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use the PatternMatcher to validate UOps type [run_process_replay] (#6583)
* use the PatternMatcher to validate UOps type [run_process_replay] * type check tests pass * DEFINE_VAR * fix precommit * fix tests * ptx * type check tests pass * ptx test * int64 * ptx barrier * delete old stuff
This commit is contained in:
George Hotz
@@ -50,6 +50,7 @@ class TestPTXFailures(unittest.TestCase):
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ret = _test_uop_result([], uops, local_size=[4, 1, 1])[0]
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np.testing.assert_equal(ret, [0, 1, 1, 1])
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@unittest.skip("not still valid?")
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def test_gated_store_with_if(self):
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a = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int), (), 0)
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gate_alu = (lidx0:=UOp(UOps.SPECIAL, dtypes.int, (), ('lidx0', 4))).ne(0)
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346
tinygrad/ops.py
346
tinygrad/ops.py
@@ -87,255 +87,41 @@ def identity_element(op:BinaryOps, dt:DType): return dtypes.as_const({BinaryOps.
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class UOps(FastEnum):
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# uops that aren't rendered
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SINK = auto()
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"""
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Holds `UOps.STORE`. SINK defines the AST for a Kernel.
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- **`dtype`**: `dtypes.void`
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- **`src`**: `Tuple[UOp, ...]`, Only global STOREs are allowed.
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- **`arg`**: `Optional[KernelInfo]`
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NOTE: `ScheduleItem` ASTs do not have the `KernelInfo` arg, `Kernel` inserts this to the SINK later.
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"""
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EXT = auto()
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"""
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Holds a single MetaOp. EXT UOps do not need a Kernel.
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- **`dtype`**: Output DType
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- **`src`**: `Tuple[]`
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- **`arg`**: (`MetaOps.CUSTOM | MetaOps.COPY | MetaOps.EMPTY | MetaOps.VIEW`, LazyBuffer arg)
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"""
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EXPAND = auto()
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CONTRACT = auto()
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SHAPETRACKER = auto()
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"""
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Defines the ShapeTracker for a buffer UOp `UOps.LOAD`, `UOps.STORE` or `UOps.VALID`.
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- **`dtype`**: `dtypes.void`
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- **`src`**: `Tuple[]`
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- **`arg`**: `ShapeTracker`
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"""
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SWIZZLE = auto()
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"""
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Swizzle inserts a movement op between a UOp and its children. Because movement ops (reshape, expand, shrink, permute, pad) are not allowed in an AST,
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the scheduler rewrites SWIZZLE by pushing its ShapeTracker through reduceops or elementwise ops to the edges of the graph.
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This movement op can push up to the LOADs and/or down to the STOREs.
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Example:
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```python
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a = Tensor.empty(32, 32)
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first_reduce = a.sum()
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output = (a + first_reduce).sum()
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```
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`first_reduce` must broadcast to `(32, 32)` before ADD. We UOp this as:
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```
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UOp(UOps.ALU, dtypes.int, arg=BinaryOps.ADD, src=(
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UOp(UOps.SWIZZLE, dtypes.int, arg=ShapeTracker(views=(View(shape=(32, 32), strides=(0, 0), offset=0, mask=None, contiguous=False),)), src=(
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UOp(UOps.REDUCE_AXIS, dtypes.int, arg=(BinaryOps.ADD, (0, 1)), src=(
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UOp(UOps.LOAD, dtypes.int, arg=None, src=(
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x3:=UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int), arg=1, src=()),
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UOp(UOps.SHAPETRACKER, dtypes.void, arg=ShapeTracker(views=(View(shape=(32, 32), strides=(32, 1), offset=0, mask=None, contiguous=True),)), src=()),)),)),)),
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UOp(UOps.LOAD, dtypes.int, arg=None, src=(
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x3,
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UOp(UOps.SHAPETRACKER, dtypes.void, arg=ShapeTracker(views=(View(shape=(32, 32), strides=(32, 1), offset=0, mask=None, contiguous=True),)), src=()),)),))
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```
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The scheduler rewrites this by pushing the expand in SWIZZLE through the reduce, to the LOAD:
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```diff
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UOp(UOps.ALU, dtypes.int, arg=BinaryOps.ADD, src=(
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- UOp(UOps.SWIZZLE, dtypes.int, arg=ShapeTracker(views=(View(shape=(32, 32), strides=(0, 0), offset=0, mask=None, contiguous=False),)), src=(
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- UOp(UOps.REDUCE_AXIS, dtypes.int, arg=(BinaryOps.ADD, (0, 1)), src=(
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- UOp(UOps.LOAD, dtypes.int, arg=None, src=(
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- x3:=UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int), arg=1, src=()),
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- UOp(UOps.SHAPETRACKER, dtypes.void, arg=ShapeTracker(views=(View(shape=(32, 32), strides=(32, 1), offset=0, mask=None, contiguous=True),)), src=()),)),)),)),
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+ UOp(UOps.REDUCE_AXIS, dtypes.int, arg=(BinaryOps.ADD, (2, 3)), src=(
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+ UOp(UOps.LOAD, dtypes.int, arg=None, src=(
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+ x2:=UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int), arg=1, src=()),
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+ UOp(UOps.SHAPETRACKER, dtypes.void, arg=ShapeTracker(views=(View(shape=(32, 32, 32, 32), strides=(0, 0, 32, 1), offset=0, mask=None, contiguous=False),)), src=()),)),)),
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UOp(UOps.LOAD, dtypes.int, arg=None, src=(
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- x3,
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- UOp(UOps.SHAPETRACKER, dtypes.void, arg=ShapeTracker(views=(View(shape=(32, 32), strides=(32, 1), offset=0, mask=None, contiguous=True),)), src=()),)),))
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+ x2,
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+ UOp(UOps.SHAPETRACKER, dtypes.void, arg=ShapeTracker(views=(View(shape=(32, 32, 1, 1), strides=(32, 1, 0, 0), offset=0, mask=None, contiguous=True),)), src=()),)),))
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```
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NOTE: Pushing a SWIZZLE through a reduce changes the axis.
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NOTE: Pushing a SWIZZLE changes the output shape of that UOp. We have to reshape every other adjacent node. eg. reshape of the second LOAD to `(32, 32, 1, 1)` above.
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- **`dtype`**: Output DType
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- **`src`**: `Tuple[UOp]`, a single UOp to swizzle.
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- **`arg`**: ShapeTracker
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""" # noqa E501
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DEFINE_GLOBAL = auto()
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DEFINE_VAR = auto()
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DEFINE_LOCAL = auto()
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DEFINE_ACC = auto()
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VCONST = auto()
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CONST = auto()
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"""
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Defines a single scalar constant value.
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- **`dtype`**: The scalar DType of the value.
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- **`src`**: `Tuple[]`
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- **`arg`**: The value.
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"""
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VALID = auto()
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"""
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This is the first argument in a masked CONST.
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- **`dtype`**: `dtypes.bool`
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- **`src`**:
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`Tuple[UOp]`
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- UOps.SHAPETRACKER
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- **`arg`**: `None`
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A masked CONST is defined as `valid.where(value, 0)`.
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"""
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SPECIAL = auto()
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NOOP = auto()
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GEP = auto()
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# math ops
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CAST = auto()
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"""
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- **`dtype`**: The casted scalar DType
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- **`src`**: `Tuple[UOp]`
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- **`arg`**: `None`
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"""
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BITCAST = auto()
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"""
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- **`dtype`**: The bitcasted scalar DType
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- **`src`**: `Tuple[UOp]`
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- **`arg`**: `None`
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"""
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VECTORIZE = auto()
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"""
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- **`dtype`**: The upcasted vector DType
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- **`src`**: `Tuple[UOp, ...]`
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- **`arg`**: `None`
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NOTE: Length of sources must match `dtype.count`
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"""
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ALU = auto()
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"""
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- **`dtype`**: Output DType
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- **`src`**: `Tuple[UOp] | Tuple[UOp, UOp] | Tuple[UOp, UOp, UOp]`
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- **`arg`**: `UnaryOps | BinaryOps | TernaryOps`
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"""
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REDUCE = auto()
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REDUCE_AXIS = auto()
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"""
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- **`dtype`**: Output DType
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- **`src`**: Input to reduce `Tuple[UOp]`
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- **`arg`**: `(BinaryOps.ADD | BinaryOps.MUL | BinaryOps.MAX, Tuple[int, ...])`
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"""
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WMMA = auto()
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# memory/assignment ops
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LOAD = auto()
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"""
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- **`dtype`**: Output DType
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- **`src`**:
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The scheduler and Kernel create LOADs with a SHAPETRACKER uop in src.
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- Normal LOAD: `Tuple[UOp, UOp]`
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- Buffer UOp `UOps.DEFINE_GLOBAL`.
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- SHAPETRACKER UOp.
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- Local LOAD: `Tuple[UOp, UOp, UOp]`
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- Buffer UOp `UOps.DEFINE_LOCAL`.
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- SHAPETRACKER UOp.
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- Local UOps.STORE to the same local buffer. We will barrier this later.
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The Lowerer replaces the SHAPETRACKER with an indexing uop and gates the LOAD if needed.
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- Normal LOAD: `Tuple[UOp, UOp]`
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- Buffer UOp `UOps.DEFINE_GLOBAL`.
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- Indexing UOp, can only return `dtypes.int32`.
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- Gated LOAD: `Tuple[UOp, UOp, UOp, UOp]`
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- Buffer UOp `UOps.DEFINE_GLOBAL`.
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- Indexing UOp, can only return `dtypes.int32`.
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- Gate UOp, can only return `dtypes.bool`.
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- Value if gate is `False`, can only be a `UOps.CONST` with arg 0, 0.0 or `False`.
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- Barriered LOAD: `Tuple[UOp, UOp, UOp, UOp]`
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- Buffer UOp `UOps.DEFINE_LOCAL`.
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- Indexing UOp, can only return `dtypes.int32`.
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- Gate UOp, can only return `dtypes.bool`.
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- Barrier UOp `UOps.BARRIER`.
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- **`arg`**: `None`
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"""
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STORE = auto()
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"""
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- **`dtype`**: `dtypes.void`
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- **`src`**:
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Similar to LOAD, the scheduler and Kernel create STOREs with a SHAPETRACKER uop in src:
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- Buffer UOp `UOps.DEFINE_GLOBAL` or `UOps.DEFINE_LOCAL`.
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- SHAPETRACKER UOp.
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- Value to store.
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The Lowerer replaces the SHAPETRACKER with an indexing uop and gates the STORE if needed.
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- Normal STORE: `Tuple[UOp, UOp, UOp]`
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- Buffer UOp `UOps.DEFINE_GLOBAL` or `UOps.DEFINE_LOCAL`.
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- Indexing UOp, can only return `dtypes.int32`.
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- Value to store.
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- Gated STORE: `Tuple[UOp, UOp, UOp, UOp]`
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- Buffer UOp `UOps.DEFINE_GLOBAL` or `UOps.DEFINE_LOCAL`.
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- Indexing UOp, can only return `dtypes.int32`.
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- Value to store.
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- Gate UOp, can only return `dtypes.bool`. We rewrite this to an IF block in the end.
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- **`arg`**: `None`
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"""
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ASSIGN = auto()
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# control flow ops
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BARRIER = auto()
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"""
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Inserts a warp sync between local stores and local loads.
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- **`dtype`**: `dtypes.void`
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- **`src`**: `Tuple[UOp, ...]`, Only local STOREs are allowed.
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- **`arg`**: `None`
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"""
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IF = auto()
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"""
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Gates a single STORE to global memory. The IF block could also contain additional UOps the STORE depends on.
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- **`dtype`**: `dtypes.void`
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- **`src`**:
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`Tuple[UOp, UOp]`
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- Gate UOp, can only return `dtypes.bool`
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- The second UOp starts the gate block; All of its children are gated until the final STORE.
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- **`arg`**: `None`
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For example, a local reduce must only run on one thread.
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The STORE's IF gate:
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```
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UOp(UOps.IF, src=(
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UOp(UOps.ALU, dtypes.bool, (...), BinaryOps.CMPNE),
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UOp(UOps.BARRIER, dtypes.void, (...))))
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```
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The kernel:
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```
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barrier(CLK_LOCAL_MEM_FENCE);
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if (lidx0!=1) {
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int acc1 = 0;
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for (int ridx1 = 0; ridx1 < 16; ridx1++) {
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int val1 = temp1[ridx1];
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acc1 = (acc1+val1);
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}
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data0[0] = acc1;
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}
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```
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"""
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RANGE = auto()
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# ops that are not graph nodes
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ENDRANGE = auto()
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ENDIF = auto()
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@@ -537,52 +323,6 @@ def uop_alu_resolve(u:UOp) -> sint:
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if u.op is UOps.ALU: return exec_alu(u.arg, u.dtype, tuple(map(uop_alu_resolve, u.src)))
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raise RuntimeError(f"ALU resolve fail @ {u.op}")
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# ***** uop type spec *****
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def type_verify(uops):
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for u in uops:
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uop, arg, src, dtype = u.op, u.arg, u.src, u.dtype
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if uop is UOps.DEFINE_LOCAL: assert isinstance(dtype, PtrDType), f"invalid dtype for local buffer {dtype}"
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if uop is UOps.DEFINE_GLOBAL: assert isinstance(dtype, (PtrDType, ImageDType)), f"invalid dtype for global buffer {dtype}"
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if isinstance(dtype, ImageDType): assert uop is UOps.DEFINE_GLOBAL, f"{uop} can't be image"
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if uop is UOps.SHAPETRACKER: assert len(src) == 0, f"SHAPETRACKER must only define a ShapeTracker arg {uop}"
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if uop is UOps.REDUCE_AXIS: assert isinstance(arg, tuple) and len(arg) == 2 and arg[0] in BinaryOps, f"invalid arg for REDUCE_AXIS {arg}"
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if uop in {UOps.CONST, UOps.DEFINE_ACC}:
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if uop is UOps.CONST:
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assert dtype is not None and dtype == dtype.scalar(), f"consts must be scalar, got {dtype}"
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# TODO: intermediate CONST of Variable is DEFINE_VAR
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assert (isinstance(arg, Variable) and u.src) or (type(arg) is type(dtypes.as_const(arg, dtype))), f"type of {arg=} does not match {dtype}"
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if uop is UOps.DEFINE_ACC: assert dtype != dtypes.void and src[0].dtype == dtype, f"dtype mismatch {src[0].dtype=} != {dtype=}"
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if uop in {UOps.CAST, UOps.BITCAST, UOps.VECTORIZE}: assert arg is None and dtype != dtypes.void # type is the output type, not an arg
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if uop is UOps.CAST: assert dtype.count == 1 and len(src) == 1
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if uop is UOps.VECTORIZE:
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assert dtype.count > 1 and len(src) == dtype.count, f"dtype vectorization mismatch {dtype.count=} != {len(src)=}"
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assert all(dtype == x.dtype.vec(len(src)) for x in src), f"{dtype=} must be {src[0].dtype.vec(len(src))}"
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if uop is UOps.LOAD and len(src) > 3 and src[3].op is UOps.ALU: assert src[3].dtype == dtypes.bool and src[2].dtype == dtype
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if uop is UOps.GEP: assert dtype == src[0].dtype.scalar(), f"GEP of {src[0].dtype=} should be {src[0].dtype.scalar()} != {dtype}"
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if uop is UOps.IF: assert dtype == dtypes.void and len(src) == 2 and src[0].dtype == dtypes.bool
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if uop is UOps.VALID: assert dtype == dtypes.bool and len(src) == 1 and src[0].op is UOps.SHAPETRACKER and arg is None
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if uop is UOps.STORE:
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assert dtype == dtypes.void, f"{uop} dtype must be void, got {dtype}"
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if len(src) == 4: assert src[3].dtype == dtypes.bool or src[3].op is UOps.IF, f"bad gate {src[3]}"
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if uop is UOps.ALU:
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if arg in UnaryOps: assert dtype == src[0].dtype, f"{arg} dtype mismatch {dtype=} != {src[0].dtype=}"
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elif arg in {BinaryOps.CMPLT, BinaryOps.CMPNE}:
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bd = dtypes.bool.vec(dtype.count) if dtype.count != 1 else dtypes.bool
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assert dtype == bd, f"{arg} output dtype mismatch {dtype=} != {bd=}"
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assert src[0].dtype == src[1].dtype, f"{arg} dtype mismatch {dtype=} != {src[0].dtype=} != {src[1].dtype=}"
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elif arg is BinaryOps.IDIV:
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assert dtypes.is_int(src[0].dtype) and dtypes.is_int(src[1].dtype), f"input dtype is not int {src[0].dtype=}, {src[1].dtype=}"
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assert dtypes.is_int(dtype), f"output dtype is not int {dtype=}"
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elif arg in {BinaryOps.SHL, BinaryOps.SHR}:
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# the distance to shift isn't typechecked
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assert dtype == src[0].dtype, f"{arg} dtype mismatch {dtype=} != {src[0].dtype=}"
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elif arg in BinaryOps: assert dtype == src[0].dtype == src[1].dtype, f"{arg} dtype mismatch {dtype=} != {src[0].dtype=} != {src[1].dtype=}"
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elif arg == TernaryOps.WHERE:
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bd = dtypes.bool.vec(dtype.count) if dtype.count != 1 else dtypes.bool
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assert src[0].dtype == bd, f"{arg} selector dtype mismatch {src[0].dtype=} != {bd}"
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assert dtype == src[1].dtype == src[2].dtype, f"{arg} choice dtype mismatch {dtype=} != {src[1].dtype=} != {src[2].dtype=}"
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# ***** uop helpers *****
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def print_uops(uops:List[UOp]):
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@@ -806,3 +546,81 @@ class RewriteContext:
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def graph_rewrite(sink:UOp, pm:PatternMatcher) -> UOp:
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if TRACK_MATCH_STATS >= 2: contexts.append(TrackedRewriteContext(f"{(l:=get_location())[0].split('/')[-1]}:{l[1]}", sink, []))
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return RewriteContext(pm).rewrite(sink)
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# ***** uop type spec *****
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# this is the matcher for the final rendered UOps
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# matcher functions returns True or False (or None to not match)
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spec = PatternMatcher([(x, functools.partial(lambda fxn,**kw: UOp.const(dtypes.bool, r) if (r:=fxn(**kw)) is not None else None, y)) for (x,y) in [
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(UPat(UOps.DEFINE_GLOBAL, name="x"), lambda x: isinstance(x.dtype, (PtrDType, ImageDType))),
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(UPat(UOps.DEFINE_LOCAL, name="x"), lambda x: isinstance(x.dtype, PtrDType)),
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(UPat(UOps.DEFINE_ACC, src=(UPat(UOps.CONST, name="c"),), name="x", allow_any_len=True),
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lambda x,c: all(y.op is UOps.RANGE for y in x.src[1:]) and c.dtype == x.dtype),
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(UPat(UOps.DEFINE_VAR, src=(), name="x"), lambda x: isinstance(x.arg[1], UOp) and isinstance(x.arg[2], UOp)),
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(UPat(UOps.RANGE, src=(UPat(name="x"), UPat(name="y")), name="rng"), lambda rng,x,y: rng.dtype == x.dtype == y.dtype),
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(UPat(UOps.SPECIAL, src=()), lambda: True),
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# TODO: confirm the args of both of these are shapetrackers
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(UPat(UOps.SHAPETRACKER, src=()), lambda: True),
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(UPat(UOps.SWIZZLE, src=(UPat(),)), lambda: True),
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(UPat(UOps.CONST, name="x"),
|
||||
lambda x: x.dtype == x.dtype.scalar() and (isinstance(x.arg, Variable) and x.src) or (type(x.arg) is type(dtypes.as_const(x.arg, x.dtype)))),
|
||||
|
||||
# early LOAD has a <buf, shapetracker, store?>
|
||||
(UPat(UOps.LOAD, src=(UPat((UOps.DEFINE_GLOBAL, UOps.DEFINE_LOCAL)), UPat(UOps.SHAPETRACKER))), lambda: True),
|
||||
(UPat(UOps.LOAD, src=(UPat((UOps.DEFINE_GLOBAL, UOps.DEFINE_LOCAL)), UPat(UOps.SHAPETRACKER), UPat(UOps.STORE))), lambda: True),
|
||||
|
||||
# LOAD takes a <buf, idx, alt?, gate?, barrier?>
|
||||
(UPat(UOps.LOAD, src=(UPat((UOps.DEFINE_GLOBAL, UOps.DEFINE_LOCAL)), UPat())), lambda: True),
|
||||
(UPat(UOps.LOAD, src=(UPat((UOps.DEFINE_GLOBAL, UOps.DEFINE_LOCAL)), UPat(), UPat((UOps.IF, UOps.BARRIER)))), lambda: True),
|
||||
(UPat(UOps.LOAD, src=(UPat((UOps.DEFINE_GLOBAL, UOps.DEFINE_LOCAL)), UPat(), UPat(name="alt"), UPat(dtype=dtypes.bool)), name="ld"),
|
||||
lambda ld,alt: ld.dtype == alt.dtype),
|
||||
|
||||
# STORE takes a <buf, idx, val, gate?>
|
||||
(UPat(UOps.STORE, dtype=dtypes.void, src=(UPat((UOps.DEFINE_GLOBAL, UOps.DEFINE_LOCAL)), UPat(), UPat())), lambda: True),
|
||||
(UPat(UOps.STORE, dtype=dtypes.void, src=(UPat((UOps.DEFINE_GLOBAL, UOps.DEFINE_LOCAL)), UPat(), UPat(), UPat(dtype=dtypes.bool))), lambda: True),
|
||||
|
||||
# most ALUs have all matching dtypes, except CMPLT, CMPNE, and WHERE
|
||||
(UPat(UOps.ALU, name="w", src=(UPat(dtype=dtypes.bool), UPat(name="x"), UPat(name="y")), arg=TernaryOps.WHERE),
|
||||
lambda w,x,y: w.dtype == x.dtype == y.dtype),
|
||||
(UPat(UOps.ALU, dtype=dtypes.bool, src=(UPat(name="x"), UPat(name="y")), arg=BinaryOps.CMPLT), lambda x,y: x.dtype == y.dtype),
|
||||
(UPat(UOps.ALU, dtype=dtypes.bool, src=(UPat(name="x"), UPat(name="y")), arg=BinaryOps.CMPNE), lambda x,y: x.dtype == y.dtype),
|
||||
# and SHL/SHR, the shift distance is an int
|
||||
(UPat(UOps.ALU, src=(UPat(name="x"), UPat()), name="alu", arg=BinaryOps.SHL), lambda alu,x: alu.dtype == x.dtype),
|
||||
(UPat(UOps.ALU, src=(UPat(name="x"), UPat()), name="alu", arg=BinaryOps.SHR), lambda alu,x: alu.dtype == x.dtype),
|
||||
(UPat(UOps.ALU, arg=BinaryOps.IDIV, name="x"), lambda x: None if dtypes.is_int(x.dtype) else False),
|
||||
(UPat(UOps.ALU, name="x"), lambda x: all(x.dtype == y.dtype for y in x.src)),
|
||||
|
||||
(UPat(UOps.ASSIGN, src=(UPat(UOps.DEFINE_ACC), UPat())), lambda: True),
|
||||
(UPat(UOps.ENDRANGE, dtype=dtypes.void, src=(UPat(UOps.RANGE),)), lambda: True),
|
||||
|
||||
# early WMMA has 2 args, <x, w>
|
||||
(UPat(UOps.WMMA, src=(UPat(), UPat())), lambda: True),
|
||||
# late WMMA has 3 args, <x, w, acc>
|
||||
(UPat(UOps.WMMA, src=(UPat(), UPat(), UPat())), lambda: True),
|
||||
|
||||
# if has a <gate, barrier>
|
||||
(UPat(UOps.IF, dtype=dtypes.void, src=(UPat(), UPat(UOps.BARRIER))), lambda: True),
|
||||
(UPat(UOps.ENDIF, dtype=dtypes.void, src=(UPat(UOps.IF),)), lambda: True),
|
||||
|
||||
(UPat(UOps.REDUCE_AXIS, name="x"), lambda x: isinstance(x.arg, tuple) and len(x.arg) == 2 and x.arg[0] in BinaryOps),
|
||||
(UPat(UOps.GEP, src=(UPat(name="src"),), name="gep"), lambda gep,src: gep.dtype == src.dtype.scalar()),
|
||||
(UPat(UOps.VECTORIZE, name="x"), lambda x: len(x.src)>1 and len(x.src) == x.dtype.count and all(x.dtype == y.dtype.vec(len(x.src)) for y in x.src)),
|
||||
(UPat((UOps.BITCAST, UOps.CAST), src=(UPat(),), name="x"), lambda x: x.arg is None and x.dtype.count == 1),
|
||||
(UPat(UOps.BARRIER, dtypes.void, src=UPat(UOps.STORE, src=(UPat(UOps.DEFINE_LOCAL),), allow_any_len=True)), lambda: True),
|
||||
|
||||
# NOTE: for testing, we let sinks be anything
|
||||
#(UPat(UOps.SINK, src=UPat(UOps.STORE)), lambda: True),
|
||||
(UPat(UOps.SINK), lambda: True),
|
||||
|
||||
# PTX LOAD/STORE
|
||||
(UPat((UOps.LOAD, UOps.STORE), src=(UPat(dtype=dtypes.int64),), allow_any_len=True), lambda: True),
|
||||
(UPat(UOps.BARRIER, dtypes.void, src=UPat(UOps.STORE, src=(UPat(dtype=dtypes.int64),), allow_any_len=True)), lambda: True),
|
||||
]])
|
||||
|
||||
def type_verify(uops:List[UOp]):
|
||||
for u in uops:
|
||||
chk = spec.rewrite(u)
|
||||
assert chk is not None and chk.arg is True, f"UOp verification failed on {u.op} {u.dtype} {len(u.src)} {[x.op for x in u.src]} {u.arg}"
|
||||
|
||||
Reference in New Issue
Block a user