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[TKW] Implement broadcastOp class, lowering and insertion #176

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merged 7 commits into from
Oct 4, 2024

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raikonenfnu
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@raikonenfnu raikonenfnu commented Sep 27, 2024

Motivation of this PR is to be able to codegen/lower broadcast properly. With that in mind, we implemented these things:

  1. BroadcastOp class, op and lowering, to represent and store broadcasting information. Mostly S.T we can query target shape information and the source operand of broadcast.
  2. Treat broadcast-add as an index conflict and handle it by emitting broadcastOp.

@raikonenfnu raikonenfnu force-pushed the broadcastUpstream branch 2 times, most recently from 7d2ff0b to ab09ba6 Compare September 27, 2024 20:09
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I didn't completely understand why we need to keep track of the original shapes in the broadcast op. Since our vectors are always 1D I think that should simplify a lot of this.

lit_tests/kernel/wave/codegen.py Show resolved Hide resolved
lit_tests/kernel/wave/codegen.py Show resolved Hide resolved
shark_turbine/kernel/ops/wave_ops.py Outdated Show resolved Hide resolved
shark_turbine/kernel/wave/insert_broadcast.py Outdated Show resolved Hide resolved
shark_turbine/kernel/wave/codegen.py Outdated Show resolved Hide resolved
Signed-off-by: Stanley Winata <stanley.winata@amd.com>
Signed-off-by: Stanley Winata <stanley.winata@amd.com>
Signed-off-by: Stanley Winata <stanley.winata@amd.com>
Signed-off-by: Stanley Winata <stanley.winata@amd.com>
Signed-off-by: Stanley Winata <stanley.winata@amd.com>
Signed-off-by: Stanley Winata <stanley.winata@amd.com>
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lgtm! thanks!

if lhs_dim_set.isdisjoint(rhs_dim_set):
raise ValueError(
"BinaryPyOp requires lhs and rhs shape to be at least broadcastable."
)
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Looks good. I would just add a comment that this is now a binary py op which supports broadcasting semantics.

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done!

Signed-off-by: Stanley Winata <stanley.winata@amd.com>
@raikonenfnu raikonenfnu merged commit 7617c94 into iree-org:main Oct 4, 2024
6 of 8 checks passed
stellaraccident pushed a commit that referenced this pull request Oct 13, 2024
Motivation of this PR is to be able to codegen/lower broadcast properly.
With that in mind, we implemented these things:

1. BroadcastOp class, op and lowering, to represent and store
broadcasting information. Mostly S.T we can query target shape
information and the source operand of broadcast.
2. Treat broadcast-add as an index conflict and handle it by emitting
broadcastOp.

---------

Signed-off-by: Stanley Winata <stanley.winata@amd.com>
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2 participants