[Frontend][PaddlePaddle] Add operators of interploate/flatten and modify try_infer_value #9459
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
jiangjiajun
requested review from
Huyuwei,
areusch,
comaniac,
icemelon,
jroesch,
junrushao,
jwfromm,
kazum,
mbrookhart,
merrymercy,
siju-samuel,
srkreddy1238,
tqchen and
yzhliu
as code owners
jiangjiajun
changed the title
masahi
approved these changes
Nov 8, 2021
mehrdadh
pushed a commit
to mehrdadh/tvm
that referenced
this pull request
Dec 1, 2021
…ify try_infer_value (apache#9459) * add interploate and flatten * fix spells * fix diff * rename unit test name * add parameters for common:try_infer_value * eliminate unnecessary diff * fix pylint problem * fix pylint problem * eliminate unnecessary diff
mehrdadh
pushed a commit
to mehrdadh/tvm
that referenced
this pull request
Dec 1, 2021
…ify try_infer_value (apache#9459) * add interploate and flatten * fix spells * fix diff * rename unit test name * add parameters for common:try_infer_value * eliminate unnecessary diff * fix pylint problem * fix pylint problem * eliminate unnecessary diff
ylc
pushed a commit
to ylc/tvm
that referenced
this pull request
Jan 7, 2022
…ify try_infer_value (apache#9459) * add interploate and flatten * fix spells * fix diff * rename unit test name * add parameters for common:try_infer_value * eliminate unnecessary diff * fix pylint problem * fix pylint problem * eliminate unnecessary diff
yangulei
pushed a commit
to yangulei/tvm
that referenced
this pull request
Jan 11, 2022
…ify try_infer_value (apache#9459) * add interploate and flatten * fix spells * fix diff * rename unit test name * add parameters for common:try_infer_value * eliminate unnecessary diff * fix pylint problem * fix pylint problem * eliminate unnecessary diff
ylc
pushed a commit
to ylc/tvm
that referenced
this pull request
Jan 13, 2022
…ify try_infer_value (apache#9459) * add interploate and flatten * fix spells * fix diff * rename unit test name * add parameters for common:try_infer_value * eliminate unnecessary diff * fix pylint problem * fix pylint problem * eliminate unnecessary diff
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Add 4 operators, the first 3 operators support 4D tensor's interpolation, and
flatten_contiguous_rangeis a operator just liketorch.flatten.nearest_interp_v2bicubic_interp_v2bilinear_interp_v2flatten_contiguous_rangeThis pull request modified
frontend/common.py::try_infer_value, while before this function will not take model's parameters to infer value. With this pull request, it will help to solve some dynamic shape problem， e.gx = op.reshape(x, shape=shape), if theshapeis a parameter of the original model, the oldtry_infer_valuewill fail to infer its value.While reviewing the code, I found
try_infer_valuewas not called correctly in paddle frontend, although it didn't cause error because the execution is undertryblock, this also fixed in this pull request.@mbrookhart @AndrewZhaoLuo @masahi
Thanks for contributing to TVM! Please refer to guideline https://tvm.apache.org/docs/contribute/ for useful information and tips. After the pull request is submitted, please request code reviews from Reviewers by @ them in the pull request thread.