mirrors/tinygrad
2
0
Fork 0
mirror of https://github.com/tinygrad/tinygrad.git synced 2026-06-24 02:14:17 +00:00
Code Issues Projects Releases Packages Wiki Activity
tinygrad/test/test_linearizer_failures.py
Patrick Tsai 971d7f5d7c
 O(n) arange attempt (#3530) 
* It works?

* Clamp correctly

* Refactor

* Make code better

* Undo some stuff

* First step to trying to make floats work

* Floats work in Python op but not metal because int div is different

Python integerdivision was implemented as // which rounds towards
negative infinity, but C integer division rounds towards 0 so there
is an off-by-1 division error

* arange does cumsum with ints and then multiplies by step

This is so loop optimization can remain int only

* Undo a lot of symbolic changes

* Final check

* Cleanup

* There can be multiple phis

* Fix multiple phi op removal

* const sets dtype correctly

* Fix bugs

* Fix a couple bugs and add loop vars to resolve

* missed one

* Don't trim too many ops

* Fix symbolic test

* Use ones instead of full

* Delete test

* Lint passes

* max node error

* Small updates to loop logic

* Remove unnecessary changes

* We are getting somewhere

* Simple case

* Fix

* rm, prn

* Better

* If NumNode doesn't work then continue

* clamp is needed for arange(256)

* Move everything into the optim fn

* Replace correctly

* Order optimizations better

* Delete

* mypy

* Test for simplification

* Rename

* Fix test

* update test description

* Undo more

* Cleanup

* No replaced_ops map

* Fix lint

* AssertionError

* back again

* Reinstate assertion

* Return true and make diff not as big

* Bigger range for test

* Change cumsum impl

* fix bug

* make big cumsum work

* lint

* Undo cumsum 2-stage removal

* No while helper

* optional min/max clamping

* floats work

* rm giant arange test

* fix python cast None

* Check phi parents

* one phi allowed per where

* Fix one phi per where

* Rework iteration

* Delete assertions

* convert to int

* Try mul -1 instead of neg for hip..?

* Remove one phi per where requirements

* one accum only

* Lint

* should simplify a loop at a time

* Don't get rid of loop explcitly

* Need to iterate backwards

* lint

* unary neg

* Make optim work for onnx and sum_pad_collapse

* Better message

* filter alu ops correctly

* Fix the limiter

* lint and simplify

* Add it back

* off by one error

* test wheres and phis

* test max ops and non-if stuff

* <=

* cast_scalar

* Oops

* Change test

* Pass loop uops instead of a modified map

* Cut param transfer between linearizer and uops

* Fix issues

* Fix lint

* fix efficientnet python 3.8 invalid syntax

* distinct vars in seen_vars

* accurate var names

---------

Co-authored-by: Patrick Tsai <patosai@users.noreply.github.com>
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
2024-03-11 16:09:20 -07:00

176 lines
38 KiB
Python
Raw Blame History

# ruff: noqa: E501
import unittest, random
import numpy as np
from tinygrad.codegen.kernel import KernelOptError
from tinygrad.codegen.linearizer import Linearizer
from tinygrad.features.search import Opt, OptOps
from tinygrad import Device, dtypes, Tensor
from tinygrad.helpers import CI
from test.external.fuzz_linearizer import run_linearizer, get_fuzz_rawbufs, get_fuzz_rawbuf_like
from test.test_dtype import is_dtype_supported
from tinygrad.ops import LazyOp, BinaryOps, UnaryOps, ReduceOps, BufferOps, MemBuffer, ConstBuffer, get_lazyop_info
from tinygrad.shape.shapetracker import ShapeTracker
from tinygrad.shape.view import View
def helper_test_lin(lin: Linearizer, opts, failed_platforms):
if any(b.dtype == dtypes.half for b in lin.membufs) and not is_dtype_supported(dtypes.half):
return
rawbufs = get_fuzz_rawbufs(lin)
var_vals = {v: random.randint(v.min, v.max) for v in lin.ast.vars()}
assert run_linearizer(lin, rawbufs, var_vals) == "PASS" or Device.DEFAULT in failed_platforms, "Failed running non-optimized ast"
ground_truth = np.frombuffer(rawbufs[0].as_buffer(), rawbufs[0].dtype.np)
for opt in opts:
try:
lin.apply_opt(opt)
except KernelOptError:
# it's considered fixed if we invalidated the opts
assert Device.DEFAULT not in failed_platforms
rawbufs[0] = get_fuzz_rawbuf_like(rawbufs[0], zero=True)
linearizer_passed = (run_linearizer(lin, rawbufs, var_vals) == "PASS")
output_allclose = np.allclose(ground_truth, np.frombuffer(rawbufs[0].as_buffer(), rawbufs[0].dtype.np), rtol=1e-2, atol=1e-2)
if Device.DEFAULT not in failed_platforms:
assert linearizer_passed and output_allclose, f"{linearizer_passed=}, {output_allclose=}"
else:
assert not linearizer_passed or not output_allclose, f"{linearizer_passed=}, {output_allclose=}"
def helper_add_store(op):
info = get_lazyop_info(op)
return LazyOp(BufferOps.STORE, (op, ), MemBuffer(0, info.dtype, ShapeTracker.from_shape(info.shape)))
@unittest.skipIf(CI and Device.DEFAULT=="CUDA", "failed on CUDA CI")
class TestLinearizerFailures(unittest.TestCase):
def setUp(self):
random.seed(42)
np.random.seed(42)
Tensor.manual_seed(42)
def test_failure_1(self):
ast = LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 16), strides=(16, 1, 0), offset=0, mask=None, contiguous=False),)))),), arg=(2,)), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 1), strides=(0, 1, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 16, 1), strides=(16, 1, 0), offset=0, mask=None, contiguous=True),))))), arg=None)
ast = helper_add_store(ast)
helper_test_lin(Linearizer(ast), [], failed_platforms=[])
def test_failure_2(self):
ast = LazyOp(op=ReduceOps.MAX, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 2, 111, 27), strides=(6160, 3080, 28, 1), offset=0, mask=((0, 32), (0, 2), (0, 110), (0, 27)), contiguous=False), View(shape=(32, 2, 37, 9, 2, 2), strides=(5994, 2997, 81, 3, 27, 1), offset=0, mask=None, contiguous=False))))),), arg=(4, 5))
opts = [Opt(op=OptOps.LOCAL, axis=0, amt=32)]
ast = helper_add_store(ast)
helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
def test_failure_3(self):
ast = LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(32, 8, 16, 16), strides=(2048, 256, 16, 1), offset=0, mask=None, contiguous=True),)))),), arg=(3,))
opts = [Opt(op=OptOps.GROUP, axis=0, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=2), Opt(op=OptOps.UNROLL, axis=1, amt=0), Opt(op=OptOps.UPCAST, axis=0, amt=4), Opt(op=OptOps.LOCAL, axis=0, amt=2), Opt(op=OptOps.LOCAL, axis=0, amt=2), Opt(op=OptOps.UPCAST, axis=1, amt=0), Opt(op=OptOps.LOCAL, axis=0, amt=32)]
# METAL: AssertionError: Error Domain=AGXMetalG13X Code=3 "Threadgroup memory size (65536) exceeds the maximum threadgroup memory allowed (32768)" UserInfo={NSLocalizedDescription=Threadgroup memory size (65536) exceeds the maximum threadgroup memory allowed (32768)}
ast = helper_add_store(ast)
helper_test_lin(Linearizer(ast), opts, failed_platforms=["METAL", "GPU", "CUDA"])
def test_failure_5(self):
ast = LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.1464405059814453, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 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=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.1464405059814453, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 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=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 1, 4, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None)), arg=None),), arg=(0, 2, 4, 6))
opts = [Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=0)]
# EXEC_ERROR, it has no global_size
ast = helper_add_store(ast)
helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
def test_failure_6(self):
ast = LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=-1, dtype=dtypes.int32, st=ShapeTracker(views=(View(shape=(11, 19), strides=(0, 0), offset=0, mask=((0, 11), (9, 19)), contiguous=False), View(shape=(10, 10), strides=(1, 20), offset=0, mask=None, contiguous=False))))),), arg=(1,)), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=10.0, dtype=dtypes.int32, st=ShapeTracker(views=(View(shape=(10, 1), strides=(0, 0), offset=0, mask=None, contiguous=False),))))), arg=None)
opts = [Opt(op=OptOps.UPCAST, axis=0, amt=2), Opt(op=OptOps.UPCAST, axis=0, amt=0)]
# COMPILE FAILED, KeyError: UOps.CONST
ast = helper_add_store(ast)
helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
def test_failure_7(self):
ast = LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 32, 6, 8, 4, 6, 8, 4), strides=(2048, 64, 6291456, 8, 0, 1048576, 1, 0), offset=0, mask=((0, 512), (0, 32), (0, 6), (0, 8), (0, 1), (0, 6), (0, 8), (0, 1)), contiguous=False), View(shape=(512, 32, 6, 35, 6, 35), strides=(1179648, 36864, 6144, 192, 32, 1), offset=0, mask=((0, 512), (0, 32), (0, 6), (0, 32), (0, 6), (0, 32)), contiguous=False), View(shape=(512, 32, 238, 238), strides=(1411200, 44100, 210, 1), offset=0, mask=((0, 512), (0, 32), (0, 210), (0, 210)), contiguous=False), View(shape=(512, 32, 7, 34, 7, 34), strides=(1812608, 56644, 8092, 238, 34, 1), offset=0, mask=None, contiguous=True))))),), arg=(2, 4))
opts = [Opt(op=OptOps.UPCAST, axis=0, amt=4)]
# test/test_linearizer_failures.py Fatal Python error: Segmentation fault
ast = helper_add_store(ast)
helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
def test_failure_8(self):
ast = LazyOp(op=UnaryOps.SQRT, src=(LazyOp(op=BinaryOps.DIV, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),))))), arg=None), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 4096), strides=(0, 0, 1), offset=0, mask=None, contiguous=True),))))), arg=None)), arg=None),), arg=(2,)), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.000244140625, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1e-06, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=True),))))), arg=None)), arg=None),), arg=None)
opts = [Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=4)]
# fatal error: bracket nesting level exceeded maximum of 256
# note: use -fbracket-depth=N to increase maximum nesting level
ast = helper_add_store(ast)
helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
def test_failure_9(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, 3, 1, 1, 1, 1, 5, 15, 5, 3, 4), strides=(0, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 2, 1, 3, 1, 1, 1, 1, 5, 15, 5, 3, 4), strides=(0, 4500, 0, 0, 0, 0, 0, 0, 900, 60, 12, 4, 1), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(1,)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1, 3, 1, 1, 1, 1, 5, 15, 5, 3, 4), strides=(0, 0, 0, 4500, 0, 0, 0, 0, 900, 60, 12, 4, 1), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.UPCAST, axis=0, amt=0), Opt(op=OptOps.PADTO, axis=0, amt=32)]
helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
def test_failure_10(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(1, 1, 1024, 50257), strides=(0, 0, 0, 1), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(1, 1, 1024, 50257), strides=(0, 0, 1, 1024), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(3,)), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=3, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(1, 1, 1024, 1), strides=(0, 0, 1, 0), offset=0, mask=None, contiguous=True),))))), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(1, 1, 1024, 1), strides=(0, 0, 1, 0), offset=0, mask=None, contiguous=True),))))
helper_test_lin(Linearizer(ast), [], failed_platforms=[])
def test_failure_11(self):
src = LazyOp(op=BinaryOps.DIV, src=(LazyOp(op=ReduceOps.SUM,
src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.SUB, src=(LazyOp(op=BinaryOps.MAX, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 6, 6), strides=(0, 1, 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=(512, 64, 6, 6), strides=(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=(512, 64, 6, 6), strides=(0, 1, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 6, 6), strides=(0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.DIV, src=(LazyOp(op=BinaryOps.SUB, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 3, 3, 2, 2), strides=(0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True))))), LazyOp(op=UnaryOps.CAST, src=(LazyOp(op=BinaryOps.CMPLT, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.SUB, src=(LazyOp(op=BinaryOps.MAX, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True))))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 6, 6), strides=(0, 1, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 6, 6), strides=(0, 0, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=3, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 6, 6), strides=(0, 1, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 6, 6), strides=(0, 0, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None), LazyOp(op=UnaryOps.SQRT, src=(LazyOp(op=UnaryOps.CAST, src=(LazyOp(op=BinaryOps.DIV, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64,), strides=(0,), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(0, 1, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True))))), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=4, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64,), strides=(1,), offset=0, mask=None, contiguous=True), View(shape=(512, 64, 6, 6), strides=(0, 1, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True))))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=5.425347222222222e-05, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64,), strides=(0,), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(0, 1, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1e-05, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(64,), strides=(0,), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(0, 1, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None)), arg=None),), arg=(dtypes.float, False)),), arg=None)), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 6, 6), strides=(0, 0, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 3, 2, 2), strides=(2304, 36, 12, 2, 6, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=5, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 3, 3, 2, 2), strides=(576, 9, 3, 1, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None),),arg=(dtypes.float,False))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=6, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 3, 3, 2, 2), strides=(576, 9, 3, 1, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=7, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(512, 64, 3, 3, 2, 2), strides=(576, 9, 3, 1, 0, 0), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 3, 2, 3, 2), strides=(2304, 36, 12, 2, 4, 1), offset=0, mask=None, contiguous=False), View(shape=(512, 64, 6, 6), strides=(2304, 36, 6, 1), offset=0, mask=None, contiguous=True)))))), arg=None)), arg=None),),
arg=(0, 2, 3)), LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=UnaryOps.SQRT, src=(LazyOp(op=UnaryOps.CAST, src=(LazyOp(op=BinaryOps.DIV, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 64, 1, 1), strides=(0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=4, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 64, 1, 1), strides=(0, 1, 0, 0), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=5.425347222222222e-05, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 64, 1, 1), strides=(0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1e-05, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 64, 1, 1), strides=(0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None)), arg=None),), arg=(dtypes.float, False)),), arg=None), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=2.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 64, 1, 1), strides=(0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None)), arg=None)
ast = LazyOp(op=BufferOps.STORE, src=(src,), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 64, 1, 1), strides=(0, 1, 0, 0), offset=0, mask=None, contiguous=True),))))
helper_test_lin(Linearizer(ast), [], failed_platforms=[])
def test_failure_12(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 18, 0, 3, 0, 1), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 18, 0, 3, 0, 1), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None)), arg=None),), arg=(0, 2, 4, 8)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1, 1, 1, 4, 1, 6, 1, 3), strides=(0, 0, 0, 0, 0, 18, 0, 3, 0, 1), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.PADTO, axis=0, amt=32), Opt(op=OptOps.GROUP, axis=0, amt=4)]
helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
# both kernels are correct from a code standpoint, but generate different results due to precision errors (switching to float results in output matches)
def test_failure_13(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=ReduceOps.SUM,
src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(2, 1, 384, 51864), strides=(51864, 0, 0, 1), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(2, 1, 384, 51864), strides=(0, 0, 1, 384), offset=0, mask=None, contiguous=False),))))), arg=None),),
arg=(3,)), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=3, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(2, 1, 384, 1), strides=(0, 0, 1, 0), offset=19584, mask=None, contiguous=False),))))), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.half, st=ShapeTracker(views=(View(shape=(2, 1, 384, 1), strides=(384, 0, 1, 0), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.GROUP, axis=0, amt=4)]
helper_test_lin(Linearizer(ast), opts, failed_platforms=["METAL", "HIP", "HSA"])
def test_failure_14(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 18, 0, 3, 0, 1), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 18, 0, 3, 0, 1), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 3, 4, 2, 6, 1, 3), strides=(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None)), arg=None),), arg=(1, 1, 1, 1, 1, 4, 1, 6, 1, 3)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 1, 1, 1, 4, 1, 6, 1, 3), strides=(0, 0, 0, 0, 0, 18, 0, 3, 0, 1), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.PADTO, axis=0, amt=32), Opt(op=OptOps.UPCAST, axis=0, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=4)]
# COMPILE_ERROR on METAL in fuzz_linearizer: unused variables and undeclared variables
helper_test_lin(Linearizer(ast), opts, failed_platforms=["METAL", "GPU", "HIP", "HSA"])
def test_failure_15(self):
ast = LazyOp(op=BufferOps.STORE, 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, 1, 112, 14, 14, 480, 1, 1), strides=(0, 0, 0, 14, 1, 196, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 112, 14, 14, 480, 1, 1), strides=(0, 0, 480, 0, 0, 1, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(5,)), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=3, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 112, 14, 14, 1, 1, 1), strides=(0, 0, 1, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=4, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 112, 14, 14, 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.DIV, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 112, 14, 14, 1, 1, 1), strides=(0, 0, 0, 0, 0, 0, 0, 0), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=5, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 112, 14, 14, 1, 1, 1), strides=(0, 0, 1, 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=(1, 1, 112, 14, 14, 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=6, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 1, 112, 14, 14, 1, 1, 1), strides=(0, 0, 1, 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=(1, 1, 112, 14, 14, 1, 1, 1), strides=(0, 0, 196, 14, 1, 0, 0, 0), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=2), Opt(op=OptOps.PADTO, axis=1, amt=32), Opt(op=OptOps.LOCAL, axis=0, amt=4), Opt(op=OptOps.LOCAL, axis=0, amt=2), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.UPCAST, axis=3, amt=0), Opt(op=OptOps.GROUP, axis=0, amt=8), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.LOCAL, axis=1, amt=16)]
# COMPILE_ERROR on METAL in fuzz_linearizer ast 115: Error Domain=AGXMetalG14X Code=3 "Compiler encountered an internal error"
helper_test_lin(Linearizer(ast), opts, failed_platforms=["METAL", "GPU", "HIP", "HSA"])
def test_failure_16(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 13, 1024), strides=(0, 1024, 1), offset=0, mask=None, contiguous=True),)))),), arg=(2,)), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=0.0009765625, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 13, 1), strides=(0, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(1, 13, 1), strides=(0, 1, 0), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.GROUP, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=0, amt=0), Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.GROUP, axis=0, amt=8), Opt(op=OptOps.UNROLL, axis=0, amt=4), Opt(op=OptOps.UNROLL, axis=1, amt=4)]
# COMPILE_ERROR on METAL/GPU (probably HIP/CUDA too) in fuzz_linearizer ast 154: bracket nesting level exceeded maximum of 256
helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
def test_failure_17(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=(2, 1, 40, 240, 28, 28, 1, 1), strides=(0, 0, 1, 40, 0, 0, 0, 0), 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, 40, 240, 28, 28, 1, 1), strides=(188160, 0, 0, 784, 28, 1, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(3,)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 40, 1, 28, 28, 1, 1), strides=(31360, 0, 784, 0, 28, 1, 0, 0), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=0), Opt(op=OptOps.PADTO, axis=1, amt=32), Opt(op=OptOps.LOCAL, axis=0, amt=2), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.GROUPTOP, axis=0, amt=16), Opt(op=OptOps.PADTO, axis=1, amt=32), Opt(op=OptOps.LOCAL, axis=1, amt=4)]
# COMPILE_ERROR on METAL in fuzz_linearizer ast 178: Error Domain=AGXMetalG14X Code=3 "Compiler encountered an internal error"
helper_test_lin(Linearizer(ast), opts, failed_platforms=["METAL", "GPU", "HIP", "HSA"])
def test_failure_18(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 384, 1), strides=(384, 0, 1, 0), offset=0, mask=None, contiguous=True),)))), LazyOp(op=BinaryOps.ADD, src=(LazyOp(op=ReduceOps.SUM, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 384, 1536), strides=(1536, 0, 0, 1), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=3, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 384, 1536), strides=(0, 0, 1536, 1), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(3,)), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=4, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 384, 1), strides=(0, 0, 1, 0), offset=0, mask=None, contiguous=False),))))), arg=None)), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 384, 1), strides=(384, 0, 1, 0), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.UPCAST, axis=1, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=0), Opt(op=OptOps.GROUPTOP, axis=0, amt=256), Opt(op=OptOps.UPCAST, axis=0, amt=4), Opt(op=OptOps.UPCAST, axis=0, amt=3)]
# COMPILE_ERROR on METAL in fuzz_linearizer ast 239: Error Domain=AGXMetalG14X Code=3 "Compiler encountered an internal error"
helper_test_lin(Linearizer(ast), opts, failed_platforms=["METAL", "GPU", "HIP", "HSA"])
def test_failure_19(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=(2, 1, 4, 4, 9, 7, 3, 3), strides=(0, 0, 36, 9, 0, 0, -3, -1), offset=8, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=2, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 4, 9, 7, 3, 3), strides=(252, 0, 0, 63, 7, 1, 0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=(3,)),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(2, 1, 4, 1, 9, 7, 3, 3), strides=(2268, 0, 567, 0, 63, 9, 3, 1), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.LOCAL, axis=2, amt=3), Opt(op=OptOps.UPCAST, axis=1, amt=2), Opt(op=OptOps.UPCAST, axis=0, amt=0), Opt(op=OptOps.GROUP, axis=0, amt=4), Opt(op=OptOps.UPCAST, axis=1, amt=7), Opt(op=OptOps.UPCAST, axis=2, amt=3), Opt(op=OptOps.UPCAST, axis=1, amt=0), Opt(op=OptOps.LOCAL, axis=0, amt=2), Opt(op=OptOps.LOCAL, axis=0, amt=3)]
# COMPILE_ERROR on METAL in fuzz_linearizer ast 379: Error Domain=AGXMetalG14X Code=3 "Compiler encountered an internal error"
helper_test_lin(Linearizer(ast), opts, failed_platforms=["METAL", "GPU", "HIP", "HSA"])
def test_failure_20(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=BinaryOps.MUL, src=(LazyOp(op=BufferOps.LOAD, src=(), arg=MemBuffer(idx=1, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(4, 4), strides=(0, 1), offset=0, mask=None, contiguous=False),)))), LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(4, 4), strides=(0, 0), offset=0, mask=None, contiguous=False),))))), arg=None),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(4, 4), strides=(4, 1), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.UPCAST, axis=1, amt=0), Opt(op=OptOps.UPCAST, axis=0, amt=0)]
helper_test_lin(Linearizer(ast), opts, failed_platforms=[])
def test_failure_21(self):
ast = LazyOp(op=BufferOps.STORE, src=(LazyOp(op=BufferOps.CONST, src=(), arg=ConstBuffer(val=1.0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(45, 65), strides=(0, 0), offset=0, mask=None, contiguous=False),)))),), arg=MemBuffer(idx=0, dtype=dtypes.float, st=ShapeTracker(views=(View(shape=(45, 65), strides=(65, 1), offset=0, mask=None, contiguous=True),))))
opts = [Opt(op=OptOps.PADTO, axis=0, amt=32)]
# LLVM: RuntimeError: PHINode should have one entry for each predecessor of its parent basic block!
helper_test_lin(Linearizer(ast), opts, failed_platforms=["LLVM"])
if __name__ == '__main__':
unittest.main()
Reference in a new issue View git blame Copy permalink