mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-01-26 07:18:40 -05:00
dc9e9e4363
* Create UnaryOps.RECIP and BinaryOps.IDIV and changing uses of BinaryOps.DIV * Delete unused import * Add cstyle renderer * Fix formatting text * Fix test error due to bad implementation of renderer * Add PTX support * Add RECIP to LLVMIR * Remove BinaryOps.DIV from symbolic test * Change some test and fix C floor division * Change references to DIV for the RECIP or IDIV * Add mimic idiv for symbolic test * Restore floor * Mimic idiv * cast to int * Fix some test and renderer * Remove DIV for render nodes * Resolve issue with div * Add TestRenderer * Fix test * fix error * Fix PAD test * Fix div implementation * Remove DIV * Add upcast to rshift, due to use of MUL and RECIP on DIV * Fix linter * Remove complete BinaryOps.DIV * Fix lint * Fix some test * Revert mul modification * Fix tests * Fix CLANG for uops * Revert IDIV function * Minor fix * modify pattern matching rule to support nan * Fix UNSAFE_PADS_OPS to add UnaryOps.RECIP * Remove const folding for IDIV and fix PTX * Complete remove IDIV from extra * Remove test_div from TestFloatUOps due to test on recip * Fix linearizer * fix * Fix test_22 * Fix llvm * Apply trunc function for llvmlit * use floor instead of trunc * Use correct type * Generate new fuzz db * Fix rshift, do not cast to float to support idiv * Return upcast=false to rshift * Add to unsafepad BinaryOps.IDIV * Remove RECIP override for CUDA * add atol / rtol for the test * Remove cast to int on IDIV * Regenerate sops * delete sops.gz * regenerate * regenerate * regenerate * Reduce margins * pass atol and rtol as parametersg for _test_metrics * regenerated dataset * Regenerate * Remove duplicated * Revert changes on extra * Remove changes extra and NOQA for test * Remove E501 * Remove and change line * Remove E501 * Fix atan2 * Revert import and E501 * Remove E501 * Add hrcp to halp ops * Remove 1 of hrcp * Remove last DIV and add type check on uops for IDIV * Fix new tests * Fix tests and custom function * Regenerate dataset * Regenerate dataset * Revert dataset * Change generate dataset script * Remove line * Change IDIV, type checker validate if x,y and z are int --------- Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
90 lines
15 KiB
Python
90 lines
15 KiB
Python
# ruff: noqa: E501
|
|
import unittest
|
|
from tinygrad import dtypes, Device
|
|
from tinygrad.helpers import CI
|
|
from tinygrad.codegen.linearizer import Linearizer
|
|
from tinygrad.engine.search import Opt, OptOps
|
|
from tinygrad.engine.search import time_linearizer, bufs_from_lin
|
|
|
|
# stuff needed to unpack a kernel
|
|
from tinygrad.ops import LazyOp, BinaryOps, UnaryOps, ReduceOps, BufferOps, MemBuffer, ConstBuffer
|
|
from tinygrad.shape.shapetracker import ShapeTracker
|
|
from tinygrad.shape.view import View
|
|
|
|
def _test_overflow(ast, opts):
|
|
lin = Linearizer(ast)
|
|
for opt in opts: lin.apply_opt(opt)
|
|
lin.linearize()
|
|
bufs = bufs_from_lin(lin)
|
|
print(bufs)
|
|
time_linearizer(lin, bufs)
|
|
|
|
# NOTE: if you want these to trigger, set launch bounds on HIP kernels
|
|
@unittest.skip("unneeded without launch bounds")
|
|
class TestLinearizerOverflow(unittest.TestCase):
|
|
def test_overflow_1(self):
|
|
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=BinaryOps.MAX, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.SUB, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 64, 1, 3, 8, 230, 8, 230), strides=(0, 150528, 0, 50176, 0, 224, 0, 1), offset=-675, mask=((0, 1), (0, 64), (0, 1), (0, 3), (0, 8), (3, 227), (0, 8), (3, 227)), contiguous=False), View(shape=(64, 1, 64, 112, 112, 3, 7, 7), strides=(10156800, 0, 0, 3680, 2, 3385600, 425040, 231), offset=0, mask=None, contiguous=False))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64, 1, 64, 112, 112, 3, 7, 7), strides=(0, 0, 147, 0, 0, 49, 7, 1), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(7, 6, 5)), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64, 1, 64, 112, 112, 1, 1, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=3, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64, 1, 64, 112, 112, 1, 1, 1), strides=(0, 0, 1, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=UnaryOps.SQRT, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64, 1, 64, 112, 112, 1, 1, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=UnaryOps.RECIP, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64, 1, 64, 112, 112, 1, 1, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1e-05, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64, 1, 64, 112, 112, 1, 1, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),))), arg=None),), arg=None)), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=4, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64, 1, 64, 112, 112, 1, 1, 1), strides=(0, 0, 1, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64, 1, 64, 112, 112, 1, 1, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64, 1, 64, 112, 112, 1, 1, 1), strides=(802816, 0, 12544, 112, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),))))
|
|
opts = [Opt(op=OptOps.LOCAL, axis=3, amt=16), Opt(op=OptOps.LOCAL, axis=2, amt=16), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=4), Opt(op=OptOps.UPCAST, axis=2, amt=0)]
|
|
_test_overflow(ast, opts)
|
|
|
|
# From BEAM on hlb_cifar.py
|
|
def test_overflow_2(self):
|
|
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 512, 1, 32, 4, 34, 4, 34), strides=(0, 32768, 0, 1024, 0, 32, 0, 1), offset=-33, mask=((0, 1), (0, 512), (0, 1), (0, 32), (0, 4), (1, 33), (0, 4), (1, 33)), contiguous=False), View(shape=(512, 1, 64, 32, 32, 32, 3, 3), strides=(591872, 0, 0, 136, 1, 18496, 4760, 35), offset=0, mask=None, contiguous=False))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 1, 64, 32, 32, 32, 3, 3), strides=(0, 0, 288, 0, 0, 9, 3, 1), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(7, 6, 5)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 1, 64, 32, 32, 1, 1, 1), strides=(65536, 0, 1024, 32, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),))))
|
|
opts = [Opt(op=OptOps.LOCAL, axis=3, amt=16), Opt(op=OptOps.LOCAL, axis=2, amt=4), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=2, amt=0), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=0)]
|
|
_test_overflow(ast, opts)
|
|
|
|
# from BEAM on default simple_conv.py (which is quite large):
|
|
def test_overflow_3(self):
|
|
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 16, 1, 128, 4, 130, 4, 130), strides=(0, 2097152, 0, 16384, 0, 128, 0, 1), offset=-129, mask=((0, 1), (0, 16), (0, 1), (0, 128), (0, 4), (1, 129), (0, 4), (1, 129)), contiguous=False), View(shape=(16, 1, 128, 128, 128, 128, 3, 3), strides=(34611200, 0, 0, 520, 1, 270400, 68120, 131), offset=0, mask=None, contiguous=False))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(16, 1, 128, 128, 128, 128, 3, 3), strides=(0, 0, 1152, 0, 0, 9, 3, 1), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(7, 6, 5)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(16, 1, 128, 128, 128, 1, 1, 1), strides=(2097152, 0, 16384, 128, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),))))
|
|
opts = [Opt(op=OptOps.LOCAL, axis=3, amt=16), Opt(op=OptOps.LOCAL, axis=2, amt=8), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=3, amt=0), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.UPCAST, axis=2, amt=2)]
|
|
_test_overflow(ast, opts)
|
|
|
|
# from BEAM on BS=4 simple_conv.py:
|
|
def test_overflow_4(self):
|
|
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 4, 1, 128, 4, 130, 4, 130), strides=(0, 2097152, 0, 16384, 0, 128, 0, 1), offset=-129, mask=((0, 1), (0, 4), (0, 1), (0, 128), (0, 4), (1, 129), (0, 4), (1, 129)), contiguous=False), View(shape=(4, 1, 128, 128, 128, 128, 3, 3), strides=(34611200, 0, 0, 520, 1, 270400, 68120, 131), offset=0, mask=None, contiguous=False))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(4, 1, 128, 128, 128, 128, 3, 3), strides=(0, 0, 1152, 0, 0, 9, 3, 1), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(7, 6, 5)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(4, 1, 128, 128, 128, 1, 1, 1), strides=(2097152, 0, 16384, 128, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),))))
|
|
opts = [Opt(op=OptOps.UPCAST, axis=3, amt=4), Opt(op=OptOps.LOCAL, axis=3, amt=16), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.LOCAL, axis=2, amt=4), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.UPCAST, axis=2, amt=4)]
|
|
_test_overflow(ast, opts)
|
|
|
|
# from BEAM on BS=2 simple_conv.py:
|
|
def test_overflow_5(self):
|
|
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 2, 1, 128, 4, 130, 4, 130), strides=(0, 2097152, 0, 16384, 0, 128, 0, 1), offset=-129, mask=((0, 1), (0, 2), (0, 1), (0, 128), (0, 4), (1, 129), (0, 4), (1, 129)), contiguous=False), View(shape=(2, 1, 128, 128, 128, 128, 3, 3), strides=(34611200, 0, 0, 520, 1, 270400, 68120, 131), offset=0, mask=None, contiguous=False))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 128, 128, 128, 128, 3, 3), strides=(0, 0, 1152, 0, 0, 9, 3, 1), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(7, 6, 5)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 128, 128, 128, 1, 1, 1), strides=(2097152, 0, 16384, 128, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),))))
|
|
opts = [Opt(op=OptOps.LOCAL, axis=3, amt=16), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=3, amt=0), Opt(op=OptOps.LOCAL, axis=2, amt=2), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.UPCAST, axis=2, amt=2)]
|
|
_test_overflow(ast, opts)
|
|
|
|
# from BEAM on BS=3 simple_conv.py:
|
|
def test_overflow_6(self):
|
|
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 3, 1, 128, 4, 130, 4, 130), strides=(0, 2097152, 0, 16384, 0, 128, 0, 1), offset=-129, mask=((0, 1), (0, 3), (0, 1), (0, 128), (0, 4), (1, 129), (0, 4), (1, 129)), contiguous=False), View(shape=(3, 1, 128, 128, 128, 128, 3, 3), strides=(34611200, 0, 0, 520, 1, 270400, 68120, 131), offset=0, mask=None, contiguous=False))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(3, 1, 128, 128, 128, 128, 3, 3), strides=(0, 0, 1152, 0, 0, 9, 3, 1), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(7, 6, 5)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(3, 1, 128, 128, 128, 1, 1, 1), strides=(2097152, 0, 16384, 128, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),))))
|
|
opts = [Opt(op=OptOps.LOCAL, axis=3, amt=16), Opt(op=OptOps.UPCAST, axis=3, amt=0), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.LOCAL, axis=2, amt=8), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.UPCAST, axis=3, amt=2)]
|
|
_test_overflow(ast, opts)
|
|
|
|
# from BEAM on BS=3 simple_conv.py: (alt)
|
|
def test_overflow_7(self):
|
|
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 3, 1, 128, 4, 130, 4, 130), strides=(0, 2097152, 0, 16384, 0, 128, 0, 1), offset=-129, mask=((0, 1), (0, 3), (0, 1), (0, 128), (0, 4), (1, 129), (0, 4), (1, 129)), contiguous=False), View(shape=(3, 1, 128, 128, 128, 128, 3, 3), strides=(34611200, 0, 0, 520, 1, 270400, 68120, 131), offset=0, mask=None, contiguous=False))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(3, 1, 128, 128, 128, 128, 3, 3), strides=(0, 0, 1152, 0, 0, 9, 3, 1), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(7, 6, 5)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(3, 1, 128, 128, 128, 1, 1, 1), strides=(2097152, 0, 16384, 128, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),))))
|
|
opts = [Opt(op=OptOps.UPCAST, axis=3, amt=4), Opt(op=OptOps.LOCAL, axis=3, amt=16), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.LOCAL, axis=2, amt=8), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.UPCAST, axis=2, amt=4)]
|
|
_test_overflow(ast, opts)
|
|
|
|
@unittest.skipIf(Device.DEFAULT not in {"GPU", "HSA", "CUDA", "METAL"}, "only backends with locals")
|
|
@unittest.skipIf(CI, "slow")
|
|
class TestLinearizerOverflowAlt(unittest.TestCase):
|
|
def test_overflow_1(self):
|
|
BS = 2
|
|
in_1 = MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, BS, 1, 3, 8, 230, 8, 230), strides=(0, 150528, 0, 50176, 0, 224, 0, 1), offset=-675, mask=((0, 1), (0, BS), (0, 1), (0, 3), (0, 8), (3, 227), (0, 8), (3, 227)), contiguous=False),
|
|
View(shape=(BS, 1, 64, 112, 112, 3, 7, 7), strides=(10156800, 0, 0, 3680, 2, 3385600, 425040, 231), offset=0, mask=None, contiguous=False))))
|
|
in_2 = MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(BS, 1, 64, 112, 112, 3, 7, 7), strides=(0, 0, 147, 0, 0, 49, 7, 1), offset=0, mask=None, contiguous=False),)))
|
|
ot_0 = MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(BS, 1, 64, 112, 112, 1, 1, 1), strides=(802816, 0, 12544, 112, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),)))
|
|
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, arg=in_1), LazyOp(op=BufferOps.LOAD, arg=in_2))),), arg=(7, 6, 5)),), arg=ot_0)
|
|
opts = [Opt(op=OptOps.LOCAL, axis=3, amt=16), Opt(op=OptOps.LOCAL, axis=2, amt=2), Opt(op=OptOps.UPCAST, axis=0, amt=2)]
|
|
_test_overflow(ast, opts)
|
|
def test_overflow_2(self):
|
|
BS = 2
|
|
in_1 = MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, BS, 1, 3, 8, 230, 8, 230), strides=(0, 150528, 0, 50176, 0, 224, 0, 1), offset=-675, mask=((0, 1), (0, BS), (0, 1), (0, 3), (0, 8), (3, 227), (0, 8), (3, 227)), contiguous=False),
|
|
View(shape=(BS, 1, 64, 112, 112, 3, 7, 7), strides=(10156800, 0, 0, 3680, 2, 3385600, 425040, 231), offset=0, mask=None, contiguous=False))))
|
|
in_2 = MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(BS, 1, 64, 112, 112, 3, 7, 7), strides=(0, 0, 147, 0, 0, 49, 7, 1), offset=0, mask=None, contiguous=False),)))
|
|
ot_0 = MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(BS, 1, 64, 112, 112, 1, 1, 1), strides=(802816, 0, 12544, 112, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),)))
|
|
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, arg=in_1), LazyOp(op=BufferOps.LOAD, arg=in_2))),), arg=(7, 6, 5)),), arg=ot_0)
|
|
opts = [Opt(op=OptOps.LOCAL, axis=3, amt=16), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.LOCAL, axis=2, amt=16), Opt(op=OptOps.UPCAST, axis=4, amt=4), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.UPCAST, axis=5, amt=2)]
|
|
_test_overflow(ast, opts)
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|