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[TKW] Implement broadcastOp class, lowering and insertion #176
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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.
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Signed-off-by: Stanley Winata <stanley.winata@amd.com>
Signed-off-by: Stanley Winata <stanley.winata@amd.com>
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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>
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>
Motivation of this PR is to be able to codegen/lower broadcast properly. With that in mind, we implemented these things: