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[Frontend][Tensorflow] Sparse dense matmul adjoint option added#7267

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FrozenGene merged 4 commits intoapache:mainfrom
ANSHUMAN87:sparse-36
Jan 28, 2021
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[Frontend][Tensorflow] Sparse dense matmul adjoint option added#7267
FrozenGene merged 4 commits intoapache:mainfrom
ANSHUMAN87:sparse-36

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@ANSHUMAN87 ANSHUMAN87 commented Jan 13, 2021

This is a follow up PR!

Adjoint option support for both input added in this PR!

@ANSHUMAN87 ANSHUMAN87 marked this pull request as draft January 13, 2021 01:52
@ANSHUMAN87 ANSHUMAN87 force-pushed the sparse-36 branch 2 times, most recently from 2741533 to 6cd3a57 Compare January 13, 2021 02:09
@ANSHUMAN87 ANSHUMAN87 marked this pull request as ready for review January 20, 2021 15:36
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cc @tkonolige , @FrozenGene

Comment thread python/tvm/relay/frontend/tensorflow.py Outdated
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Looks good. Thanks for improving the comments!

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Thanks @tkonolige !
Gentle ping @FrozenGene!

@FrozenGene FrozenGene merged commit dda8f5d into apache:main Jan 28, 2021
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Thanks @tkonolige @ANSHUMAN87

alexwong pushed a commit to alexwong/tvm that referenced this pull request Feb 11, 2021
…he#7267)

* [Frontend][Tensorflow] Sparse dense matmul adjoint option added

* [1] Review comments handled

* [2] Review comments handled

* [3] Review comments handled
electriclilies pushed a commit to electriclilies/tvm that referenced this pull request Feb 18, 2021
…he#7267)

* [Frontend][Tensorflow] Sparse dense matmul adjoint option added

* [1] Review comments handled

* [2] Review comments handled

* [3] Review comments handled
Lokiiiiii pushed a commit to Lokiiiiii/tvm that referenced this pull request Mar 2, 2021
…he#7267)

* [Frontend][Tensorflow] Sparse dense matmul adjoint option added

* [1] Review comments handled

* [2] Review comments handled

* [3] Review comments handled
trevor-m pushed a commit to neo-ai/tvm that referenced this pull request Mar 2, 2021
…he#7267)

* [Frontend][Tensorflow] Sparse dense matmul adjoint option added

* [1] Review comments handled

* [2] Review comments handled

* [3] Review comments handled
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4 participants