fix _to_const_val and const folding around it (#4017)

* fix _to_const_val and const folding around it

is_unrealized_contiguous_const is too strict and almost never hit if const is expanded.
suffice to check if there's no pad

* that test is folded

* test_const_folding
This commit is contained in:
chenyu
2024-03-31 13:09:23 -04:00
committed by GitHub
parent 2abb474d43
commit 7f859593b8
5 changed files with 67 additions and 8 deletions
+64
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@@ -0,0 +1,64 @@
import unittest
from tinygrad import Tensor
from tinygrad.ops import BufferOps
from tinygrad.engine.schedule import create_schedule
def _check_ast_count(desired_count:int, t:Tensor):
# NOTE: this has side effect because everything can be scheduled only once
asts = [s for s in create_schedule([t.lazydata]) if s.ast[0].op is BufferOps.STORE]
assert len(asts) == desired_count
class TestSimpleConstFolding(unittest.TestCase):
def test_add_literal_zero(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) + 0)
def test_add_tensor_zero(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) + Tensor.zeros(4))
def test_sub_literal_zero(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) - 0)
def test_sub_tensor_zero(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) - Tensor.zeros(4))
def test_mul_literal_zero(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) * 0)
def test_mul_tensor_zero(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) * Tensor.zeros(4))
def test_mul_literal_one(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) * 1)
def test_mul_tensor_one(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) * Tensor.ones(4))
def test_div_literal_one(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) / 1)
def test_div_tensor_one(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) / Tensor.ones(4))
# TODO: fix pow const folding
@unittest.expectedFailure
def test_pow_literal_zero(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) ** 0)
@unittest.expectedFailure
def test_pow_tensor_zero(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) ** Tensor.zeros(4))
@unittest.expectedFailure
def test_pow_literal_one(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) ** 1)
@unittest.expectedFailure
def test_pow_tensor_one(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) ** Tensor.ones(4))
class TestMovedConstFolding(unittest.TestCase):
def test_add_shrunk_zero(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) + Tensor.zeros(6).shrink(((1, 5),)))
def test_add_padded_zero(self):
# TODO: it's 1 now, this might be possible to fold
_check_ast_count(1, Tensor([1, 2, 3, 4]) + Tensor.zeros(2).pad(((1, 1),)))
def test_mul_shrunk_one(self):
_check_ast_count(0, Tensor([1, 2, 3, 4]) * Tensor.ones(6).shrink(((1, 5),)))
def test_add_padded_one(self):
_check_ast_count(1, Tensor([1, 2, 3, 4]) * Tensor.ones(2).pad(((1, 1),)))
-5
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@@ -338,11 +338,6 @@ class TestJit(unittest.TestCase):
assert isinstance(jf.jit_cache[1].prg, graph_t)
def test_jit_const_inputs(self):
@TinyJit
def f(x,y): return (x+y).realize()
for _ in range(5):
np.testing.assert_equal(f(Tensor.ones(3), Tensor.zeros(3)).numpy(), np.ones(3))
@TinyJit
def g(x,y,z): return (x+y+z).realize()
for i in range(5):
+1 -1
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@@ -83,7 +83,7 @@ class MultiLazyBuffer:
return functools.reduce(lambda x,y: x.e(BinaryOps.ADD, y), llbs)
# TODO: fix this
def is_unrealized_contiguous_const(self): return False
def is_unrealized_unpadded_const(self): return False
# passthroughs
def is_realized(self) -> bool: return all([lb.base.realized is not None for lb, r in zip(self.lbs, self.real) if r is True])
+1 -1
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@@ -91,7 +91,7 @@ class LazyBuffer:
return create_lazybuffer(self.device, ShapeTracker.from_shape(new_shape), dtype, UnaryOps.CAST, (dtype, bitcast), (self,))
def is_unrealized_const(self): return self.base.realized is None and self.base.op is LoadOps.CONST
def is_unrealized_contiguous_const(self): return self.base == self and self.base.realized is None and self.op is LoadOps.CONST
def is_unrealized_unpadded_const(self): return self.is_unrealized_const() and all(v.mask is None for v in self.st.views)
def _copy(self, device:str) -> LazyBuffer:
if (dstart:=self.device.split(":")[0]) in {"EXT", "DISK"} or (dstart in {"HSA", "CUDA"} and device.split(":")[0] == dstart):
+1 -1
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@@ -885,7 +885,7 @@ class Tensor:
def _to_const_val(self, x:Union[Tensor, ConstType]) -> Union[Tensor, ConstType]:
# TODO: update with multi
return x.lazydata.base.arg if isinstance(x, Tensor) and isinstance(x.lazydata, LazyBuffer) and x.lazydata.is_unrealized_contiguous_const() \
return x.lazydata.base.arg if isinstance(x, Tensor) and isinstance(x.lazydata, LazyBuffer) and x.lazydata.is_unrealized_unpadded_const() \
and not x.requires_grad and self._broadcasted(x)[0].shape == self.shape else x
def add(self, x:Union[Tensor, ConstType], reverse=False) -> Tensor: