GitLab

* add bnb flag

* move maker

* add accelerator maker

* add hard rope scaling test

* make fixup

* quick rope scaling tests

* add copy statements

fix device of mask in tests

* Copies `modeling_flax_gpt_neo.py` to start

* MLP Block. WIP Attention and Block

* Adds Flax implementation of `LlamaMLP`
Validated with in-file test.
Some slight numeric differences, but assuming it isn't an issue

* Adds `FlaxLlamaRMSNorm` layer
`flax.linen` includes `RMSNorm` layer but not necessarily in all
versions. Hence, we add in-file.

* Adds FlaxLlamaAttention
Copied from GPT-J as it has efficient caching implementation as well as
rotary embeddings.
Notice numerically different, but not by a huge amount. Needs
investigating

* Adds `FlaxLlamaDecoderLayer`
numerically inaccurate, debugging..

* debugging rotary mismatch
gptj uses interleaved whilst llama uses contiguous
i think they match now but still final result is wrong.
maybe drop back to just debugging attention layer?

* fixes bug with decoder layer
still somewhat numerically inaccurate, but close enough for now

* adds markers for what to implement next
the structure here diverges a lot from the PT version.
not a big fan of it, but just get something working for now

* implements `FlaxLlamaBlockCollection`]
tolerance must be higher than expected, kinda disconcerting

* Adds `FlaxLlamaModule`
equivalent PyTorch model is `LlamaModel`
yay! a language model🤗

* adds `FlaxLlamaForCausalLMModule`
equivalent to `LlamaForCausalLM`
still missing returning dict or tuple, will add later

* start porting pretrained wrappers
realised it probably needs return dict as a prereq

* cleanup, quality, style

* readds `return_dict` and model output named tuples

* (tentatively) pretrained wrappers work 🔥

* fixes numerical mismatch in `FlaxLlamaRMSNorm`
seems `jax.lax.rsqrt` does not match `torch.sqrt`.
manually computing `1 / jax.numpy.sqrt` results in matching values.

* [WIP] debugging numerics

* numerical match
I think issue was accidental change of backend. forcing CPU fixes test.
We expect some mismatch on GPU.

* adds in model and integration tests for Flax Llama
summary of failing:
- mul invalid combination of dimensions
- one numerical mismatch
- bf16 conversion (maybe my local backend issue)
- params are not FrozenDict

* adds missing TYPE_CHECKING import and `make fixup`

* adds back missing docstrings
needs review on quality of docstrings, not sure what is required.
Furthermore, need to check if `CHECKPOINT_FOR_DOC` is valid. See TODO

* commenting out equivalence test as can just use common

* debugging

* Fixes bug where mask and pos_ids were swapped in pretrained models
This results in all tests passing now 🔥



* cleanup of modeling file

* cleanup of test file

* Resolving simpler review comments

* addresses more minor review comments

* fixing introduced pytest errors from review

* wip additional slow tests

* wip tests
need to grab a GPU machine to get real logits for comparison
otherwise, slow tests should be okay

* `make quality`, `make style`

* adds slow integration tests
- checking logits
- checking hidden states
- checking generation outputs

* `make fix-copies`

* fix mangled function following `make fix-copies`

* adds missing type checking imports

* fixes missing parameter checkpoint warning

* more finegrained 'Copied from' tags
avoids issue of overwriting `LLAMA_INPUTS_DOCSTRING`

* swaps import guards
??? how did these get swapped initially?

* removing `inv_freq` again as pytorch version has now removed

* attempting to get CI to pass

* adds doc entries for llama flax models

* fixes typo in __init__.py imports

* adds back special equivalence tests
these come from the gpt neo flax tests. there is special behaviour for these models that needs to override the common version

* overrides tests with dummy to see if CI passes
need to fill in these tests later

* adds my contribution to docs

* `make style; make quality`

* replaces random masking with fixed to work with flax version

* `make quality; make style`

* Update src/transformers/models/llama/modeling_flax_llama.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update src/transformers/models/llama/modeling_flax_llama.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update src/transformers/models/llama/modeling_flax_llama.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update src/transformers/models/llama/modeling_flax_llama.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update src/transformers/models/llama/modeling_flax_llama.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update src/transformers/models/llama/modeling_flax_llama.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* updates `x`->`tensor` in `rotate_half`

* addresses smaller review comments

* Update docs/source/en/model_doc/llama.md
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* adds integration test class

* adds `dtype` to rotary embedding to cast outputs

* adds type to flax llama rotary layer

* `make style`

* `make fix-copies`

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* applies suggestions from review

* Update modeling_flax_llama.py

* `make fix-copies`

* Update tests/models/llama/test_modeling_llama.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update src/transformers/models/llama/modeling_flax_llama.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* fixes shape mismatch in FlaxLlamaMLP

* applies some suggestions from reviews

* casts attn output logits to f32 regardless of dtype

* adds attn bias using `LlamaConfig.attention_bias`

* adds Copied From comments to Flax Llama test

* mistral and persimmon test change -copy from llama

* updates docs index

* removes Copied from in tests

it was preventing `make fix-copies` from succeeding

* quality and style

* ignores FlaxLlama input docstring

* adds revision to `_CHECKPOINT_FOR_DOC`

* repo consistency and quality

* removes unused import

* removes copied from from Phi test

now diverges from llama tests following FlaxLlama changes

* adds `_REAL_CHECKPOINT_FOR_DOC`

* removes refs from pr tests

* reformat to make ruff happy

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* device agnostic models testing

* add decorator `require_torch_fp16`

* make style

* apply review suggestion

* Oops, the fp16 decorator was misused

* fix

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

* copied statement for test files

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

* fix wav2vec2

* nit

* stash

* one more file to update

* fix byt5

* vocab size is 256, don't change that!

* use other revision

* test persimon in smaller size

* style

* tests

* nits

* update add tokens from pretrained

* test tokenization

* nits

* potential fnet fix?

* more nits

* nits

* correct test

* assert close

* udpate

* ouch

* fix it

* some more nits

* FINALLU

* use `adept` checkpoints

* more adept checkpoints

* that was invlved!

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

* intiial commit

* updates

* nits

* update conversion script

* update conversion script

* use path to load

* add tips etc

* some modeling logic

* modeling update

* more nits

* nits

* normal layer norm

* update config and doc

* nits

* update doc remove unused

* update

* fix inits and stuff

* fixup

* revert wrong changes

* updates

* more nits

* add default config values to the configuration file

* fixup happy

* update

* 2 tests left

* update readmes

* more nits

* slow test and more documentation

* update readme

* fix licences

* styling

* use fast if possible when saving tokenizer

* remove todo

* remove tokenization tests

* small last nits

* Apply suggestions from code review
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* nits to skip the timout doctest

* fix integration test

* fix test

* update eos token

* update to allow fast tokenization

* styling

* fix codeLlama as well for the update post processor

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add more copied from statements

* update

* doc passes doctest

* remove `# final layer norm?`

* change docstring prompot

* update

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

* don't doctest the conversion script as it requires more packages

* don't init a model in the config

* oups

* fix doctest

---------
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add all

* Revert "Delete .github directory"

This reverts commit 9b0ff7b052e2b20b629a26fb13606b78a42944d1.

* make conversion script backward compatible

* fixup

* more styling

* copy to llama changes

* fix repo consistency

* nits

* document correct classes

* updates

* more fixes

* nits

* update auto mappings

* add readmes

* smallupdates

* llama-code replace with llama_code

* make fixup

* updates to the testsing suite

* fix fast nits

* more small fixes

* fix decode

* fix template processing

* properly reset the normalizer

* nits processor

* tokenization tests pass

* styling

* last tests

* additional nits

* one test is left

* nits

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

* update failing test

* fixup

* remove decode infilling users should handle it on their onw after generation, padding can be a problem

* update

* make test slow and more meaningfull

* fixup

* doc update

* fixup

* Apply suggestions from code review

* add kwargs doc

* tokenizer requires `requires_backend`

* type requires_backends

* CodeLlama instead of LlamaCode

* more name cahnges

* nits

* make doctests happy

* small pipeline nits

* last nit

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

* update

* add codellama to toctree

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

* CI with layers=2

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

* pad token should be None by default

* fix tests

* nits

* add llama

* add other readmes

* update padding id in readme

* add link to paper

* fix paths and tokenizer

* more nits

* styling

* fit operation in 2 lines when possible

* nits

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

* add form

* update reademe

* update readme, we don't have a default pad token

* update test and tokenization

* LLaMA instead of Llama

* nits

* add expected text

* add greeedy output

* styling

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

* sequential device map

* skip relevant changes

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

* add rope_scaling

* tmp commit

* add gptneox

* add tests

* GPTNeoX can now handle long inputs, so the pipeline test was wrong

* Update src/transformers/models/open_llama/configuration_open_llama.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* remove ntk

* remove redundant validation

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* tmp commit

* beef up llama tests

* Add LlamaForSequenceClassification

* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Add docstring

* Add test

* Add input embedding getter and setter

* Remove dead code

---------
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* LLaMA

* sharding and docs

* tweak

* black

* inits

* ruff

* LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP

* init

* no checkpoint

* docs

* ruff

* type_vocab_size

* tokenizer fixes

* tokenizer fixes

* Update tokenization_llama.py

* Update tokenization_llama.py

* Update configuration_llama.py

* Update modeling_llama.py

* tokenizer add_bos by default

* licenses

* remove decoder

* norms and mlp

* rope overhaul

* tweaks

* black

* mention OPT implementation

* off-by-one naming

* typo

* fix

* tokenization fix and slicing bug

* padding config

* cleanup

* black

* update tests

* undo typo

* fix vocab caching logic

* ruff

* docbuilder

* attn fix from BlackSamorez

* initial feedback

* typo

* docs

* llama case

* llama case

* load checkpoint docs

* comment about tokenizer

* tokenizer defaults

* clear past_key_values if use_cache=False

* last tweaks

* last tweaks

* last tweaks

* last tweaks

---------
Co-authored-by: Stella Biderman <stellabiderman@gmail.com>

* Add PipelineTesterMixin

* remove class PipelineTestCaseMeta

* move validate_test_components

* Add for ViT

* Add to SPECIAL_MODULE_TO_TEST_MAP

* style and quality

* Add feature-extraction

* update

* raise instead of skip

* add tiny_model_summary.json

* more explicit

* skip tasks not in mapping

* add availability check

* Add Copyright

* A way to diable irrelevant tests

* update with main

* remove disable_irrelevant_tests

* skip tests

* better skip message

* better skip message

* Add all pipeline task tests

* revert

* Import PipelineTesterMixin

* subclass test classes with PipelineTesterMixin

* Add pipieline_model_mapping

* Fix import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix one more import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix test issues

* Fix import requirements

* Fix mapping for MobileViTModelTest

* Update

* Better skip message

* pipieline_model_mapping could not be None

* Remove some PipelineTesterMixin

* Fix typo

* revert tests_fetcher.py

* update

* rename

* revert

* Remove PipelineTestCaseMeta from ZeroShotAudioClassificationPipelineTests

* style and quality

* test fetcher for all pipeline/model tests

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

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* move generation_*.py src files into generation/*.py

* populate generation.__init__ with lazy loading

* move imports and references from generation.xxx.object to generation.object

* move test model folders (TODO: fix imports and others)

* fix (potentially partially) imports (in model test modules)

* fix (potentially partially) imports (in tokenization test modules)

* fix (potentially partially) imports (in feature extraction test modules)

* fix import utils.test_modeling_tf_core

* fix path ../fixtures/

* fix imports about generation.test_generation_flax_utils

* fix more imports

* fix fixture path

* fix get_test_dir

* update module_to_test_file

* fix get_tests_dir from wrong transformers.utils

* update config.yml (CircleCI)

* fix style

* remove missing imports

* update new model script

* update check_repo

* update SPECIAL_MODULE_TO_TEST_MAP

* fix style

* add __init__

* update self-scheduled

* fix add_new_model scripts

* check one way to get location back

* python setup.py build install

* fix import in test auto

* update self-scheduled.yml

* update slack notification script

* Add comments about artifact names

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

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* Expose get_config() on ModelTesters

* Typo

* Replace error by warning when loading an architecture in another

* Style

* Style again

* Add a test

* Adapt old test

* claiming this issue

* Integration test for BertGeneration(Encoder and Decoder)

* fix code quality

* add past_key_values

* add use_cache option

* make mask before cutting ids

* adjust position_ids according to past_key_values

* flatten past_key_values

* fix positional embeds

* fix _reorder_cache

* set use_cache to false when not decoder, fix attention mask init

* add test for caching

* add past_key_values for Roberta

* fix position embeds

* add caching test for roberta

* add doc

* make style

* doc, fix attention mask, test

* small fixes

* adress patrick's comments

* input_ids shouldn't start with pad token

* use_cache only when decoder

* make consistent with bert

* make copies consistent

* add use_cache to encoder

* add past_key_values to tapas attention

* apply suggestions from code review

* make coppies consistent

* add attn mask in tests

* remove copied from longformer

* apply suggestions from code review

* fix bart test

* nit

* simplify model outputs

* fix doc

* fix output ordering

* Add copyright everywhere missing

* Style

* Use the CI to identify failing tests

* Remove from all examples and tests

* More default switch

* Fixes

* More test fixes

* More fixes

* Last fixes hopefully

* Use the CI to identify failing tests

* Remove from all examples and tests

* More default switch

* Fixes

* More test fixes

* More fixes

* Last fixes hopefully

* Run on the real suite

* Fix slow tests

* first draft

* show design proposition for new generate method

* up

* make better readable

* make first version

* gpt2 tests pass

* make beam search for gpt2 work

* add first encoder-decoder code

* delete typo

* make t5 work

* save indermediate

* make bart work with beam search

* finish beam search bart / t5

* add default kwargs

* make more tests pass

* fix no bad words sampler

* some fixes and tests for all distribution processors

* fix test

* fix rag slow tests

* merge to master

* add nograd to generate

* make all slow tests pass

* speed up generate

* fix edge case bug

* small fix

* correct typo

* add type hints and docstrings

* fix typos in tests

* add beam search tests

* add tests for beam scorer

* fix test rag

* finish beam search tests

* move generation tests in seperate file

* fix generation tests

* more tests

* add aggressive generation tests

* fix tests

* add gpt2 sample test

* add more docstring

* add more docs

* finish doc strings

* apply some more of sylvains and sams comments

* fix some typos

* make fix copies

* apply lysandres and sylvains comments

* final corrections on examples

* small fix for reformer

* add conversion script

* improve conversion script

* make style

* add tryout files

* fix

* update

* add causal bert

* better names

* add tokenizer file as well

* finish causal_bert

* fix small bugs

* improve generate

* change naming

* renaming

* renaming

* renaming

* remove leftover files

* clean files

* add fix tokenizer

* finalize

* correct slow test

* update docs

* small fixes

* fix link

* adapt check repo

* apply sams and sylvains recommendations

* fix import

* implement Lysandres recommendations

* fix logger warn