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Add support for one hot encoding of 0-rank tensor #1771

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LoicDagnas
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Trying to solve my self this issue #1757 I have been lead to add the support of one hot encoding of 0-rank tensor as it is supported by TensorFlow.

Signed-off-by: Dagnas <dagnas@sinequa.com>
@LoicDagnas LoicDagnas force-pushed the loic-dagnas/feature/add-support-for-zero-rank-one-hot-encoding branch from 38b7fe4 to 982f0cb Compare November 15, 2021 17:28
Signed-off-by: Dagnas <dagnas@sinequa.com>
@guschmue guschmue enabled auto-merge (squash) November 22, 2021 21:25
@guschmue guschmue merged commit 65aaa2c into onnx:master Nov 22, 2021
@LoicDagnas LoicDagnas deleted the loic-dagnas/feature/add-support-for-zero-rank-one-hot-encoding branch November 23, 2021 08:45
@q-ycong-p
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q-ycong-p commented Jan 12, 2022

@LoicDagnas @TomWildenhain-Microsoft @guschmue
This commit caused python setup.py test to throw segmentation fault on the newly added test_onehot_rank0 with onnx==1.7.0. Confirmed that latest onnx==1.10.2 is fine. Can we investigate if it's an easy fix, or only latest onnx is supported?

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5 participants