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  1. 05 Dec, 2023 3 commits
  3. 04 Dec, 2023 19 commits
  5. 01 Dec, 2023 7 commits
  7. 30 Nov, 2023 4 commits
  9. 29 Nov, 2023 2 commits
    • Kevin Hu's avatar
      Fix precision errors from casting rotary parameters to FP16 with AMP (#27700) · 083e3692
      Kevin Hu authored 
      * Update modeling_llama.py

* Update modeling_open_llama.py

* Update modeling_gpt_neox.py

* Update modeling_mistral.py

* Update modeling_persimmon.py

* Update modeling_phi.py

* Update modeling_falcon.py

* Update modeling_gpt_neox_japanese.py
      083e3692
    • Kashif Rasul's avatar
      [Time series] Add patchtst (#27581) · af8acc47
      Kashif Rasul authored 
      
* add distribution head to forecasting

* formatting

* Add generate function for forecasting

* Add generate function to prediction task

* formatting

* use argsort

* add past_observed_mask ordering

* fix arguments

* docs

* add back test_model_outputs_equivalence test

* formatting

* cleanup

* formatting

* use ACT2CLS

* formatting

* fix add_start_docstrings decorator

* add distribution head and generate function to regression task

add distribution head and generate function to regression task. Also made add PatchTSTForForecastingOutput,  PatchTSTForRegressionOutput.

* add distribution head and generate function to regression task

add distribution head and generate function to regression task. Also made add PatchTSTForForecastingOutput,  PatchTSTForRegressionOutput.

* fix typos

* add forecast_masking

* fixed tests

* use set_seed

* fix doc test

* formatting

* Update docs/source/en/model_doc/patchtst.md

Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>

* better var names

* rename PatchTSTTranspose

* fix argument names and docs string

* remove compute_num_patches and unused class

* remove assert

* renamed to PatchTSTMasking

* use num_labels for classification

* use num_labels

* use default num_labels from super class

* move model_type after docstring

* renamed PatchTSTForMaskPretraining

* bs -> batch_size

* more review fixes

* use hidden_state

* rename encoder layer and block class

* remove commented seed_number

* edit docstring

* Add docstring

* formatting

* use past_observed_mask

* doc suggestion

* make fix-copies

* use Args:

* add docstring

* add docstring

* change some variable names and add PatchTST before some class names

* formatting

* fix argument types

* fix tests

* change x variable to patch_input

* format

* formatting

* fix-copies

* Update tests/models/patchtst/test_modeling_patchtst.py

Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* move loss to forward

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>

* formatting

* fix a bug when pre_norm is set to True

* output_hidden_states is set to False as default

* set pre_norm=True as default

* format docstring

* format

* output_hidden_states is None by default

* add missing docs

* better var names

* docstring: remove default to False in output_hidden_states

* change labels name to target_values in regression task

* format

* fix tests

* change to forecast_mask_ratios and random_mask_ratio

* change mask names

* change future_values to target_values param in the prediction class

* remove nn.Sequential and make PatchTSTBatchNorm class

* black

* fix argument name for prediction

* add output_attentions option

* add output_attentions to PatchTSTEncoder

* formatting

* Add attention output option to all classes

* Remove PatchTSTEncoderBlock

* create PatchTSTEmbedding class

* use config in PatchTSTPatchify

* Use config in PatchTSTMasking class

* add channel_attn_weights

* Add PatchTSTScaler class

* add output_attentions arg to test function

* format

* Update doc with image patchtst.md

* fix-copies

* rename Forecast <-> Prediction

* change name of a few parameters to match with PatchTSMixer.

* Remove *ForForecasting class to match with other time series models.

* make style

* Remove PatchTSTForForecasting in the test

* remove PatchTSTForForecastingOutput class

* change test_forecast_head to test_prediction_head

* style

* fix docs

* fix tests

* change num_labels to num_targets

* Remove PatchTSTTranspose

* remove arguments in PatchTSTMeanScaler

* remove arguments in PatchTSTStdScaler

* add config as an argument to all the scaler classes

* reformat

* Add norm_eps for batchnorm and layernorm

* reformat.

* reformat

* edit docstring

* update docstring

* change variable name pooling to pooling_type

* fix output_hidden_states as tuple

* fix bug when calling PatchTSTBatchNorm

* change stride to patch_stride

* create PatchTSTPositionalEncoding class and restructure the PatchTSTEncoder

* formatting

* initialize scalers with configs

* edit output_hidden_states

* style

* fix forecast_mask_patches doc string

* doc improvements

* move summary to the start

* typo

* fix docstring

* turn off masking when using prediction, regression, classification

* return scaled output

* adjust output when using distribution head

* remove _num_patches function in the config

* get config.num_patches from patchifier init

* add output_attentions docstring, remove tuple in output_hidden_states

* change SamplePatchTSTPredictionOutput and SamplePatchTSTRegressionOutput to SamplePatchTSTOutput

* remove print("model_class: ", model_class)

* change encoder_attention_heads to num_attention_heads

* change norm to norm_layer

* change encoder_layers to num_hidden_layers

* change shared_embedding to share_embedding, shared_projection to share_projection

* add output_attentions

* more robust check of norm_type

* change dropout_path to path_dropout

* edit docstring

* remove positional_encoding function and add _init_pe in PatchTSTPositionalEncoding

* edit shape of cls_token and initialize it

* add a check on the num_input_channels.

* edit head_dim in the Prediction class to allow the use of cls_token

* remove some positional_encoding_type options, remove learn_pe arg, initalize pe

* change Exception to ValueError

* format

* norm_type is "batchnorm"

* make style

* change cls_token shape

* Change forecast_mask_patches to num_mask_patches. Remove forecast_mask_ratios.

* Bring PatchTSTClassificationHead on top of PatchTSTForClassification

* change encoder_ffn_dim to ffn_dim and edit the docstring.

* update variable names to match with the config

* add generation tests

* change num_mask_patches to num_forecast_mask_patches

* Add examples explaining the use of these models

* make style

* Revert "Revert "[time series] Add PatchTST (#25927)" (#27486)"

This reverts commit 78f6ed6c

.

* make style

* fix default std scaler's minimum_scale

* fix docstring

* close code blocks

* Update docs/source/en/model_doc/patchtst.md

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/patchtst/test_modeling_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/patchtst/configuration_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/patchtst/modeling_patchtst.py

Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix tests

* add add_start_docstrings

* move examples to the forward's docstrings

* update prepare_batch

* update test

* fix test_prediction_head

* fix generation test

* use seed to create generator

* add output_hidden_states and config.num_patches

* add loc and scale args in PatchTSTForPredictionOutput

* edit outputs if if not return_dict

* use self.share_embedding to check instead checking type.

* remove seed

* make style

* seed is an optional int

* fix test

* generator device

* Fix assertTrue test

* swap order of items in outputs when return_dict=False.

* add mask_type and random_mask_ratio to unittest

* Update modeling_patchtst.py

* add add_start_docstrings for regression model

* make style

* update model path

* Edit the ValueError comment in forecast_masking

* update examples

* make style

* fix commented code

* update examples: remove config from from_pretrained call

* Edit example outputs

* Set default target_values to None

* remove config setting in regression example

* Update configuration_patchtst.py

* Update configuration_patchtst.py

* remove config from examples

* change default d_model and ffn_dim

* norm_eps default

* set has_attentions to Trye and define self.seq_length = self.num_patche

* update docstring

* change variable mask_input to do_mask_input

* fix blank space.

* change logger.debug to logger.warning.

* remove unused PATCHTST_INPUTS_DOCSTRING

* remove all_generative_model_classes

* set test_missing_keys=True

* remove undefined params in the docstring.

---------

Co-authored-by: default avatarnnguyen <nnguyen@us.ibm.com>
Co-authored-by: default avatarNielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: default avatarNam Nguyen <namctin@gmail.com>
Co-authored-by: default avatarWesley Gifford <79663411+wgifford@users.noreply.github.com>
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      af8acc47
  11. 28 Nov, 2023 5 commits