current_device, set_seed
from tqdm import tqdm
from opensora.acceleration.parallel_states import get_data_parallel_group
from opensora.datasets import save_sample
from opensora.datasets.dataloader import prepare_datal... | python | Apache-2.0 | d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc | 2026-01-04T14:43:51.030080Z | false |
hpcaitech/Open-Sora | https://github.com/hpcaitech/Open-Sora/blob/d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc/scripts/vae/stats.py | scripts/vae/stats.py | from pprint import pformat
import colossalai
import torch
from colossalai.utils import get_current_device, set_seed
from tqdm import tqdm
from opensora.acceleration.parallel_states import get_data_parallel_group
from opensora.datasets.dataloader import prepare_dataloader
from opensora.registry import DATASETS, MODELS... | python | Apache-2.0 | d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc | 2026-01-04T14:43:51.030080Z | false |
hpcaitech/Open-Sora | https://github.com/hpcaitech/Open-Sora/blob/d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc/scripts/cnv/meta.py | scripts/cnv/meta.py | import argparse
import numpy as np
import pandas as pd
from pandarallel import pandarallel
from torchvision.io.video import read_video
from tqdm import tqdm
def set_parallel(num_workers: int = None) -> callable:
if num_workers == 0:
return lambda x, *args, **kwargs: x.progress_apply(*args, **kwargs)
... | python | Apache-2.0 | d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc | 2026-01-04T14:43:51.030080Z | false |
hpcaitech/Open-Sora | https://github.com/hpcaitech/Open-Sora/blob/d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc/scripts/cnv/shard.py | scripts/cnv/shard.py | import os
import pandas as pd
from tqdm import tqdm
try:
import dask.dataframe as dd
SUPPORT_DASK = True
except:
SUPPORT_DASK = False
def shard_parquet(input_path, k):
# 检查输入路径是否存在
if not os.path.exists(input_path):
raise FileNotFoundError(f"Input file {input_path} does not exist.")
... | python | Apache-2.0 | d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc | 2026-01-04T14:43:51.030080Z | false |
hpcaitech/Open-Sora | https://github.com/hpcaitech/Open-Sora/blob/d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc/scripts/diffusion/train.py | scripts/diffusion/train.py | import gc
import math
import os
import subprocess
import warnings
from contextlib import nullcontext
from copy import deepcopy
from pprint import pformat
warnings.filterwarnings("ignore", category=FutureWarning)
warnings.filterwarnings("ignore", category=UserWarning)
gc.disable()
import torch
import torch.distribute... | python | Apache-2.0 | d0cd5ac50da79e9a9d2285a952d4dcd806e6c8fc | 2026-01-04T14:43:51.030080Z | false |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.