repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
tinygrad | test/external/external_test_hcq.py | .py | import unittest, ctypes, struct, time, array
from tinygrad import Device, Tensor, dtypes
from tinygrad.helpers import to_mv, DEV
from tinygrad.device import Buffer, BufferSpec
from tinygrad.engine.realize import get_runtime
from tinygrad.codegen import to_program
def _time_queue(q, d):
st = time.perf_counter()
q.s... | 329 | 16,633 |
tinygrad | test/external/external_test_amd.py | .py | import unittest
from tinygrad import Device, Tensor
from tinygrad.schedule import create_schedule
from tinygrad.runtime.ops_amd import AMDDevice
class TestAMD(unittest.TestCase):
@classmethod
def setUpClass(self):
TestAMD.d0: AMDDevice = Device["AMD"]
TestAMD.a = Tensor([0.,1.], device="AMD").realize()
... | 29 | 1,207 |
tinygrad | test/external/external_fuzz_tlsf.py | .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... | 82 | 2,748 |
tinygrad | test/external/external_model_benchmark.py | .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, Context,... | 140 | 6,848 |
tinygrad | test/external/fuzz_symbolic.py | .py | # NOTE: z3-solver 4.15.4 segfaults (exit code 139) when creating many z3.Context() with complex expressions.
# Reproduces consistently with seed=74 around iteration 1767. Versions <=4.15.3 are fine.
# Workaround: reuse a single z3.Context, or pin z3-solver<4.15.4 (see pyproject.toml).
# To repro: pip install z3-solver=... | 93 | 4,890 |
tinygrad | test/external/external_gpu_fail_osx.py | .py | # ugh, OS X OpenCL doesn't support half
from tinygrad.runtime.ops_cl import CLDevice, CLProgram, CLCompiler
src = """#pragma OPENCL EXTENSION cl_khr_fp16 : enable
__kernel void max_half(__global half* data0, const __global half* data1) {
int gidx0 = get_group_id(0);
data0[gidx0] = max(data1[gidx0], (half)0.0);
}""... | 16 | 535 |
tinygrad | test/external/external_test_process_count.py | .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)... | 58 | 1,696 |
tinygrad | test/external/external_test_speed_llama.py | .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... | 59 | 2,376 |
tinygrad | test/external/external_fuzz_ampt.py | .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
... | 110 | 4,160 |
tinygrad | test/external/external_test_llama3_layer.py | .py | #!/usr/bin/env python3
from tinygrad import Tensor, TinyJit, nn, dtypes
from tinygrad.helpers import getenv
from extra.models.llama import TransformerBlock, precompute_freqs_cis
BS = getenv("BS", 1)
SEQLEN = getenv("SEQLEN", 128)
# DEFAULT_FLOAT=bfloat16 SEQLEN=8192 ASM_GEMM=1 HK_FLASH_ATTENTION=1 DEV=NULL:HIP:gfx950... | 25 | 975 |
tinygrad | test/external/external_benchmark_llama_schedule.py | .py | from tinygrad import nn, Tensor, dtypes
from tinygrad.helpers import DEV, Timing, Context
from extra.models.llama import Transformer
from examples.llama3 import MODEL_PARAMS
if __name__ == "__main__":
DEV.value = "NULL"
#model_size = "8B"
model_size = "405B"
with Context(TRAINING=1), Timing("total "):
wi... | 35 | 1,181 |
tinygrad | test/external/external_uop_gc.py | .py | import gc
from tinygrad import Tensor, UOp, Device, nn
from tinygrad.schedule import schedule_cache
from tinygrad.codegen import to_program, to_program_cache
from tinygrad.schedule.indexing import apply_movement_op, _apply_reshape
from tinygrad.uop.divandmod import fold_divmod_general
from test.test_tiny import TestTin... | 86 | 2,937 |
tinygrad | test/external/external_benchmark_all2all.py | .py | from tinygrad import Device, Tensor, TinyJit, dtypes
from tinygrad.helpers import Timing, Context
GPUS, DEPTH, SZ = 8, 4, 128 * 2**20
WARMUP, ITERS = 3, 5
devs = tuple(f"{Device.DEFAULT}:{i}" for i in range(GPUS))
bufs = tuple(Tensor.empty(SZ, dtype=dtypes.uint8, device=dev).contiguous().realize() for _ in range(DEPTH... | 18 | 776 |
tinygrad | test/external/external_benchmark_keccak.py | .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... | 21 | 727 |
tinygrad | test/external/external_osx_profiling.py | .py | from tinygrad.runtime.ops_cl import CLProgram, CL, CLBuffer
from tinygrad import dtypes
import time
N = 1000000
a = CLBuffer(N, dtypes.float32)
b = CLBuffer(N, dtypes.float32)
c = CLBuffer(N, dtypes.float32)
prg = CLProgram("test", """__kernel void test(__global float *a, __global float *b, __global float *c) {
int... | 42 | 1,191 |
tinygrad | test/external/external_test_onnx_backend.py | .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.nn.onnx import OnnxRunner
# pip3 install tabulate
pytest_plugins = 'onnx.backend... | 211 | 9,500 |
tinygrad | test/external/external_benchmark_schedule.py | .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, spe... | 46 | 1,762 |
tinygrad | test/external/external_fuzz_qcom_cpu_cache.py | .py | #!/usr/bin/env python3
from tinygrad.tensor import Tensor
import numpy as np
while True:
arr = np.ones(1000000, dtype=np.uint8)
print(f"numpy: {(arr + 1)[:10]}")
ptr = arr.ctypes.data
tensor = Tensor.from_blob(ptr, arr.shape, dtype='uint8', device='QCOM').realize() + 1
print(f"from_blob: {tensor.numpy()[:10... | 12 | 325 |
tinygrad | test/external/external_test_tlsf.py | .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... | 79 | 2,222 |
tinygrad | test/external/mlperf_retinanet/presets.py | .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... | 24 | 847 |
tinygrad | test/external/mlperf_retinanet/transforms.py | .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... | 77 | 2,469 |
tinygrad | test/external/mlperf_retinanet/openimages.py | .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:/... | 26 | 1,506 |
tinygrad | test/external/mlperf_retinanet/focal_loss.py | .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,
... | 51 | 1,890 |
tinygrad | test/external/mlperf_retinanet/coco_utils.py | .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... | 89 | 3,002 |
tinygrad | test/external/mlperf_retinanet/model/transform.py | .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... | 163 | 6,787 |
tinygrad | test/external/mlperf_retinanet/model/utils.py | .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... | 123 | 5,465 |
tinygrad | test/external/mlperf_retinanet/model/image_list.py | .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... | 27 | 886 |
tinygrad | test/external/mlperf_retinanet/model/boxes.py | .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... | 65 | 2,210 |
tinygrad | test/external/sglang_llama/external_llama_eval.py | .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... | 101 | 4,885 |
tinygrad | test/external/mlperf_bert/external_test_checkpoint_loading.py | .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... | 54 | 2,675 |
tinygrad | test/external/mlperf_bert/external_benchmark_bert.py | .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_linear
from extra.models import bert
bs = getenv("BS", 16)
seq_len = ... | 103 | 4,361 |
tinygrad | test/external/mlperf_bert/preprocessing/tokenization.py | .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... | 416 | 12,706 |
tinygrad | test/external/mlperf_bert/preprocessing/pick_eval_samples.py | .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... | 128 | 4,026 |
tinygrad | test/external/mlperf_bert/preprocessing/create_pretraining_data.py | .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... | 436 | 15,017 |
tinygrad | test/external/mlperf_bert/preprocessing/external_test_preprocessing_part.py | .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... | 80 | 4,841 |
tinygrad | test/external/mlperf_resnet/lars_util.py | .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... | 180 | 6,557 |
tinygrad | test/external/mlperf_resnet/lars_optimizer.py | .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");
# ... | 220 | 8,842 |
tinygrad | test/external/process_replay/reset.py | .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}")
| 5 | 159 |
tinygrad | test/external/process_replay/process_replay.py | .py | #!/usr/bin/env python3
# compare kernels created by HEAD against master
import os, multiprocessing, logging, pickle, sqlite3, difflib, warnings, functools, base64, codecs
from dataclasses import replace
from typing import Callable, Any
ASSERT_DIFF = int((flag:="[PR]") in os.getenv("COMMIT_MESSAGE", flag) or flag in os... | 129 | 5,386 |
tinygrad | test/external/mlperf_unet3d/kits19.py | .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... | 165 | 6,133 |
tinygrad | test/external/mlperf_unet3d/dice.py | .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... | 95 | 3,438 |
tinygrad | test/external/mlperf_stable_diffusion/external_test_eval.py | .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... | 58 | 3,250 |
tinygrad | test/external/mlperf_stable_diffusion/external_test_train.py | .py | import unittest, os
from tempfile import TemporaryDirectory
from tinygrad import Context
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
... | 24 | 1,079 |
tinygrad | test/external/mlperf_stable_diffusion/external_test_models.py | .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... | 114 | 6,395 |
tinygrad | test/opt/test_kernel_opts.py | .py | import unittest
from tinygrad import Device, Tensor, dtypes
from tinygrad.codegen.opt import Opt, OptOps, KernelOptError
# TODO: write a clean version of this
from test.backend.test_linearizer import helper_linearizer_opt
class TestKernelOpts(unittest.TestCase):
@unittest.skipUnless(Device[Device.DEFAULT].renderer.... | 364 | 18,684 |
tinygrad | test/opt/test_tensor_cores.py | .py | import numpy as np
import unittest
from tinygrad import Device, Tensor, dtypes
from tinygrad.tensor import _to_np_dtype
from tinygrad.uop.ops import Ops, UOp, buffers
from tinygrad.dtype import DType
from tinygrad.device import Buffer
from tinygrad.helpers import DEV, Context
from test.helpers import slow, replace_opt... | 230 | 13,911 |
tinygrad | test/opt/test_gen_float4.py | .py | import unittest
from tinygrad import Device, Tensor, Variable, dtypes
from tinygrad.uop.ops import UOp, Ops
from tinygrad.codegen import to_program
from tinygrad.codegen.opt import Opt, OptOps
from test.helpers import replace_opts
@unittest.skipUnless(Device[Device.DEFAULT].renderer.supports_float4, "need backends th... | 145 | 6,018 |
tinygrad | test/backend/test_linearizer_dumb.py | .py | # ruff: noqa: E501
# tests where the Linearizer is doing something dumb
# like test_linearizer_failures, but they don't have to fail
import unittest
from tinygrad import Device, dtypes
from tinygrad.uop.ops import UOp, Ops, AxisType, KernelInfo
from tinygrad.codegen.opt.search import Opt, OptOps
from tinygrad.codegen ... | 32 | 1,805 |
tinygrad | test/backend/test_llama_kernels.py | .py | import unittest, functools
from tinygrad import Tensor, Device, dtypes, Context, GlobalCounters
from tinygrad.helpers import getenv
from examples.mlperf.models.flat_llama import FP8_DTYPE, quantize_fp8
from extra.llama_kernels.fused_ce import fused_ce_loss
from extra.llama_kernels import local_abs_max
from extra.llama_... | 193 | 9,503 |
tinygrad | test/backend/test_custom_kernel.py | .py | import unittest
from tinygrad import Tensor, UOp, GlobalCounters, Context, Device
import numpy as np
from tinygrad.dtype import AddrSpace, dtypes, Invalid
from tinygrad.uop.ops import KernelInfo, AxisType, Ops
from tinygrad.renderer.ptx import PTXRenderer
from test.helpers import assert_kernel_count
# **** kernels ***... | 697 | 31,058 |
tinygrad | test/backend/test_encodings.py | .py | import unittest
from tinygrad import Device
from tinygrad.uop.ops import UOp, Ops
from tinygrad.dtype import dtypes
from tinygrad.renderer.isa.x86 import X86Ops, X86Renderer, RBP, RDI, RSP, RSI, RAX, RDX, XMM, GPR, imm, def_reg
def ins(op, dt, src, tag=None): return UOp(Ops.INS, arg=op, dtype=dt, src=src, tag=tag)
@u... | 151 | 8,157 |
tinygrad | test/backend/test_stunning.py | .py | import unittest
from tinygrad import nn, Tensor, Variable, Context, Device
from tinygrad.helpers import trange
class Model:
def __init__(self): self.layer = nn.Linear(28*28, 10)
def __call__(self, x:Tensor) -> Tensor: return self.layer(x.flatten(1))
class TestStunning(unittest.TestCase):
def test_indexing_varia... | 60 | 2,083 |
tinygrad | test/backend/test_interop.py | .py | #!/usr/bin/env python
import unittest, os
import torch
import numpy as np
from tinygrad.helpers import DEV
from tinygrad.tensor import Tensor
from tinygrad.device import Device
from tinygrad.dtype import _from_torch_dtype, _to_torch_dtype
MOCKGPU = DEV.interface.startswith("MOCK")
@unittest.skipIf(Device.DEFAULT not... | 53 | 1,948 |
tinygrad | test/backend/test_zero_copy.py | .py | import unittest
from tinygrad import Tensor, Device
import time
def time_tensor_numpy(out:Tensor):
times = []
for _ in range(5):
st = time.perf_counter()
out.uop.base.realized.as_memoryview(allow_zero_copy=True)
et = time.perf_counter() - st
times.append(et)
return min(times)
N = 4096
class Test... | 28 | 892 |
tinygrad | test/backend/test_dtype.py | .py | import contextlib, unittest, math
import numpy as np
import torch
from typing import Any, List
from tinygrad.helpers import getenv, DEBUG, EMULATED_DTYPES, DEV
from tinygrad.dtype import DType, DTYPES_DICT, least_upper_dtype, fp8_to_float, float_to_fp8, _to_np_dtype, _to_torch_dtype, truncate
from tinygrad.renderer.ptx... | 439 | 21,296 |
tinygrad | test/backend/test_uops.py | .py | from typing import Optional, Any
import unittest, math
import numpy as np
from tinygrad.tensor import Tensor, _to_np_dtype
from tinygrad.helpers import Context
from tinygrad.dtype import dtypes, DType, AddrSpace, ConstFloat # noqa: F401
from tinygrad.device import Buffer, Device
from tinygrad.uop.ops import Ops, UOp, ... | 346 | 17,190 |
tinygrad | test/backend/test_graph.py | .py | import numpy as np
import functools, unittest
from tinygrad.device import Device, Buffer
from tinygrad.tensor import Tensor
from tinygrad.helpers import Context
from tinygrad.dtype import dtypes
from tinygrad.engine.jit import MultiGraphRunner
from tinygrad.engine.realize import run_linear, compile_linear
from tinygra... | 320 | 12,140 |
tinygrad | test/backend/test_asm_gemm.py | .py | import unittest
from tinygrad import Tensor, Device, dtypes, Context
from tinygrad.helpers import getenv, system, DEV
from extra.gemm.cdna_asm_gemm import asm_gemm, hk_bf16_atb_gemm
from test.helpers import needs_second_gpu
from examples.mlperf.models.flat_llama import FP8_DTYPE, quantize_fp8, FP8_MAX
# On non CDNA4 i... | 427 | 22,871 |
tinygrad | test/backend/test_tensor.py | .py | import numpy as np
import torch
import unittest, copy, mmap, random, math, array
from tinygrad import Tensor, Device, dtypes, nn, Context
from tinygrad.helpers import getenv, temp, mv_address
from extra.gradcheck import numerical_jacobian, jacobian, gradcheck
from hypothesis import given, settings, strategies as strat
... | 788 | 31,230 |
tinygrad | test/backend/test_const_folding.py | .py | import unittest, math
from tinygrad import Tensor, Device, dtypes
from tinygrad.dtype import DTYPES_DICT
from tinygrad.uop.ops import Ops, UOp
from tinygrad.codegen.decomp.op import threefry2x32
import numpy as np
from test.helpers import not_support_multi_device
def _check_ast_count(desired_count:int, t:Tensor):
# ... | 211 | 9,546 |
tinygrad | test/backend/test_randomness.py | .py | import unittest, math
from tinygrad import dtypes, Tensor, Device
from tinygrad.helpers import getenv, DEV, Context
from tinygrad.codegen import to_program
from tinygrad.uop.ops import Ops
from tinygrad.renderer.ptx import PTXRenderer
from tinygrad.renderer.nir import NIRRenderer
from tinygrad.renderer.isa.x86 import... | 261 | 11,154 |
tinygrad | test/backend/test_ops.py | .py | import time, math, unittest, functools, platform, warnings, sys
import numpy as np
from typing import List, Callable
import torch
from tinygrad.helpers import getenv, DEBUG, DEV, IMAGE, Context
from tinygrad import Tensor, Device, dtypes
from tinygrad.tensor import _to_np_dtype
from tinygrad.renderer.nir import NIRRend... | 3,434 | 202,059 |
tinygrad | test/backend/test_transcendental.py | .py | import unittest
from tinygrad import Tensor, Device, dtypes
from tinygrad.tensor import _to_np_dtype
from tinygrad.helpers import Context, getenv, DEV, OSX
from test.helpers import check_schedule
from test.backend.test_dtype_alu import ht, dtypes_float
import numpy as np
import math
from hypothesis import given, settin... | 206 | 9,990 |
tinygrad | test/backend/test_call.py | .py | import unittest, ctypes
from tinygrad import Tensor, UOp
from tinygrad.device import Device
from tinygrad.dtype import dtypes
from tinygrad.renderer.cstyle import CStyleLanguage
from tinygrad.uop.ops import KernelInfo
def call_out_kernel(F:UOp, C:UOp) -> UOp:
call = F[0].load().call(UOp.const(3).cast(dtypes.int), C[... | 40 | 1,665 |
tinygrad | test/backend/test_schedule.py | .py | # this will be the new test_ops for the next level
# schedule confirms the right things are capable of fusing
# NOTE: this has overlap with external_test_opt.py
import unittest, time
import numpy as np
from tinygrad import nn, dtypes, Device, Tensor, Variable
from tinygrad.uop.ops import Ops, UPat
from tinygrad.helpe... | 485 | 19,486 |
tinygrad | test/backend/test_profiler.py | .py | import unittest, struct, contextlib, statistics, gc
from tinygrad import Device, Tensor, dtypes, TinyJit
from tinygrad.helpers import DEV, Context, ProfileRangeEvent, cpu_profile, cpu_events, ProfilePointEvent, dedup
from tinygrad.device import Buffer, BufferSpec, Compiled, ProfileDeviceEvent, ProfileGraphEvent
from ti... | 228 | 11,285 |
tinygrad | test/backend/test_edgecases.py | .py | # end to end tests of tinygrad that you think might be edge cases.
# using the documentation, write code you think should work.
# you can compare the outputs to torch or numpy, or just tinygrad assert/raise while doing things that should be valid
# i'm not interested in tests that currently pass, i'm only interested i... | 247 | 10,673 |
tinygrad | test/backend/test_multitensor.py | .py | import unittest, random
from tinygrad import Tensor, Device, nn, GlobalCounters, TinyJit, dtypes, Variable
from tinygrad.uop.ops import Ops, UOp, AxisType, graph_rewrite
from tinygrad.helpers import getenv, prod, Context
from tinygrad.nn.state import get_parameters
from tinygrad.engine.realize import run_linear, compil... | 537 | 21,753 |
tinygrad | test/backend/test_subbuffer.py | .py | import unittest
from tinygrad import Device, dtypes, Tensor
from tinygrad.device import Buffer
from tinygrad.helpers import Context, DEV
from test.helpers import needs_second_gpu
@unittest.skipIf(Device.DEFAULT in {"WEBGPU", "CL"}, "subbuffer not supported")
class TestSubBuffer(unittest.TestCase):
def setUp(self):
... | 184 | 7,028 |
tinygrad | test/backend/test_to_numpy.py | .py | from tinygrad.tensor import Tensor
import numpy as np
import pickle
import unittest
class TestToNumpy(unittest.TestCase):
def test_numpy_is_numpy(self):
output = Tensor.ones((1, 3, 4096)).realize().numpy()
new = np.copy(output)
print(type(new))
serialized = pickle.dumps(new)
out = pickle.loads(se... | 17 | 436 |
tinygrad | test/backend/test_quantize_onnx.py | .py | # ruff: noqa: E501
import numpy as np
import tempfile, unittest
from tinygrad import Tensor, Context, Device, dtypes, UOp
from tinygrad.uop.ops import Ops
from tinygrad.dtype import AddrSpace
from tinygrad.codegen.opt import Opt, OptOps
from tinygrad.engine.realize import run_linear
from tinygrad.codegen import to_prog... | 240 | 12,398 |
tinygrad | test/backend/test_isel.py | .py | import unittest
from typing import cast
from tinygrad import Device
from tinygrad.uop import Ops
from tinygrad.uop.ops import UOp, dtypes, graph_rewrite
from tinygrad.renderer.isa.x86 import X86Renderer, X86Ops
from tinygrad.renderer.isa import IselContext
# INDEX on a register value with a constant index extracts a s... | 56 | 2,405 |
tinygrad | test/backend/test_softmax_fusion.py | .py | import unittest
import numpy as np
from tinygrad import Tensor, GlobalCounters, Context, Device
from tinygrad.dtype import DTypeLike, dtypes
from tinygrad.engine.realize import run_linear
from tinygrad.helpers import DEBUG, get_single_element
from test.helpers import check_schedule
def single_kernel_softmax(x_in:Tenso... | 207 | 7,332 |
tinygrad | test/backend/test_tensor_variable.py | .py | import unittest
import numpy as np
from tinygrad import Device, Tensor, Variable, TinyJit, dtypes
from tinygrad.helpers import CHECK_OOB
class TestTensorVariable(unittest.TestCase):
def test_add_tvar(self):
vv = Variable("a", 0, 10).bind(1)
ret = (Tensor(vv) + 3).item()
assert ret == 4
def test_variab... | 222 | 9,187 |
tinygrad | test/backend/test_rangeify.py | .py | import unittest
from tinygrad import Tensor, nn, Device, dtypes, Variable
from tinygrad.helpers import Context, GlobalCounters, getenv, PCONTIG, DEBUG
from tinygrad.uop.ops import graph_rewrite, PatternMatcher, UPat, Ops, UOp
from tinygrad.codegen.opt import OptOps, Opt
from tinygrad.renderer.ptx import PTXRenderer
fro... | 235 | 9,521 |
tinygrad | test/backend/test_renderer_failures.py | .py | import unittest
import numpy as np
from tinygrad.device import Device, Buffer
from tinygrad.dtype import dtypes, ConstType
from tinygrad.engine.realize import run_linear
from tinygrad.codegen import to_program
from tinygrad.helpers import prod
from tinygrad.renderer.cstyle import CStyleLanguage
from tinygrad.renderer.p... | 124 | 6,565 |
tinygrad | test/backend/test_pickle.py | .py | import unittest, pickle, types, tracemalloc
import numpy as np
from tinygrad import Tensor, Device, TinyJit, Variable, dtypes
from tinygrad.helpers import GlobalCounters, ContextVar, Context, DEV
from tinygrad.uop.ops import PatternMatcher, UPat, UOp, deconstruct_function
class TestPickle(unittest.TestCase):
def tes... | 202 | 6,794 |
tinygrad | test/backend/test_dtype_alu.py | .py | import unittest, operator, math
from tinygrad import Context, Tensor, dtypes, Device
from tinygrad.dtype import DType, truncate, fp8_to_float
from tinygrad.helpers import EMULATED_DTYPES, DEV, getenv
from tinygrad.tensor import _to_np_dtype
from tinygrad.runtime.ops_python import from_storage_scalar
from tinygrad.rende... | 412 | 23,717 |
tinygrad | test/backend/test_optim.py | .py | import numpy as np
import torch
import unittest
from tinygrad import Tensor, Device, dtypes
from tinygrad.nn.optim import Adam, SGD, AdamW, Muon, LAMB
from tinygrad.helpers import Context
from test.helpers import needs_second_gpu, slow
np.random.seed(1337)
x_init = np.random.randn(1,4).astype(np.float32)
W_init = np.r... | 190 | 9,016 |
tinygrad | test/backend/test_arange.py | .py | import unittest
import numpy as np
from tinygrad import Tensor, GlobalCounters, dtypes, nn, Device, Variable
from tinygrad.helpers import Context, getenv, DEV
from tinygrad.engine.realize import run_linear, estimate_uop, compile_linear
from tinygrad.renderer.ptx import PTXRenderer
from test.helpers import needs_second_... | 270 | 12,758 |
tinygrad | test/backend/test_symbolic_ops.py | .py | import unittest
from tinygrad import Tensor, Variable, GlobalCounters, Context
from tinygrad.uop.ops import sym_infer
from tinygrad.dtype import dtypes
from examples.gpt2 import Attention
import numpy as np
class TestSymbolicOps(unittest.TestCase):
def test_negative_slice(self):
a = Tensor.rand(3, 10, 4)
for... | 368 | 14,742 |
tinygrad | test/backend/test_opt_gemm.py | .py | import numpy as np
import unittest
from tinygrad import Tensor
from tinygrad.helpers import get_single_element
from tinygrad.codegen.opt import Opt, OptOps
from tinygrad.engine.realize import run_linear
from tinygrad.uop.ops import Ops, UOp
from test.helpers import replace_opts
class TestOptGemm(unittest.TestCase):
... | 47 | 1,826 |
tinygrad | test/backend/test_symbolic_jit.py | .py | import unittest
from test.helpers import assert_jit_cache_len
from tinygrad import Variable, Tensor, TinyJit
from tinygrad.engine.jit import JitError
import numpy as np
class TestSymbolicJit(unittest.TestCase):
def test_plus1(self):
def f(a): return (a+1).realize()
jf = TinyJit(f)
a = Tensor.rand(3, 10)... | 333 | 11,780 |
tinygrad | test/backend/test_setitem.py | .py | import unittest
from tinygrad import Tensor, TinyJit, Variable, dtypes, Device
from tinygrad.helpers import Context
import numpy as np
class TestSetitem(unittest.TestCase):
def test_simple_setitem(self):
cases = (
((6,6), (slice(2,4), slice(3,5)), Tensor.ones(2,2)),
((6,6), (slice(2,4), slice(3,5)), ... | 379 | 13,688 |
tinygrad | test/backend/test_jit.py | .py | #!/usr/bin/env python
import unittest
import numpy as np
from test.helpers import assert_jit_cache_len, call_is_graph, not_support_multi_device, needs_second_gpu, KernelCountException
from test.unit.test_jit import _simple_test
from tinygrad import Tensor, Variable, TinyJit, Device, dtypes
from tinygrad.engine.jit imp... | 451 | 16,578 |
tinygrad | test/backend/test_linearizer.py | .py | import numpy as np
import unittest
from tinygrad.codegen.opt import Opt, OptOps
from tinygrad.uop.ops import UOp, Ops, GroupOp, AxisType, buffers
from tinygrad.device import Device, Buffer
from tinygrad.tensor import Tensor, _to_np_dtype
from tinygrad.engine.realize import run_linear
from tinygrad.codegen import to_pr... | 468 | 25,705 |
tinygrad | test/backend/test_nn.py | .py | #!/usr/bin/env python
import unittest
import numpy as np
import torch
from tinygrad import Tensor, Device, TinyJit, dtypes
from tinygrad.helpers import GlobalCounters, Context
from tinygrad.nn import Conv1d, ConvTranspose1d, Conv2d, ConvTranspose2d, Linear, Embedding
from tinygrad.nn import BatchNorm, LayerNorm, LayerN... | 621 | 25,317 |
tinygrad | test/backend/test_wait_loop.py | .py | import unittest, threading
from tinygrad import Tensor, UOp
from tinygrad.device import Device, Buffer, BufferSpec
from tinygrad.dtype import AddrSpace, dtypes
from tinygrad.engine.realize import run_linear
from tinygrad.uop.ops import Ops, KernelInfo
def wait_loop_kernel(C:UOp) -> UOp:
N = 10
# a RANGE with no s... | 128 | 4,381 |
tinygrad | test/models/test_rnnt.py | .py | #!/usr/bin/env python
import unittest
from tinygrad import Tensor
from extra.models.rnnt import LSTM
import numpy as np
import torch
class TestRNNT(unittest.TestCase):
def test_lstm(self):
BS, SQ, IS, HS, L = 2, 20, 40, 128, 2
# create in torch
with torch.no_grad():
torch_layer = torch.nn.LSTM(IS,... | 48 | 1,701 |
tinygrad | test/models/test_waifu2x.py | .py | #!/usr/bin/env python
import pathlib
import unittest
import numpy as np
from tinygrad.tensor import Tensor
class TestVGG7(unittest.TestCase):
def test_vgg7(self):
from examples.vgg7_helpers.waifu2x import Vgg7, image_load
# Create in tinygrad
Tensor.manual_seed(1337)
mdl = Vgg7()
mdl.load_from_p... | 25 | 715 |
tinygrad | test/models/test_efficientnet.py | .py | import ast, pathlib, unittest
import numpy as np
from PIL import Image
from tinygrad import Tensor, Context
from tinygrad.helpers import getenv
from test.helpers import slow
from extra.models.efficientnet import EfficientNet
from extra.models.vit import ViT
from extra.models.resnet import ResNet50
def _load_labels()... | 115 | 3,348 |
tinygrad | test/models/test_end2end.py | .py | import torch
from torch import nn
import unittest, sys
import numpy as np
from tinygrad.nn.state import get_parameters, get_state_dict
from tinygrad.nn import optim, Linear, Conv2d, BatchNorm2d
from tinygrad.tensor import Tensor
from tinygrad.helpers import Context
from extra.datasets import fetch_mnist
def compare_ti... | 165 | 6,252 |
tinygrad | test/models/test_bert.py | .py | #!/usr/bin/env python
import os
os.environ['USE_TF'] = '0' # prevent transformers from importing tensorflow
import unittest
from tinygrad import Tensor
import numpy as np
import torch
def get_question_samp(bsz, seq_len, vocab_size, seed):
np.random.seed(seed)
in_ids = np.random.randint(vocab_size, size=(bsz, seq_... | 59 | 2,182 |
tinygrad | test/models/test_mnist.py | .py | #!/usr/bin/env python
import unittest
import numpy as np
from tinygrad import Tensor
from test.helpers import slow
from tinygrad.nn.state import get_parameters
from tinygrad.nn import optim, BatchNorm2d
from extra.training import train, evaluate
from extra.datasets import fetch_mnist
# load the mnist dataset
X_train, ... | 116 | 3,803 |
tinygrad | test/models/test_train.py | .py | import unittest, time
import numpy as np
from tinygrad import Device
from tinygrad.nn.state import get_parameters
from tinygrad.nn import optim
from tinygrad.helpers import getenv
from test.helpers import slow
from extra.training import train
from extra.models.convnext import ConvNeXt
from extra.models.efficientnet imp... | 84 | 2,347 |
tinygrad | test/models/test_onnx.py | .py | #!/usr/bin/env python
import unittest
import numpy as np
from tinygrad.nn.onnx import OnnxRunner
from tinygrad.device import Device
from tinygrad.helpers import fetch, Context
from extra.onnx_helpers import validate
from extra.huggingface_onnx.huggingface_manager import DOWNLOADS_DIR, snapshot_download_with_retry
def... | 94 | 3,411 |
tinygrad | test/models/test_whisper.py | .py | import unittest
import pathlib
from examples.whisper import init_whisper, load_file_waveform, transcribe_file, transcribe_waveform
from examples.audio_helpers import mel
import examples.mlperf.metrics as metrics
from tinygrad.helpers import fetch
from test.helpers import slow
from tinygrad import Tensor, Device, dtypes... | 156 | 7,537 |
tinygrad | test/speed/external_test_copy_speed.py | .py | import unittest, numpy as np, os
from tinygrad import Tensor, Device, TinyJit
from tinygrad.helpers import Timing, getenv
import multiprocessing.shared_memory as shared_memory
N = getenv("NSZ", 256)
class TestCopySpeed(unittest.TestCase):
@classmethod
def setUpClass(cls): Device[Device.DEFAULT].synchronize()
de... | 92 | 3,565 |
tinygrad | test/speed/external_test_speed_v_torch.py | .py | import os
os.environ["NVIDIA_TF32_OVERRIDE"] = "0"
os.environ["MKL_NUM_THREADS"] = "1"
os.environ["NUMEXPR_NUM_THREADS"] = "1"
os.environ["OMP_NUM_THREADS"] = "1"
os.environ["VECLIB_MAXIMUM_THREADS"] = "1"
import unittest
import torch
torch.set_num_threads(1)
import time
import numpy as np
import sys
np.set_printoption... | 289 | 11,786 |
tinygrad | test/speed/external_test_specific_conv.py | .py | import unittest
from tinygrad import Tensor, Device, dtypes
from tinygrad.helpers import DEV
# similar to test/external/external_test_gpu_ast.py, but universal
@unittest.skipIf(Device.DEFAULT in {"CUDA", "NV"} and DEV.interface.startswith("MOCK"), "slow on ocelot")
class TestSpecific(unittest.TestCase):
# from openp... | 55 | 2,352 |
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