mirror of
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4b6a5a7caa
* 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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|---|---|---|
| .. | ||
| test_module | ||
| tf_ops | ||
| add_pipeline_model_mapping_to_test.py | ||
| check_build.py | ||
| check_config_attributes.py | ||
| check_config_docstrings.py | ||
| check_copies.py | ||
| check_doc_toc.py | ||
| check_doctest_list.py | ||
| check_dummies.py | ||
| check_inits.py | ||
| check_model_tester.py | ||
| check_repo.py | ||
| check_self_hosted_runner.py | ||
| check_table.py | ||
| check_task_guides.py | ||
| check_tf_ops.py | ||
| create_dummy_models.py | ||
| custom_init_isort.py | ||
| documentation_tests.txt | ||
| download_glue_data.py | ||
| extract_warnings.py | ||
| get_ci_error_statistics.py | ||
| get_github_job_time.py | ||
| get_modified_files.py | ||
| get_previous_daily_ci.py | ||
| get_test_info.py | ||
| notification_service_doc_tests.py | ||
| notification_service.py | ||
| past_ci_versions.py | ||
| print_env.py | ||
| release.py | ||
| sort_auto_mappings.py | ||
| tests_fetcher.py | ||
| update_metadata.py | ||
| update_tiny_models.py | ||