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/test/external/external_metal_compile_fail.py | test/external/external_metal_compile_fail.py | # AssertionError: Error Domain=AGXMetalG15X_B0 Code=3 "Compiler encountered an internal error"
src = """
#include <metal_stdlib>
using namespace metal;
kernel void r_64_32_8_16_4_6_6_4(device float* data0, const device float* data1,
uint3 gid [[threadgroup_position_in_grid]], uint3 lid... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_process_count.py | test/external/external_test_process_count.py | import os, sys, time, multiprocessing
N = int(os.environ.get("NPROC", str(os.cpu_count())))
DEVICE = os.environ.get("DEV", "AMD")
# this tests the total number of processes that can be running tinygrad at a time
def proc(i, device, stop_evt):
from tinygrad import Tensor
try:
a = Tensor.ones(2, device=device)... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_multi_gpu.py | test/external/external_multi_gpu.py | #!/usr/bin/env python3
# cd extra/disassemblers/ && git clone --recursive github.com:geohot/cuda_ioctl_sniffer.git
# LD_PRELOAD=$PWD/extra/disassemblers/cuda_ioctl_sniffer/out/sniff.so CL=1 python3 test/external/external_multi_gpu.py
import numpy as np
from tinygrad.tensor import Tensor
from tinygrad.helpers import col... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_jit_on_models.py | test/external/external_test_jit_on_models.py | #!/usr/bin/env python
import unittest
import numpy as np
from tinygrad import Tensor, dtypes
from tinygrad.engine.jit import TinyJit
from tinygrad.helpers import CI
from test.helpers import derandomize_model
from examples.llama import Transformer
def helper_test_jitted_correctness(gen, train, train_jit):
nojit = tr... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_onnx_backend.py | test/external/external_test_onnx_backend.py | import unittest
from typing import Any, Tuple
from onnx.backend.base import Backend, BackendRep
import onnx.backend.test
import numpy as np
from tinygrad import Tensor, Device, dtypes
from tinygrad.helpers import getenv, OSX
from tinygrad.device import is_dtype_supported
from tinygrad.nn.onnx import OnnxRunner
# pip3 ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_image.py | test/external/external_test_image.py | #!/usr/bin/env python
import os
import unittest
import numpy as np
if 'IMAGE' not in os.environ:
os.environ['IMAGE'] = '2'
os.environ['CL'] = '1'
os.environ['OPT'] = '2'
from tinygrad.tensor import Tensor
from tinygrad.nn import Conv2d
class TestImage(unittest.TestCase):
def test_create_image(self):
t = Tensor... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_disk_raw.py | test/external/external_benchmark_disk_raw.py | import pathlib
from tinygrad import Tensor, Device, Context
from tinygrad.helpers import getenv
if __name__ == "__main__":
with Context(DEBUG=2):
disk_llama = Tensor(pathlib.Path(getenv("TESTFILE", "/raid/weights/LLaMA-3/8B/consolidated.00.pth")))
device_llama = disk_llama.to(Device.DEFAULT).realize()
| python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/fuzz_kfd.py | test/external/fuzz_kfd.py | #!/usr/bin/env python3
import random
from tqdm import trange
from typing import List
from tinygrad import Device
from tinygrad.runtime.ops_amd import AMDDevice, HWQueue
if __name__ == "__main__":
dev: List[AMDDevice] = [Device[f"KFD:{i}"] for i in range(6)]
print(f"got {len(dev)} devices")
buffers = [(rd:=rando... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_losses.py | test/external/external_test_losses.py | from tinygrad import Tensor
from test.external.mlperf_retinanet.focal_loss import sigmoid_focal_loss as ref_sigmoid_focal_loss
from test.external.mlperf_unet3d.dice import DiceCELoss
from examples.mlperf.losses import dice_ce_loss, sigmoid_focal_loss, l1_loss
import numpy as np
import torch
import unittest
class Exte... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_bert_softmax.py | test/external/external_benchmark_bert_softmax.py | from tinygrad import Tensor, dtypes, GlobalCounters
dtypes.default_float = dtypes.float16
from tinygrad.dtype import to_dtype
from tinygrad.helpers import getenv
from test.test_softmax_fusion import single_kernel_softmax
if __name__ == "__main__":
# softmax in bert layers
BS = getenv("BS", 96//6)
acc_dtype = to_... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_pyrender.py | test/external/external_benchmark_pyrender.py | # benchmark speed of pyrender for all created UOps saved with TRACK_MATCH_STATS=2
import functools, pickle
from tinygrad.uop.ops import UOp, Ops
from tinygrad.helpers import tqdm, temp, time_to_str, cpu_profile
BENCHMARK_OPS = {Ops.INDEX, Ops.BUFFERIZE}
@functools.cache
def create_uop(a:int) -> UOp:
op, dtype, src,... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/fuzz_shape_ops.py | test/external/fuzz_shape_ops.py | from __future__ import annotations
import unittest
from math import prod
from hypothesis import assume, given, settings, strategies as st
from hypothesis.extra import numpy as stn
import numpy as np
import torch
from tinygrad import Tensor
from tinygrad.helpers import getenv
settings.register_profile(__file__, sett... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_hcq.py | test/external/external_test_hcq.py | import unittest, ctypes, struct, time, array
from tinygrad import Device, Tensor, dtypes
from tinygrad.helpers import to_mv, CI
from tinygrad.device import Buffer, BufferSpec
from tinygrad.engine.realize import get_runner
def _time_queue(q, d):
st = time.perf_counter()
q.signal(d.timeline_signal, d.timeline_value)... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_bert_matmuls.py | test/external/external_benchmark_bert_matmuls.py | from tinygrad import Tensor, dtypes
dtypes.default_float = dtypes.float16
from tinygrad.dtype import to_dtype
from tinygrad.helpers import getenv
if __name__ == "__main__":
# matmuls in bert layers
BS = getenv("BS", 96//6)
acc_dtype = to_dtype(getenv("ACC_DTYPE", "half"))
tensors = [
(Tensor.empty(BS, 512,... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_metrics.py | test/external/external_test_metrics.py | from tinygrad import Tensor
from test.external.mlperf_unet3d.dice import DiceScore
from examples.mlperf.metrics import dice_score, log_perplexity
import numpy as np
import torch
import unittest, math
class ExternalTestMetrics(unittest.TestCase):
def _test_metrics(self, tinygrad_metrics, orig_metrics, pred, label, a... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_fuzz_hcq_signals.py | test/external/external_fuzz_hcq_signals.py | import random
from tinygrad import Device
from tinygrad.helpers import getenv, DEBUG
def main():
seed = getenv("SEED", 1337)
n_gpus = getenv("GPUS", 3)
iters = getenv("ITERS", 10000000)
only_compute = bool(getenv("ONLY_COMPUTE", 0))
print(f"{n_gpus} GPUs for {iters} iterations, {only_compute=}, seed {seed}"... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_schedule.py | test/external/external_benchmark_schedule.py | from extra.models.resnet import ResNet50
from tinygrad import Tensor, nn, Device
from tinygrad.helpers import Profiling, Timing, getenv
from tinygrad.uop.ops import Ops
from tinygrad.codegen import full_rewrite_to_sink
from tinygrad.codegen.late.linearizer import linearize
from tinygrad.uop.spec import type_verify, pro... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_dev_var.py | test/external/external_test_dev_var.py | import subprocess, unittest, os, sys
from tinygrad.device import Device
class TestTinygradSlow(unittest.TestCase):
def test_env_overwrite_default_device(self):
subprocess.run([f'{Device.DEFAULT}=1 python3 -c "from tinygrad import Device; assert Device.DEFAULT == \\"{Device.DEFAULT}\\""'],
she... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_lm_head.py | test/external/external_test_lm_head.py | from tinygrad import Tensor, nn
if __name__ == "__main__":
vocab_size = 50257
n_embd = 768
lm_head = nn.Linear(n_embd, vocab_size, bias=False)
bs = 4
seq_len = 1024
x = Tensor.rand(bs, seq_len, n_embd)
ret = lm_head(x).realize()
| python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_speed_llama.py | test/external/external_test_speed_llama.py | # NOTE: this only tests the speed of the LLaMA codegen, it doesn't actually run the net
import unittest, time
from examples.llama import Transformer, MODEL_PARAMS
from tinygrad.tensor import Tensor
from tinygrad import Device
from tinygrad.nn.state import get_state_dict
from tinygrad.device import Allocator, Compiled
f... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_resnet.py | test/external/external_benchmark_resnet.py | import functools
import time
import unittest
from tinygrad import Tensor, TinyJit, GlobalCounters, Device
from tinygrad.helpers import getenv, Context
from tinygrad.nn.optim import SGD
from tinygrad.nn.state import get_parameters
from tinygrad.engine.realize import run_schedule
from extra.models import resnet
from ex... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_hip_compile.py | test/external/external_test_hip_compile.py | import time, unittest
from tinygrad.runtime.support.hip_comgr import compile_hip
from tinygrad import Tensor
from tinygrad.device import Device
from tinygrad.engine.schedule import create_schedule
from tinygrad.codegen.opt.kernel import Kernel
class TestHIPCompileSpeed(unittest.TestCase):
@unittest.skipIf(Device.DEF... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_keccak.py | test/external/external_test_keccak.py | import unittest, zipfile, re
from tinygrad import Tensor
from tinygrad.helpers import fetch, tqdm
SHA3_URL = "https://csrc.nist.gov/CSRC/media/Projects/Cryptographic-Algorithm-Validation-Program/documents/sha3/sha-3bytetestvectors.zip"
SHAKE_URL = "https://csrc.nist.gov/CSRC/media/Projects/Cryptographic-Algorithm-Vali... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_yolov8.py | test/external/external_test_yolov8.py | import numpy as np
from examples.yolov8 import YOLOv8, get_variant_multiples, preprocess, label_predictions, postprocess
from tinygrad import Tensor
import unittest
import io, cv2
import onnxruntime as ort
import ultralytics
from tinygrad.nn.state import safe_load, load_state_dict
from tinygrad.helpers import fetch
cl... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_kernel_launch.py | test/external/external_benchmark_kernel_launch.py | import time
from tinygrad import Tensor, TinyJit, Device, Context
from tinygrad.helpers import Profiling, Timing, GlobalCounters
# python3 test/speed/external_test_speed_v_torch.py TestSpeed.test_add_a
@TinyJit
def plus(a:Tensor, b:Tensor): return a+b
if __name__ == "__main__":
a = Tensor([1]).realize()
b = Tens... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_speed_theoretical.py | test/external/external_test_speed_theoretical.py | import time, unittest
from tinygrad import Tensor, TinyJit, Device, dtypes
from tinygrad.helpers import getenv, GlobalCounters
SZMAX = getenv("SZMAX", 10)
SZMIN = min(SZMAX, getenv("SZMIN", 10))
def _test(tcount, fxn, dtype=dtypes.float):
print(f"**** testing {fxn.__name__} {dtype}")
allgbs = []
for sz in range(... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_fuzz_ampt.py | test/external/external_fuzz_ampt.py | import random
from typing import Optional
from tinygrad.helpers import round_up
from tinygrad.runtime.support.am.amdev import AMPageTableTraverseContext
from test.external.external_test_am import helper_read_entry_components, FakeAM
class AMPTFuzzer:
def __init__(self, total_size):
self.total_size = total_size
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_llama_schedule.py | test/external/external_benchmark_llama_schedule.py | from tinygrad import nn, Tensor, Device, dtypes
from tinygrad.helpers import Timing
from extra.models.llama import Transformer
from examples.llama3 import MODEL_PARAMS
if __name__ == "__main__":
Device.DEFAULT = "NULL"
Tensor.training = True
#model_size = "8B"
model_size = "405B"
with Timing("total "):
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_simple_tokenizer.py | test/external/external_test_simple_tokenizer.py | import functools, multiprocessing
from transformers import AutoTokenizer
from datasets import load_dataset
from tinygrad.apps.llm import SimpleTokenizer
from tinygrad.helpers import tqdm, getenv, partition
@functools.cache
def get_tokenizers():
print("getting tokenizers")
base_tokenizer = AutoTokenizer.from_pretra... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_tlsf.py | test/external/external_test_tlsf.py | import unittest
from tinygrad.runtime.support.memory import TLSFAllocator
class TestTLSFAllocator(unittest.TestCase):
def setUp(self):
self.allocator = TLSFAllocator(1024, block_size=16)
def test_basic_alloc_free(self):
addr1 = self.allocator.alloc(32)
self.assertEqual(addr1, 0)
addr2 = self.allo... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_model_benchmark.py | test/external/external_model_benchmark.py | import csv, pathlib, time
import numpy as np
import torch
torch.set_num_threads(1)
import onnxruntime as ort
from onnx2torch import convert
from tinygrad.nn.onnx import OnnxRunner
from tinygrad.helpers import OSX, DEBUG, fetch, getenv
from tinygrad.dtype import _to_np_dtype
from tinygrad import Tensor, Device, dtypes
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_fuzz_tlsf.py | test/external/external_fuzz_tlsf.py | import random
from typing import Dict, Optional
from tinygrad.helpers import getenv
from tinygrad.runtime.support.memory import TLSFAllocator
class AllocatorFuzzer:
def __init__(self, total_size):
self.total_size = total_size
self.alloc_payload = 0
self.mv = memoryview(bytearray(total_size))
self.all... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_keccak.py | test/external/external_benchmark_keccak.py | from tinygrad import Tensor, dtypes
from tinygrad.engine.jit import TinyJit
from tinygrad.helpers import Timing, getenv
if __name__ == "__main__":
BS = getenv("BS", 2**14)
BLOCKSIZE = getenv("BLOCKSIZE", 4096)
HASHFN = getenv("HASHFN", "shake_128")
NRUNS = getenv("NRUNS", 5)
@TinyJit
def hasher(data: Tens... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_hcq_open.py | test/external/external_test_hcq_open.py | import os
if "DEV" not in os.environ: os.environ["DEV"] = "AMD"
import unittest, time
from tinygrad import Device
class TestOpen(unittest.TestCase):
def generate_test_open(n):
def test(self):
dev = Device[Device.DEFAULT]
for i in range(10):
dev.allocator.alloc(10 << 20)
time.sleep(0.... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_usb_asm24.py | test/external/external_test_usb_asm24.py | import unittest, time
from tinygrad.runtime.support.usb import ASM24Controller
from tinygrad.helpers import Timing
from tinygrad import Tensor, Device
import numpy as np
class TestASMController(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.ctrl = ASM24Controller()
def test_write_and_read(self):
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_jit_failure.py | test/external/external_jit_failure.py | from tinygrad import Tensor, TinyJit, Device
import numpy as np
GPUS = 4
N = 128
ds = tuple([Device.canonicalize(f"{Device.DEFAULT}:{i}") for i in range(GPUS)])
t = Tensor.rand(N, N, N).shard(ds, 0)
n = t.numpy()
@TinyJit
def allreduce(t:Tensor) -> Tensor:
return t.sum(0) #.realize()
for i in range(10):
print(i)... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_test_datasets.py | test/external/external_test_datasets.py | from extra.datasets.kits19 import iterate, preprocess
from examples.mlperf.dataloader import batch_load_unet3d, batch_load_retinanet
from test.external.mlperf_retinanet.coco_utils import get_openimages
from test.external.mlperf_retinanet.openimages import postprocess_targets
from test.external.mlperf_retinanet.presets ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/external_benchmark_multitensor_allreduce.py | test/external/external_benchmark_multitensor_allreduce.py | from tinygrad import Tensor, Device, GlobalCounters, TinyJit, dtypes
from tinygrad.helpers import getenv, Context, DEBUG
def test(devs: list[str], N: int, iters:int = 10, name:str = "allreduce"):
@TinyJit
def f(t: Tensor) -> Tensor: t.sum(0).realize()
secs, gflops, gbs = 0, 0, 0
for i in range(-3, iters):
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/fuzz_symbolic.py | test/external/fuzz_symbolic.py | import random, operator
import z3
from tinygrad import Variable, dtypes
from tinygrad.uop.ops import UOp
from tinygrad.uop.validate import uops_to_z3
from tinygrad.helpers import DEBUG, Context
seed = random.randint(0, 100)
print(f"Seed: {seed}")
random.seed(seed)
unary_ops = [lambda a:a+random.randint(-4, 4), lambda... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_unet3d/dice.py | test/external/mlperf_unet3d/dice.py | # https://github.com/mlcommons/training/blob/master/image_segmentation/pytorch/model/losses.py
import torch
import torch.nn as nn
import torch.nn.functional as F
class Dice:
def __init__(self,
to_onehot_y: bool = True,
to_onehot_x: bool = False,
use_softmax: bool = True... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_unet3d/kits19.py | test/external/mlperf_unet3d/kits19.py | # copied from https://github.com/mlcommons/training/blob/5c08ce57e7f582cc4558035d8324a2bf4c8ca225/image_segmentation/pytorch/data_loading/pytorch_loader.py
import random
import numpy as np
import scipy.ndimage
from torch.utils.data import Dataset
from torchvision import transforms
def get_train_transforms():
ran... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_bert/external_benchmark_bert.py | test/external/mlperf_bert/external_benchmark_bert.py | import unittest, time
from tinygrad import Tensor, TinyJit, GlobalCounters, Device
from tinygrad.helpers import getenv, Context
from tinygrad.nn.optim import LAMB
from tinygrad.nn.state import get_parameters
from tinygrad.engine.realize import run_schedule
from extra.models import bert
bs = getenv("BS", 16)
seq_len ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_bert/external_test_checkpoint_loading.py | test/external/mlperf_bert/external_test_checkpoint_loading.py | # Test whether pretrained weights from first BERT pretraining phase have been loaded correctly
# Usage:
# 1. Download the BERT checkoints with `wikipedia_download.py`
# Command: BASEDIR=/path/to/wiki python3 wikipedia_download.py
# 2. Run this script. (Adjust EVAL_BS and GPUS as needed)
# Command: EVAL_BEAM=4 DEF... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_bert/preprocessing/create_pretraining_data.py | test/external/mlperf_bert/preprocessing/create_pretraining_data.py | # https://github.com/mlcommons/training/blob/1c8a098ae3e70962a4f7422c0b0bd35ae639e357/language_model/tensorflow/bert/cleanup_scripts/create_pretraining_data.py
# NOTE: This is a direct copy of the original script
# NOTE: With python 3.7.12, pip install tensorflow=1.15.5
"""Create masked LM/next sentence masked_lm TF ex... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_bert/preprocessing/tokenization.py | test/external/mlperf_bert/preprocessing/tokenization.py | # https://github.com/mlcommons/training/blob/1c8a098ae3e70962a4f7422c0b0bd35ae639e357/language_model/tensorflow/bert/cleanup_scripts/tokenization.py
# NOTE: This is a direct copy of the original script
"""Tokenization classes."""
from __future__ import absolute_import
from __future__ import division
from __future__ im... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_bert/preprocessing/external_test_preprocessing_part.py | test/external/mlperf_bert/preprocessing/external_test_preprocessing_part.py | # USAGE:
# 1. Download raw text data with `wikipedia_download.py`
# 2. Install python==3.7.12 and tensorflow==1.15.5
# Run `create_pretraining_data.py` to create TFRecords on specific part (This will take some time)
# Command: python3 create_pretraining_data.py --input_file=/path/to/part-00XXX-of-00500 --voc... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_bert/preprocessing/pick_eval_samples.py | test/external/mlperf_bert/preprocessing/pick_eval_samples.py | # https://github.com/mlcommons/training/blob/1c8a098ae3e70962a4f7422c0b0bd35ae639e357/language_model/tensorflow/bert/cleanup_scripts/pick_eval_samples.py
# NOTE: This is a direct copy of the original script
"""Script for picking certain number of sampels.
"""
import argparse
import time
import logging
import collectio... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/process_replay/reset.py | test/external/process_replay/reset.py | #!/usr/bin/env python3
from tinygrad.helpers import db_connection, VERSION
cur = db_connection()
cur.execute(f"drop table if exists process_replay_{VERSION}")
| python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/process_replay/process_replay.py | test/external/process_replay/process_replay.py | #!/usr/bin/env python3
# compare kernels created by HEAD against master
import os, multiprocessing, logging, pickle, sqlite3, difflib, warnings, itertools, functools, base64, codecs
from dataclasses import replace
from typing import Callable, Any
ASSERT_DIFF = int((flag:="[pr]") in os.getenv("COMMIT_MESSAGE", flag) or... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_resnet/lars_optimizer.py | test/external/mlperf_resnet/lars_optimizer.py | # https://github.com/mlcommons/training/blob/e3769c8dcf88cd21e1001dd2f894b40a1513ec5d/image_classification/tensorflow2/lars_optimizer.py
# changes: don't call lr_t if it's not a schedule
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_resnet/lars_util.py | test/external/mlperf_resnet/lars_util.py | # https://github.com/mlcommons/training/blob/e237206991d10449d9675d95606459a3cb6c21ad/image_classification/tensorflow2/lars_util.py
# changes: commented out logging
# changes: convert_to_tensor_v2 -> convert_to_tensor
# changes: extend from tf.python.keras.optimizer_v2.learning_rate_schedule.LearningRateScheduler
# Co... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_retinanet/presets.py | test/external/mlperf_retinanet/presets.py | # Copied from https://github.com/mlcommons/training/blob/637c82f9e699cd6caf108f92efb2c1d446b630e0/single_stage_detector/ssd/presets.py
from test.external.mlperf_retinanet import transforms as T
class DetectionPresetTrain:
def __init__(self, data_augmentation, hflip_prob=0.5, mean=(123., 117., 104.)):
if d... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_retinanet/coco_utils.py | test/external/mlperf_retinanet/coco_utils.py | # Copied from https://github.com/mlcommons/training/blob/637c82f9e699cd6caf108f92efb2c1d446b630e0/single_stage_detector/ssd/coco_utils.py
import os
import torch
import torchvision
from test.external.mlperf_retinanet import transforms as T
class ConvertCocoPolysToMask(object):
def __init__(self, filter_iscrowd=Tr... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_retinanet/focal_loss.py | test/external/mlperf_retinanet/focal_loss.py | # Copied from https://github.com/mlcommons/training/blob/cdd928d4596c142c15a7d86b2eeadbac718c8da2/single_stage_detector/ssd/model/focal_loss.py
import torch
import torch.nn.functional as F
def sigmoid_focal_loss(
inputs: torch.Tensor,
targets: torch.Tensor,
alpha: float = 0.25,
gamma: float = 2,
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_retinanet/openimages.py | test/external/mlperf_retinanet/openimages.py | from test.external.mlperf_retinanet.model.boxes import box_iou
from test.external.mlperf_retinanet.model.utils import Matcher
import torch
# This applies the filtering in https://github.com/mlcommons/training/blob/cdd928d4596c142c15a7d86b2eeadbac718c8da2/single_stage_detector/ssd/model/retinanet.py#L117
# and https:/... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_retinanet/transforms.py | test/external/mlperf_retinanet/transforms.py | # Copied from https://github.com/mlcommons/training/blob/637c82f9e699cd6caf108f92efb2c1d446b630e0/single_stage_detector/ssd/transforms.py
import torch
import torchvision
from torch import nn, Tensor
from torchvision.transforms import functional as F
from torchvision.transforms import transforms as T
from typing impor... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_retinanet/model/transform.py | test/external/mlperf_retinanet/model/transform.py | # Copied from https://github.com/mlcommons/training/blob/637c82f9e699cd6caf108f92efb2c1d446b630e0/single_stage_detector/ssd/model/transform.py
import torch
from torch import nn, Tensor
from typing import List, Tuple, Dict, Optional
from test.external.mlperf_retinanet.model.image_list import ImageList
@torch.jit.unu... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_retinanet/model/utils.py | test/external/mlperf_retinanet/model/utils.py | # Copied from https://github.com/mlcommons/training/blob/637c82f9e699cd6caf108f92efb2c1d446b630e0/single_stage_detector/ssd/model/utils.py
import torch
class Matcher(object):
"""
This class assigns to each predicted "element" (e.g., a box) a ground-truth
element. Each predicted element will have exactly z... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_retinanet/model/boxes.py | test/external/mlperf_retinanet/model/boxes.py | # Copied from https://github.com/mlcommons/training/blob/637c82f9e699cd6caf108f92efb2c1d446b630e0/single_stage_detector/ssd/model/boxes.py
import torch
from torch import Tensor
from typing import Tuple
def _upcast(t: Tensor) -> Tensor:
# Protects from numerical overflows in multiplications by upcasting to the equ... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_retinanet/model/image_list.py | test/external/mlperf_retinanet/model/image_list.py | # Copied from https://github.com/mlcommons/training/blob/637c82f9e699cd6caf108f92efb2c1d446b630e0/single_stage_detector/ssd/model/image_list.py
import torch
from torch import Tensor
from typing import List, Tuple
class ImageList(object):
"""
Structure that holds a list of images (of possibly
varying size... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/sglang_llama/external_llama_eval.py | test/external/sglang_llama/external_llama_eval.py | from lm_eval import simple_evaluate
from lm_eval.api.instance import Instance
from lm_eval.api.model import LM
from lm_eval.tasks import TaskManager
from pathlib import Path
import json, argparse
from examples.llama3 import build_transformer, Tokenizer, MODEL_PARAMS
from tinygrad import Tensor, Device
from tinygrad.he... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_stable_diffusion/external_test_train.py | test/external/mlperf_stable_diffusion/external_test_train.py | import unittest, os
from tempfile import TemporaryDirectory
from tinygrad import Tensor
from tinygrad.helpers import getenv
from examples.mlperf.model_train import train_stable_diffusion
class TestTrain(unittest.TestCase):
def test_train_to_ckpt(self):
# train for num_steps, save checkpoint, and stop training
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_stable_diffusion/external_test_eval.py | test/external/mlperf_stable_diffusion/external_test_eval.py | import unittest, os
import numpy as np
from pathlib import Path
from tempfile import TemporaryDirectory
from tinygrad import Device, Tensor
from tinygrad.helpers import getenv, Context
from tinygrad.nn.state import safe_save, torch_load, get_parameters
from examples.mlperf.model_eval import eval_stable_diffusion, vae_d... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/external/mlperf_stable_diffusion/external_test_models.py | test/external/mlperf_stable_diffusion/external_test_models.py | import unittest
import numpy as np
from pathlib import Path
from tinygrad import Tensor, dtypes, Device
from tinygrad.helpers import getenv
from tinygrad.nn.state import get_parameters
from extra.models import clip
from examples.mlperf.initializers import gelu_erf, init_stable_diffusion, attn_f32_softmax
from typing im... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/gpu.py | test/mockgpu/gpu.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()
| python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/driver.py | test/mockgpu/driver.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(... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/helpers.py | test/mockgpu/helpers.py | import ctypes, ctypes.util
from tinygrad.helpers import getenv
def _try_dlopen_gpuocelot():
GPUOCELOT_PATHS = [ctypes.util.find_library("gpuocelot")] if ctypes.util.find_library("gpuocelot") is not None else []
GPUOCELOT_PATHS += ["libgpuocelot.so", "/usr/local/lib/libgpuocelot.so",
"libgpuoc... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/usb.py | test/mockgpu/usb.py | 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, ignore_cache=False):
self.mem[address:address+len(data)] = data
def pcie_mem_req(self, address, value=None, size=1):
if value is No... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/mockgpu.py | test/mockgpu/mockgpu.py | import ctypes, ctypes.util, time, os, builtins, fcntl
from tinygrad.runtime.support.hcq import FileIOInterface
from test.mockgpu.nv.nvdriver import NVDriver
from test.mockgpu.amd.amddriver import AMDDriver
start = time.perf_counter()
# *** ioctl lib ***
libc = ctypes.CDLL(ctypes.util.find_library("c"))
libc.mmap.argty... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/amd/amdgpu.py | test/mockgpu/amd/amdgpu.py | import ctypes, time
from test.mockgpu.gpu import VirtGPU
from test.mockgpu.helpers import _try_dlopen_remu
from tinygrad.helpers import getbits, to_mv, init_c_struct_t
import tinygrad.runtime.autogen.amd_gpu as amd_gpu, tinygrad.runtime.autogen.am.pm4_nv as pm4
SDMA_MAX_COPY_SIZE = 0x400000
regCOMPUTE_PGM_LO = 0x1bac... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/amd/amddriver.py | test/mockgpu/amd/amddriver.py | import pathlib, re, ctypes, mmap, collections, functools, copy, os
import tinygrad.runtime.autogen.kfd as kfd
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.amd.amdgpu import... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/nv/nvgpu.py | test/mockgpu/nv/nvgpu.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 _try_dlopen_gpuocelot
from tinygrad.helpers import to_mv, init_c_struct_t
def make_qmd_struct_type():
fields = []
bits = [(name,dt) for name,dt... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/nv/nvdriver.py | test/mockgpu/nv/nvdriver.py | import ctypes, mmap, collections, functools, os
from tinygrad.runtime.autogen import nv_570 as nv_gpu
from typing import Any
from tinygrad.helpers import to_mv
from test.mockgpu.driver import VirtDriver, VirtFileDesc, VirtFile
from test.mockgpu.nv.nvgpu import NVGPU
MAP_FIXED = 0x10
libc = ctypes.CDLL(ctypes.util.find... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/mockgpu/cuda/cuda.py | test/mockgpu/cuda/cuda.py | from __future__ import annotations
from typing import Any
import ctypes, time
from tinygrad.runtime.autogen import cuda as orig_cuda
from test.mockgpu.helpers import _try_dlopen_gpuocelot
from tinygrad.helpers import mv_address
for attr in dir(orig_cuda):
if not attr.startswith('__'):
globals()[attr] = getattr(o... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_dtype_spec.py | test/unit/test_dtype_spec.py | import unittest, math, operator, subprocess, struct
from tinygrad.tensor import Tensor, dtypes, Device
from tinygrad.dtype import DType, DTYPES_DICT, truncate, float_to_fp16, float_to_bf16, _to_np_dtype, least_upper_dtype, least_upper_float
from tinygrad.device import is_dtype_supported
from tinygrad.helpers import get... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | true |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_symbolic_failures.py | test/unit/test_symbolic_failures.py | import unittest
from tinygrad import Variable
from tinygrad.helpers import Context
class TestFuzzFailure(unittest.TestCase):
def setUp(self):
self.context = Context(CORRECT_DIVMOD_FOLDING=1)
self.context.__enter__()
def tearDown(self):
self.context.__exit__(None, None, None)
def test_fuzz_failure1... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_tar.py | test/unit/test_tar.py | import unittest, tarfile, io, os, pathlib, tempfile
import numpy as np
from tinygrad import Tensor
from tinygrad.nn.state import tar_extract
class TestTarExtractFile(unittest.TestCase):
def setUp(self):
self.test_dir = tempfile.mkdtemp()
self.test_files = {
'file1.txt': b'Hello, World!',
'file2.b... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_rewrite_map.py | test/unit/test_rewrite_map.py | import unittest
from tinygrad import dtypes
from tinygrad.uop.ops import UOp, graph_rewrite_map, _substitute
from tinygrad.uop.symbolic import symbolic
class TestRewriteMap(unittest.TestCase):
def test_substitute(self):
a = UOp.variable('a', 0, 10)
b = UOp.variable('b', 0, 10)
c = UOp.variable('c', 0, 10... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_viz.py | test/unit/test_viz.py | import unittest, decimal, json, struct
from dataclasses import dataclass
from typing import Generator
from tinygrad.uop.ops import UOp, UPat, Ops, PatternMatcher, TrackedPatternMatcher, graph_rewrite, track_rewrites, TRACK_MATCH_STATS, profile_matches
from tinygrad.uop.symbolic import sym
from tinygrad.dtype import dt... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_tensor_uop_representation.py | test/unit/test_tensor_uop_representation.py | import unittest
from tinygrad import Tensor
from tinygrad.uop.ops import UPat, Ops, UOp
# NOTE: unlike before base for a realized tensor is always a BUFFER
realized_pattern = UPat(Ops.BUFFER)
def is_pattern_uop(u:UOp, pat:UPat): assert pat.match(u, {}), f"{u}\nis not\n{pat}"
def is_pattern(ten:Tensor, pat:UPat): is_pa... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_tqdm.py | test/unit/test_tqdm.py | import time, random, unittest, itertools
from unittest.mock import patch
from io import StringIO
from collections import namedtuple
from tqdm import tqdm
from tinygrad.helpers import tqdm as tinytqdm, trange
import numpy as np
def _get_iter_per_second(raw:str) -> float:
# raw might have unit scale
if raw.endswith(... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_schedule_cache.py | test/unit/test_schedule_cache.py | import unittest
from tinygrad import Tensor, Variable
from tinygrad.engine.schedule import schedule_cache
class TestScheduleCache(unittest.TestCase):
def test_bound_variable_reuses_cache(self):
schedule_cache.clear()
v = Variable('v', 1, 100)
x = Tensor.ones(10).contiguous().realize()
# first run wi... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_pattern_matcher.py | test/unit/test_pattern_matcher.py | import unittest, itertools
from tinygrad.dtype import dtypes
from tinygrad.uop.ops import Ops, UOp, GroupOp # noqa: F401
from tinygrad.uop.ops import PatternMatcher, UPat
class TestPatternMatcher(unittest.TestCase):
def test_simple_match(self):
matcher = PatternMatcher([(UPat(Ops.CONST, name="x", dtype=dtypes.fl... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_masked_tensor.py | test/unit/test_masked_tensor.py | import unittest
from tinygrad.tensor import Tensor
class TestMaskedTensor(unittest.TestCase):
def test_mul_masked(self):
a = Tensor([1,1,1,1,1])
b = Tensor([1,1]).pad(((0,3),))
c = a*b
assert c.shape == a.shape
ret = c.data()
assert ret.tolist() == [1.0, 1.0, 0.0, 0.0, 0.0]
def test_mul_bo... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_llm_moe.py | test/unit/test_llm_moe.py | import unittest
import numpy as np
from tinygrad import Tensor
class TestMoEFeedForward(unittest.TestCase):
def test_moe_feed_forward(self):
from tinygrad.apps.llm import TransformerBlock
dim, hidden, n_heads = 8, 16, 2
num_experts, k = 4, 2
block = TransformerBlock(dim, hidden, n_heads, n_heads, no... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_allreduce.py | test/unit/test_allreduce.py | import unittest
from tinygrad import Tensor
from tinygrad.helpers import Context
from tinygrad.uop.ops import Ops
class TestRingAllReduce(unittest.TestCase):
def test_schedule_ring(self):
with Context(RING=2):
N = 4
ds = tuple(f"CPU:{i}" for i in range(N))
t = Tensor.empty(N, N*100).shard(ds, a... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_linearizer_rewrite.py | test/unit/test_linearizer_rewrite.py | import unittest
from tinygrad import Tensor, Context, Device
from tinygrad.engine.realize import get_program
from tinygrad.codegen.opt import Opt, OptOps
from tinygrad.uop.ops import KernelInfo
class TestLinearizerRewrite(unittest.TestCase):
def test_reduction(self):
t = Tensor.ones((64,64), device="NULL").conti... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_indexing.py | test/unit/test_indexing.py | # test cases are modified from pytorch test_indexing.py https://github.com/pytorch/pytorch/blob/597d3fb86a2f3b8d6d8ee067e769624dcca31cdb/test/test_indexing.py
import unittest, random, warnings
import numpy as np
from tinygrad import Tensor, dtypes, Device, TinyJit
from tinygrad.device import is_dtype_supported
from t... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | true |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_llm_tokenizer.py | test/unit/test_llm_tokenizer.py | import unittest, base64, functools, sys
from tinygrad.apps.llm import SimpleTokenizer
from tinygrad.helpers import fetch
@unittest.skipIf(sys.platform == 'win32', "fetch race condition on Windows")
class TestLLMTokenizer(unittest.TestCase):
@functools.cached_property
def llama_tok(self):
# from https://github.... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_device.py | test/unit/test_device.py | #!/usr/bin/env python
import unittest, os, subprocess
from tinygrad import Tensor
from tinygrad.device import Device, Compiler, enumerate_devices_str
from tinygrad.helpers import diskcache_get, diskcache_put, getenv, Context, WIN, CI
class TestDevice(unittest.TestCase):
def test_canonicalize(self):
self.assertEq... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_linalg.py | test/unit/test_linalg.py | import unittest, functools
from tinygrad import Tensor, Context
import numpy as np
def orthogonality_helper(A:Tensor, tolerance=1e-5):
b_shape,m = A.shape[0:-2],A.shape[-2] #outer dimension should be the dim along orthogonality
A_identity = (Tensor.eye(m).reshape((1,)*len(b_shape)+(m,m)).expand(b_shape+(m,m)))
... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_uop_vmin_vmax.py | test/unit/test_uop_vmin_vmax.py | import unittest, math
from tinygrad.uop.ops import UOp, Ops
from tinygrad.dtype import dtypes, Invalid
class TestVminVmaxProperties(unittest.TestCase):
def test_vmin_vmax_constant(self):
# vmin and vmax for a constant
uop = UOp.const(dtypes.int32, 42)
self.assertEqual(uop.vmin, 42)
self.assertEqual(u... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_transcendental_helpers.py | test/unit/test_transcendental_helpers.py | import unittest, math
import numpy as np
from tinygrad import dtypes
from tinygrad.uop.ops import UOp, Ops
from tinygrad.uop.decompositions import TRANSCENDENTAL_DTYPES, payne_hanek_reduction, cody_waite_reduction
from tinygrad.uop.decompositions import frexp, rintk, xpow, xexp2, xlog2, trig_poly, pow2if
from test.help... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_uop_repr.py | test/unit/test_uop_repr.py | import unittest
from tinygrad import UOp, dtypes
class TestUOpRepr(unittest.TestCase):
def test_simple_const(self):
a = UOp.const(dtypes.int, 42)
self.assertEqual(repr(a), "UOp(Ops.CONST, dtypes.int, arg=42, src=())")
def test_different_consts(self):
a, b = UOp.const(dtypes.int, 42), UOp.const(dtypes.i... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_mnist_dataset.py | test/unit/test_mnist_dataset.py | import unittest
from tinygrad.helpers import GlobalCounters
from tinygrad.nn.datasets import mnist
class TestDataset(unittest.TestCase):
def test_dataset_is_realized(self):
X_train, _, _, _ = mnist()
X_train[0].contiguous().realize()
start = GlobalCounters.kernel_count
X_train[0].contiguous().realize... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_elf.py | test/unit/test_elf.py | import unittest, subprocess, platform
from tinygrad.runtime.support.compiler_cpu import ClangJITCompiler
from tinygrad.runtime.support.elf import elf_loader
class TestElfLoader(unittest.TestCase):
def test_load_clang_jit_strtab(self):
src = '''
int something; // will be a load from a relocation (needed for... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_uop_resolve.py | test/unit/test_uop_resolve.py | import unittest
from tinygrad.dtype import dtypes
from tinygrad.uop.ops import UOp, resolve
class TestUOpResolve(unittest.TestCase):
def test_simple_int(self):
u = UOp.const(dtypes.int, 4)
self.assertEqual(int(u), 4)
def test_int_add(self):
u = UOp.const(dtypes.int, 4) + 7
self.assertEqual(int(u),... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_graph_rewrite.py | test/unit/test_graph_rewrite.py | import unittest, math
from tinygrad import dtypes
from tinygrad.helpers import all_same, Context
from tinygrad.uop.ops import GroupOp, UOp, Ops, exec_alu, PatternMatcher, TrackedPatternMatcher, UPat
from tinygrad.codegen import full_rewrite_to_sink
from hypothesis import given, strategies as strat
# Helper function to... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_gguf.py | test/unit/test_gguf.py | import os, unittest, ctypes
from tinygrad import dtypes, Tensor, fetch, Device
import numpy as np
from tinygrad.nn.state import ggml_data_to_tensor, gguf_load
from tinygrad.device import is_dtype_supported
try:
import ggml
except ModuleNotFoundError:
raise unittest.SkipTest("ggml not installed, skipping gguf test")... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
tinygrad/tinygrad | https://github.com/tinygrad/tinygrad/blob/bf356ae99621f42ad218b902ae7afdcb1f4a2f03/test/unit/test_gradient.py | test/unit/test_gradient.py | from typing import Callable
import unittest, math
import torch
import numpy as np
from tinygrad import Tensor
from tinygrad.dtype import dtypes
from tinygrad.uop.ops import UOp
from tinygrad.gradient import compute_gradient
class TestGradient(unittest.TestCase):
def _cmp_nan_okay(self, x, y):
if math.isnan(x) an... | python | MIT | bf356ae99621f42ad218b902ae7afdcb1f4a2f03 | 2026-01-04T14:43:17.197982Z | false |
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