Younes Belkada
f7ea959b96
[core/ GC / tests] Stronger GC tests ( #27124 )
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* 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>
2023-10-30 19:53:46 +01:00
Yih-Dar
850cf4af0c
Compute dropout_probability only in training mode ( #24486 )
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* fix
* fix
* fix
* fix
* fix
* fix
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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-06-26 18:36:47 +02:00
Younes Belkada
3ce3385c47
Revert "Fix gradient checkpointing + fp16 autocast for most models" ( #24420 )
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Revert "Fix gradient checkpointing + fp16 autocast for most models (#24247 )"
This reverts commit 285a48011d
2023-06-22 16:11:27 +02:00
Younes Belkada
285a48011d
Fix gradient checkpointing + fp16 autocast for most models ( #24247 )
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* fix gc bug
* continue PoC on OPT
* fixes
* 🤯
* fix tests
* remove pytest.mark
* fixup
* forward contrib credits from discussions
* forward contrib credits from discussions
* reverting changes on untouched files.
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Co-authored-by: zhaoqf123 <zhaoqf123@users.noreply.github.com>
Co-authored-by: 7eu7d7 <7eu7d7@users.noreply.github.com>
2023-06-21 17:04:59 +02:00
Yih-Dar
c23d131eab
Update tiny models for pipeline testing. ( #24364 )
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* fix
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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-06-20 14:43:10 +02:00
Eli Simhayev
4b6a5a7caa
[Time-Series] Autoformer model ( #21891 )
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* 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 21e34911e3
2023-05-30 10:23:32 +02:00
