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Swapped to_seq_len/from_seq_len in comment #11

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nikitakit opened this issue Nov 9, 2018 · 1 comment
Closed

Swapped to_seq_len/from_seq_len in comment #11

nikitakit opened this issue Nov 9, 2018 · 1 comment

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@nikitakit
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I'm pretty sure this comment:

https://github.com/huggingface/pytorch-pretrained-BERT/blob/2c5d993ba48841575d9c58f0754bca00b288431c/modeling.py#L339-L343

should instead say:

# Sizes are [batch_size, 1, 1, to_seq_length] 
# So we can broadcast to [batch_size, num_heads, from_seq_length, to_seq_length]

When masking out tokens for attention, it doesn't matter what happens to attention from padding tokens, only that there is no attention to padding tokens.

I don't believe the code is doing what the comment currently suggests because that would be an implementation flaw.
@thomwolf
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thomwolf commented Nov 9, 2018

Yes! fixed the comment

@thomwolf thomwolf closed this as completed Nov 9, 2018
@maeotaku maeotaku mentioned this issue May 23, 2019
Closed
@HongyanJiao HongyanJiao mentioned this issue Sep 19, 2019
Closed
stevezheng23 added a commit to stevezheng23/transformers that referenced this issue Mar 24, 2020
@stevezheng23
Merge pull request huggingface#11 from stevezheng23/dev/zheng/quac
4906c01 
fix issues in new quac-kd runner (cont.)
LysandreJik added a commit that referenced this issue Apr 10, 2020
@jysohn23 @LysandreJik
Add run_glue_tpu.py that trains models on TPUs (#3702)
551b450 
* Initial commit to get BERT + run_glue.py on TPU

* Add README section for TPU and address comments.

* Cleanup TPU bits from run_glue.py (#3)

TPU runner is currently implemented in:
https://github.com/pytorch-tpu/transformers/blob/tpu/examples/run_glue_tpu.py.

We plan to upstream this directly into `huggingface/transformers`
(either `master` or `tpu`) branch once it's been more thoroughly tested.

* Cleanup TPU bits from run_glue.py

TPU runner is currently implemented in:
https://github.com/pytorch-tpu/transformers/blob/tpu/examples/run_glue_tpu.py.

We plan to upstream this directly into `huggingface/transformers`
(either `master` or `tpu`) branch once it's been more thoroughly tested.

* No need to call `xm.mark_step()` explicitly (#4)

Since for gradient accumulation we're accumulating on batches from
`ParallelLoader` instance which on next() marks the step itself.

* Resolve R/W conflicts from multiprocessing (#5)

* Add XLNet in list of models for `run_glue_tpu.py` (#6)

* Add RoBERTa to list of models in TPU GLUE (#7)

* Add RoBERTa and DistilBert to list of models in TPU GLUE (#8)

* Use barriers to reduce duplicate work/resources (#9)

* Shard eval dataset and aggregate eval metrics (#10)

* Shard eval dataset and aggregate eval metrics

Also, instead of calling `eval_loss.item()` every time do summation with
tensors on device.

* Change defaultdict to float

* Reduce the pred, label tensors instead of metrics

As brought up during review some metrics like f1 cannot be aggregated
via averaging. GLUE task metrics depends largely on the dataset, so
instead we sync the prediction and label tensors so that the metrics can
be computed accurately on those instead.

* Only use tb_writer from master (#11)

* Apply huggingface black code formatting

* Style

* Remove `--do_lower_case` as example uses cased

* Add option to specify tensorboard logdir

This is needed for our testing framework which checks regressions
against key metrics writtern by the summary writer.

* Using configuration for `xla_device`

* Prefix TPU specific comments.

* num_cores clarification and namespace eval metrics

* Cache features file under `args.cache_dir`

Instead of under `args.data_dir`. This is needed as our test infra uses
data_dir with a read-only filesystem.

* Rename `run_glue_tpu` to `run_tpu_glue`

Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>
@manchandasahil manchandasahil mentioned this issue Mar 22, 2021
Closed
2 tasks
amathews-amd referenced this issue in ROCm/transformers Aug 6, 2021
@raviskolli
Merge pull request #11 from microsoft/jingywa/hfbert-changes
6b9500b 
Bert type cast fix
@yananchen1989 yananchen1989 mentioned this issue Aug 20, 2021
Closed
rraminen pushed a commit to rraminen/transformers that referenced this issue Jun 3, 2022
@amathews-amd
Merge pull request huggingface#11 from ROCmSoftwarePlatform/IFU-maste…
dc78c95 
…r-2022-05-05

IFU-master-2022-05-05
sim-so added a commit to sim-so/transformers that referenced this issue Apr 23, 2023
@sim-so
# This is a combination of 11 commits.
910ba87 
# This is the 1st commit message:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#2:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#3:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#4:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#5:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#6:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#7:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#8:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#9:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#10:

Update docs/source/ko/tasks/summarization.mdx

Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
# This is the commit message huggingface#11:

Update docs/source/ko/tasks/summarization.mdx
jameshennessytempus pushed a commit to jameshennessytempus/transformers that referenced this issue Jun 1, 2023
@jamesthesnake
Merge pull request huggingface#11 from jamesthesnake/pop
180ae81 
Pop
@lwmlyy lwmlyy mentioned this issue Aug 15, 2023
Merged
1 task
ocavue pushed a commit to ocavue/transformers that referenced this issue Sep 13, 2023
@xenova
Update conversion script to copy certain JSON files to destination (h…
1f14ca0 
…uggingface#11)
younesbelkada pushed a commit to younesbelkada/transformers that referenced this issue Mar 14, 2024
@saurabhdash2512
Smol Fix (huggingface#11)
ef6ed3d
LysandreJik pushed a commit that referenced this issue Mar 15, 2024
@saurabhdash2512 @ahmetustun
@younesbelkada @Rocketknight1
Cohere Model Release (#29622)
0e4a1c3 
* Cohere Model Release (#1)

Cohere Model Release

* Remove unnecessary files and code (#2)

Some cleanup

* Delete cohere-model directory (#3)

* Make Fix (#5)

* Pr fixes (#6)

* fixes for pr

* pr fixes for the format

* pr fixes for the format

* src/transformers/models/auto/tokenization_auto.py

* Tokenizer test (#8)

* tokenizer test

* format fix

* Adding Docs and other minor changes (#7)

* Add modeling tests (#9)

* Smol Fix (#11)

* tokenization tests are fixed

* format fixes

* fix pr doc tests

* fix pr doc tests

* fix pr doc tests

* fix pr style check

* small changes in cohere.md

* FIX: Address final comments for transformers integration (#13)

* fix modeling final nits and add proper test file

* for now leave empty tests

* add integration test

* push new test

* fix modeling cohere (#14)

* Update chat templates to use the new API (#15)

---------

Co-authored-by: ahmetustun <ahmetustun89@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
itazap pushed a commit that referenced this issue May 14, 2024
@saurabhdash2512 @ahmetustun
@younesbelkada @Rocketknight1
Cohere Model Release (#29622)
a4b0d3d 
* Cohere Model Release (#1)

Cohere Model Release

* Remove unnecessary files and code (#2)

Some cleanup

* Delete cohere-model directory (#3)

* Make Fix (#5)

* Pr fixes (#6)

* fixes for pr

* pr fixes for the format

* pr fixes for the format

* src/transformers/models/auto/tokenization_auto.py

* Tokenizer test (#8)

* tokenizer test

* format fix

* Adding Docs and other minor changes (#7)

* Add modeling tests (#9)

* Smol Fix (#11)

* tokenization tests are fixed

* format fixes

* fix pr doc tests

* fix pr doc tests

* fix pr doc tests

* fix pr style check

* small changes in cohere.md

* FIX: Address final comments for transformers integration (#13)

* fix modeling final nits and add proper test file

* for now leave empty tests

* add integration test

* push new test

* fix modeling cohere (#14)

* Update chat templates to use the new API (#15)

---------

Co-authored-by: ahmetustun <ahmetustun89@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
SangbumChoi added a commit to SangbumChoi/transformers that referenced this issue Aug 22, 2024
@SangbumChoi
Merge pull request huggingface#11 from Superb-AI-Suite/suite-tmp
5cc2c05 
Suite tmp
ZYC-ModelCloud pushed a commit to ZYC-ModelCloud/transformers that referenced this issue Nov 14, 2024
@Qubitium
Fix H100 crash with Marlin (huggingface#11)
00ba235 
* backport h100 fixed marlin kernel from vllm

* Revert "backport h100 fixed marlin kernel from vllm"

This reverts commit 8ac1b87f823a50aaf953de8db810fc9217daeca7.

* revert

* fix h100

* revert debug code

* now that h100 is validated, remove hopper check
ZYC-ModelCloud pushed a commit to ZYC-ModelCloud/transformers that referenced this issue Nov 14, 2024
@Qubitium
Readme (huggingface#11)
dbfb2f7 
* update

* update

* add ack
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@nikitakit @thomwolf