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243 lines
10 KiB
243 lines
10 KiB
import unittest, decimal, json
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from tinygrad.uop.ops import UOp, UPat, Ops, PatternMatcher, TrackedPatternMatcher
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from tinygrad.uop.ops import graph_rewrite, track_rewrites, TRACK_MATCH_STATS
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from tinygrad.uop.symbolic import sym
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from tinygrad.dtype import dtypes
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@track_rewrites(name=True)
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def exec_rewrite(sink:UOp, pm_lst:list[PatternMatcher], names:None|list[str]=None) -> UOp:
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for i,pm in enumerate(pm_lst):
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sink = graph_rewrite(sink, TrackedPatternMatcher(pm.patterns), name=names[i] if names else None)
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return sink
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# real VIZ=1 pickles these tracked values
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from tinygrad.viz.serve import get_metadata
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from tinygrad.uop.ops import tracked_keys, tracked_ctxs, active_rewrites, _name_cnt
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def get_viz_list(): return get_metadata(tracked_keys, tracked_ctxs)
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class TestViz(unittest.TestCase):
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def setUp(self):
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# clear the global context
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for lst in [tracked_keys, tracked_ctxs, active_rewrites, _name_cnt]: lst.clear()
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self.tms = TRACK_MATCH_STATS.value
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TRACK_MATCH_STATS.value = 2
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def tearDown(self): TRACK_MATCH_STATS.value = self.tms
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def test_simple(self):
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a = UOp.variable("a", 0, 10)
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exec_rewrite((a+0)*1, [sym])
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lst = get_viz_list()
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# VIZ displays rewrites in groups of tracked functions
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self.assertEqual(len(lst), 1)
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# each group has a list of steps
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self.assertEqual(len(lst[0]["steps"]), 1)
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# each step has a list of matches
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self.assertEqual(lst[0]["steps"][0]["match_count"], 2)
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def test_rewrites(self):
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a = UOp.variable("a", 0, 10)
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exec_rewrite(a*1, [sym])
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exec_rewrite(a*2, [sym])
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lst = get_viz_list()
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self.assertEqual(len(lst), 2)
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# names dedup using a counter
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self.assertEqual(lst[0]["name"], "exec_rewrite n1")
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self.assertEqual(lst[1]["name"], "exec_rewrite n2")
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def test_steps(self):
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a = UOp.variable("a", 0, 10)
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exec_rewrite(a+1, [PatternMatcher([]), PatternMatcher([])], ["x", "y"])
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steps = get_viz_list()[0]["steps"]
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# steps can optionally have a name
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self.assertEqual(steps[0]["name"], "x")
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self.assertEqual(steps[1]["name"], "y")
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def test_rewrite_location(self):
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def inner(sink): return graph_rewrite(sink, PatternMatcher([]))
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@track_rewrites(name=True)
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def outer(sink): return inner(sink)
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outer(UOp.variable("a", 1, 10))
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lst = get_viz_list()
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# step location comes from inner rewrite
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fp, lineno = lst[0]["steps"][0]["loc"]
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self.assertEqual(fp, inner.__code__.co_filename)
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self.assertEqual(lineno, inner.__code__.co_firstlineno)
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def test_exceptions(self):
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# VIZ tracks rewrites up to the error
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def count_3(x:UOp):
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assert x.arg <= 3
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return x.replace(arg=x.arg+1)
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err_pm = PatternMatcher([(UPat.cvar("x"), count_3),])
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a = UOp.const(dtypes.int, 1)
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with self.assertRaises(AssertionError): exec_rewrite(a, [err_pm])
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lst = get_viz_list()
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err_step = lst[0]["steps"][0]
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self.assertEqual(err_step["match_count"], 3)
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def test_default_name(self):
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a = UOp.variable("a", 1, 10)
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@track_rewrites()
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def name_default(): return graph_rewrite(a, PatternMatcher([]))
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name_default()
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lst = get_viz_list()
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self.assertEqual(lst[0]["name"], "name_default n1")
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# name can also be the first arg
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def test_self_name(self):
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@track_rewrites()
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def name_is_self(s:UOp): return graph_rewrite(s, PatternMatcher([]))
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name_is_self(arg:=UOp.variable("a", 1, 10))
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lst = get_viz_list()
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self.assertEqual(lst[0]["name"], str(arg))
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# name can also come from a function
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def test_dyn_name_fxn(self):
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@track_rewrites(name=lambda a,ret: a.render())
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def name_from_fxn(s:UOp): return graph_rewrite(s, PatternMatcher([]))
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name_from_fxn(UOp.variable("a", 1, 10)+1)
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lst = get_viz_list()
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self.assertEqual(lst[0]["name"], "(a+1) n1")
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# VIZ displays nested graph_rewrites in a tree view
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def leaf_rewrite(x:UOp): return x.rtag(1) if x.tag is None else None
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leaf = TrackedPatternMatcher([(UPat(Ops.DEFINE_VAR, name="x"), leaf_rewrite)])
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def branch_rewrite(x:UOp, y:UOp):
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if x.tag is not None: return
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x2 = graph_rewrite(x, leaf, name="leaf_left")
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y2 = graph_rewrite(y, leaf, name="leaf_right")
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return x2 * y2
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branch = TrackedPatternMatcher([(UPat.var("x")+UPat.var("y"), branch_rewrite)])
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def root_rewrite(root:UOp):
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new_src = tuple(graph_rewrite(b, branch, name=f"branch_{i}") for i,b in enumerate(root.src))
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return root.replace(src=new_src)
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root = TrackedPatternMatcher([(UPat(Ops.SINK, src=UPat(Ops.ADD), name="root"), root_rewrite),])
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class TestVizTree(TestViz):
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def assertStepEqual(self, step:dict, want:dict):
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for k,v in want.items():
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self.assertEqual(step[k], v, f"failed at '{k}': {v} != {step[k]}\n{step=}")
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def test_tree_view(self):
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a = UOp.variable("a",0,10)
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b = UOp.variable("b",0,10)
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c = UOp.variable("c",0,10)
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d = UOp.variable("d",0,10)
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sink = UOp.sink(a+b, c+d)
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@track_rewrites()
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def tree_rewrite(): return graph_rewrite(sink, root, name="root")
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tree_rewrite()
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lst = get_viz_list()
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steps = lst[0]["steps"]
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self.assertEqual(len(steps), 1+2+4)
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self.assertStepEqual(steps[0], {"name":"root", "depth":0, "match_count":1})
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self.assertStepEqual(steps[1], {"name":"branch_0", "depth":1, "match_count":1})
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self.assertStepEqual(steps[2], {"name":"leaf_left", "depth":2, "match_count":1})
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self.assertStepEqual(steps[3], {"name":"leaf_right", "depth":2, "match_count":1})
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self.assertStepEqual(steps[4], {"name":"branch_1", "depth":1, "match_count":1})
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self.assertStepEqual(steps[5], {"name":"leaf_left", "depth":2, "match_count":1})
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self.assertStepEqual(steps[6], {"name":"leaf_right", "depth":2, "match_count":1})
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# VIZ integrates with other parts of tinygrad
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from tinygrad import Tensor, Device
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from tinygrad.engine.realize import get_program
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class TestVizIntegration(TestViz):
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# kernelize has a custom name function in VIZ
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def test_kernelize_tracing(self):
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a = Tensor.empty(4, 4)
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Tensor.kernelize(a+1, a+2)
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lst = get_viz_list()
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self.assertEqual(len(lst), 1)
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self.assertEqual(lst[0]["name"], "Schedule 2 Kernels n1")
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# codegen supports rendering of code blocks
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def test_codegen_tracing(self):
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ast = Tensor.schedule(Tensor.empty(4)+Tensor.empty(4))[0].ast
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prg = get_program(ast, Device[Device.DEFAULT].renderer)
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lst = get_viz_list()
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self.assertEqual(len(lst), 2)
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self.assertEqual(lst[0]["name"], "Schedule 1 Kernel n1")
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self.assertEqual(lst[1]["name"], prg.name)
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from tinygrad.device import ProfileDeviceEvent, ProfileRangeEvent, ProfileGraphEvent, ProfileGraphEntry
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from tinygrad.viz.serve import to_perfetto
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class TextVizProfiler(unittest.TestCase):
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def test_perfetto_node(self):
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prof = [ProfileRangeEvent(device='NV', name='E_2', st=decimal.Decimal(1000), en=decimal.Decimal(1010), is_copy=False),
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ProfileDeviceEvent(device='NV', comp_tdiff=decimal.Decimal(-1000), copy_tdiff=decimal.Decimal(-100))]
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j = json.loads(to_perfetto(prof))
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# Device regs always first
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self.assertEqual(j['traceEvents'][0]['name'], 'process_name')
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self.assertEqual(j['traceEvents'][0]['ph'], 'M')
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self.assertEqual(j['traceEvents'][0]['args']['name'], 'NV')
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self.assertEqual(j['traceEvents'][1]['name'], 'thread_name')
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self.assertEqual(j['traceEvents'][1]['ph'], 'M')
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self.assertEqual(j['traceEvents'][1]['pid'], j['traceEvents'][0]['pid'])
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self.assertEqual(j['traceEvents'][1]['tid'], 0)
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self.assertEqual(j['traceEvents'][1]['args']['name'], 'COMPUTE')
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self.assertEqual(j['traceEvents'][2]['name'], 'thread_name')
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self.assertEqual(j['traceEvents'][2]['ph'], 'M')
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self.assertEqual(j['traceEvents'][2]['pid'], j['traceEvents'][0]['pid'])
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self.assertEqual(j['traceEvents'][2]['tid'], 1)
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self.assertEqual(j['traceEvents'][2]['args']['name'], 'COPY')
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self.assertEqual(j['traceEvents'][3]['name'], 'E_2')
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self.assertEqual(j['traceEvents'][3]['ts'], 0)
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self.assertEqual(j['traceEvents'][3]['dur'], 10)
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self.assertEqual(j['traceEvents'][3]['ph'], 'X')
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self.assertEqual(j['traceEvents'][3]['pid'], j['traceEvents'][0]['pid'])
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self.assertEqual(j['traceEvents'][3]['tid'], 0)
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def test_perfetto_copy_node(self):
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prof = [ProfileRangeEvent(device='NV', name='COPYxx', st=decimal.Decimal(1000), en=decimal.Decimal(1010), is_copy=True),
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ProfileDeviceEvent(device='NV', comp_tdiff=decimal.Decimal(-1000), copy_tdiff=decimal.Decimal(-100))]
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j = json.loads(to_perfetto(prof))
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self.assertEqual(j['traceEvents'][3]['name'], 'COPYxx')
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self.assertEqual(j['traceEvents'][3]['ts'], 900) # diff clock
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self.assertEqual(j['traceEvents'][3]['dur'], 10)
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self.assertEqual(j['traceEvents'][3]['ph'], 'X')
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self.assertEqual(j['traceEvents'][3]['tid'], 1)
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def test_perfetto_graph(self):
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prof = [ProfileDeviceEvent(device='NV', comp_tdiff=decimal.Decimal(-1000), copy_tdiff=decimal.Decimal(-100)),
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ProfileDeviceEvent(device='NV:1', comp_tdiff=decimal.Decimal(-500), copy_tdiff=decimal.Decimal(-50)),
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ProfileGraphEvent(ents=[ProfileGraphEntry(device='NV', name='E_25_4n2', st_id=0, en_id=1, is_copy=False),
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ProfileGraphEntry(device='NV:1', name='NV -> NV:1', st_id=2, en_id=3, is_copy=True)],
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deps=[[], [0]],
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sigs=[decimal.Decimal(1000), decimal.Decimal(1002), decimal.Decimal(1004), decimal.Decimal(1008)])]
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j = json.loads(to_perfetto(prof))
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# Device regs always first
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self.assertEqual(j['traceEvents'][0]['args']['name'], 'NV')
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self.assertEqual(j['traceEvents'][1]['args']['name'], 'COMPUTE')
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self.assertEqual(j['traceEvents'][2]['args']['name'], 'COPY')
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self.assertEqual(j['traceEvents'][3]['args']['name'], 'NV:1')
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self.assertEqual(j['traceEvents'][4]['args']['name'], 'COMPUTE')
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self.assertEqual(j['traceEvents'][5]['args']['name'], 'COPY')
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self.assertEqual(j['traceEvents'][6]['name'], 'E_25_4n2')
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self.assertEqual(j['traceEvents'][6]['ts'], 0)
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self.assertEqual(j['traceEvents'][6]['dur'], 2)
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self.assertEqual(j['traceEvents'][6]['pid'], j['traceEvents'][0]['pid'])
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self.assertEqual(j['traceEvents'][7]['name'], 'NV -> NV:1')
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self.assertEqual(j['traceEvents'][7]['ts'], 954)
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self.assertEqual(j['traceEvents'][7]['dur'], 4)
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self.assertEqual(j['traceEvents'][7]['pid'], j['traceEvents'][3]['pid'])
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if __name__ == "__main__":
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unittest.main()
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