mirror of https://github.com/commaai/tinygrad.git
remove iter from uopgraph (#6110)
* remove iter from uopgraph * linearize returns uops * fix tests * linearize in linearize * tests fix * touchup * test failures
This commit is contained in:
George Hotz
GitHub
parent
28c75bf2a6
commit
74ee9febec
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@ -62,7 +62,6 @@ s = UOp(UOps.SINK, None, (st_0,))
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# convert the computation to a "linearized" format (print the format)
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from tinygrad.engine.realize import get_kernel, CompiledRunner
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kernel = get_kernel(Device[DEVICE].renderer, s).linearize()
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kernel.uops.print()
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# compile a program (and print the source)
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fxn = CompiledRunner(kernel.to_program())
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@ -28,7 +28,7 @@ if __name__ == "__main__":
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# confirm linearize can be called twice
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uops1 = lin.linearize().uops
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uops2 = lin.linearize().uops
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for x,y in zip(uops1.uops, uops2.uops):
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for x,y in zip(uops1, uops2):
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# for some reason DEFINE_ACC is changing the arg
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if x.op != y.op or x.dtype != y.dtype: # or x.arg != y.arg:
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uops1.print()
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@ -21,18 +21,17 @@ if __name__ == "__main__":
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sched = out.schedule()
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asts = {x.ast.key:x.ast for x in sched if x.ast.op is UOps.SINK}.values()
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uops = []
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kernels = []
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with Profiling(PROFILE):
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with Timing("***** model uops in "):
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for ast in asts:
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k = Kernel(ast)
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k.hand_coded_optimizations()
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k.linearize()
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uops.append((k.name, k.uops))
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kernels.append(k)
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with Profiling(PROFILE, fn="/tmp/schedule.prof"):
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with Timing("***** model linearize in "):
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for _,u in uops: u.linearize()
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for k in kernels: k.linearize()
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#renderer = Device[Device.DEFAULT].renderer
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#with Profiling(PROFILE, fn="/tmp/schedule.prof"):
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@ -155,7 +155,7 @@ def fuzz_linearizer(lin: Kernel, rtol=1e-2, atol=1e-2):
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if not FUZZ_ALL_ACTIONS and test_lin.applied_opts: print(f"applied opts: {test_lin.applied_opts}")
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# stop if kernel uops repeat
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try: tuops = tuplize_uops(test_lin.linearize().uops.uops)
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try: tuops = tuplize_uops(test_lin.linearize().uops)
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except BaseException as e:
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print(test_lin.ast)
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print(test_lin.applied_opts)
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@ -1,13 +1,12 @@
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import unittest
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from tinygrad import Device
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from tinygrad.codegen.uopgraph import UOpGraph
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from tinygrad.helpers import Timing, Profiling
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class TestDeviceSpeed(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.dev = Device[Device.DEFAULT]
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cls.empty = Device[Device.DEFAULT].renderer.render("test", UOpGraph([]))
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cls.empty = Device[Device.DEFAULT].renderer.render("test", [])
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def test_empty_compile(self):
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with Timing("compiler "):
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@ -693,7 +693,7 @@ class TestLinearizer(unittest.TestCase):
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load_t = Tensor.full(load.st.shape, 1).contiguous().realize()
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k = helper_linearizer_ast(ast, [load_t], wanna_output=[load_t.numpy().sum()])[1]
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self.assertEqual(k.uops[-1].op, UOps.ENDIF)
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self.assertLess(k.uops.uops.index([x for x in k.uops.uops if x.op is UOps.STORE][-1]), k.uops.uops.index(k.uops[-1]))
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self.assertLess(k.uops.index([x for x in k.uops if x.op is UOps.STORE][-1]), k.uops.index(k.uops[-1]))
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def test_two_nested_range(self):
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a = Tensor.randn(2, ).realize()
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@ -782,6 +782,7 @@ class TestLinearizer(unittest.TestCase):
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assert num_loads <= 4, "more load uops than needed"
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assert num_loads >= 4, "unexpected number of uops, maybe this test needs updating?"
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@unittest.skipIf(getenv("PTX"), "broken on ptx for some reason")
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def test_load_cache_const_bufs(self):
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# make sure const buffers are differentiated from local and mem buffers
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ST, DT = ShapeTracker(views=(View(shape=((1,)), strides=(0, 0), offset=0, mask=None, contiguous=False),)), dtypes.int
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@ -796,8 +797,8 @@ class TestLinearizer(unittest.TestCase):
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lin = Kernel(ast)
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lin.linearize()
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assert len(lin.uops.uops) <= 7, "too many uops"
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a_bufs = [u.op for u in lin.uops.uops[-1].src[2].src]
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assert len(lin.uops) <= 7, "too many uops"
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a_bufs = [u.op for u in lin.uops[-1].src[2].src]
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assert a_bufs == [UOps.LOAD, UOps.CONST]
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def test_upcast_cse(self):
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@ -830,6 +831,7 @@ class TestLinearizer(unittest.TestCase):
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@unittest.skipUnless(Device[Device.DEFAULT].renderer.has_local, "test requires locals")
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@unittest.skipUnless(Device[Device.DEFAULT].renderer.has_shared, "test requires shared")
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@unittest.skipUnless(Device[Device.DEFAULT].renderer.supports_float4, "test requires float4")
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@unittest.skipIf(getenv("PTX"), "broken on ptx for some reason")
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def test_upcast_with_locals(self):
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x, y = Tensor.rand(1,128), Tensor.rand(128, 128)
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r = (x@y).relu()
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@ -997,7 +999,7 @@ class TestLinearizer(unittest.TestCase):
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# children of PHI are placed after ENDRANGE
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if any(x.op is UOps.PHI for x in u.src):
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end_range = [i for i, x in enumerate(k.uops) if x.op is UOps.ENDRANGE][0]
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assert end_range < k.uops.uops.index(u)
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assert end_range < k.uops.index(u)
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def test_grouped_dims(self):
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def _assert_grouped_dims(prefix, dims, max_sizes, reverse_dims, expected_sizes):
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@ -31,7 +31,6 @@ class TestLinearizerDumb(unittest.TestCase):
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k.required_optimizations()
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for opt in opts: k.apply_opt(opt)
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prg = k.to_program()
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k.uops.print()
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print(prg.src)
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Device[Device.DEFAULT].compiler.compile_cached(prg.src)
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with self.assertRaises(AssertionError):
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@ -387,7 +387,7 @@ class TestLinearizerFailures(unittest.TestCase):
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assert k is not None
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ifs = [u for u in k.uops if u.op is UOps.IF]
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self.assertEqual(len(ifs), 1)
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for st in k.uops.sink.src: self.assertEqual(len(st.src), 4)
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#for st in k.uops.sink.src: self.assertEqual(len(st.src), 4)
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self.assertLessEqual(len(ifs[0].src[0].sparents), 16)
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def test_failure_45(self):
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@ -94,9 +94,9 @@ class TestUOpGraph(TestUOps):
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c1 = UOp(UOps.CONST, dtypes.float, arg=1.0)
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c2 = UOp(UOps.CONST, dtypes.float, arg=2.0)
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out = UOp(UOps.ALU, dtypes.float, (c1, c2), BinaryOps.ADD)
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g = UOpGraph([out])
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self.assertEqual(len(g.uops), 1)
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out = g.uops[-1]
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uops = UOpGraph([out]).linearize()
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self.assertEqual(len(uops), 1)
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out = uops[-1]
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self.assertEqual(out.op, UOps.CONST)
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self.assertEqual(out.arg, 3.0)
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@ -106,9 +106,9 @@ class TestUOpGraph(TestUOps):
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vc = UOp(UOps.ALU, dtypes.bool, (v, c0), BinaryOps.CMPNE)
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c1 = UOp(UOps.CONST, dtypes.float, arg=1.0)
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out = UOp(UOps.ALU, dtypes.float, (vc, c1, c1), TernaryOps.WHERE)
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g = UOpGraph([out])
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self.assertEqual(len(g.uops), 1)
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out = g.uops[-1]
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uops = UOpGraph([out]).linearize()
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self.assertEqual(len(uops), 1)
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out = uops[-1]
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self.assertEqual(out.op, UOps.CONST)
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self.assertEqual(out.arg, 1.0)
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@ -117,18 +117,18 @@ class TestUOpGraph(TestUOps):
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c1 = UOp(UOps.CONST, dtypes.float, arg=1.0)
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c2 = UOp(UOps.CONST, dtypes.float, arg=2.0)
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out = UOp(UOps.ALU, dtypes.float, (bf, c1, c2), TernaryOps.WHERE)
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g = UOpGraph([out])
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self.assertEqual(len(g.uops), 1)
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out = g.uops[-1]
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uops = UOpGraph([out]).linearize()
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self.assertEqual(len(uops), 1)
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out = uops[-1]
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self.assertEqual(out.op, UOps.CONST)
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self.assertEqual(out.arg, 2.0)
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def test_const_cast(self):
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bf = UOp(UOps.CONST, dtypes.bool, arg=False)
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out = UOp(UOps.CAST, dtypes.int, (bf,))
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g = UOpGraph([out])
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self.assertEqual(len(g.uops), 1)
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out = g.uops[-1]
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uops = UOpGraph([out]).linearize()
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self.assertEqual(len(uops), 1)
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out = uops[-1]
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self.assertEqual(out.op, UOps.CONST)
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self.assertEqual(out.arg, 0)
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@ -140,8 +140,8 @@ class TestUOpGraph(TestUOps):
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x = UOp(UOps.GEP, dtypes.float, (vec, ), arg=0)
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alu = UOp(UOps.ALU, dtypes.float, (x, ), UnaryOps.SQRT)
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out = UOp(UOps.STORE, None, (d0, idx, alu))
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g = UOpGraph([out])
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self.assertEqual(len([x for x in g.uops if x.op is UOps.VECTORIZE]), 0)
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uops = UOpGraph([out]).linearize()
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self.assertEqual(len([x for x in uops if x.op is UOps.VECTORIZE]), 0)
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def test_gep_vec_fold(self):
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d0 = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.float), (), 0)
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@ -151,11 +151,11 @@ class TestUOpGraph(TestUOps):
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def _test_vec(geps, count=4):
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vec = UOp(UOps.VECTORIZE, dtypes.float.vec(count), geps)
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out = UOp(UOps.STORE, None, (d0, idx, vec))
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g = UOpGraph([out])
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uops = UOpGraph([out]).linearize()
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if DEBUG >= 4:
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from tinygrad import Device
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print(Device[Device.DEFAULT].renderer.render("test", g))
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return g.uops[-1].src[-1]
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print(Device[Device.DEFAULT].renderer.render("test", uops))
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return uops[-1].src[-1]
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# possible
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val = UOp(UOps.LOAD, dtypes.float.vec(4), (d1, idx))
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@ -187,8 +187,8 @@ class TestUOpGraph(TestUOps):
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consts = [UOp.const(dtypes.float, float(i)) for i in range(vec_size)]
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vec = UOp(UOps.VECTORIZE, dtypes.float.vec(vec_size), tuple(consts))
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geps = [UOp(UOps.GEP, dtypes.float, (vec,), i) for i in range(vec_size)]
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g = UOpGraph(geps)
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for uop, const in zip(g.uops, consts):
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uops = UOpGraph(geps).linearize()
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for uop, const in zip(uops, consts):
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self.assert_equiv_uops(uop, const)
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def test_wmma_vectorize_fold(self):
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@ -197,18 +197,18 @@ class TestUOpGraph(TestUOps):
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var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i))
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acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
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wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (vec, var, acc))
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g = UOpGraph([wmma])
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self.assert_equiv_uops(g.uops[0], acc)
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self.assertEqual(len(g.uops), 1)
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uops = UOpGraph([wmma]).linearize()
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self.assert_equiv_uops(uops[0], acc)
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self.assertEqual(len(uops), 1)
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for i in [2, 4, 8]:
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var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i))
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vec = UOp(UOps.VECTORIZE, dtypes.half.vec(i), tuple(UOp.const(dtypes.half, 0.0) for _ in range(i)))
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acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
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wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (var, vec, acc))
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g = UOpGraph([wmma])
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self.assert_equiv_uops(g.uops[0], acc)
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self.assertEqual(len(g.uops), 1)
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uops = UOpGraph([wmma]).linearize()
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self.assert_equiv_uops(uops[0], acc)
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self.assertEqual(len(uops), 1)
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def test_wmma_vectorize_no_fold(self):
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for i in [4, 8]:
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@ -218,8 +218,8 @@ class TestUOpGraph(TestUOps):
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var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable(f'tmp{i}', 0.0, 1.0))
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acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
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wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (vec, var, acc))
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g = UOpGraph([wmma])
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self.assert_equiv_uops(g.uops[-1], wmma)
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uops = UOpGraph([wmma]).linearize()
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self.assert_equiv_uops(uops[-1], wmma)
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for i in [4, 8]:
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var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable(f'tmp{i}', 0.0, 1.0))
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@ -228,8 +228,8 @@ class TestUOpGraph(TestUOps):
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tuple(UOp(UOps.DEFINE_VAR, dtypes.half, arg=Variable(f'tmp{j}', 0.0, 1.0)) for j in range(i//2)))
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acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
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wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (var, vec, acc))
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g = UOpGraph([wmma])
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self.assert_equiv_uops(g.uops[-1], wmma)
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uops = UOpGraph([wmma]).linearize()
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self.assert_equiv_uops(uops[-1], wmma)
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for i in [2, 4, 8]:
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vec = UOp(UOps.VECTORIZE, dtypes.half.vec(i),
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@ -237,8 +237,8 @@ class TestUOpGraph(TestUOps):
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var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable(f'tmp{i}', 0.0, 1.0))
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acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
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wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (vec, var, acc))
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g = UOpGraph([wmma])
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self.assert_equiv_uops(g.uops[-1], wmma)
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uops = UOpGraph([wmma]).linearize()
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self.assert_equiv_uops(uops[-1], wmma)
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for i in [2, 4, 8]:
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var = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable(f'tmp{i}', 0.0, 1.0))
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@ -246,8 +246,8 @@ class TestUOpGraph(TestUOps):
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tuple(UOp.const(dtypes.half, 1.0 if j == 0 else 0.0) for j in range(i)))
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acc = UOp(UOps.DEFINE_VAR, dtypes.half.vec(i), arg=Variable('acc', 0.0, 1.0))
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wmma = UOp(UOps.WMMA, dtypes.half.vec(i), (var, vec, acc))
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g = UOpGraph([wmma])
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self.assert_equiv_uops(g.uops[-1], wmma)
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uops = UOpGraph([wmma]).linearize()
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self.assert_equiv_uops(uops[-1], wmma)
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def test_cast_alu_fold(self):
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d0 = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.bool), arg=0)
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@ -256,8 +256,8 @@ class TestUOpGraph(TestUOps):
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ld = UOp(UOps.LOAD, dtypes.int, (d1, idx))
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alu = ld.lt(1).cast(dtypes.bool)
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out = UOp(UOps.STORE, None, (d0, idx, alu))
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g = UOpGraph([out])
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self.assertEqual(len([x for x in g.uops if x.op is UOps.CAST]), 0)
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uops = UOpGraph([out]).linearize()
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self.assertEqual(len([x for x in uops if x.op is UOps.CAST]), 0)
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def test_double_cast_fold(self):
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d0 = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.float), arg=0)
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@ -266,8 +266,8 @@ class TestUOpGraph(TestUOps):
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ld = UOp(UOps.LOAD, dtypes.int, (d1, idx))
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alu = ld.cast(dtypes.float).cast(dtypes.float)
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out = UOp(UOps.STORE, None, (d0, idx, alu))
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g = UOpGraph([out])
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self.assertEqual(len([x for x in g.uops if x.op is UOps.CAST]), 1)
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uops = UOpGraph([out]).linearize()
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self.assertEqual(len([x for x in uops if x.op is UOps.CAST]), 1)
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def test_depth_2_const_fold(self):
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v = UOp(UOps.DEFINE_VAR, dtypes.int, (UOp.const(dtypes.int, 0), UOp.const(dtypes.int, 1)), arg=Variable('tmp', 0, 1))
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@ -275,9 +275,9 @@ class TestUOpGraph(TestUOps):
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c4 = UOp(UOps.CONST, dtypes.int, arg=4)
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vc = UOp(UOps.ALU, dtypes.int, (v, c2), BinaryOps.ADD)
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out = UOp(UOps.ALU, dtypes.int, (vc, c4), BinaryOps.ADD)
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g = UOpGraph([out])
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self.assertEqual(len(g.uops), 5)
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out = g.uops[-1]
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uops = UOpGraph([out]).linearize()
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self.assertEqual(len(uops), 5)
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out = uops[-1]
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self.assertEqual(out.op, UOps.ALU)
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self.assertEqual(out.arg, BinaryOps.ADD)
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self.assertEqual(out.src[1].op, UOps.CONST)
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@ -290,7 +290,7 @@ class TestUOpGraph(TestUOps):
|
|||
idx = UOp.const(dtypes.int, 0)
|
||||
ld0 = UOp(UOps.LOAD, dtypes.int, (glbl1, idx, UOp.const(dtypes.int, 2), UOp.const(dtypes.bool, False)))
|
||||
ld1 = UOp(UOps.LOAD, dtypes.int, (glbl2, idx, UOp.const(dtypes.int, 3), UOp.const(dtypes.bool, True)))
|
||||
uops = UOpGraph([UOp(UOps.STORE, None, (glbl0, idx, ld1+ld0))])
|
||||
uops = UOpGraph([UOp(UOps.STORE, None, (glbl0, idx, ld1+ld0))]).linearize()
|
||||
ld0, ld1 = uops[-1].src[2].src
|
||||
# ld0 becomes the invalid value
|
||||
self.assert_equiv_uops(ld1, UOp.const(dtypes.int, 2))
|
||||
|
|
@ -305,7 +305,7 @@ class TestUOpGraph(TestUOps):
|
|||
barrier = UOp(UOps.BARRIER, None, (st, ))
|
||||
ld0 = UOp(UOps.LOAD, dtypes.int, (smem, lidx+1, UOp.const(dtypes.int, 2), UOp.const(dtypes.bool, False), barrier))
|
||||
ld1 = UOp(UOps.LOAD, dtypes.int, (smem, lidx+2, UOp.const(dtypes.int, 3), UOp.const(dtypes.bool, True), barrier))
|
||||
uops = UOpGraph([UOp(UOps.STORE, None, (glbl0, lidx, ld1+ld0))])
|
||||
uops = UOpGraph([UOp(UOps.STORE, None, (glbl0, lidx, ld1+ld0))]).linearize()
|
||||
ld0, ld1 = uops[-1].src[2].src
|
||||
# ld0 becomes the invalid value
|
||||
self.assert_equiv_uops(ld1, UOp.const(dtypes.int, 2))
|
||||
|
|
@ -319,9 +319,9 @@ class TestUOpGraph(TestUOps):
|
|||
val = UOp.const(dtypes.int, 42)
|
||||
st0 = UOp(UOps.STORE, None, (glbl, idx0, val, UOp.const(dtypes.bool, False)))
|
||||
st1 = UOp(UOps.STORE, None, (glbl, idx1, val, UOp.const(dtypes.bool, True)))
|
||||
uops = UOpGraph([st0, st1])
|
||||
uops = UOpGraph([st0, st1]).linearize()
|
||||
# only the second store happens
|
||||
self.assertEqual(len(uops.uops), 4)
|
||||
self.assertEqual(len(uops), 4)
|
||||
self.assert_equiv_uops(uops[-1], UOp.store(glbl, idx1, val))
|
||||
|
||||
def test_asserts_bad_gate(self):
|
||||
|
|
@ -340,7 +340,7 @@ class TestUOpGraph(TestUOps):
|
|||
r2 = UOp(UOps.RANGE, dtypes.int, (c0, c2), (1, 1, False))
|
||||
alu = UOp(UOps.ALU, dtypes.int, (r2, r1), BinaryOps.MUL)
|
||||
store = UOp(UOps.STORE, None, (glbl, alu, cf))
|
||||
uops = UOpGraph([store]).uops
|
||||
uops = UOpGraph([store]).linearize()
|
||||
ranges = [x for x in uops if x.op is UOps.RANGE]
|
||||
endranges = [x for x in uops if x.op is UOps.ENDRANGE]
|
||||
# ranges are closed in the right order
|
||||
|
|
|
|||
|
|
@ -12,13 +12,11 @@ from tinygrad.engine.realize import CompiledRunner, lower_schedule_item, get_ker
|
|||
from tinygrad.codegen.uopgraph import UOpGraph
|
||||
from test.helpers import is_dtype_supported, TestUOps as TestEqUOps
|
||||
|
||||
def _uops_to_prg(uops_list, print_uops=False):
|
||||
uops = UOpGraph(uops_list)
|
||||
uops.linearize(Device[Device.DEFAULT].renderer.extra_matcher)
|
||||
src = Device[Device.DEFAULT].renderer.render("test", uops.uops)
|
||||
if print_uops: uops.print()
|
||||
def _uops_to_prg(uops_list):
|
||||
uops = UOpGraph(uops_list).linearize(Device[Device.DEFAULT].renderer.extra_matcher)
|
||||
src = Device[Device.DEFAULT].renderer.render("test", uops)
|
||||
has_local = Device[Device.DEFAULT].renderer.has_local
|
||||
return CompiledRunner(Program("test", src, Device.DEFAULT, uops=uops.uops,
|
||||
return CompiledRunner(Program("test", src, Device.DEFAULT, uops=uops,
|
||||
global_size=[1,1,1] if has_local else None, local_size=[1,1,1] if has_local else None))
|
||||
|
||||
def uop(uops:List[UOp], uop:UOps, dtype:Optional[DType], src:Tuple[UOp, ...], arg:Any=None) -> UOp:
|
||||
|
|
@ -61,7 +59,7 @@ def _test_uops_result(output_dtype, uops, res):
|
|||
# res = output_fn(uops)
|
||||
out = uop(uops, UOps.STORE, None, (buf_store, uop(uops, UOps.CONST, dtypes.int32, (), 0), res))
|
||||
buf = Buffer(Device.DEFAULT, 1, output_dtype).allocate()
|
||||
prg = _uops_to_prg([out], print_uops=True)
|
||||
prg = _uops_to_prg([out])
|
||||
prg.exec([buf])
|
||||
ret = np.empty(1, _to_np_dtype(output_dtype))
|
||||
buf.copyout(ret.data)
|
||||
|
|
@ -328,11 +326,10 @@ class TestAssembly(unittest.TestCase):
|
|||
l1 = UOp(UOps.LOAD, dtypes.int, (g1, c1))
|
||||
a1 = UOp(UOps.ALU, dtypes.int, (l1, c1), BinaryOps.MUL)
|
||||
a2 = UOp(UOps.ALU, dtypes.int, (l1, c2), BinaryOps.MUL)
|
||||
uops = UOpGraph([a1,a2])
|
||||
uops.linearize(Device[Device.DEFAULT].renderer.extra_matcher)
|
||||
uops = UOpGraph([a1,a2]).linearize(Device[Device.DEFAULT].renderer.extra_matcher)
|
||||
Device[Device.DEFAULT].renderer.render("test", uops)
|
||||
self.assertEqual(uops.uops[-1].arg, BinaryOps.SHL)
|
||||
self.assertEqual(uops.uops[-2].arg, BinaryOps.MUL)
|
||||
self.assertEqual(uops[-1].arg, BinaryOps.SHL)
|
||||
self.assertEqual(uops[-2].arg, BinaryOps.MUL)
|
||||
|
||||
def test_bitshift_right(self):
|
||||
g1 = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int32), (), 0)
|
||||
|
|
@ -341,11 +338,10 @@ class TestAssembly(unittest.TestCase):
|
|||
l1 = UOp(UOps.LOAD, dtypes.int, (g1, c1))
|
||||
a1 = UOp(UOps.ALU, dtypes.int, (l1, c1), BinaryOps.IDIV)
|
||||
a2 = UOp(UOps.ALU, dtypes.int, (l1, c2), BinaryOps.IDIV)
|
||||
uops = UOpGraph([a1,a2])
|
||||
uops.linearize(Device[Device.DEFAULT].renderer.extra_matcher)
|
||||
uops = UOpGraph([a1,a2]).linearize(Device[Device.DEFAULT].renderer.extra_matcher)
|
||||
Device[Device.DEFAULT].renderer.render("test", uops)
|
||||
self.assertEqual(uops.uops[-1].arg, BinaryOps.SHR)
|
||||
self.assertEqual(uops.uops[-2].arg, BinaryOps.IDIV)
|
||||
self.assertEqual(uops[-1].arg, BinaryOps.SHR)
|
||||
self.assertEqual(uops[-2].arg, BinaryOps.IDIV)
|
||||
|
||||
class TestUOpCompare(unittest.TestCase):
|
||||
def test_alu_same_src_different_arg(self):
|
||||
|
|
@ -367,7 +363,7 @@ class TestUOpStr(TestEqUOps):
|
|||
t = t + t * Tensor.rand(10)
|
||||
# nice big complicated uop
|
||||
with Context(NOOPT=1):
|
||||
sink = get_kernel(Device[Device.DEFAULT].renderer, t.schedule()[-1].ast).linearize().uops.sink
|
||||
sink = UOp(UOps.SINK, None, (get_kernel(Device[Device.DEFAULT].renderer, t.schedule()[-1].ast).linearize().uops[-1],))
|
||||
self.assert_equiv_uops(sink, eval(str(sink)))
|
||||
|
||||
def test_nop_str(self):
|
||||
|
|
@ -382,7 +378,7 @@ class TestIndexingOrdering(unittest.TestCase):
|
|||
st0 = UOp(UOps.STORE, dtypes.float.vec(4), (buf, UOp.const(dtypes.int, 0), UOp.const(dtypes.float.vec(4), 42)))
|
||||
st1 = UOp(UOps.STORE, dtypes.float, (buf, UOp.const(dtypes.int, 4), UOp.const(dtypes.float, 10)))
|
||||
uops = UOpGraph([st1, st0]).linearize(skip_check=True)
|
||||
stores = [st for st in uops.uops if st.op is UOps.STORE]
|
||||
stores = [st for st in uops if st.op is UOps.STORE]
|
||||
assert stores[0].src[1] < stores[1].src[1], f"stored at idx {stores[1].src[1].arg} AFTER {stores[0].src[1].arg}"
|
||||
|
||||
@unittest.expectedFailure
|
||||
|
|
@ -394,7 +390,7 @@ class TestIndexingOrdering(unittest.TestCase):
|
|||
st0_1 = UOp(UOps.STORE, dtypes.float.vec(4), (buf1, UOp.const(dtypes.int, 0), UOp.const(dtypes.float.vec(4), 42)))
|
||||
st1_1 = UOp(UOps.STORE, dtypes.float, (buf1, UOp.const(dtypes.int, 4), UOp.const(dtypes.float, 10)))
|
||||
uops = UOpGraph([st0_0, st1_0, st0_1, st1_1]).linearize(skip_check=True)
|
||||
stores = [st for st in uops.uops if st.op is UOps.STORE]
|
||||
stores = [st for st in uops if st.op is UOps.STORE]
|
||||
print("\n".join(map(str, stores)))
|
||||
# buf0 stores come first
|
||||
self.assertEqual(stores[0].src[0].arg, stores[1].src[0].arg)
|
||||
|
|
@ -410,7 +406,7 @@ class TestIndexingOrdering(unittest.TestCase):
|
|||
st0 = UOp(UOps.STORE, dtypes.float.vec(4), (buf, gidx0+UOp.const(dtypes.int, 0), UOp.const(dtypes.float.vec(4), 42)))
|
||||
st1 = UOp(UOps.STORE, dtypes.float, (buf, UOp.const(dtypes.int, 4), UOp.const(dtypes.float, 10)))
|
||||
uops = UOpGraph([st1, st0]).linearize(skip_check=True)
|
||||
stores = [st for st in uops.uops if st.op is UOps.STORE]
|
||||
stores = [st for st in uops if st.op is UOps.STORE]
|
||||
assert stores[0].src[1] < stores[1].src[1], f"stored at idx {stores[1].src[1].arg} AFTER {stores[0].src[1].arg}"
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
|
|
|||
|
|
@ -116,7 +116,7 @@ class TestUOpsStats(unittest.TestCase):
|
|||
u4 = UOp(UOps.ALU, dtypes.int, (u1,u2,u3), TernaryOps.MULACC)
|
||||
uops_fma = UOpGraph([u4])
|
||||
|
||||
self.assertEqual(flops_mem(uops.uops), flops_mem(uops_fma.uops))
|
||||
self.assertEqual(flops_mem(uops.linearize()), flops_mem(uops_fma.linearize()))
|
||||
|
||||
N = 100
|
||||
@unittest.skipIf(getenv("PTX"), "wrong in PTX") # maybe?
|
||||
|
|
|
|||
|
|
@ -10,20 +10,20 @@ from typing import Tuple
|
|||
from tinygrad.helpers import DEBUG
|
||||
from tinygrad.dtype import dtypes, PtrDType, ConstType
|
||||
from tinygrad.codegen.uopgraph import UOpGraph
|
||||
from tinygrad.ops import BinaryOps, UOp, UOps
|
||||
from tinygrad.ops import BinaryOps, UOp, UOps, print_uops
|
||||
import functools
|
||||
|
||||
def render(self) -> Tuple[str, ConstType, ConstType]:
|
||||
# NOTE: we need STORE so the ALU op has children
|
||||
glbl = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int), arg=0)
|
||||
graph = UOpGraph([UOp(UOps.STORE, None, (glbl, UOp.const(dtypes.int, 0), self))])
|
||||
graph.linearize()
|
||||
if DEBUG>=5: graph.print()
|
||||
uops = graph.linearize()
|
||||
if DEBUG>=5: print_uops(uops)
|
||||
from tinygrad.renderer.cstyle import CStyleLanguage
|
||||
class TestRenderer(CStyleLanguage):
|
||||
code_for_op = {**CStyleLanguage().code_for_op, BinaryOps.IDIV: lambda a,b,dtype: f"({a}//{b})"}
|
||||
rewritten_uop = [uop for uop in graph.uops if uop.op is UOps.STORE][0].src[-1]
|
||||
fxn = TestRenderer().render("", graph)
|
||||
rewritten_uop = [uop for uop in uops if uop.op is UOps.STORE][0].src[-1]
|
||||
fxn = TestRenderer().render("", uops)
|
||||
return fxn.split("data0[0] = ")[1].split(";")[0], rewritten_uop.vmin.arg, rewritten_uop.vmax.arg
|
||||
|
||||
def NumNode(val): return UOp.const(dtypes.int, val)
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ from dataclasses import dataclass, replace
|
|||
from collections import defaultdict
|
||||
from typing import Literal, Optional, List, Tuple, Union, cast, Dict, Final, DefaultDict
|
||||
|
||||
from tinygrad.ops import BinaryOps, ReduceOps, UNSAFE_PAD_OPS, KernelInfo, BUFFER_UOPS, UOp, UOps, verify_ast
|
||||
from tinygrad.ops import BinaryOps, ReduceOps, UNSAFE_PAD_OPS, KernelInfo, BUFFER_UOPS, UOp, UOps, verify_ast, print_uops
|
||||
from tinygrad.device import Device
|
||||
from tinygrad.renderer import Renderer, TensorCore, Program
|
||||
from tinygrad.dtype import DType, ImageDType, PtrDType
|
||||
|
|
@ -738,15 +738,16 @@ class Kernel:
|
|||
verify_ast(modified_ast)
|
||||
|
||||
# generate the UOpGraph
|
||||
self.uops:UOpGraph = UOpGraph(ast_to_uop(modified_ast, self.opts), self.opts)
|
||||
if DEBUG >= 5: self.uops.print()
|
||||
if getenv("GRAPHUOPS"): self.uops.graph()
|
||||
self.uops:List[UOp] = UOpGraph(ast_to_uop(modified_ast, self.opts), self.opts).linearize(self.opts.extra_matcher)
|
||||
if DEBUG >= 5: print_uops(self.uops)
|
||||
if getenv("GRAPHUOPS"):
|
||||
from tinygrad.engine.graph import graph_uops
|
||||
graph_uops(self.uops)
|
||||
return self
|
||||
|
||||
def to_program(self, name_override:Optional[str]=None) -> Program:
|
||||
self.linearize()
|
||||
self.uops.linearize(self.opts.extra_matcher)
|
||||
src = self.opts.render(name:=to_function_name(ansiname:=(name_override if name_override is not None else self.name)), self.uops.uops)
|
||||
src = self.opts.render(name:=to_function_name(ansiname:=(name_override if name_override is not None else self.name)), self.uops)
|
||||
|
||||
if getenv("RUN_PROCESS_REPLAY"):
|
||||
table_name = f"process_replay_{getenv('GITHUB_RUN_ID', 'HEAD')}_{getenv('GITHUB_RUN_ATTEMPT')}"
|
||||
|
|
@ -757,5 +758,5 @@ class Kernel:
|
|||
mem_bytes = sum(max(cast(DType, x.src[0].dtype).itemsize * x.src[-1].arg.real_size() for x in group)
|
||||
for _, group in itertools.groupby([x for x in self.ast.parents if x.op in BUFFER_UOPS and x.src[0].op is UOps.DEFINE_GLOBAL],
|
||||
key=lambda x: (x.op, x.src[0].arg)))
|
||||
return Program(ansiname, src, self.opts.device, self.uops.uops, mem_estimate=mem_bytes,
|
||||
return Program(ansiname, src, self.opts.device, self.uops, mem_estimate=mem_bytes,
|
||||
global_size=[1,1,1] if self.opts.has_local else None, local_size=[1,1,1] if self.opts.has_local else None)
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
from __future__ import annotations
|
||||
from typing import Iterator, Optional, Tuple, Dict, List, Set, Union, cast, TYPE_CHECKING, Any, DefaultDict, Callable
|
||||
from typing import Optional, Tuple, Dict, List, Set, Union, cast, TYPE_CHECKING, Any, DefaultDict, Callable
|
||||
import functools, itertools, heapq, math, operator
|
||||
from collections import defaultdict
|
||||
from tinygrad.dtype import dtypes, PtrDType, ImageDType, DType
|
||||
|
|
@ -521,34 +521,14 @@ class UOpGraph:
|
|||
def __init__(self, sink:Union[UOp, List[UOp]], opts:Optional[Renderer]=None):
|
||||
self.sink: UOp = sink if isinstance(sink, UOp) else UOp(UOps.SINK, None, tuple(sink))
|
||||
assert self.sink.op is UOps.SINK, f"sink isn't sink, it's {self.sink.op}"
|
||||
# used by linearizer
|
||||
self._uops: Optional[List[UOp]] = None
|
||||
self.opts = opts
|
||||
self.folder = constant_folder + transcendental_folding({} if TRANSCENDENTAL >= 2 or opts is None else opts.code_for_op.keys())
|
||||
|
||||
def __reduce__(self): return self.__class__, (self.sink, self.opts)
|
||||
def __iter__(self) -> Iterator[UOp]: return iter(self.uops)
|
||||
def __getitem__(self, index) -> UOp: return self.uops[index]
|
||||
|
||||
@property
|
||||
def uops(self) -> List[UOp]:
|
||||
if self._uops is None: self.linearize()
|
||||
return cast(List[UOp], self._uops)
|
||||
|
||||
def graph(self):
|
||||
from tinygrad.engine.graph import graph_uops
|
||||
graph_uops(self.uops)
|
||||
|
||||
def print(self): print_uops(self.uops)
|
||||
|
||||
cnt = 0
|
||||
def linearize(self, extra_pm:Optional[PatternMatcher]=None, skip_check=False) -> UOpGraph:
|
||||
def linearize(self, extra_pm:Optional[PatternMatcher]=None, skip_check=False) -> List[UOp]:
|
||||
global acc_number
|
||||
acc_number = 0
|
||||
|
||||
# NOTE: relinearizering should be okay
|
||||
#assert self._uops is None, "already linearized"
|
||||
|
||||
# do graph rewrite
|
||||
sink = graph_rewrite(self.sink, self.folder)
|
||||
|
||||
|
|
@ -598,15 +578,15 @@ class UOpGraph:
|
|||
if in_degree[u] == 0: push(u)
|
||||
|
||||
scope_end: Dict[UOp, UOp] = {}
|
||||
self._uops = []
|
||||
_uops: List[UOp] = []
|
||||
while queue:
|
||||
p,x = heapq.heappop(queue)
|
||||
if DEBUG >= 7: print(f"{p:5d}",x)
|
||||
if x in scope_children: scope_end[x] = x
|
||||
if x.op is UOps.DEFINE_ACC:
|
||||
idx = min([self._uops.index(l) for l in x.src if l.op is UOps.RANGE])
|
||||
self._uops.insert(idx, x)
|
||||
else: self._uops.append(x)
|
||||
idx = min([_uops.index(l) for l in x.src if l.op is UOps.RANGE])
|
||||
_uops.insert(idx, x)
|
||||
else: _uops.append(x)
|
||||
for u, ss in scope_children.items():
|
||||
if x in ss:
|
||||
ss.remove(x)
|
||||
|
|
@ -616,24 +596,25 @@ class UOpGraph:
|
|||
if in_degree[u] == 0: push(u)
|
||||
|
||||
# end scopes in toposort order
|
||||
for u, x in scope_end.items(): self._uops.insert(self._uops.index(x)+1, UOp(END_FOR_UOP[u.op][1], None, (u,)))
|
||||
for u, x in scope_end.items(): _uops.insert(_uops.index(x)+1, UOp(END_FOR_UOP[u.op][1], None, (u,)))
|
||||
|
||||
# sanity checks (NOTE: these can cause things to be skipped in BEAM)
|
||||
if not skip_check:
|
||||
bad_ops = dedup([x.op for x in self._uops if x.op in {UOps.EXPAND, UOps.CONTRACT, UOps.REDUCE}])
|
||||
bad_ops = dedup([x.op for x in _uops if x.op in {UOps.EXPAND, UOps.CONTRACT, UOps.REDUCE}])
|
||||
try:
|
||||
type_verify(self.uops)
|
||||
assert self._uops[-1].op is UOps.SINK, f"didn't end with SINK, ended with {self._uops[-1]}"
|
||||
type_verify(_uops)
|
||||
assert _uops[-1].op is UOps.SINK, f"didn't end with SINK, ended with {_uops[-1]}"
|
||||
assert len(bad_ops) == 0, f"bad UOps left in list: {bad_ops}"
|
||||
# TODO: this should be enabled, and the valid clause should be removed
|
||||
# NOTE: multiple identical stores to DEFINE_LOCAL is okay
|
||||
assert len(all_stores := [x.src[0:2]+x.src[3:] for x in self._uops if x.op is UOps.STORE and x.src[0].op is not UOps.DEFINE_LOCAL]) \
|
||||
assert len(all_stores := [x.src[0:2]+x.src[3:] for x in _uops if x.op is UOps.STORE and x.src[0].op is not UOps.DEFINE_LOCAL]) \
|
||||
== len(dedup(all_stores)), "repeated stores in uops"
|
||||
except AssertionError as e:
|
||||
self.print()
|
||||
if not CI: self.graph()
|
||||
print_uops(_uops)
|
||||
if not CI:
|
||||
from tinygrad.engine.graph import graph_uops
|
||||
graph_uops(_uops)
|
||||
raise e
|
||||
|
||||
# strip the SINK
|
||||
self._uops = self._uops[:-1]
|
||||
return self
|
||||
return _uops[:-1]
|
||||
|
|
|
|||
|
|
@ -8,7 +8,6 @@ from tinygrad.helpers import prod, flatten, DEBUG, CACHELEVEL, diskcache_get, di
|
|||
from tinygrad.dtype import DType, ImageDType
|
||||
from tinygrad.codegen.kernel import Kernel
|
||||
from tinygrad.codegen.kernel import Opt, OptOps, KernelOptError
|
||||
from tinygrad.codegen.uopgraph import UOpGraph
|
||||
from tinygrad.tensor import Tensor
|
||||
from tinygrad.shape.symbolic import Variable, sym_infer
|
||||
from tinygrad.engine.realize import CompiledRunner
|
||||
|
|
@ -161,7 +160,7 @@ def beam_search(lin:Kernel, rawbufs:List[Buffer], amt:int, allow_test_size=True,
|
|||
try: tms = _time_program(p, lib, var_vals, rawbufs, early_stop=beam[0][1]*3 if len(beam) else 1.0, clear_l2=hasattr(dev, 'invalidate_caches'))
|
||||
except RuntimeError: continue # for runtime issues
|
||||
timed_lins.append((acted_lins[i], min(tms)))
|
||||
if BEAM_DEBUG > 1: print(f"{time.perf_counter() - st:7.2f}s: {i:5d} {len(cast(UOpGraph, p.uops).uops):5d} uops {compile_et*1e6:12.2f} us compile/{timed_lins[-1][1]*1e6:12.2f} us run {len(timed_lins):4d}/{len(acted_lins):4d} {timed_lins[-1][0].colored_shape()}") # noqa: E501
|
||||
if BEAM_DEBUG > 1: print(f"{time.perf_counter() - st:7.2f}s: {i:5d} {len(cast(List, p.uops)):5d} uops {compile_et*1e6:12.2f} us compile/{timed_lins[-1][1]*1e6:12.2f} us run {len(timed_lins):4d}/{len(acted_lins):4d} {timed_lins[-1][0].colored_shape()}") # noqa: E501
|
||||
elif DEBUG >= 2: print(f"\r{time.perf_counter() - st:7.2f}s: {timed_lins[-1][1]*1e6:12.2f} us {len(timed_lins):4d}/{len(acted_lins):4d} {timed_lins[-1][0].colored_shape()}\033[K", end="") # noqa: E501
|
||||
|
||||
# done
|
||||
|
|
|
|||
Loading…
Reference in New Issue