GitLab

* [trainer] update url

* style

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Add model to doc tests

* Remove generate and replace by prepare_inputs_for_generation

* More fixes

* Remove print statements

* Update integration tests

* Fix generate

* Remove model from auto mapping

* Use auto processor

* Fix integration tests

* Fix test

* Add inference code snippet

* Remove is_encoder_decoder

* Update docs

* Remove notebook link

* Update modeling_vilt.py

Vilt compatible with model parallelism

* Update modeling_switch_transformers.py

switch_transformers compatible with model parallelism

Fix indexing

* added configuration file for mvp model

* added configuration_mvp.py line to file

m2m-100-config for doctest

* Fix docstrings for TFBLIP

* Fix missing line in TF port!

* Use values from torch tests now other bugs fixed

* Use values from torch tests now other bugs fixed

* Fix doctest string

* Use different level

* Remove futurewarning

* Use warning_once

* Update copies

* add fast support and option

* update based on review

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/llama/convert_llama_weights_to_hf.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* nit

* add print

* fixup

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

`torch.distributed` group initialization for `torch_neuron` disabled when `optimum-neuron` is installed (#22728)

* Make the process group initialization not happen if optimum_neuron is installed

* Add warning

* Remove list and added warning

* make serialization of int8 models possible

* make fixup

* add docs

* add ability to push to hub and save pretrained

* fixes

* more addition

* more tests

* fix issues

* change variable

* clearer message

* adapt from suggestions

* few fixes

* remove unused function

* Update src/transformers/utils/quantization_config.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* address last comments

* last warning

* clarify doc

* protect import

* Update src/transformers/modeling_utils.py

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* resolve conflicts

* rebase and make style

* test

* test

* test

* rebase and make style

* rebase and make style

* tests

* tests

* rewrite some functions

* rebase and make style

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* fix some bugs & docstring

* add models and tests

* solve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* tests

* resolve conflicts

* resolve conflicts

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* fix some bugs & docstring

* save resolution

* make style

* delete redefinition code

* reformat function

* reformat

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* tests

* resolve conflicts

* resolve conflicts

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* resolve conflicts

* fix load_tf_weights_in_cpmant

* reformat some unrelated files

* upgrade quality

* resolve conflicts

* make style

* fix bugs and refactor

* modify docstrings and make style

* unify import format in __init__.py

* fix import-altclp bug

* fix copies to update index.md

* fix unused config parameters

* fix unused config parameters

* fix unused config parameters

* update README_ja.md

* dummy commit for unit test

* fix attention mask

* add CPMAntTokenizer&-Fast to auto-mapping

* drop redundant changes in README_ko

* fix  defaults in docstring

* fix use_cache and some docstring

* add missing args in tokenizer

* modify tester inheritance

* add is_jieba_available

* fix some bugs

* make style and fix-copies

* add doctests

* skip integration tests

* add is_jieba_available

* fix bugs in common tests

* adjust docstrings and make style

* add argument docstring

* adjust code to some specifications

* make style and fix-copies

* add fast tokenization test

* dummy commit for unit test

* dummy commit for unit test

* dummy commit for unit test

* normalize some comments and names

* Bert->CPMAnt

* camel names and drop redundant codes

* make style and fix-coies

* add CpmTokenizerFast _import_structure

* drop cpmanttokenizerfast in model_doc

* fix some problems

* fix CPMAnt tokenization for common test

* make style and fixup

* fix copies and fixup

* fix bugs in tokenization test

* dummy commit for connection failure in unittest

* fix copies

* drop trailing comma

* fix decorator in tests

* dummy commit for connection failure in unittest

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Co-authored-by: Gong Baitao <gongbaitao11@gmail.com>

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Clarify stride option

* formatting

Move labels to same device as logits

Model parallelism correct labels device

* add GPTNeoXForSequenceClassification

* move the labels to logits.device (ref: #22561)

* fix

* Make dynamic code work with offline mode

* Clean up

* Quality

BrideTower Model parallelism logits device for loss calculation

* Add model with cli tool

* Remove unwanted stuff

* Add new code

* Remove inference runner

* Style

* Fix checks

* Test updates

* make fixup

* fix docs

* fix doc

* fix test

* hopefully fix pipeline tests

* refactor

* fix CIs

* add comment

* rename to `GPTBigCodeForCausalLM`

* correct readme

* make fixup + docs

* make fixup

* fixes

* fixes

* Remove pruning

* Remove import

* Doc updates

* More pruning removal

* Combine copies

* Single MQA implementation, remove kv cache pre-allocation and padding

* Update doc

* Revert refactor to match gpt2 style

* Merge back key and value caches, fix some type hints

* Update doc

* Fix position ids pith padding (PR 21080)

* Add conversion script temporarily

* Update conversion script

* Remove checkpoint conversion

* New model

* Fix MQA test

* Fix copies

* try fix tests

* FIX TEST!!

* remove  `DoubleHeadsModel`

* add MQA tests

* add slow tests

* clean up

* add CPU checker

* final fixes

* fixes

- fix GPU issue
- fixed slow tests
- skip disk offload

* fix final issue

* Simplify and comment baddbmm fix

* Remove unnecessary code

* Transpose tweaks

* Use beta=1 on cpu, improve tests

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Co-authored-by: younesbelkada <younesbelkada@gmail.com>

moved labels to the same device as logits for BLOOM, GPT Neo, GPT NeoX, RoBERTa and VIT models (#22663)

moved labels to the same device as logits

add API warning

* Fix default attention mask size

* fixup

* add a test to make sure that even if attention mask are not provided, works

* style

* do not push special file

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Small nit,
Fixes #21986

* Update src/transformers/pipelines/__init__.py

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* (feat): Move labels to the same device as logits

* Trigger CI

* Trigger CI

* Trigger CI

* (feat): Making changes for Blip2

fix fsdp

fix slow tests and doctests

add safety checker

* Add TFBlipForConditionalGeneration

* update pipeline_model_mapping

* Add import

* Revert changes in GPTSanJapaneseTest

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>