generate_loop_schedule_v2 #350

kaushikcfd · 2021-04-28T22:45:20Z

Implementation for finding loop nest around map in O(N.k), 'N' being the number of inames and 'k' being the max. loop depth.

For comparison, let's consider the kernel in #288: on main this map in computed in 5 minutes and this branch takes 30 0.4 seconds.

setup.py

inducer

Some thoughts from a quick look here.

loopy/schedule/tools.py

inducer · 2021-05-01T23:21:03Z

loopy/schedule/__init__.py


-    iname_to_insns = kernel.iname_to_insns()
+    loop_nest_around_map = defaultdict(frozenset)


In my view, the loop_nest_around_map should go. The loop nest tree is a strictly more informative data structure, and it is not of size O(n^2). I think we should get rid of it. I looked through the uses, and it shouldn't be hard to replace, and it'll fix another bottleneck in linearization.

In the new version, I didn't touch the old implementation (v1-scheduler) to keep things simpler in this PR. So, for such cases $O(n^2)$ stays.

I can handle it as a separate PR.

inducer · 2021-05-01T23:22:25Z

loopy/schedule/tools.py

+    Updates *tree* to make *inames_to_pull_out* a loop nesting level in
+    *loop_nests*
+
+    :returns: a :class:`tuple` ``(outer_loop_nest, inner_loop_nest)``, where


Describe the types of the arguments.

Thanks, done.

inducer · 2021-05-01T23:26:14Z

loopy/schedule/tools.py

+    Updates *tree* to make *inames_to_pull_out* a loop nesting level in
+    *loop_nests*


Describe which is nested "inside" and which is "outside".

inducer · 2021-05-26T23:04:45Z

Does #372 supersede this?

kaushikcfd · 2021-05-26T23:14:33Z

@inducer: Not really. #372 includes commits from this branch, so that I could do some tests on my test problems. But I propose we merge them separately. (I've updated the description of #372 to record that)

inducer · 2022-06-09T20:14:08Z

I was just rebasing this. You beat me to it! :)

inducer

Here's a first look. I haven't really gotten very far into the core algorithm, because I'm not sure I understood _pull_out_loop_nest_tree, which seems like it's a core operation.

inducer · 2022-06-09T20:21:27Z

loopy/tools.py

@@ -930,6 +933,225 @@ def _get_persistent_hashable_arg(arg):

    return wrapper

+
+# {{{ tree data structure


This is big enough to be its own file.

#694 puts the Tree class into its own file (loopy/schedule/tree.py).

inducer · 2022-06-09T20:22:21Z

loopy/tools.py

@@ -930,6 +933,225 @@ def _get_persistent_hashable_arg(arg):

    return wrapper

+
+# {{{ tree data structure


Given that this has type annotations, mypy should like them (and there should be CI saying as much).

As far as I can see, mypy checks and passes the annotations.

inducer · 2022-06-09T20:23:15Z

loopy/tools.py

+@dataclass(frozen=True)
+class Tree(Generic[T]):
+    """
+    An immutable tree implementation.


Describe the role of the type variable T. Specifically describe that there's one Tree object, but many nodes T. Maybe rename T to NodeT?

c53a9af hopefully clarifies this (and renames T to NodeT).

inducer · 2022-06-09T20:24:57Z

loopy/tools.py

+
+
+@dataclass(frozen=True)
+class Tree(Generic[T]):


Is this mature enough to be in pytools?

inducer · 2022-06-09T20:26:53Z

loopy/tools.py

+    _parent_to_children: "PMap[T, FrozenSet[T]]"
+    _child_to_parent: "PMap[T, Optional[T]]"


In terms of data structure, this is a forest (i.e. it allows multiple trees). It wouldn't take much to allow that fully... YAGNI though.

loopy/schedule/tools.py

inducer · 2022-06-09T21:34:19Z

loopy/schedule/tools.py

+
+    loop_nests = sorted(loop_nests, key=lambda nest: tree.depth(nest))
+
+    for outer, inner in zip(loop_nests[:-1], loop_nests[1:]):


It seems that all you'd need to pass here is the innermost node in the loop nest tree, and tree.ancestors (at least the proposed changed version) would cheaply give you this without the need to enforce these invariants.

loopy/schedule/tools.py

inducer

Thanks! Finally made it all the way through. There's a bit to digest here, but as far as I remember, it's mostly superficial. I didn't find any flaws in the thinking. Nice job!

loopy/schedule/tools.py

loopy/schedule/__init__.py

inducer · 2022-06-10T00:02:08Z

loopy/schedule/__init__.py

+        if outer_loop == "":
+            continue
+
+        for child in loop_nest_tree.children(outer_loop):


Add a comment that this only works because loop_nest_tree contains a total order of loops. Otherwise it might windup with mismatched enter/leaves.

loopy/schedule/__init__.py

inducer · 2022-06-10T00:07:06Z

Unsubscribing... @-mention or request review once it's ready for a look or needs attention.

But I'm eager to get this in soon!

…me LoopKernel

inducer · 2024-08-24T19:40:58Z

Most review comments from here are addressed in #864.

inducer · 2024-08-25T03:04:25Z

Included in #864 via #690, closing.

kaushikcfd requested a review from inducer April 28, 2021 23:20

kaushikcfd commented Apr 29, 2021

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kaushikcfd changed the title ~~Better loop around nest map~~ generate_loop_schedule_v2 May 4, 2021

inducer mentioned this pull request May 11, 2021

Add loop nest constraints v2 to better loop around nest map #360

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Move to an AST-like IR before entering codegen #372

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Implements a Loop Fusion Transformation #493

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[fusion_actx] High compile times illinois-ceesd/mirgecom#644

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Implements loop distribution transformation #629

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This was referenced Oct 11, 2022

[Update] generate_loop_schedule_v2 #690

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add Tree implementation #694

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kaushikcfd added 4 commits June 1, 2023 20:23

adds an immutable tree implementation

43dd810

add helpers to figure out loop nestings from a kernel

2c78a9c

adds loopy scheduler v2

0f478dd

changes in docs to account for equivalent generated codes from the sa…

fadb652

…me LoopKernel

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Add test_long_kernel #826

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generate_loop_schedule_v2 #350

generate_loop_schedule_v2 #350

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inducer commented Aug 25, 2024


		iname_to_insns = kernel.iname_to_insns()
		loop_nest_around_map = defaultdict(frozenset)

		Updates tree to make inames_to_pull_out a loop nesting level in
		loop_nests

		@@ -930,6 +933,225 @@ def _get_persistent_hashable_arg(arg):

		return wrapper


		# {{{ tree data structure

		_parent_to_children: "PMap[T, FrozenSet[T]]"
		_child_to_parent: "PMap[T, Optional[T]]"


		loop_nests = sorted(loop_nests, key=lambda nest: tree.depth(nest))

		for outer, inner in zip(loop_nests[:-1], loop_nests[1:]):

generate_loop_schedule_v2 #350

generate_loop_schedule_v2 #350

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