* Fix sinusoidal_embeddings in FlaubertModel
* Fix for Informer
* Fix for XLM
* Move sinusoidal emb for XLM
* Move sinusoidal emb for Flaubert
* Small cleanup
* Add comments on tests code copied from
* Add with Distilbert->
* add tests for batching support
* Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update tests/test_modeling_common.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update tests/test_modeling_common.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update tests/test_modeling_common.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* fixes and comments
* use cosine distance for conv models
* skip mra model testing
* Update tests/models/vilt/test_modeling_vilt.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* finzalize and make style
* check model type by input names
* Update tests/models/vilt/test_modeling_vilt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fixed batch size for all testers
* Revert "fixed batch size for all testers"
This reverts commit 525f3a0a05.
* add batch_size for all testers
* dict from model output
* do not skip layoutlm
* bring back some code from git revert
* Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* clean-up
* where did minus go in tolerance
* make whisper happy
* deal with consequences of losing minus
* deal with consequences of losing minus
* maskformer needs its own test for happiness
* fix more models
* tag flaky CV models from Amy's approval
* make codestyle
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Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* stronger GC tests
* better tests and skip failing tests
* break down into 3 sub-tests
* break down into 3 sub-tests
* refactor a bit
* more refactor
* fix
* last nit
* credits contrib and suggestions
* credits contrib and suggestions
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Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* 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 11a081e09e.
* fixes
* make style
* fix initial tests
* fix more tests
* dry
* make style
* remove unused files
* style
* added integration tests
* fix num_static_real_features
* fix header
* remove unused function
* fix example
* fix docs
* Update src/transformers/models/informer/configuration_informer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/informer/modeling_informer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/informer/configuration_informer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/informer/configuration_informer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/informer/configuration_informer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/informer/configuration_informer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* fixes for reviewer
* use prediction_length from model
* fix style
* fixed informer.mdx
* added to index
* updated readme
* undo
* make fix-copies
* typo
* fix copy
* added Informer to toctree
* in order
* fixed comments
* remove unneeded new lines in docs
* make static real and cat optional
* fix use of distil conv layers
* fixed integration test
* added checkpoint for convlayer
* make fix-copies
* updated from time series model
* make fix-copies
* copy decoder
* fix unit tests
* updated scaling config
* fix integration tests
* IGNORE_NON_TESTED
* IGNORE_NON_AUTO_CONFIGURED
* IGNORE_NON_AUTO_CONFIGURED
* updated check configs
* fix formatting
* undo change from time series
* prediction_length should not be None
* aliign with the blog: prettify ProbSparse and change attention_factor to sampling_factor
* make style
* make fix-copies
* niels CR: update contributed by
* niels CR: update configuration_informer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* niels CR: update kashif -> huggingface
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* niels CR: `sampling_factor` only relevant when `attention_type`=prob
* make style
* fixed U_part: added multiplication by `L_Q`
* fixed bug: remove `is not None` from `if config.distil`
* fixed test: `decoder_seq_length` to `encoder_seq_length` in cross_attentions check
* fix integration tests
* updated model hub
* do not shift as in training
* undo
* fix make-copies
* make fix-copies
* added `if prediction_length is None`
* changed `ProbSparseAttention` to `InformerProbSparseAttention`
* changed `V_sum` -> `v_mean_dim_time`
* changed `ConvLayer` to `InformerConvLayer` and fixed `super()`
* TimeSeriesTansformer->Informer in decoder's Copied from
* more descriptive in ProbSparse
* make style
* fix coped from
* Revert "added `if prediction_length is None`"
This reverts commit b4cbddfa05.
* fixed indent
* use InformerSinusoidalPositionalEmbedding
* make fix-style
* fix from #21860
* fix name
* make fix-copies
* use time series utils
* fix dec num_heads
* docstring
* added time series util doc
* _import_structure
* formatting
* changes from review
* make style
* fix docs
* fix doc
* removed NegativeLogLikelihood
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Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
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