Add support for multiple top level for loops #52

oulgen · 2025-05-17T21:13:10Z

Stack from ghstack (oldest at bottom):

-> Add support for multiple top level for loops #52

[ghstack-poisoned]

ghstack-source-id: f1837ad Pull Request resolved: #52

[ghstack-poisoned]

ghstack-source-id: 056d55f Pull Request resolved: #52

drisspg · 2025-05-18T17:19:05Z

test/test_loops.py

+                x0[tile] += c0
+            for tile in hl.tile(x1.size()):
+                x1[tile] += c1
+            for tile in hl.tile(x2.size()):


what is codgened if one of the other loops happens to have the same iteration bounds as a previous?

still the same thing, i didnt do any fusion, that can be a good next step for me to do as a follow up

jansel · 2025-05-18T22:13:46Z

helion/_compiler/device_function.py

@@ -170,7 +173,9 @@ def merge_variable_names(self, a: str, b: str) -> None:
            self._variable_renames[n] = name_group

    def set_grid_expr(self, grid_expr: ast.AST) -> None:
-        assert self.grid_expr is None, "grid_expr already set"
+        if not self.shared_pid:


Can we refactor the existing grid handling to reuse some of the new more general code?

What do you mean by "more general code"?

The old stuff uses self.grid_expr which only supports one grid.

The new stuff supports a list of grids, and self.grid_expr will be set to the last grid (and incorrect if ever used with multiple grids active).

This seems like duplicate logic, where we should delete self.grid_expr and use the new structure.

jansel · 2025-05-18T22:15:04Z

helion/_compiler/device_ir.py

-            raise AssertionError("No root graph")
+        if root_id >= len(self.root_ids):
+            raise AssertionError("Invalid root graph")
+        rid = self.root_ids[root_id]


Is this extra layer of indirection actually needed? Could just use the graph ID directly?

jansel · 2025-05-18T22:19:51Z

helion/_compiler/tile_strategy.py

 from .program_id import VirtualProgramIDs
 from .variable_origin import BlockSizeOrigin
+from helion import exc


Suggested change

from helion import exc

from .. import exc

jansel · 2025-05-18T22:21:50Z

helion/_compiler/tile_strategy.py

+            # TODO(oulgen): Support this
+            raise exc.MultipleDeviceLoopBlocks


Maybe we could support this by having the other 1D PID strategies (all but one of them) take shared_pid_var as an arg (which defaults to tl.program_id(0)).

I was thinking of doing this on a follow up PR, would you prefer me to do it here?

jansel · 2025-05-18T22:23:06Z

helion/_compiler/tile_strategy.py

-    def select_pid_strategy(self) -> ProgramIDs:
+    def select_pid_strategy(self, state: CodegenState) -> ProgramIDs:
+        if (shared_pid := state.device_function.shared_pid) is not None:
+            return shared_pid
        if self.l2_grouping > 1:
            return L2GroupingProgramIDs(group_size=self.l2_grouping)
        if 1 < len(self.block_indices) <= 3 and self.fn.config.use_yz_grid:


Are we updating the ConfigSpec so use_yz_grid is removed from the config?

jansel · 2025-05-18T22:24:47Z

helion/exc.py

-class MultipleDeviceLoops(BaseError):
-    message = "Multiple grid loops are not allowed. Support for this may be added in the future."
+class MultipleDeviceLoopBlocks(BaseError):
+    message = "Multiple blocks for multiple top level grid loops are not yet allowed. Support for this may be added in the future."


IMO we should support this. It should be a small change to VirtualProgramIDs to use shared_pid_var.

ditto on the follow up PR, but I can do it here if you prefer that

For both this and the above, if it is easy let's do it here. If it takes more work a followup is fine.

jansel · 2025-05-18T22:25:28Z

helion/_compiler/tile_strategy.py

-    def select_pid_strategy(self) -> ProgramIDs:
+    def select_pid_strategy(self, state: CodegenState) -> ProgramIDs:
+        if (shared_pid := state.device_function.shared_pid) is not None:
+            return shared_pid
        if self.l2_grouping > 1:
            return L2GroupingProgramIDs(group_size=self.l2_grouping)


Does this work with the l2 grouping stuff? (It should be possible since L2GroupingProgramIDs only uses a 1D pid.)

helion/_compiler/device_ir.py

jansel · 2025-05-24T03:57:46Z

One other thought: we should introduce a check for data dependency between the loops. If loop 1 writes to X, loop 2 cannot read from X -- and we should error in that case.

oulgen · 2025-05-24T06:53:36Z

One other thought: we should introduce a check for data dependency between the loops. If loop 1 writes to X, loop 2 cannot read from X -- and we should error in that case.

Sounds good. I'll come back and fix this PR once i finish the fbcode demo.

[ghstack-poisoned]

ghstack-source-id: 1e31557 Pull Request resolved: #52

oulgen · 2025-06-08T06:46:21Z

@jansel this is ready for review now. Since the last time you looked, I have

Added dependency checker to make sure latter loop does not read/write modified values of earlier loops
There are no statements between 2 loops
Completely revamped grid_exp system
shared pid is now a separate concept from pids of individual loops

jansel · 2025-06-08T16:50:46Z

helion/_compiler/device_function.py

@@ -145,7 +147,7 @@ def __init__(self, name: str, config: Config) -> None:
        self._unique_counter: dict[str, itertools.count[int]] = defaultdict(
            itertools.count
        )
-        self.grid_expr: ast.AST | None = None
+        self.pid: SharedProgramID | ProgramIDs | None = None


Nit: could introduce a base class here.

Hmm, not sure how this would work. In truth, this is the Either type from haskell etc where pid is either sharedpid that contains bunch of pids for multiple for loops, or a single pid for a single for loop.

A base class could contain codegen_grid but i also use this as device_function.pid to check/access the sharedpid in compiler.

Feel free to skip this change then.

jansel · 2025-06-08T17:00:12Z

helion/_compiler/loop_dependency_checker.py

+        Raises:
+            exc.LoopDependencyError: If a dependency is detected
+        """
+        for name in itertools.chain(rw.reads, rw.writes):


sets are non-determistic

Suggested change

for name in itertools.chain(rw.reads, rw.writes):

for name in sorted(itertools.chain(rw.reads, rw.writes)):

[ghstack-poisoned]

ghstack-source-id: 1f33fe9 Pull Request resolved: #52

yf225 · 2025-06-09T08:33:29Z

@oulgen I suspect it might be causing an error on pytest test/test_examples.py::TestExamples::test_moe_matmul_ogs (which is not run on CI right now):

======================================================================
ERROR: test_moe_matmul_ogs (__main__.TestExamples.test_moe_matmul_ogs)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 221, in visit
    return visitor(node)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 680, in visit_Name
    assert type_info.origin.is_host()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
AssertionError

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/willfeng/local/helion/test/test_examples.py", line 1651, in test_moe_matmul_ogs
    run_example(
  File "/home/willfeng/local/helion/test/test_examples.py", line 34, in run_example
    code, result = code_and_output(
                   ^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_testing.py", line 45, in code_and_output
    code = fn.bind(args).to_triton_code(config)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/runtime/kernel.py", line 128, in bind
    bound_kernel = BoundKernel(self, args)
                   ^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/runtime/kernel.py", line 288, in __init__
    self.host_function: HostFunction = HostFunction(
                                       ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/host_function.py", line 108, in __init__
    self.device_ir = lower_to_device_ir(self)
                     ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 869, in lower_to_device_ir
    visitor.visit(stmt)
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 221, in visit
    return visitor(node)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 850, in visit_For
    _make_fx(lambda: WalkDeviceAST(self.device_ir).visit(node))
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 124, in _make_fx
    return proxy_tensor.make_fx(fn, decomposition_table=select_decomp_table())(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2290, in wrapped
    return make_fx_tracer.trace(f, *args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2228, in trace
    return self._trace_inner(f, *args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2199, in _trace_inner
    t = dispatch_trace(
        ^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_compile.py", line 51, in inner
    return disable_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_dynamo/eval_frame.py", line 893, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 1223, in dispatch_trace
    graph = tracer.trace(root, concrete_args)  # type: ignore[arg-type]
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/_symbolic_trace.py", line 850, in trace
    (self.create_arg(fn(*args)),),
                     ^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 1278, in wrapped
    out = f(*tensors)  # type:ignore[call-arg]
          ^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 850, in <lambda>
    _make_fx(lambda: WalkDeviceAST(self.device_ir).visit(node))
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 221, in visit
    return visitor(node)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 509, in visit_For
    self._body(node.body)
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 418, in _body
    self.visit(stmt)
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 221, in visit
    return visitor(node)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 605, in visit_If
    self._create_if_subgraph(test_proxy, node.body)
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 639, in _create_if_subgraph
    body_graph = proxy_tensor.make_fx(
                 ^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2290, in wrapped
    return make_fx_tracer.trace(f, *args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2228, in trace
    return self._trace_inner(f, *args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2199, in _trace_inner
    t = dispatch_trace(
        ^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_compile.py", line 51, in inner
    return disable_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_dynamo/eval_frame.py", line 893, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 1223, in dispatch_trace
    graph = tracer.trace(root, concrete_args)  # type: ignore[arg-type]
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/_symbolic_trace.py", line 850, in trace
    (self.create_arg(fn(*args)),),
                     ^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 1278, in wrapped
    out = f(*tensors)  # type:ignore[call-arg]
          ^^^^^^^^^^^
  File "<string>", line 1, in <lambda>
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 627, in run_body
    subgraph_walker._body(body)
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 418, in _body
    self.visit(stmt)
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 221, in visit
    return visitor(node)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 556, in visit_For
    graph = proxy_tensor.make_fx(
            ^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2290, in wrapped
    return make_fx_tracer.trace(f, *args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2228, in trace
    return self._trace_inner(f, *args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2199, in _trace_inner
    t = dispatch_trace(
        ^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_compile.py", line 51, in inner
    return disable_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_dynamo/eval_frame.py", line 893, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 1223, in dispatch_trace
    graph = tracer.trace(root, concrete_args)  # type: ignore[arg-type]
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/_symbolic_trace.py", line 850, in trace
    (self.create_arg(fn(*args)),),
                     ^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 1278, in wrapped
    out = f(*tensors)  # type:ignore[call-arg]
          ^^^^^^^^^^^
  File "<string>", line 1, in <lambda>
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 543, in run_subgraph
    subgraph_walker._body(node.body)
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 418, in _body
    self.visit(stmt)
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 221, in visit
    return visitor(node)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 556, in visit_For
    graph = proxy_tensor.make_fx(
            ^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2290, in wrapped
    return make_fx_tracer.trace(f, *args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2228, in trace
    return self._trace_inner(f, *args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 2199, in _trace_inner
    t = dispatch_trace(
        ^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_compile.py", line 51, in inner
    return disable_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/_dynamo/eval_frame.py", line 893, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 1223, in dispatch_trace
    graph = tracer.trace(root, concrete_args)  # type: ignore[arg-type]
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/_symbolic_trace.py", line 850, in trace
    (self.create_arg(fn(*args)),),
                     ^^^^^^^^^
  File "/home/willfeng/local/pytorch-nightly/torch/fx/experimental/proxy_tensor.py", line 1278, in wrapped
    out = f(*tensors)  # type:ignore[call-arg]
          ^^^^^^^^^^^
  File "<string>", line 1, in <lambda>
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 543, in run_subgraph
    subgraph_walker._body(node.body)
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 418, in _body
    self.visit(stmt)
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 221, in visit
    return visitor(node)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 720, in visit_Assign
    self._assign(target, self.visit(node.value))
                         ^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 221, in visit
    return visitor(node)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 773, in visit_Subscript
    return hl.load(self.visit(value), self._subscript_slice_proxy(node.slice))
                                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 688, in _subscript_slice_proxy
    result = self.visit(slice_node)
             ^^^^^^^^^^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 221, in visit
    return visitor(node)
           ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/device_ir.py", line 694, in visit_Tuple
    return tuple([self.visit(x) for x in node.elts])
                  ^^^^^^^^^^^^^
  File "/home/willfeng/local/helion/helion/_compiler/ast_extension.py", line 225, in visit
    raise exc.InternalError(e) from e
helion.exc.InternalError: AssertionError: 
While processing:
  File "/home/willfeng/local/helion/examples/moe_matmul_ogs.py", line 74, in moe_matmul_ogs
    A_frag = A[expert_orig_token_indices, tile_k]  # [BLOCK_T, BLOCK_K]

oulgen · 2025-06-09T22:46:23Z

#148 should fix it

Add support for multiple top level for loops

134101d

[ghstack-poisoned]

oulgen added a commit that referenced this pull request May 17, 2025

Add support for multiple top level for loops

b0b1899

ghstack-source-id: f1837ad Pull Request resolved: #52

facebook-github-bot added the CLA Signed This label is managed by the Meta Open Source bot. label May 17, 2025

None on "Add support for multiple top level for loops"

84e840a

[ghstack-poisoned]

oulgen added a commit that referenced this pull request May 18, 2025

Add support for multiple top level for loops

fc21a87

ghstack-source-id: 056d55f Pull Request resolved: #52

oulgen marked this pull request as ready for review May 18, 2025 02:43

oulgen requested review from jansel, yf225 and drisspg May 18, 2025 02:44

drisspg reviewed May 18, 2025

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jansel requested changes May 18, 2025

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jansel mentioned this pull request May 24, 2025

Generate persistent kernels #78

Open

Update on "Add support for multiple top level for loops"

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oulgen added a commit that referenced this pull request Jun 8, 2025

Add support for multiple top level for loops

59a1272

ghstack-source-id: 1e31557 Pull Request resolved: #52

oulgen requested a review from jansel June 8, 2025 06:43

jansel approved these changes Jun 8, 2025

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Update on "Add support for multiple top level for loops"

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oulgen added a commit that referenced this pull request Jun 8, 2025

Add support for multiple top level for loops

e5add64

ghstack-source-id: 1f33fe9 Pull Request resolved: #52

oulgen merged commit 528e5ee into gh/oulgen/5/base Jun 8, 2025
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oulgen added a commit that referenced this pull request Jun 8, 2025

Add support for multiple top level for loops

3ccadfd

ghstack-source-id: 1f33fe9 Pull Request resolved: #52

oulgen deleted the gh/oulgen/5/head branch June 8, 2025 18:13

yf225 mentioned this pull request Jun 9, 2025

Try enable test_moe_matmul_ogs on CI #147

Merged

		# TODO(oulgen): Support this
		raise exc.MultipleDeviceLoopBlocks

	for name in itertools.chain(rw.reads, rw.writes):
	for name in sorted(itertools.chain(rw.reads, rw.writes)):

Add support for multiple top level for loops #52

Add support for multiple top level for loops #52

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