mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-01-09 15:08:02 -05:00
78 lines
5.2 KiB
Python
78 lines
5.2 KiB
Python
# 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.shape.shapetracker import ShapeTracker, View
|
|
from tinygrad.codegen.opt.search import Opt, OptOps
|
|
from tinygrad.engine.realize import get_program
|
|
from tinygrad.renderer.ptx import PTXRenderer
|
|
|
|
class TestLinearizerFailure(unittest.TestCase):
|
|
@unittest.skipUnless(Device.DEFAULT == "METAL", "only tested on METAL")
|
|
def test_failure_beam_mnist(self):
|
|
c0 = UOp(Ops.DEFINE_GLOBAL, dtypes.uchar.ptr(4014080), arg=0, src=())
|
|
c1 = UOp.range(UOp.const(dtypes.index, 512), 0, AxisType.GLOBAL)
|
|
c2 = UOp.range(UOp.const(dtypes.index, 784), 1, AxisType.GLOBAL)
|
|
c3 = UOp.range(UOp.const(dtypes.index, 10), 3, AxisType.GLOBAL)
|
|
c4 = UOp(Ops.DEFINE_GLOBAL, dtypes.int.ptr(512), arg=1, src=())
|
|
c5 = c4.index(c1.valid(UOp.const(dtypes.bool, True))).load()
|
|
c6 = UOp.range(UOp.const(dtypes.index, 6000), 1004, AxisType.REDUCE)
|
|
c7 = UOp.range(UOp.const(dtypes.index, 3750), 2006, AxisType.REDUCE)
|
|
c8 = UOp.range(UOp.const(dtypes.index, 16), 2007, AxisType.GROUP_REDUCE)
|
|
c9 = UOp(Ops.DEFINE_GLOBAL, dtypes.uchar.ptr(47040000), arg=2, src=())
|
|
c10 = c9.index((((c3*UOp.const(dtypes.index, 4704000))+c2)+(c6*UOp.const(dtypes.index, 784))).valid(UOp.const(dtypes.bool, True))).load()
|
|
c11 = c5.alu(Ops.CMPNE, ((((c3*UOp.const(dtypes.index, 6000))+c6)+((c7*UOp.const(dtypes.index, 16))+c8)).alu(Ops.CMPLT, UOp.const(dtypes.index, 59999)).where(UOp.const(dtypes.int, 0), UOp.const(dtypes.int, 1)).reduce(c7, c8, arg=Ops.ADD)+UOp.const(dtypes.int, -1))).where(UOp.const(dtypes.uchar, 0), c10).reduce(c6, arg=Ops.ADD)
|
|
c12 = c0.index((((c1*UOp.const(dtypes.index, 7840))+(c2*UOp.const(dtypes.index, 10)))+c3).valid(UOp.const(dtypes.bool, True))).store(c11, c1, c2, c3)
|
|
ast = c12.sink(arg=KernelInfo(name='test', axis_types=(), dont_use_locals=False, applied_opts=(Opt(op=OptOps.GROUP, axis=1, arg=16),), opts_to_apply=None))
|
|
_ = get_program(ast, Device["METAL"].renderer)
|
|
|
|
class TestLinearizerDumb(unittest.TestCase):
|
|
@unittest.expectedFailure
|
|
@unittest.skipUnless(Device[Device.DEFAULT].renderer.supports_float4, "need float4")
|
|
def test_unrolled_float4_align(self):
|
|
c0 = UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(1), arg=0, src=())
|
|
c1 = c0.view(ShapeTracker(views=(View(shape=(1, 1), strides=(0, 0), offset=0, mask=None, contiguous=True),)))
|
|
c2 = UOp(Ops.DEFINE_GLOBAL, dtypes.long.ptr(18), arg=1, src=())
|
|
c3 = c2.view(ShapeTracker(views=(View(shape=(3, 6), strides=(6, 1), offset=0, mask=None, contiguous=True),)))
|
|
c4 = c3.load()
|
|
c5 = UOp(Ops.VIEW, dtypes.void, arg=ShapeTracker(views=(View(shape=(3, 6), strides=(0, 0), offset=0, mask=None, contiguous=False),)), src=())
|
|
c6 = UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(18), arg=2, src=())
|
|
c7 = c6.view(ShapeTracker(views=(View(shape=(3, 6), strides=(6, 1), offset=0, mask=None, contiguous=True),)))
|
|
c8 = c7.load()
|
|
c9 = c1.store(c4.alu(Ops.CMPNE, UOp.const(dtypes.long, -1, src=c5)).alu(Ops.CMPNE, UOp.const(dtypes.bool, True, src=c5)).where(UOp.const(dtypes.float, 0.0, src=c5), c8).f(Ops.REDUCE_AXIS, arg=(Ops.ADD, (0, 1))))
|
|
ast = c9.sink()
|
|
opts = [Opt(op=OptOps.UNROLL, axis=0, arg=0)]
|
|
prg = get_program(ast, Device[Device.DEFAULT].renderer, opts)
|
|
print(prg.src)
|
|
load_idxs = [x.src[1] for x in prg.uops if x.op is Ops.LOAD and x.src[0].arg == 2]
|
|
assert load_idxs[0] < load_idxs[1], f"first loaded idx {load_idxs[0].arg} then {load_idxs[1].arg}!"
|
|
|
|
@unittest.expectedFailure
|
|
@unittest.skipUnless(Device[Device.DEFAULT].renderer.supports_float4, "need float4")
|
|
@unittest.skipIf(isinstance(Device[Device.DEFAULT].renderer, PTXRenderer), "this is somehow correct in PTX")
|
|
def test_upcasted_stores_out_of_order(self):
|
|
c0 = UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(9360), arg=0, src=())
|
|
c1 = c0.view(ShapeTracker(views=(View(shape=(4, 5, 13, 1, 1, 1, 1, 1, 4, 3, 3), strides=(2340, 468, 36, 0, 0, 0, 0, 0, 9, 3, 1), offset=0, mask=None, contiguous=True),)))
|
|
c2 = UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(144), arg=1, src=())
|
|
c3 = c2.view(ShapeTracker(views=(View(shape=(4, 5, 13, 1, 1, 1, 4, 1, 4, 3, 3), strides=(0, 0, 0, 0, 0, 0, 1, 0, 4, 48, 16), offset=0, mask=None, contiguous=False),)))
|
|
c4 = c3.load()
|
|
c5 = UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(1040), arg=2, src=())
|
|
c6 = c5.view(ShapeTracker(views=(View(shape=(4, 5, 13, 1, 1, 1, 4, 1, 4, 3, 3), strides=(260, 13, 1, 0, 0, 0, 65, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))
|
|
c7 = c6.load()
|
|
c8 = c1.store((c4*c7).f(Ops.REDUCE_AXIS, arg=(Ops.ADD, (6,))))
|
|
ast = c8.sink()
|
|
opts = [Opt(op=OptOps.UPCAST, axis=3, arg=0), Opt(op=OptOps.UPCAST, axis=2, arg=0)]
|
|
prg = get_program(ast, Device[Device.DEFAULT].renderer, opts)
|
|
print(prg.src)
|
|
store_idxs = [x.src[1] for x in prg.uops if x.op is Ops.STORE]
|
|
for i in range(len(store_idxs) - 1):
|
|
first_bounds = store_idxs[i].vmin+store_idxs[i].vmax
|
|
next_bounds = store_idxs[i+1].vmin+store_idxs[i+1].vmax
|
|
assert first_bounds < next_bounds, f"first stored (max) idx {first_bounds} then {next_bounds}!"
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|