* First draft of RWKV-4
* Add support for generate
* Style post-rebase
* Properly use state
* Write doc
* Fix doc
* More math
* Add model to README, dummies and clean config
* Fix init
* multiple fixes:
- fix common tests
- fix configuraion default values
- add CI test for checking state computation
- fix some CI tests
* correct tokenizer
* some tweaks
- fix config docstring
- fix failing tests
* fix CI tests
- add output_attention / output_hidden_states
- override test_initialization
- fix failing CIs
* fix conversion script
- fix sharded case
- add new arguments
* add slow tests + more fixes on conversion script
* add another test
* final fixes
* change single name variable
* add mock attention mask for pipeline to work
* correct eos token id
* fix nits
* add checkpoints
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add `tie_word_embeddings` in docstring
* change tensor name
* fix final nits
* Trigger CI
---------
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@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
---------
Co-authored-by: Gong Baitao <gongbaitao11@gmail.com>
* add mega file structure and plain pytorch version of mega source code
* added config class with old naming conventions
* filled in mega documentation
* added config class and embeddings with optional token types
* updated notes
* starting the conversion process, deleted intermediate and added use_cache back to config
* renamed config attributes in modeling_mega.py
* checkpointing before refactoring incremental decoding functions
* removed stateful incremental key/values for EMA and self-attention
* refactored MovingAverageGatedAttention to remove stateful k/v history and use unified attention mask
* MovingAverageGatedAttention works with incremental decoding + past values, added sequence length enforcement
* more comments in MovingAverageGatedAttention + checkpointing before GatedCrossAttention
* bug fix in attention mask handling in MovingAverageGatedAttention
* removed incremental state from GatedCrossAttention and removed IncrementalState class
* finished gated cross attention and got MegaLayer working
* fixed causal masking in mega decoder
* fixed how padding and causal masks are passed through MegaLayer with and without k/v caching
* finished MegaModel; tested with encoder, decoder-only, and cross-attention type inputs; started work on downstream classes; removed mentions of position_ids
* added optional dense hidden layer for masked and causal LM classes
* docstring updates in MultiHeadEMA and GatedCrossAttention, removed unnecessary inputs in cross-attention
* removed before_attn_fn in Mega class and updated docstrings and comments up to there
* bug fix in MovingAverageGatedAttention masking
* working conversion of MLM checkpoint in scratchpad script -- perfect matches
* moved arg for hidden dense layer in LM head to config; discovered issue where from_pretrained is renaming gamma and beta parameters
* renamed gamma and beta parameters to avoid HF renaming when loading from checkpoint
* finished checkpoint conversion script
* cleanup old class in mega config script
* removed 'copied from' statements and passing integration tests
* added num_attention_heads=1 to config for integration compatibility, decoder tests working, generation tests failing
* fixed tuple output of megamodel
* all common tests passing after fixing issues in decoder, gradient retention, and initialization
* added mega-specific tests, ready for more documentation and style checks
* updated docstrings; checkpoint before style fixes
* style and quality checks, fixed initialization problem in float_tensor, ready for PR
* added mega to toctree
* removed unnecessary arg in megaconfig
* removed unused arg and fixed code samples with leftover roberta models
* Apply suggestions from code review
Applied all suggestions except the one renaming a class, as I'll need to update that througout
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* fixed issue where .view breaks batch dimension, conversion script fixed with absolute imports, updated readme with Mega->MEGA
* removed asserts in Mega code, renamed sequencenorm, gatedcrossattention, and NFFN, replaced get_activation_fn with ACTFN, and added sequencenorm to layer norms
* reformatted .forward() docstrings to match style and removed unused mask input in cross-attention
* removed all reset_parameters() methods and rolled into MegaPreTrainedModel._init_weights()
* renamed all single-letter variables and improved readability in tensor size comments, Mega->MEGA in 2 documentation files
* variable names in NFFN
* manual Mega->MEGA changes in docs
* Mega->MEGA in config auto
* style and quality fixes
* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* renamed parameters and variables with confusing names, added copied from statements, moved fft conv to its own method, other cleanup from PR comments
* commit before dealing with merge conflicts
* made new attention activation functions available in ACT2FN and added generation test from OPT
* style and quality in activations and tests
* documentation fixes, renaming variables in dropout and rotary positions, used built-in causal masking, encoders->layers in MegaModel, moved comments into docstrings
* style and quality fixes after latest updates, before rotary position ids
* causal mask in MegaBlock docstring + added missing device passing
* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* added Mega prefixes where missing, reverted MegaSequenceNorm to if-else, other module renaming requested in PR
* style and quality fixes + readme updates pointing to main
---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Add X-MOD to Readme
* Add documentation for X-MOD
* Implement X-MOD
* Fix formatting of X-MOD docs
* Change signature of X-MOD forward methods to use lang_ids
* Minor changes
* Rebase with main and run make fix-copies
* Make suggested changes to docstrings
* Improve code readability
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
* Fix code style
* Conversion script: Remove asserts and type annotations
* Remove _TOKENIZER_FOR_DOC
* XMOD -> Xmod
* Update copyright note
* Fix doctests
* Fix docstring
* Add integration test for FillMaskPipeline
* Revert "Add integration test for FillMaskPipeline"
This reverts commit 4381eb3b1d0f5d85785f89caba83928e6efa6d1f.
* Add end-to-end integration test for mask fill
* make style
* Rebase with main and make fix-copies
---------
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
* initial commit. added tip placeholders and a script
* removed unused imports, fixed paths
* fixed generated links
* make style
* split language modeling doc into two: causal language modeling and masked language modeling
* added check_task_guides.py to make fix-copies
* review feedback addressed
* Update TF fine-tuning docs
* Fix formatting
* Add some section headers so the right sidebar works better
* Squiggly it
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Explain things in the text, not the comments
* Make the two dataset creation methods into a list
* Move the advice about collation out of a <Tip>
* Edits for clarity
* Edits for clarity
* Edits for clarity
* Replace `to_tf_dataset` with `prepare_tf_dataset` in the fine-tuning pages
* Restructure the page a little bit
* Restructure the page a little bit
* Restructure the page a little bit
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
