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[357] Sub-package for evaluation #359
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src/weathergen/__init__.py
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this file needs to be removed. it was already causing issues for nv perf tools, and in general if it exists, it prevents python from discovering sub-packages such as weathergen.common
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Also, this change would need to happen in any case if we want to run any code on CPU-only code. The training code depends on flash-attn (GPU-only), so removing any reference to training or model in __init__.py
is necessary to run a sub-package in CPU-only code
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It seems a bit inconsistent for me to have packages/common and packages/evaluation and the "main" code is under src/. But I can live with it. config.py and validation_io.py (which is currently revised!) should be part of the common package. Anything else?
@@ -0,0 +1,2 @@ | |||
def common_function(): | |||
return "This is a common function for weather generation." |
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This refers to code that is shared by the model and evaluation code? The config is something that is needed on both sides.
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Exactly, this is for common code.
I think it is better to put skeleton first and make the move of these pieces later because it is a large change and it will probably have many conflicts. I put a TODO here for the time being and I will create a separate ticket (which can be handled by other people). How does that sound to you?
print(common_function()) | ||
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if __name__ == "__main__": |
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Can we use the plot.py function that we have.
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yes we can. I was not sure if you wanted to make changes there first? You were saying it was not ready yet. But happy to move here first.
@@ -1,9 +1,169 @@ | |||
# (C) Copyright 2025 WeatherGenerator contributors. |
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This file should now go to the train/ directory
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Some slrum scripts directly refer to this file. I would rather first change these scripts to use the train
/ evaluate
/ ... commands first before moving this file. Is this good for you?
…erator into tjh/dev/357_subpackages
@clessig I agree that having most of the model and data stuff in a separate place is not optimal. At the same time, as long as we are not publishing packages, it should not have a downside. Once we move all the plotting to |
* working * changes * removing deps from non-core project * changes * fixes * comments
* Implement mock IO (#336) * Adapt score class score class (#339) * Implement mock IO * Adapt score class * Removing unused file (#349) * remove database folder (#355) * Small change - CI - pinning the version of formatting (#361) * changes * changes * Update INSTALL.md * Update INSTALL.md * Fixed Exxx lint issues (#284) * Rebased to the latest changes and linted new changes * addressed review comments * addressed review comments * Linted the latest changes. * corrected the formating * corrected the formating * configured ruff to use LF line endings in pyproject.toml * [357] Sub-package for evaluation (#359) * working * changes * removing deps from non-core project * changes * fixes * comments * Iluise quick fix stac (#374) * remove database folder * fix database * Simplifying workflow for plot_training (#368) * Simplifying workflow for plot_training * Ruffed * Working on implementing exclude_source * Remove unused code * Fixed ruff issue * Fixing bug in lat handling (377) (#378) * Fixing bug in lat handling * Added comment --------- Co-authored-by: Seb Hickman <[email protected]> * recover num_ranks from previous run to calculate epoch_base (#317) * recover num_ranks from previous run to calculate epoch_base * set email settings for commits * addressing Tim's comment * make ruff happy * improve style * changes (#385) Linter rule so np.ndarray is not used as type * changed the script name from evaluate to inference as it simply gener… (#376) * changed the script name from evaluate to inference as it simply generate infer samples * changed evaluate to inference in the main scripts and corresponding calls in the config * update the main function for the inference script * changed evaluate to inference also in docstring, unit test scripts, and integration test scripts --------- Co-authored-by: Patnala,Ankit <[email protected]> * Introduce tuples instead for strings to avoid TypeError (#392) * Exclude channels from src / target (#363) * Exclude channels from src / target * Simplified code and added comment that pattern matching is used * Adding new stream config * Fixing bug that led to error when accessing self.ds when dataset is empty * Wokign on exlcude_source * work in progress * Fixing incorrect formating for logger (#388) * Ruffed * Refactored and cleaned up channel selection. Also added check that channels are not empty * Cleaned channel parsing and selection * Adjustments * Removing asserts incompatible with empty dataset --------- Co-authored-by: Christian Lessig <[email protected]> * add embed_dropout_rate to config v1 (#358) * [402] adds checks to the pull request (#403) * chanegs * mistake * mistake * mistake * changes * doc * Introduce masking class and incorporate in TokenizerMasking (#383) * creating masking class and adapting tokenizer_masking to use this class * minor changes to masking.py and tokenizer_masking * removed old tokenizer_masking * include masking_strategy in default_config * change ValueError to assert * linting formatting changes files * further linting of docstrings * create mask_source and mask_target in Masker, and update tokenizer_masking to use these, then style improvements * linted masking, tokenizer_masking * modify masker, rng and perm_sel now part of class, remove extra masking_rate, update comments, remove archived class * remove check if all masked, not masked * remove self.masking_rate from MultiStreamDS class, and masking args from batchify_source * update tokenizer utils with description of idx_ord_lens in comment * remove masking args from batchify_, perm_sel removed now internal to Masker class, remove handling special cases of masking (all masked) * adding masking_strategy: to config * remove unused mentions of masking_combination * removed comment about streams * changed assert to check self perm_sel is not None * ruff masking, tokenizer_masking * Ruffed * Added warning to capture corner case, likely due to incorrect user settings. * Fixed incorrect call twice * Fixed missing conditional for logger statement * Required changes for better handling of rngs * Improved handling of rngs * Improved handling of rng --------- Co-authored-by: Christian Lessig <[email protected]> * Implement per-channel logging (#283) * Fix bug with seed being divided by 0 for worker ID=0 * Fix bug causing crash when secrets aren't in private config * Implement logging losses per channel * Fix issue with empty targets * Rework loss logging * ruff * Remove computing max_channels * Change variables names * ruffed * Remove redundant enumerations * Use stages for logging * Add type hints * Apply the review * ruff * fix * Fix type hints * ruff --------- Co-authored-by: Tim Hunter <[email protected]> * [346] Passing options through the slurm script (#400) * changes * fixes * refactor `validation_io.write_validation` to make it more readable * remove legacy code `validation_io.read_validation` * encapsulate artifact path logic in config module * remove redundant attribute `Trainer.path_run` * use config to look up base_path in `write_validation` * remove unused `write_validation` args: `base_path`, `rank` * ensure correct type for pathes * remove streams initialization from `Trainer` * remove path logic from `Trainer.save_model` * simplify conditional * rename mock io module * update uv to include dask * Implement io module to support reading/writing model output * implement new validation_io routine * use new write_validation routine * remove unused code * rename output routine to `write_output` * ruffed and added comments * fixed annotation * use simple __init__ method for `OutputItem` instead of dataclasses magic * address reviewers comments * rename method * add simple docstrings * ruffed * typehint fixes * refactor names * update comments and typehints, dont import pytorch * remove `__post_init__` methods, cache properties * fixes and integration test * final fixes :) * changes * changes * changes * changes * changes * more work * changes * changes * changes * ruffed * ruffed * improve logging and comments * Update to score-class according to internal discussions and feedback in PR. * Add license header. * Ruffed code. * Update to score-class according to internal discussions and feedback in PR. * Add license header. * Ruffed code. * Add doc-string to call-method and provide example usage for efficient graph-construction. * Some fixes to score-class. * Some fixes to handling aggregation dimension. * Add missing import of MockIO. * changes * changes * removing the scores * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes --------- Co-authored-by: Kacper Nowak <[email protected]> Co-authored-by: Christian Lessig <[email protected]> Co-authored-by: iluise <[email protected]> Co-authored-by: Sindhu-Vasireddy <[email protected]> Co-authored-by: Seb Hickman <[email protected]> Co-authored-by: Julian Kuehnert <[email protected]> Co-authored-by: ankitpatnala <[email protected]> Co-authored-by: Patnala,Ankit <[email protected]> Co-authored-by: Savvas Melidonis <[email protected]> Co-authored-by: Christian Lessig <[email protected]> Co-authored-by: Till Hauer <[email protected]> Co-authored-by: Simon Grasse <[email protected]> Co-authored-by: Michael <[email protected]>
* Implement mock IO (ecmwf#336) * Adapt score class score class (ecmwf#339) * Implement mock IO * Adapt score class * Removing unused file (ecmwf#349) * remove database folder (ecmwf#355) * Small change - CI - pinning the version of formatting (ecmwf#361) * changes * changes * Update INSTALL.md * Update INSTALL.md * Fixed Exxx lint issues (ecmwf#284) * Rebased to the latest changes and linted new changes * addressed review comments * addressed review comments * Linted the latest changes. * corrected the formating * corrected the formating * configured ruff to use LF line endings in pyproject.toml * [357] Sub-package for evaluation (ecmwf#359) * working * changes * removing deps from non-core project * changes * fixes * comments * Iluise quick fix stac (ecmwf#374) * remove database folder * fix database * Simplifying workflow for plot_training (ecmwf#368) * Simplifying workflow for plot_training * Ruffed * Working on implementing exclude_source * Remove unused code * Fixed ruff issue * Fixing bug in lat handling (377) (ecmwf#378) * Fixing bug in lat handling * Added comment --------- Co-authored-by: Seb Hickman <[email protected]> * recover num_ranks from previous run to calculate epoch_base (ecmwf#317) * recover num_ranks from previous run to calculate epoch_base * set email settings for commits * addressing Tim's comment * make ruff happy * improve style * changes (ecmwf#385) Linter rule so np.ndarray is not used as type * changed the script name from evaluate to inference as it simply gener… (ecmwf#376) * changed the script name from evaluate to inference as it simply generate infer samples * changed evaluate to inference in the main scripts and corresponding calls in the config * update the main function for the inference script * changed evaluate to inference also in docstring, unit test scripts, and integration test scripts --------- Co-authored-by: Patnala,Ankit <[email protected]> * Introduce tuples instead for strings to avoid TypeError (ecmwf#392) * Exclude channels from src / target (ecmwf#363) * Exclude channels from src / target * Simplified code and added comment that pattern matching is used * Adding new stream config * Fixing bug that led to error when accessing self.ds when dataset is empty * Wokign on exlcude_source * work in progress * Fixing incorrect formating for logger (ecmwf#388) * Ruffed * Refactored and cleaned up channel selection. Also added check that channels are not empty * Cleaned channel parsing and selection * Adjustments * Removing asserts incompatible with empty dataset --------- Co-authored-by: Christian Lessig <[email protected]> * add embed_dropout_rate to config v1 (ecmwf#358) * [402] adds checks to the pull request (ecmwf#403) * chanegs * mistake * mistake * mistake * changes * doc * Introduce masking class and incorporate in TokenizerMasking (ecmwf#383) * creating masking class and adapting tokenizer_masking to use this class * minor changes to masking.py and tokenizer_masking * removed old tokenizer_masking * include masking_strategy in default_config * change ValueError to assert * linting formatting changes files * further linting of docstrings * create mask_source and mask_target in Masker, and update tokenizer_masking to use these, then style improvements * linted masking, tokenizer_masking * modify masker, rng and perm_sel now part of class, remove extra masking_rate, update comments, remove archived class * remove check if all masked, not masked * remove self.masking_rate from MultiStreamDS class, and masking args from batchify_source * update tokenizer utils with description of idx_ord_lens in comment * remove masking args from batchify_, perm_sel removed now internal to Masker class, remove handling special cases of masking (all masked) * adding masking_strategy: to config * remove unused mentions of masking_combination * removed comment about streams * changed assert to check self perm_sel is not None * ruff masking, tokenizer_masking * Ruffed * Added warning to capture corner case, likely due to incorrect user settings. * Fixed incorrect call twice * Fixed missing conditional for logger statement * Required changes for better handling of rngs * Improved handling of rngs * Improved handling of rng --------- Co-authored-by: Christian Lessig <[email protected]> * Implement per-channel logging (ecmwf#283) * Fix bug with seed being divided by 0 for worker ID=0 * Fix bug causing crash when secrets aren't in private config * Implement logging losses per channel * Fix issue with empty targets * Rework loss logging * ruff * Remove computing max_channels * Change variables names * ruffed * Remove redundant enumerations * Use stages for logging * Add type hints * Apply the review * ruff * fix * Fix type hints * ruff --------- Co-authored-by: Tim Hunter <[email protected]> * [346] Passing options through the slurm script (ecmwf#400) * changes * fixes * refactor `validation_io.write_validation` to make it more readable * remove legacy code `validation_io.read_validation` * encapsulate artifact path logic in config module * remove redundant attribute `Trainer.path_run` * use config to look up base_path in `write_validation` * remove unused `write_validation` args: `base_path`, `rank` * ensure correct type for pathes * remove streams initialization from `Trainer` * remove path logic from `Trainer.save_model` * simplify conditional * rename mock io module * update uv to include dask * Implement io module to support reading/writing model output * implement new validation_io routine * use new write_validation routine * remove unused code * rename output routine to `write_output` * ruffed and added comments * fixed annotation * use simple __init__ method for `OutputItem` instead of dataclasses magic * address reviewers comments * rename method * add simple docstrings * ruffed * typehint fixes * refactor names * update comments and typehints, dont import pytorch * remove `__post_init__` methods, cache properties * fixes and integration test * final fixes :) * changes * changes * changes * changes * changes * more work * changes * changes * changes * ruffed * ruffed * improve logging and comments * Update to score-class according to internal discussions and feedback in PR. * Add license header. * Ruffed code. * Update to score-class according to internal discussions and feedback in PR. * Add license header. * Ruffed code. * Add doc-string to call-method and provide example usage for efficient graph-construction. * Some fixes to score-class. * Some fixes to handling aggregation dimension. * Add missing import of MockIO. * changes * changes * removing the scores * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes * changes --------- Co-authored-by: Kacper Nowak <[email protected]> Co-authored-by: Christian Lessig <[email protected]> Co-authored-by: iluise <[email protected]> Co-authored-by: Sindhu-Vasireddy <[email protected]> Co-authored-by: Seb Hickman <[email protected]> Co-authored-by: Julian Kuehnert <[email protected]> Co-authored-by: ankitpatnala <[email protected]> Co-authored-by: Patnala,Ankit <[email protected]> Co-authored-by: Savvas Melidonis <[email protected]> Co-authored-by: Christian Lessig <[email protected]> Co-authored-by: Till Hauer <[email protected]> Co-authored-by: Simon Grasse <[email protected]> Co-authored-by: Michael <[email protected]>
Description
Adds a separate
weathergen-evaluate
andweathergen-common
packages in the same source tree, while leaving the current model code intact. This has been tested for the usual commandsuv run evaluate/train/...
.Here is the tree of dependency (showing all the dependencies are in lockstep and
weathergen-common
being a dependency ofweathergen
andweathergen-evaluate
):What works:
Points of questions:
There is an example of a self-contained script called
plot.py
which depends onweathergen-evaluate
(and all its dependencies). It can directly be called with./plot.py
anduv
will take care of creating the appropriate venv.Type of Change
Issue Number
Closes #357