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[Relay][Frontend][ONNX] Broadcast condition, x, and y for Where op #4774

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merged 3 commits into from
Jan 27, 2020

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soiferj
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@soiferj soiferj commented Jan 24, 2020

ONNX's Where operator can broadcast the condition, x, and y tensors. The current implementation will only broadcast x and y.

This change will try to find the best shape to broadcast to (longest and doesn't have 1 as a dimension), and will broadcast all tensors to that shape.

@jwfromm would you be able to take a look?

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Makes sense, everything LGTM.

@jroesch jroesch merged commit de919cb into apache:master Jan 27, 2020
@soiferj soiferj deleted the onnx_broadcast branch January 27, 2020 23:45
alexwong pushed a commit to alexwong/tvm that referenced this pull request Feb 26, 2020
…pache#4774)

* ONNX frontend broadcast condition

* fix

* fix style

Co-authored-by: Jon Soifer <[email protected]>
alexwong pushed a commit to alexwong/tvm that referenced this pull request Feb 28, 2020
…pache#4774)

* ONNX frontend broadcast condition

* fix

* fix style

Co-authored-by: Jon Soifer <[email protected]>
zhiics pushed a commit to neo-ai/tvm that referenced this pull request Mar 2, 2020
…pache#4774)

* ONNX frontend broadcast condition

* fix

* fix style

Co-authored-by: Jon Soifer <[email protected]>
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4 participants