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39 Commits
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Aymeric Roucher
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9ad4c93536
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Add Aria (#34157)
* Add Aria --------- Co-authored-by: Cyril Vallez <cyril.vallez@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Arthur
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c1c7e89620
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Fix Gradient Accumulation issue (#34191)
* quick fix * 3 losses * oups * fix * nits * check how it scales for special models * propagate for conditiona detr * propagate * propagate * propagate * fixes * propagate changes * update * fixup * nits * f string * fixes * more fixes * ? * nit * arg annoying f string * nits * grumble * update * nit * refactor * fix fetch tests * nit * nit * Update src/transformers/loss/loss_utils.py Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com> * update * nit * fixup * make pass * nits * port code to more models * fixup * ntis * arf * update * update * nits * update * fix * update * nits * fine * agjkfslga.jsdlkgjklas * nits * fix fx? * update * update * styel * fix imports * update * update * fixup to fix the torch fx? --------- Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com> |
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Raushan Turganbay
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fd70464fa7
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Fix flaky tests (#34069)
* fix mllama only * allow image token index |
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pglorio
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f319ba16fa
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Add Zamba (#30950)
* Update index.md * Rebase * Rebase * Updates from make fixup * Update zamba.md * Batched inference * Update * Fix tests * Fix tests * Fix tests * Fix tests * Update docs/source/en/model_doc/zamba.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/model_doc/zamba.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update configuration_zamba.py * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update modeling_zamba.py * Update modeling_zamba.py * Update modeling_zamba.py * Update configuration_zamba.py * Update modeling_zamba.py * Update modeling_zamba.py * Merge branch 'main' of https://github.com/Zyphra/transformers_zamba * Update ZambaForCausalLM * Update ZambaForCausalLM * Describe diffs with original mamba layer * Moved mamba init into `_init_weights` * Update index.md * Rebase * Rebase * Updates from make fixup * Update zamba.md * Batched inference * Update * Fix tests * Fix tests * Fix tests * Fix tests * Update docs/source/en/model_doc/zamba.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/model_doc/zamba.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update configuration_zamba.py * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update modeling_zamba.py * Update modeling_zamba.py * Update modeling_zamba.py * Update configuration_zamba.py * Update modeling_zamba.py * Update modeling_zamba.py * Merge branch 'main' of https://github.com/Zyphra/transformers_zamba * Update ZambaForCausalLM * Moved mamba init into `_init_weights` * Update ZambaForCausalLM * Describe diffs with original mamba layer * make fixup fixes * quality test fixes * Fix Zamba model path * circleci fixes * circleci fixes * circleci fixes * circleci fixes * circleci fixes * circleci fixes * circleci fixes * circleci fixes * circleci fixes * Update * circleci fixes * fix zamba test from merge * fix ValueError for disabling mamba kernels * add HF copyright Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * shared_transf --> shared_transformer * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Fixes * Move attention head dim to config * Fix circle/ci tests * Update modeling_zamba.py * apply GenerationMixin inheritance change from upstream * apply import ordering * update needed transformers version for zamba Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * add contribution author * add @slow to avoid CI * Update src/transformers/models/zamba/modeling_zamba.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Define attention_hidden_size * Added doc for attention_head_size * trigger CI * Fix doc of attention_hidden_size * [run-slow] zamba * Fixed shared layer logic, swapped up<->gate in mlp * shared_transformer -> shared_transf * reformat HybridLayer __init__ * fix docstrings in zamba config * added definition of _get_input_ids_and_config * fixed formatting of _get_input_ids_and_config --------- Co-authored-by: root <root@node-4.us-southcentral1-a.compute.internal> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: root <root@node-1.us-southcentral1-a.compute.internal> Co-authored-by: Quentin Anthony <qganthony@yahoo.com> |
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Arthur
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19d58d31f1
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Add MLLama (#33703)
* current changes
* nit
* Add cross_attenttion_mask to processor
* multi-image fixed
* Add cross_attenttion_mask to processor
* cross attn works in all cases
* WIP refactoring function for image processor
* WIP refactoring image processor functions
* Refactor preprocess to use global loops instead of list nested list comps
* Docstrings
* Add channels unification
* fix dtype issues
* Update docsrings and format
* Consistent max_image_tiles
* current script
* updates
* Add convert to rgb
* Add image processor tests
* updates!
* update
* god damn it I am dumb sometimes
* Precompute aspect ratios
* now this works, full match
* fix 😉
* nits
* style
* fix model and conversion
* nit
* nit
* kinda works
* hack for sdpa non-contiguous bias
* nits here and there
* latest c hanges
* merge?
* run forward
* Add aspect_ratio_mask
* vision attention mask
* update script and config variable names
* nit
* nits
* be able to load
* style
* nits
* there
* nits
* make forward run
* small update
* enable generation multi-turn
* nit
* nit
* Clean up a bit for errors and typos
* A bit more constant fixes
* 90B keys and shapes match
* Fix for 11B model
* Fixup, remove debug part
* Docs
* Make max_aspect_ratio_id to be minimal
* Update image processing code to match new implementation
* Adjust conversion for final checkpoint state
* Change dim in repeat_interleave (accordig to meta code)
* tmp fix for num_tiles
* Fix for conversion (gate<->up, q/k_proj rope permute)
* nits
* codestyle
* Vision encoder fixes
* pass cross attn mask further
* Refactor aspect ratio mask
* Disable text-only generation
* Fix cross attention layers order, remove q/k norm rotation for cross atention layers
* Refactor gated position embeddings
* fix bugs but needs test with new weights
* rope scaling should be llama3
* Fix rope scaling name
* Remove debug for linear layer
* fix copies
* Make mask prepare private func
* Remove linear patch embed
* Make precomputed embeddings as nn.Embedding module
* MllamaPrecomputedAspectRatioEmbedding with config init
* Remove unused self.output_dim
* nit, intermediate layers
* Rename ln and pos_embed
* vision_chunk_size -> image_size
* return_intermediate -> intermediate_layers_indices
* vision_input_dim -> hidden_size
* Fix copied from statements
* fix most tests
* Fix more copied from
* layer_id->layer_idx
* Comment
* Fix tests for processor
* Copied from for _prepare_4d_causal_attention_mask_with_cache_position
* Style fix
* Add MllamaForCausalLM
* WIP fixing tests
* Remove duplicated layers
* Remove dummy file
* Fix style
* Fix consistency
* Fix some TODOs
* fix language_model instantiation, add docstring
* Move docstring, remove todos for precomputed embeds (we cannot init them properly)
* Add initial docstrings
* Fix
* fix some tests
* lets skip these
* nits, remove print, style
* Add one more copied from
* Improve test message
* Make validate func private
* Fix dummy objects
* Refactor `data_format` a bit + add comment
* typos/nits
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
* fix dummy objects and imports
* Add chat template config json
* remove num_kv_heads from vision attention
* fix
* move some commits and add more tests
* fix test
* Remove `update_key_name` from modeling utils
* remove num-kv-heads again
* some prelimiary docs
* Update chat template + tests
* nit, conversion script max_num_tiles from params
* Fix warning for text-only generation
* Update conversion script for instruct models
* Update chat template in converstion + test
* add tests for CausalLM model
* model_max_length, avoid null chat_template
* Refactor conversion script
* Fix forward
* Fix integration tests
* Refactor vision config + docs
* Fix default
* Refactor text config
* Doc fixes
* Remove unused args, fix docs example
* Squashed commit of the following:
commit b51ce5a2efffbecdefbf6fc92ee87372ec9d8830
Author: qubvel <qubvel@gmail.com>
Date: Wed Sep 18 13:39:15 2024 +0000
Move model + add output hidden states and output attentions
* Fix num_channels
* Add mllama text and mllama vision models
* Fixing repo consistency
* Style fix
* Fixing repo consistency
* Fixing unused config params
* Fix failed tests after refactoring
* hidden_activation -> hidden_act for text mlp
* Remove from_pretrained from sub-configs
* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/mllama/convert_mllama_weights_to_hf.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Reuse lambda in conversion script
* Remove run.py
* Update docs/source/en/model_doc/mllama.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/mllama/processing_mllama.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Remove unused LlamaTokenizerFast
* Fix logging
* Refactor gating
* Remove cycle for collecting intermediate states
* Refactor text-only check, add integration test for text-only
* Revert from pretrained to configs
* Fix example
* Add auto `bos_token` adding in processor
* Fix tips
* Update src/transformers/models/auto/tokenization_auto.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Enable supports_gradient_checkpointing model flag
* add eager/sdpa options
* don't skip attn tests and bring back GC skips (did i really remove those?)
* Fix signature, but get error with None gradient
* Fix output attention tests
* Disable GC back
* Change no split modules
* Fix dropout
* Style
* Add Mllama to sdpa list
* Add post init for vision model
* Refine config for MllamaForCausalLMModelTest and skipped tests for CausalLM model
* if skipped, say it, don't pass
* Clean vision tester config
* Doc for args
* Update tests/models/mllama/test_modeling_mllama.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Add cross_attention_mask to test
* typehint
* Remove todo
* Enable gradient checkpointing
* Docstring
* Style
* Fixing and skipping some tests for new cache
* Mark flaky test
* Skip `test_sdpa_can_compile_dynamic` test
* Fixing some offload tests
* Add direct GenerationMixin inheritance
* Remove unused code
* Add initializer_range to vision config
* update the test to make sure we show if split
* fix gc?
* Fix repo consistency
* Undo modeling utils debug changes
* Fix link
* mllama -> Mllama
* [mllama] -> [Mllama]
* Enable compile test for CausalLM model (text-only)
* Fix TextModel prefix
* Update doc
* Docs for forward, type hints, and vision model prefix
* make sure to reset
* fix init
* small script refactor and styling
* nit
* updates!
* some nits
* Interpolate embeddings for 560 size and update integration tests
* nit
* does not suppor static cache!
* update
* fix
* nit2
* this?
* Fix conversion
* Style
* 4x memory improvement with image cache AFAIK
* Token decorator for tests
* Skip failing tests
* update processor errors
* fix split issues
* style
* weird
* style
* fix failing tests
* update
* nit fixing the whisper tests
* fix path
* update
---------
Co-authored-by: raushan <raushan@huggingface.co>
Co-authored-by: pavel <ubuntu@ip-10-90-0-11.ec2.internal>
Co-authored-by: qubvel <qubvel@gmail.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
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Joao Gante
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238b13478d
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Gemma2: fix config initialization (cache_implementation) (#33684)
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Shijie
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19e6e80e10
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support qwen2-vl (#32318)
* support-qwen2-vl * tidy * tidy * tidy * tidy * tidy * tidy * tidy * hyphen->underscore * make style * add-flash2-tipd * delete-tokenize=False * remove-image_processor-in-init-file * add-qwen2_vl-in-MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES * format-doct * support-Qwen2VLVisionConfig * remove-standardize_cache_format * fix-letter-varaibles * remove-torch-in-image-processor * remove-useless-docstring * fix-one-letter-varaible-name * change-block-name * default-quick-gelu-in-vision * remove-useless-doc * use-preimplemented-flash-forward * fix-doc * fix-image-processing-doc * fix-apply-rotary-embed * fix-flash-attn-sliding-window * refactor * remove-default_template * remove-reorder_cache * simple-get-rope_deltas * update-prepare_inputs_for_generation * update-attention-mask * update-rotary_seq_len * remove-state * kv_seq_length * remove-warning * _supports_static_cache * remove-legacy-cache * refactor * fix-replace * mrope-section-doc * code-quality * code-quality * polish-doc * fix-image-processing-test * update readme * Update qwen2_vl.md * fix-test * Update qwen2_vl.md * nit * processor-kwargs * hard-code-norm_layer * code-quality * discard-pixel-values-in-gen * fix-inconsistent-error-msg * unify-image-video * hidden_act * add-docstring * vision-encode-as-PreTrainedModel * pixel-to-target-dtype * update doc and low memoryvit * format * format * channel-foramt * fix vit_flashatt * format * inherit-Qwen2VLPreTrainedModel * simplify * format-test * remove-one-line-func-in-image-processing * avoid-one-line-reshape * simplify-rotary_seq_len * avoid-single-letter-variable * no-for-loop-sdpa * avoid-single-letter-variable * remove-one-line-reshape * remove-one-line-reshape * remove-no-rope-in-vit-logic * default-mrope * add-copied-from * more-docs-for-mrope * polish-doc * comment-and-link * polish-doc * single-letter-variables * simplify-image-processing * video->images * kv_seq_len-update * vision-rope-on-the-fly * vision-eager-attention * change-processor-order --------- Co-authored-by: baishuai <baishuai.bs@alibaba-inc.com> Co-authored-by: ShuaiBai623 <43326198+ShuaiBai623@users.noreply.github.com> |
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Younes Belkada
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7c11491208
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Add new model (#32615)
* v1 - working version * fix * fix * fix * fix * rename to correct name * fix title * fixup * rename files * fix * add copied from on tests * rename to `FalconMamba` everywhere and fix bugs * fix quantization + accelerate * fix copies * add `torch.compile` support * fix tests * fix tests and add slow tests * copies on config * merge the latest changes * fix tests * add few lines about instruct * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix * fix tests --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Arthur
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e314395277
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Refactor flash attention implementation in transformers (#31446)
* dumb commit * nit * update * something like this * unpack in modeling utils * safe import * oups * update * nits * diff convert gemma * update * start propagating * udpate other modeling code as well * update for sliding window models * nits * more init cleanups * styling * fixup * noice * pass fixup * typo typing_extension -> typing_extensions * torch.nn.functionnal -> torch.nn.functional * add to import structure * unpack * simplify a bit more for this first version * nut * update * update * nit * ease the import of `Unpack` * remove useless `use_sliding_window` * no qua please * protect import? * style * [run-slow] * [run slow] llama,gemma,mistral,mixtral * remove extra kwargs * fix llama * address review comments * apply diff_model_converter to modeling_gemma.py * remove cache_position 1 * remove cache_position 2 * some cleaning * refactor gemma2 as well * apply review comments * rename file to modeling_flash_attention_utils.py * siglip refactor * remove dead code * is the hub down? * still down? * fix siglip * fix gemma2 * fatal: Could not read from remote repository. * fix typo in softcap implem * flacky * Failed: Timeout >120.0s --------- Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com> |
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Arthur
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0cf60f13ab
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Add gemma 2 (#31659)
* inital commit * Add doc * protect? * fixup stuffs * update tests * fix build documentation * mmmmmmm config attributes * style * nit * uodate * nit * Fix docs * protect some stuff --------- Co-authored-by: Lysandre <lysandre@huggingface.co> |
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amyeroberts
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a564d10afe
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Deprecate low use models (#30781)
* Deprecate models - graphormer - time_series_transformer - xlm_prophetnet - qdqbert - nat - ernie_m - tvlt - nezha - mega - jukebox - vit_hybrid - x_clip - deta - speech_to_text_2 - efficientformer - realm - gptsan_japanese * Fix up * Fix speech2text2 imports * Make sure message isn't indented * Fix docstrings * Correctly map for deprecated models from model_type * Uncomment out * Add back time series transformer and x-clip * Import fix and fix-up * Fix up with updated ruff |
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tomeras91
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3f20877da9
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Add jamba (#29943)
* Add jamba arch * apply "make fix-copies" changes * fix link to model in JambaConfig docstring * Add n_ctx in modeling file because repo-consistency wants that * Add jamba to flash attention and sdpa documentation * mamba dt_proj quant fix now works for LoRA as well * override test_left_padding_compatibility and use a more permissive tolerance. left padding numerical difference are accentuated by mamba layers * add jamba to tokenization auto * fix comments of shape (PR #24 in the model page: https://huggingface.co/ai21labs/Jamba-v0.1/discussions/24) * simple PR fixes * remove unnecessary kwargs from JambaAttentionDecoderLayer and JambaMambaDecoderLayer * remove the LoRA hack for the mamba dt_proj bias. It was solved in huggingface/peft#1530 (https://github.com/huggingface/peft/pull/1530) * Add copied comment on JambaMLP (it's the same as MixtralMLP) * remove padding_mask warnings. It's not supported anymore * fix docstring. Float instead of int * A few more minor PR fixes * (1) lowercase names for mamba layernorms (2) remove _apply_inner_layernorms and do it directly in the forward pass * Return None attention weights from mamba layers. Append to all attentions only if not None. * remove some leftover jamba archive lists * Better separation between expert vs non-expert layers. non-expert layers return None as router_logits, and it is not concatenated to all_router_logits returned from JambaModel * no need to take router_logits at config.expert_layer_offset anymore. result.router_logits now holds results only for expert layers * Add Jamba paper on READMEs * (1) rename n_ctx -> max_position_embeddings (2) don't use it in the modeling file since it's not needed (set it as an exception to check_config_attributes) * Add copied from comment * remove the code path for apply_inner_layernorms=False. Jamba always has the inner mamba layernorms * clearer docstring for _convert_to_standard_cache * style fixes * Change calc_logits_for_entire_prompt (bool) to num_logits_to_keep (int). Adapt assisted decoding code tp use it. Also small change in low memory beam search decoding path to support this new int value in model_inputs * rename test so it still overrides what its meant to override * draft * oups * nit * remove more complexe logic * fix names used in config * fix fix fix * style * fix some more failing tests * generate did not init the cache 🙃 * more small nits * typo * config.mamba_expand * config.hidden_size for the intermediate size of the mamba shapes * fix init of pkv with torch.tensor() * empty tensor * fix some init issues * stupid changes required by generate because it does not even support it's own DynamicCache class * more fixes * fix general assisted gen cache_position bug * tests passing * Add offsets and periods as SPECIAL_CASES_TO_ALLOW in check_config_attributes.py * fix reorder_cache to reorder mamba states and override some more functions in HybridMambaAttentionDynamicCache * no need to override test_past_key_values_format() and _check_past_key_values_for_generate() in tests anymore * fix docstrings and typehints for past_key_values * style fixes * fix docs * change typehint due to copy from Mixtral * forgot import * import order * Add configuration_jamba and modeling_jamba to not_doctested because the model is too big to download (in docstring of JambaForCausalLM.forward) * Add integration test with tiny tandom Jamba model on hub * fix flash attention cache shapes * bring back forgotten hidden states * rename HybridMambaAttentionDynamicCache.seqlen_offset to has_previous_state (and make bool) and bugfix - it should be set to True after a finished forward pass of the entire model * align integration test after modeling fixes * bugfix - mamba can use precomputed states only of forward pass is on a single token * bugfix - mamba can use precomputed states only if they match the batch size * typo * remove making _prepare_4d_causal_attention_mask a leaf function * stop using past_seq_len.get_seq_length(). Use cache positions instead. Adjust test (test_decoder_model_past_with_large_inputs) accordingly --------- Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by: Joao Gante <joao@huggingface.co> |
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Arthur
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0fe44059ae
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Add recurrent gemma (#30143)
* Fork. * RecurrentGemma initial commit. * Updating __init__.py. * Minor modification to how we initialize the cache. Changing how the config specifies the architecture. * Reformat code to 4 spaces. Fixed a few typos. * Fixed the forward pass. Still unclear on the cache? * Fixed the RecurrentGemmaForCausalLM * Minor comment that we might not need attention_mask and output_attention arguments. * Now cache should work as well. * Adding a temporary example to check whether the model generation works. * Adding the tests and updating imports. * Adding the example file missing in the previous commit. * First working example. * Removing .gitignore and reverting parts of __init__. * Re-add .gitignore. * Addressing comments for configuration. * Move mask creation to `_prepare_inputs_for_generation`. * First try at integration tests: 1. AttributeError: 'GriffinCausalLMOutput' object has no attribute 'attentions'. 2. `cache_position` not passed * Transfoering between machines. * Running normal tests. * Minor fix. * More fixes. * Addressing more comments. * Minor fixes. * first stab at cleanup * more refactoring * fix copies and else * renaming and get init to work * fix causal mask creation * update * nit * fix a hell lot of things * updates * update conversion script * make all keys importable * nits * add auto mappings * properly convert ffw_up and down * add scaling * fix generations * for recurrent dtype * update * fix going beyong window * fixup * add missing files * current updates to remove last einops * finish modeling refactor * TADA * fix compile * fix most failing testt ? ? * update tests * refactor and update * update * nits, fixup and update tests * more fixup * nits * fix imports * test format * fixups * nits * tuple typing * fix code quality * add model card * fix doc * skip most generation tests * nits * style * doc fixes * fix pr and check_copies? * last nit * oupsy * Apply suggestions from code review Co-authored-by: Lysandre Debut <hi@lysand.re> * update * Update src/transformers/models/recurrent_gemma/convert_recurrent_gemma_to_hf.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/recurrent_gemma/test_modeling_recurrent_gemma.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * update based on review * doc nit * fix quality * quality * fix slow test model path * update default dype * ignore attributes that can be safely ignored in check config attributes * 0lallalala come on * save nit * style * remove to dict update * make sure we can also run in float16 * style --------- Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com> Co-authored-by: Aleksandar Botev <botev@google.com> Co-authored-by: Leonard Berrada <lberrada@users.noreply.github.com> Co-authored-by: anushanf <anushanf@google.com> Co-authored-by: botev <botevmg@gmail.com> Co-authored-by: Lysandre Debut <hi@lysand.re> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Arthur
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fb1c62e973
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[Add Mamba] Adds support for the Mamba models (#28094)
* initial-commit
* start cleaning
* small nits
* small nits
* current updates
* add kernels
* small refactoring little step
* add comments
* styling
* nit
* nits
* Style
* Small changes
* Push dummy mambda simple slow
* nit
* Use original names
* Use original names and remove norm
* Updates for inference params
* Style nd updates
* nits
* Match logits
* Add a test
* Add expected generated text
* nits doc, imports and styling
* style
* oups
* dont install kernels, invite users to install the required kernels
* let use use the original packages
* styling
* nits
* fix some copieds
* update doc
* fix-copies
* styling done
* nits
* fix import check
* run but wrong cuda ress
* mamba CUDA works :)
* fix the fast path
* config naming nits
* conversion script is not required at this stage
* finish fixing the fast path: generation make sense now!
* nit
* Let's start working on the CIs
* style
* better style
* more nits
* test nit
* quick fix for now
* nits
* nit
* nit
* nit
* nits
* update test rest
* fixup
* update test
* nit
* some fixes
* nits
* update test values
* fix styling
* nit
* support peft
* integrations tests require torchg
* also add slow markers
* styling
* chose forward wisely
* nits
* update tests
* fix gradient checkpointing
* fixup
* nit
* fix doc
* check copies
* fix the docstring
* fix some more tests
* style
* fix beam search
* add init schene
* update
* nit
* fix
* fixup the doc
* fix the doc
* fixup
* tentative update but slow is no longer good
* nit
* should we always use float32?
* nits
* revert wrong changes
* res in float32
* cleanup
* skip fmt for now
* update generation values
* update test values running original model
* fixup
* update tests + rename inference_params to cache_params + make sure training does not use cache_params
* small nits
* more nits
* fix final CIs
* style
* nit doc
* I hope final doc nits
* nit
* 🫠
* final touch!
* fix torch import
* Apply suggestions from code review
Co-authored-by: Lysandre Debut <hi@lysand.re>
* Apply suggestions from code review
* fix fix and fix
* fix base model prefix!
* nit
* Update src/transformers/models/mamba/__init__.py
* Update docs/source/en/model_doc/mamba.md
Co-authored-by: Lysandre Debut <hi@lysand.re>
* nit
---------
Co-authored-by: Lysandre Debut <hi@lysand.re>
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NielsRogge
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836921fdeb
|
Add UDOP (#22940)
* First draft
* More improvements
* More improvements
* More fixes
* Fix copies
* More improvements
* More fixes
* More improvements
* Convert checkpoint
* More improvements, set up tests
* Fix more tests
* Add UdopModel
* More improvements
* Fix equivalence test
* More fixes
* Redesign model
* Extend conversion script
* Use real inputs for conversion script
* Add image processor
* Improve conversion script
* Add UdopTokenizer
* Add fast tokenizer
* Add converter
* Update README's
* Add processor
* Add fully fledged tokenizer
* Add fast tokenizer
* Use processor in conversion script
* Add tokenizer tests
* Fix one more test
* Fix more tests
* Fix tokenizer tests
* Enable fast tokenizer tests
* Fix more tests
* Fix additional_special_tokens of fast tokenizer
* Fix tokenizer tests
* Fix more tests
* Fix equivalence test
* Rename image to pixel_values
* Rename seg_data to bbox
* More renamings
* Remove vis_special_token
* More improvements
* Add docs
* Fix copied from
* Update slow tokenizer
* Update fast tokenizer design
* Make text input optional
* Add first draft of processor tests
* Fix more processor tests
* Fix decoder_start_token_id
* Fix test_initialization
* Add integration test
* More improvements
* Improve processor, add test
* Add more copied from
* Add more copied from
* Add more copied from
* Add more copied from
* Remove print statement
* Update README and auto mapping
* Delete files
* Delete another file
* Remove code
* Fix test
* Fix docs
* Remove asserts
* Add doc tests
* Include UDOP in exotic model tests
* Add expected tesseract decodings
* Add sentencepiece
* Use same design as T5
* Add UdopEncoderModel
* Add UdopEncoderModel to tests
* More fixes
* Fix fast tokenizer
* Fix one more test
* Remove parallelisable attribute
* Fix copies
* Remove legacy file
* Copy from T5Tokenizer
* Fix rebase
* More fixes, copy from T5
* More fixes
* Fix init
* Use ArthurZ/udop for tests
* Make all model tests pass
* Remove UdopForConditionalGeneration from auto mapping
* Fix more tests
* fixups
* more fixups
* fix the tokenizers
* remove un-necessary changes
* nits
* nits
* replace truncate_sequences_boxes with truncate_sequences for fix-copies
* nit current path
* add a test for input ids
* ids that we should get taken from
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amyeroberts
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0199a484eb
|
Backbone kwargs in config (#28784)
* Enable instantiating model with pretrained backbone weights * Clarify pretrained import * Use load_backbone instead * Add backbone_kwargs to config * Pass kwargs to constructors * Fix up * Input verification * Add tests * Tidy up * Update tests/utils/test_backbone_utils.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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amyeroberts
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2fa1c808ae
|
[Backbone] Use load_backbone instead of AutoBackbone.from_config (#28661)
* Enable instantiating model with pretrained backbone weights * Remove doc updates until changes made in modeling code * Use load_backbone instead * Add use_timm_backbone to the model configs * Add missing imports and arguments * Update docstrings * Make sure test is properly configured * Include recent DPT updates |
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amyeroberts
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27c79a0fb4
|
Enable instantiating model with pretrained backbone weights (#28214)
* Enable instantiating model with pretrained backbone weights * Update tests so backbone checkpoint isn't passed in * Remove doc updates until changes made in modeling code * Clarify pretrained import * Update configs - docs and validation check * Update src/transformers/utils/backbone_utils.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Clarify exception message * Update config init in tests * Add test for when use_timm_backbone=True * Small test updates --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Connor Henderson
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d83ff5eeff
|
Add FastSpeech2Conformer (#23439)
* start - docs, SpeechT5 copy and rename * add relevant code from FastSpeech2 draft, have tests pass * make it an actual conformer, demo ex. * matching inference with original repo, includes debug code * refactor nn.Sequentials, start more desc. var names * more renaming * more renaming * vocoder scratchwork * matching vocoder outputs * hifigan vocoder conversion script * convert model script, rename some config vars * replace postnet with speecht5's implementation * passing common tests, file cleanup * expand testing, add output hidden states and attention * tokenizer + passing tokenizer tests * variety of updates and tests * g2p_en pckg setup * import structure edits * docstrings and cleanup * repo consistency * deps * small cleanup * forward signature param order * address comments except for masks and labels * address comments on attention_mask and labels * address second round of comments * remove old unneeded line * address comments part 1 * address comments pt 2 * rename auto mapping * fixes for failing tests * address comments part 3 (bart-like, train loss) * make style * pass config where possible * add forward method + tests to WithHifiGan model * make style * address arg passing and generate_speech comments * address Arthur comments * address Arthur comments pt2 * lint changes * Sanchit comment * add g2p-en to doctest deps * move up self.encoder * onnx compatible tensor method * fix is symbolic * fix paper url * move models to espnet org * make style * make fix-copies * update docstring * Arthur comments * update docstring w/ new updates * add model architecture images * header size * md wording update * make style |
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Yoach Lacombe
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29f1aee3b6
|
Add SeamlessM4T v2 (#27779)
* add working convertion script * first non-working version of modeling code * update modeling code (working) * make style * make fix-copies * add config docstrings * add config to ignore docstrings formatage due to unconventional markdown * fix copies * fix generation num_return_sequences * enrich docs * add and fix tests beside integration tests * update integration tests * update repo id * add tie weights and make style * correct naming in .md * fix imports and so on * correct docstrings * fix fp16 speech forward * fix speechencoder attention * make style * fix copied from * rename SeamlessM4Tv2-v2 to SeamlessM4Tv2 * Apply suggestions on configuration Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove useless public models * fix private models + better naming for T2U models * clean speech encoder relative position embeddings * refactor chunk attention * add docstrings to chunk attention method * improve naming and docstrings * rename some attention variables + add temperature sampling in T2U model * rename DOCSTRINGS variable names * make style + remove 2 useless config parameters * enrich model card * remove any attention_head reference + fix temperature in T2U * new fmt and make style * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * rename spkr_id->speaker_id and change docstrings of get_char_input_ids * simplify v2attention * make style * Update seamless_m4t_v2.md * update code and tests with last update * update repo ids * fill article name, abstract andauthors * update not_doctested and slow_doc tests --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Yih-Dar
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7293fdc5b9
|
Deprecate TransfoXL (#27607)
* fix * fix * trigger * Apply suggestions from code review Co-authored-by: Lysandre Debut <hi@lysand.re> * tic * revert * revert --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: Lysandre Debut <hi@lysand.re> |
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Yoach Lacombe
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cb45f71c4d
|
Add Seamless M4T model (#25693)
* first raw commit * still POC * tentative convert script * almost working speech encoder conversion scripts * intermediate code for encoder/decoders * add modeling code * first version of speech encoder * make style * add new adapter layer architecture * add adapter block * add first tentative config * add working speech encoder conversion * base model convert works now * make style * remove unnecessary classes * remove unecessary functions * add modeling code speech encoder * rework logics * forward pass of sub components work * add modeling codes * some config modifs and modeling code modifs * save WIP * new edits * same output speech encoder * correct attention mask * correct attention mask * fix generation * new generation logics * erase comments * make style * fix typo * add some descriptions * new state * clean imports * add tests * make style * make beam search and num_return_sequences>1 works * correct edge case issue * correct SeamlessM4TConformerSamePadLayer copied from * replace ACT2FN relu by nn.relu * remove unecessary return variable * move back a class * change name conformer_attention_mask ->conv_attention_mask * better nit code * add some Copied from statements * small nits * small nit in dict.get * rename t2u model -> conditionalgeneration * ongoing refactoring of structure * update models architecture * remove SeamlessM4TMultiModal classes * add tests * adapt tests * some non-working code for vocoder * add seamlessM4T vocoder * remove buggy line * fix some hifigan related bugs * remove hifigan specifc config * change * add WIP tokenization * add seamlessM4T working tokenzier * update tokenization * add tentative feature extractor * Update converting script * update working FE * refactor input_values -> input_features * update FE * changes in generation, tokenizer and modeling * make style and add t2u_decoder_input_ids * add intermediate outputs for ToSpeech models * add vocoder to speech models * update valueerror * update FE with languages * add vocoder convert * update config docstrings and names * update generation code and configuration * remove todos and update config.pad_token_id to generation_config.pad_token_id * move block vocoder * remove unecessary code and uniformize tospeech code * add feature extractor import * make style and fix some copies from * correct consistency + make fix-copies * add processor code * remove comments * add fast tokenizer support * correct pad_token_id in M4TModel * correct config * update tests and codes + make style * make some suggested correstion - correct comments and change naming * rename some attributes * rename some attributes * remove unecessary sequential * remove option to use dur predictor * nit * refactor hifigan * replace normalize_mean and normalize_var with do_normalize + save lang ids to generation config * add tests * change tgt_lang logic * update generation ToSpeech * add support import SeamlessM4TProcessor * fix generate * make tests * update integration tests, add option to only return text and update tokenizer fast * fix wrong function call * update import and convert script * update integration tests + update repo id * correct paths and add first test * update how new attention masks are computed * update tests * take first care of batching in vocoder code * add batching with the vocoder * add waveform lengths to model outputs * make style * add generate kwargs + forward kwargs of M4TModel * add docstrings forward methods * reformate docstrings * add docstrings t2u model * add another round of modeling docstrings + reformate speaker_id -> spkr_id * make style * fix check_repo * make style * add seamlessm4t to toctree * correct check_config_attributes * write config docstrings + some modifs * make style * add docstrings tokenizer * add docstrings to processor, fe and tokenizers * make style * write first version of model docs * fix FE + correct FE test * fix tokenizer + add correct integration tests * fix most tokenization tests * make style * correct most processor test * add generation tests and fix num_return_sequences > 1 * correct integration tests -still one left * make style * correct position embedding * change numbeams to 1 * refactor some modeling code and correct one test * make style * correct typo * refactor intermediate fnn * refactor feedforward conformer * make style * remove comments * make style * fix tokenizer tests * make style * correct processor tests * make style * correct S2TT integration * Apply suggestions from Sanchit code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * correct typo * replace torch.nn->nn + make style * change Output naming (waveforms -> waveform) and ordering * nit renaming and formating * remove return None when not necessary * refactor SeamlessM4TConformerFeedForward * nit typo * remove almost copied from comments * add a copied from comment and remove an unecessary dropout * remove inputs_embeds from speechencoder * remove backward compatibiliy function * reformate class docstrings for a few components * remove unecessary methods * split over 2 lines smthg hard to read * make style * replace two steps offset by one step as suggested * nice typo * move warnings * remove useless lines from processor * make generation non-standard test more robusts * remove torch.inference_mode from tests * split integration tests * enrich md * rename control_symbol_vocoder_offset->vocoder_offset * clean convert file * remove tgt_lang and src_lang from FE * change generate docstring of ToText models * update generate docstring of tospeech models * unify how to deal withtext_decoder_input_ids * add default spkr_id * unify tgt_lang for t2u_model * simplify tgt_lang verification * remove a todo * change config docstring * make style * simplify t2u_tgt_lang_id * make style * enrich/correct comments * enrich .md * correct typo in docstrings * add torchaudio dependency * update tokenizer * make style and fix copies * modify SeamlessM4TConverter with new tokenizer behaviour * make style * correct small typo docs * fix import * update docs and add requirement to tests * add convert_fairseq2_to_hf in utils/not_doctested.txt * update FE * fix imports and make style * remove torchaudio in FE test * add seamless_m4t.md to utils/not_doctested.txt * nits and change the way docstring dataset is loaded * move checkpoints from ylacombe/ to facebook/ orga * refactor warning/error to be in the 119 line width limit * round overly precised floats * add stereo audio behaviour * refactor .md and make style * enrich docs with more precised architecture description * readd undocumented models * make fix-copies * apply some suggestions * Apply suggestions from code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * correct bug from previous commit * refactor a parameter allowing to clean the code + some small nits * clean tokenizer * make style and fix * make style * clean tokenizers arguments * add precisions for some tests * move docs from not_tested to slow * modify tokenizer according to last comments * add copied from statements in tests * correct convert script * correct parameter docstring style * correct tokenization * correct multi gpus * make style * clean modeling code * make style * add copied from statements * add copied statements * add support with ASR pipeline * remove file added inadvertently * fix docstrings seamlessM4TModel * add seamlessM4TConfig to OBJECTS_TO_IGNORE due of unconventional markdown * add seamlessm4t to assisted generation ignored models --------- Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Pablo Montalvo
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caa0ff0bf1
|
Add fuyu model (#26911)
* initial commit * add processor, add fuyu naming * add draft processor * fix processor * remove dropout to fix loading of weights * add image processing fixes from Pedro * fix * fix processor * add basic processing fuyu test * add documentation and TODO * address comments, add tests, add doc * replace assert with torch asserts * add Mixins and fix tests * clean imports * add model tester, clean imports * fix embedding test * add updated tests from pre-release model * Processor: return input_ids used for inference * separate processing and model tests * relax test tolerance for embeddings * add test for logit comparison * make sure fuyu image processor is imported in the init * fix formattingh * more formatting issues * and more * fixups * remove some stuff * nits * update init * remove the fuyu file * Update integration test with release model * Update conversion script. The projection is not used, as confirmed by the authors. * improve geenration * Remove duplicate function * Trickle down patches to model call * processing fuyu updates * remove things * fix prepare_inputs_for_generation to fix generate() * remove model_input * update * add generation tests * nits * draft leverage automodel and autoconfig * nits * fix dtype patch * address comments, update READMEs and doc, include tests * add working processing test, remove refs to subsequences * add tests, remove Sequence classification * processing * update * update the conversion script * more processing cleanup * safe import * take out ModelTesterMixin for early release * more cl;eanup * more cleanup * more cleanup * and more * register a buffer * nits * add postprocessing of generate output * nits * updates * add one working test * fix test * make fixup works * fixup * Arthur's updates * nits * update * update * fix processor * update tests * passe more fixups * fix * nits * don't import torch * skip fuyu config for now * fixup done * fixup * update * oups * nits * Use input embeddings * no buffer * update * styling processing fuyu * fix test * update licence * protect torch import * fixup and update not doctested * kwargs should be passed * udpates * update the impofixuprts in the test * protect import * protecting imports * protect imports in type checking * add testing decorators * protect top level import structure * fix typo * fix check init * move requires_backend to functions * Imports * Protect types --------- Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: ArthurZucker <arthur.zucker@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Lysandre <lysandre@huggingface.co> |
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Matthijs Hollemans
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4ece3b9433
|
add VITS model (#24085)
* add VITS model
* let's vits
* finish TextEncoder (mostly)
* rename VITS to Vits
* add StochasticDurationPredictor
* ads flow model
* add generator
* correctly set vocab size
* add tokenizer
* remove processor & feature extractor
* add PosteriorEncoder
* add missing weights to SDP
* also convert LJSpeech and VCTK checkpoints
* add training stuff in forward
* add placeholder tests for tokenizer
* add placeholder tests for model
* starting cleanup
* let the great renaming begin!
* use config
* global_conditioning
* more cleaning
* renaming variables
* more renaming
* more renaming
* it never ends
* reticulating the splines
* more renaming
* HiFi-GAN
* doc strings for main model
* fixup
* fix-copies
* don't make it a PreTrainedModel
* fixup
* rename config options
* remove training logic from forward pass
* simplify relative position
* use actual checkpoint
* style
* PR review fixes
* more review changes
* fixup
* more unit tests
* fixup
* fix doc test
* add integration test
* improve tokenizer tests
* add tokenizer integration test
* fix tests on GPU (gave OOM)
* conversion script can handle repos from hub
* add conversion script for all MMS-TTS checkpoints
* automatically create a README for the converted checkpoint
* small changes to config
* push README to hub
* only show uroman note for checkpoints that need it
* remove conversion script because code formatting breaks the readme
* make WaveNet layers configurable
* rename variables
* simplifying the math
* output attentions and hidden states
* remove VitsFlip in flow model
* also got rid of the other flip
* fix tests
* rename more variables
* rename tokenizer, add phonemization
* raise error when phonemizer missing
* re-order config docstrings to match method
* change config naming
* remove redundant str -> list
* fix copyright: vits authors -> kakao enterprise
* (mean, log_variances) -> (prior_mean, prior_log_variances)
* if return dict -> if not return dict
* speed -> speaking rate
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* update fused tanh sigmoid
* reduce dims in tester
* audio -> output_values
* audio -> output_values in tuple out
* fix return type
* fix return type
* make _unconstrained_rational_quadratic_spline a function
* all nn's to accept a config
* add spectro to output
* move {speaking rate, noise scale, noise scale duration} to config
* path -> attn_path
* idxs -> valid idxs -> padded idxs
* output values -> waveform
* use config for attention
* make generation work
* harden integration test
* add spectrogram to dict output
* tokenizer refactor
* make style
* remove 'fake' padding token
* harden tokenizer tests
* ron norm test
* fprop / save tests deterministic
* move uroman to tokenizer as much as possible
* better logger message
* fix vivit imports
* add uroman integration test
* make style
* up
* matthijs -> sanchit-gandhi
* fix tokenizer test
* make fix-copies
* fix dict comprehension
* fix config tests
* fix model tests
* make outputs consistent with reverse/not reverse
* fix key concat
* more model details
* add author
* return dict
* speaker error
* labels error
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/vits/convert_original_checkpoint.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* remove uromanize
* add docstrings
* add docstrings for tokenizer
* upper-case skip messages
* fix return dict
* style
* finish tests
* update checkpoints
* make style
* remove doctest file
* revert
* fix docstring
* fix tokenizer
* remove uroman integration test
* add sampling rate
* fix docs / docstrings
* style
* add sr to model output
* fix outputs
* style / copies
* fix docstring
* fix copies
* remove sr from model outputs
* Update utils/documentation_tests.txt
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add sr as allowed attr
---------
Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Susnato Dhar
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450a181d8b
|
Add Pop2Piano (#21785)
* init commit * config updated also some modeling * Processor and Model config combined * extraction pipeline(upto before spectogram & mel_conditioner) added but not properly tested * model loading successful! * feature extractor done! * FE can now be called from HF * postprocessing added in fe file * same as prev commit * Pop2PianoConfig doc done * cfg docs slightly changed * fe docs done * batched * batched working! * temp * v1 * checking * trying to go with generate * with generate and model tests passed * before rebasing * . * tests done docs done remaining others & nits * nits * LogMelSpectogram shifted to FeatureExtractor * is_tf rmeoved from pop2piano/init * import solved * tokenization tests added * minor fixed regarding modeling_pop2piano * tokenizer changed to only return midi_object and other changes * Updated paper abstract(Camera-ready version) (#2) * more comments and nits * ruff changes * code quality fix * sg comments * t5 change added and rebased * comments except batching * batching done * comments * small doc fix * example removed from modeling * ckpt * forward it compatible with fe and generation done * comments * comments * code-quality fix(maybe) * ckpts changed * doc file changed from mdx to md * test fixes * tokenizer test fix * changes * nits done main changes remaining * code modified * Pop2PianoProcessor added with tests * other comments * added Pop2PianoProcessor to dummy_objects * added require_onnx to modeling file * changes * update .md file * remove extra line in index.md * back to the main index * added pop2piano to index * Added tokenizer.__call__ with valid args and batch_decode and aligned the processor part too * changes * added return types to 2 tokenizer methods * the PR build test might work now * added backends * PR build fix * vocab added * comments * refactored vocab into 1 file * added conversion script * comments * essentia version changed in .md * comments * more tokenizer tests added * minor fix * tests extended for outputs acc check * small fix --------- Co-authored-by: Jongho Choi <sweetcocoa@snu.ac.kr> |
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Stas Bekman
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6c811a322f
|
new model: IDEFICS via HuggingFaceM4 (#24796)
* rename * restore * mappings * unedited tests+docs * docs * fixes * fix auto-sync breakage * cleanup * wip * wip * add fetch_images * remove einops dependency * update * fix * fix * fix * fix * fix * re-add * add batching * rework * fix * improve * add Leo as I am extending his work * cleanup * fix * cleanup * slow-test * fix * fix * fixes * deal with warning * rename modified llama classes * rework fetch_images * alternative implementation * cleanup * strict version * cleanup * [`IDEFICS`] Fix idefics ci (#25056) * Fix IDEFICS CI * fix test file * fixup * some changes to make tests pass * fix * fixup * Update src/transformers/models/idefics/configuration_idefics.py Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> --------- Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * remove compat checks * style * explain that Idefics is not for training from scratch * require pt>=2.0 * fix idefics vision config (#25092) * fix idefics vision config * fixup * clean * Update src/transformers/models/idefics/configuration_idefics.py --------- Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * cleanup * style * cleanup * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * upcase * sequence of images * handle the case with no images * Update src/transformers/image_processing_utils.py Co-authored-by: Victor SANH <victorsanh@gmail.com> * support pure lm take 2 * support tokenizer options * parameterize num_channels * fix upcase * s|IdeficsForCausalLM|IdeficsForVisionText2Text|g * manual to one line * addressing review * unbreak * remove clip dependency * fix test * consistency * PIL import * Idefics prefix * Idefics prefix * hack to make tests work * style * fix * fix * revert * try/finally * cleanup * clean up * move * [`IDEFICS`] Fix idefics config refactor (#25149) * refactor config * nuke init weights * more refactor * oops * remove visual question answering pipeline support * Update src/transformers/models/idefics/clip.py Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> * Update src/transformers/models/idefics/modeling_idefics.py * cleanup * mv clip.py vision.py * tidyup --------- Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> Co-authored-by: Stas Bekman <stas@stason.org> * fix * license * condition on pt * fix * style * fix * rm torchvision dependency, allow custom transforms * address review * rework device arg * add_eos_token * s/transforms/transform/ * fix top level imports * fix return value * cleanup * cleanup * fix * style * license * license * Update src/transformers/models/idefics/image_processing_idefics.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add a wrapper to freeze vision layears * tidyup * use the correct std/mean settings * parameterize values from config * add tests/models/idefics/test_image_processing_idefics.py * add test_processor_idefics.py * cleanup * cleanups * fix * fix * move to the right group * style * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add perceiver config * reset * missing arg docs * Apply suggestions from code review Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com> * address review comments * inject automatic end of utterance tokens (#25218) * inject automatic end of utterance tokens * fix * fix * fix * rework to not use the config * not end_of_utterance_token at the end * Update src/transformers/models/idefics/processing_idefics.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * address review * Apply suggestions from code review Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/image_processing_utils.py Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com> * [`Idefics`] add image_embeddings option in generate-related methods (#25442) * add image_embeddings option in generate-related methods * style * rename image_embeddings and allow perceiver embeddings precomputation * compute embeddings within generate * make is_encoder_decoder= True the default in config * nested if else fix * better triple check * switch if elif order for pixel values / img embeds * update model_kwargs perceiver only at the end * use _prepare_model_inputs instead of encoder_decoder logic * fix comment typo * fix config default for is_encoder_decoder * style * add typehints * precompute in forward * doc builder * style * pop instead of get image hidden states * Trigger CI * Update src/transformers/models/idefics/modeling_idefics.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/idefics/modeling_idefics.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix * + indentation + style * simplify a bit the use_resampler logic using comments * update diocstrings * Trigger CI --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix rebase changes * unbreak #25237 - to be fixed in follow up PRs * is_composition = False * no longer needed --------- Co-authored-by: leot13 <leo.tronchon@gmail.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Victor SANH <victorsanh@gmail.com> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Arthur
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dcb183f4bd
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[MPT] Add MosaicML's MPT model to transformers (#24629)
* draft add new model like * some cleaning of the config * nits * add nested configs * nits * update * update * added layer norms + triton kernels * consider only LPLayerNorm for now. * update * all keys match. * Update * fixing nits here and there * working forward pass. * removed einops dependency * nits * format * add alibi * byebye head mask * refactor attention * nits. * format * fix nits. * nuke ande updates * nuke tokenizer test * don't reshape query with kv heads * added a bit of documentation. * remove unneeded things * nuke more stuff * nit * logits match - same generations * rm unneeded methods * 1 remaining failing CI test * nit * fix nits * fix docs * fix docs * rm tokenizer * fixup * fixup * fixup and fix tests * fixed configuration object. * use correct activation * few minor fixes * clarify docs a bit * logits match à 1e-12 * skip and unskip a test * added some slow tests. * fix readme * add more details * Update docs/source/en/model_doc/mpt.md Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix configuration issues * more fixes in config * added more models * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove unneeded position ids * fix some comments * Apply suggestions from code review Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * revert suggestion * mpt alibi + added batched generation * Update src/transformers/models/mpt/__init__.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove init config * Update src/transformers/models/mpt/configuration_mpt.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix nit * add another slow test * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fits in one line * some refactor because make fixup doesn't pass * add ft notebook * update md * correct doc path --------- Co-authored-by: younesbelkada <younesbelkada@gmail.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Tom Aarsen
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79444f370f
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Deprecate unused OpenLlama architecture (#24922)
* Resolve typo in check_repo.py * Specify encoding when opening modeling files * Deprecate the OpenLlama architecture * Add disclaimer pointing to Llama I'm open to different wordings here * Match the capitalisation of LLaMA |
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Sylvain Gugger
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9342c8fb82
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Deprecate models (#24787)
* Deprecate some models * Fix imports * Fix inits too * Remove tests * Add deprecated banner to documentation * Remove from init * Fix auto classes * Style * Remote upgrade strategy 1 * Remove site package cache * Revert this part * Fix typo... * Update utils * Update docs/source/en/model_doc/bort.md Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> * Address review comments * With all files saved --------- Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> |
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Arthur
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fb78769b9c
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[MT5] Fix CONFIG_MAPPING issue leading it to load umt5 class (#24678)
* update * add umt5 to auto tokenizer mapping * nits * fixup * fix failing torch test |
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Yih-Dar
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7504be35ab
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Fix check_config_attributes: check all configuration classes (#24231)
* fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Matthijs Hollemans
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0c3fdccf2f
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[WIP] add EnCodec model (#23655)
* boilerplate stuff * messing around with the feature extractor * fix feature extractor * unit tests for feature extractor * rename speech to audio * quick-and-dirty import of Meta's code * import weights (sort of) * cleaning up * more cleaning up * move encoder/decoder args into config * cleanup model * rename EnCodec -> Encodec * RVQ parameters in config * add slow test * add lstm init and test_init * Add save & load * finish EncodecModel * remove decoder_input_values as they are ont used anywhere (not removed from doc yet) * fix test feature extraction model name * Add better slow test * Fix tests * some fixup and cleaning * Improve further * cleaning up quantizer * fix up conversion script * test don't pass, _encode_fram does not work * update tests with output per encode and decode * more cleanup * rename _codebook * remove old config cruft * ratios & hop_length * use ModuleList instead of Sequential * clean up resnet block * update types * update tests * fixup * quick cleanup * fix padding * more styl,ing * add patrick feedback * fix copies * fixup * fix lstm * fix shape issues * fixup * rename conv layers * fixup * fix decoding * small conv refactoring * remove norm_params * simplify conv layers * rename conv layers * stuff * Clean up * Add padding logic use padding mask small conv refactoring remove norm_params simplify conv layers rename conv layers stuff add batched test update Clean up merge and update for padding fix padding fixup * clean up more * clean up more * More clean ups * cleanup convolutions * typo * fix typos * fixup * build PR doc? * start refactoring docstring * fix don't pad when no strid and chunk * update docstring * update docstring * nits * update going to lunch * update config and model * fix broken testse (becaue of the config changes) * fix scale computation * fixu[ * only return dict if speciefied or if config returns it * remove todos * update defaults in config * update conversion script * fix doctest * more docstring + fixup * nits on batched_tests * more nits * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * update basxed on review * fix update * updaet tests * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fixup * add overlap and chunl_length_s * cleanup feature extraction * teste edge cases truncation and padding * correct processor values * update config encodec, nits * fix tests * fixup * fix 24Hz test * elle tests are green * fix fixup * Apply suggestions from code review * revert readme changes * fixup * add example * use facebook checkpoints * fix typo * no pipeline tests * use slef.pad everywhere we can * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * update based on review * update * update mdx * fix bug and tests * fixup * fix doctest * remove comment * more nits * add more coverage for `test_truncation_and_padding` * fixup * add last test * fix text * nits * Update tests/models/encodec/test_modeling_encodec.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * take care of the last comments * typo * fix test * nits * fixup * Update src/transformers/models/encodec/feature_extraction_encodec.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: arthur.zucker@gmail.com <arthur.zucker@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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amyeroberts
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a717e0318c
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Add TimmBackbone model (#22619)
* Add test_backbone for convnext * Add TimmBackbone model * Add check for backbone type * Tidying up - config checks * Update convnextv2 * Tidy up * Fix indices & clearer comment * Exceptions for config checks * Correclty update config for tests * Safer imports * Safer safer imports * Fix where decorators go * Update import logic and backbone tests * More import fixes * Fixup * Only import all_models if torch available * Fix kwarg updates in from_pretrained & main rebase * Tidy up * Add tests for AutoBackbone * Tidy up * Fix import error * Fix up * Install nattan in doc_test_job * Revert back to setting self._out_xxx directly * Bug fix - out_indices mapping from out_features * Fix tests * Dont accept output_loading_info for Timm models * Set out_xxx and don't remap * Use smaller checkpoint for test * Don't remap timm indices - check out_indices based on stage names * Skip test as it's n/a * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Cleaner imports / spelling is hard --------- Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Eli Simhayev
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4b6a5a7caa
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[Time-Series] Autoformer model (#21891)
* ran `transformers-cli add-new-model-like`
* added `AutoformerLayernorm` and `AutoformerSeriesDecomposition`
* added `decomposition_layer` in `init` and `moving_avg` to config
* added `AutoformerAutoCorrelation` to encoder & decoder
* removed caninical self attention `AutoformerAttention`
* added arguments in config and model tester. Init works! 😁
* WIP autoformer attention with autocorrlation
* fixed `attn_weights` size
* wip time_delay_agg_training
* fixing sizes and debug time_delay_agg_training
* aggregation in training works! 😁
* `top_k_delays` -> `top_k_delays_index` and added `contiguous()`
* wip time_delay_agg_inference
* finish time_delay_agg_inference 😎
* added resize to autocorrelation
* bug fix: added the length of the output signal to `irfft`
* `attention_mask = None` in the decoder
* fixed test: changed attention expected size, `test_attention_outputs` works!
* removed unnecessary code
* apply AutoformerLayernorm in final norm in enc & dec
* added series decomposition to the encoder
* added series decomp to decoder, with inputs
* added trend todos
* added autoformer to README
* added to index
* added autoformer.mdx
* remove scaling and init attention_mask in the decoder
* make style
* fix copies
* make fix-copies
* inital fix-copies
* fix from https://github.com/huggingface/transformers/pull/22076
* make style
* fix class names
* added trend
* added d_model and projection layers
* added `trend_projection` source, and decomp layer init
* added trend & seasonal init for decoder input
* AutoformerModel cannot be copied as it has the decomp layer too
* encoder can be copied from time series transformer
* fixed generation and made distrb. out more robust
* use context window to calculate decomposition
* use the context_window for decomposition
* use output_params helper
* clean up AutoformerAttention
* subsequences_length off by 1
* make fix copies
* fix test
* added init for nn.Conv1d
* fix IGNORE_NON_TESTED
* added model_doc
* fix ruff
* ignore tests
* remove dup
* fix SPECIAL_CASES_TO_ALLOW
* do not copy due to conv1d weight init
* remove unused imports
* added short summary
* added label_length and made the model non-autoregressive
* added params docs
* better doc for `factor`
* fix tests
* renamed `moving_avg` to `moving_average`
* renamed `factor` to `autocorrelation_factor`
* make style
* Update src/transformers/models/autoformer/configuration_autoformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/autoformer/configuration_autoformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* fix configurations
* fix integration tests
* Update src/transformers/models/autoformer/configuration_autoformer.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fixing `lags_sequence` doc
* Revert "fixing `lags_sequence` doc"
This reverts commit
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Eli Simhayev
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8abe4930d3
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[Time-Series] informer model (#21099)
* added informer to gitignore * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * moved enc-dec init to InformerEncoder/Decoder init * added 'init_std' to config, now model init works! * WIP conversion script, and added code sources * WIP conversion script: loading original informer pth works * WIP conversion script: change defaults in the config * WIP conversion script: supporting Informer input embedding * WIP conversion script: added parameters for the informer embed * WIP conversion script: change dim_feedforward=2048 * WIP conversion script: remove unused args for loading checkpoint * just cleaning up * DataEmbedding removed, after thinking with Kashif * working on forward pass * WIP forward pass: trying to establish working batch for forward pass * cleaning and finalizing * adding HF names and docs * init after cleaning works * WIP in tests * added docs for the informer specific args * fix style * undo change * cleaning informer, now need to work only enc-dec * initial enc-dec classes * added encoder and decoder * added todo * add todos for conv_layers * added decoder docs from vanilla * added encoder docs from vanilla * remove encoder decoder from the original informer * removed AttentionLayer from the original paper * removed TriangularCausalMask, same as decoder_attention_mask * initial sparse attention * use conv_layers * fixed test_config test * fix parenthesis when itearting zip(layers, conv_layers) * error found in prob attention, added sizes as comments * fix sizes * added proposal for q_reduce indexing, and remove unused * WIP ProbMask, and changed factor=2 for testing * remove unused libs for this PR for creating the env * fix checking the attn_weights.size() after bmm * Q_reduce: changed from torch.gather to simple slicing * WIP calculate final attn_output * finish adding v_aggregated, attn_output ready * changed tgt_len to u in attention_mask, need to fix the size error * comment attention_mask for encoder, and fix if cond for v_agg * added ProbMask support (wip), removed old original code * finished ProbMask 😃 * Revert "remove unused libs for this PR for creating the env" This reverts commit |
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Connor Henderson
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0f96c26de6
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refactor: Make direct_transformers_import util (#21652)
* refactor: Make direct_import util * edit direct import fn * add docstring * make import function specific to transformers only * edit doc string |
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Sylvain Gugger
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9d1116e995
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Update deprecated load_module (#21651) | ||
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Yih-Dar
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b47a16743b
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Remove more unused attributes in config classes (#21543)
* Remove unused decoder_layerdrop * Update SPECIAL_CASES_TO_ALLOW for MT5Config * Remove unused position_embedding_init_scale * Remove unused decoder_max_relative_position * Use unused decoder_max_relative_position * Remove unused init_std * Remove unused forgotten attributes * Remove unused patch_norm * Remove unused max_seq_len * Update SPECIAL_CASES_TO_ALLOW for OneFormerConfig --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Yih-Dar
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479322bfaa
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A new test to check config attributes being used (#21453)
* Add a new test to check config attributes being used * Add a new test to check config attributes being used * Add a new test to check config attributes being used * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions * Update allowed cases - part 1 * Update allowed cases - part 2 * final --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |