Files
2026-10-20 03:55:45 +00:00

159 lines
5.8 KiB
Python

import unittest, threading, functools
from tinygrad import Tensor, UOp, Context
from tinygrad.device import Device, Buffer, BufferSpec
from tinygrad.dtype import AddrSpace, dtypes
from tinygrad.engine.realize import run_linear
from tinygrad.uop.ops import Ops, KernelInfo
from tinygrad.renderer.isa.x86 import X86Renderer
def wait_loop_kernel(C:UOp, N=10) -> UOp:
# a void RANGE is a bound-less loop header: a jump target with no induction variable.
# the compare and conditional backedge are expanded by the renderers from RANGE/BACKEDGE
l = UOp.loop(0)
i = UOp.placeholder((1,), dtypes.int, 0, addrspace=AddrSpace.REG)
# i = 0
i = i.after(i[0].store(0))
# i + 1, read loop-carried through after(l)
inc = i.after(l)[0].load() + 1
# i = inc; BACKEDGE(store, l, cond): loop again while inc < N (do-while)
# NOTE: the cond uses the computed value, not a reload of the register
st = i[0].store(inc)
i = i.after(st.backedge(l, inc < N))
return C[0].store(i[0].load()).sink(arg=KernelInfo(name="wait_loop"))
def nested_loop_kernel(C:UOp) -> UOp:
r = UOp.range(4, 0)
l = UOp.loop(1)
i = UOp.placeholder((1,), dtypes.int, 0, addrspace=AddrSpace.REG)
i = i.after(i[0].store(0))
inc = i.after(l, r)[0].load() + 1
st = i[0].store(inc)
lend = st.backedge(l, inc < (r.cast(dtypes.int)+1)*3)
i = i.after(lend.end(r))
return C[0].store(i[0].load()).sink(arg=KernelInfo(name="nested_loop", opts_to_apply=()))
def pressure_loop_kernel(C:UOp, n=13) -> UOp:
vs = [C[j+1].load() for j in range(n)]
l = UOp.loop(0)
i = UOp.placeholder((1,), dtypes.int, 0, addrspace=AddrSpace.REG)
i = i.after(i[0].store(0))
inc = i.after(l)[0].load() + 1
st = i[0].store(inc)
i = i.after(st.backedge(l, inc < sum(v & inc for v in vs)))
return C[0].store(i[0].load()).sink(arg=KernelInfo(name="pressure_loop", opts_to_apply=()))
def wait_ext_kernel() -> UOp:
sig = UOp.param(0, dtypes.int, 1, volatile=True)
l = UOp.loop(0)
v = sig.after(l)[0].load()
e = v.backedge(l, v < 1)
return e.sink(arg=KernelInfo(name="wait_ext"))
def two_loops_kernel(C:UOp) -> UOp:
# two sequential loops on the same counter: ++ until 10, then ++ until 25
l1, l2 = UOp.loop(0), UOp.loop(1)
i = UOp.placeholder((1,), dtypes.int, 0, addrspace=AddrSpace.REG)
i = i.after(i[0].store(0))
inc1 = i.after(l1)[0].load() + 1
i = i.after(i[0].store(inc1).backedge(l1, inc1 < 10))
inc2 = i.after(l2)[0].load() + 1
i = i.after(i[0].store(inc2).backedge(l2, inc2 < 25))
return C[0].store(i[0].load()).sink(arg=KernelInfo(name="two_loops", opts_to_apply=()))
def loop_in_loop_kernel(C:UOp) -> UOp:
# outer loop while i < 12, inner loop increments until i % 4 == 0 -> 12
l1, l2 = UOp.loop(0), UOp.loop(1)
i = UOp.placeholder((1,), dtypes.int, 0, addrspace=AddrSpace.REG)
i = i.after(i[0].store(0))
inc = i.after(l1, l2)[0].load() + 1
st = i[0].store(inc)
# the outer BACKEDGE closes the inner loop, and its cond reloads the register after the inner loop
e2 = st.backedge(l2, inc % 4 != 0)
oc = i.after(e2)[0].load()
i = i.after(e2.backedge(l1, oc < 12))
return C[0].store(i[0].load()).sink(arg=KernelInfo(name="loop_in_loop", opts_to_apply=()))
class TestWaitLoop(unittest.TestCase):
def test_wait_loop(self):
c = Tensor.empty(1, dtype=dtypes.int)
c = Tensor.custom_kernel(c, fxn=wait_loop_kernel)[0]
c.realize()
self.assertEqual(c.item(), 10)
def test_nested_loop_in_range(self):
c = Tensor.empty(1, dtype=dtypes.int)
c = Tensor.custom_kernel(c, fxn=nested_loop_kernel)[0]
c.realize()
self.assertEqual(c.item(), 12)
def test_two_sequential_loops(self):
c = Tensor.empty(1, dtype=dtypes.int)
c = Tensor.custom_kernel(c, fxn=two_loops_kernel)[0]
c.realize()
self.assertEqual(c.item(), 25)
# TODO: x86's lower_loop builds an Ops.IF node after regalloc, which fails spec_full
@(unittest.expectedFailure if isinstance(Device[Device.DEFAULT].renderer, X86Renderer) else lambda f: f)
def test_wait_loop_spec(self):
c = Tensor.custom_kernel(Tensor.empty(1, dtype=dtypes.int), fxn=functools.partial(wait_loop_kernel, N=7))[0]
with Context(SPEC=2): c.realize()
self.assertEqual(c.item(), 7)
@unittest.skipIf(isinstance(Device[Device.DEFAULT].renderer, X86Renderer), "TODO: do-while loop under register pressure segfaults on x86")
def test_loop_carried_registers(self):
# more loads live across the backedge than any register file (x86 15 gprs, arm64 31, sass 255, rdna3 256 vgprs)
c = Tensor.custom_kernel(Tensor.ones(301, dtype=dtypes.int), fxn=functools.partial(pressure_loop_kernel, n=300))[0]
self.assertEqual(c[0].item(), 2)
def test_register_pressure_loop(self):
c = Tensor.zeros(16, dtype=dtypes.int).contiguous()
c = Tensor.custom_kernel(c, fxn=pressure_loop_kernel)[0]
c.realize()
self.assertEqual(c[0].item(), 1)
def test_loop_in_loop(self):
c = Tensor.empty(1, dtype=dtypes.int)
c = Tensor.custom_kernel(c, fxn=loop_in_loop_kernel)[0]
c.realize()
self.assertEqual(c.item(), 12)
@unittest.skipUnless(Device.DEFAULT in ("CPU", "AMD", "NV"), "need proper uncached=True handling")
class TestVolatileLoops(unittest.TestCase):
def test_async_wait_ext(self):
sig_buf = Buffer(Device.DEFAULT, 4, options=BufferSpec(host=True, uncached=True, cpu_access=True), preallocate=True)
try: sig_view = sig_buf.host.view(fmt='i')
except (AssertionError, NotImplementedError): self.skipTest(f"{Device.DEFAULT} does not support host-visible buffers")
sig_view[0] = 0
def set_signal():
threading.Event().wait(0.3)
sig_view[0] = 1
sync = threading.Thread(target=set_signal, daemon=True)
sync.start()
run_linear(UOp(Ops.LINEAR, src=(wait_ext_kernel().call(UOp.from_buffer(sig_buf, dtypes.int32)),)), wait=True)
sync.join(timeout=3)
if __name__ == "__main__": unittest.main()