From 7ae7c0053f7f8af7792c7ba0567a925034b645c3 Mon Sep 17 00:00:00 2001 From: Jesper Dramsch Date: Wed, 29 May 2024 12:13:53 +0000 Subject: [PATCH 01/12] docs: initialise docstring automodule --- docs/modules/data_indices.rst | 8 ++++++++ docs/modules/distributed.rst | 8 ++++++++ docs/modules/interface.rst | 8 ++++++++ docs/modules/layers.rst | 8 ++++++++ docs/modules/models.rst | 8 ++++++++ docs/modules/preprocessing.rst | 8 ++++++++ docs/modules/utils.rst | 8 ++++++++ 7 files changed, 56 insertions(+) create mode 100644 docs/modules/data_indices.rst create mode 100644 docs/modules/distributed.rst create mode 100644 docs/modules/interface.rst create mode 100644 docs/modules/layers.rst create mode 100644 docs/modules/models.rst create mode 100644 docs/modules/preprocessing.rst create mode 100644 docs/modules/utils.rst diff --git a/docs/modules/data_indices.rst b/docs/modules/data_indices.rst new file mode 100644 index 00000000..d776aabd --- /dev/null +++ b/docs/modules/data_indices.rst @@ -0,0 +1,8 @@ +############## + Data Indices +############## + +.. automodule:: anemoi.models.data_indices + :members: + :no-undoc-members: + :show-inheritance: diff --git a/docs/modules/distributed.rst b/docs/modules/distributed.rst new file mode 100644 index 00000000..6aa8811a --- /dev/null +++ b/docs/modules/distributed.rst @@ -0,0 +1,8 @@ +############# + Distributed +############# + +.. automodule:: anemoi.models.distributed + :members: + :no-undoc-members: + :show-inheritance: diff --git a/docs/modules/interface.rst b/docs/modules/interface.rst new file mode 100644 index 00000000..28e041fe --- /dev/null +++ b/docs/modules/interface.rst @@ -0,0 +1,8 @@ +########### + Interface +########### + +.. automodule:: anemoi.models.interface + :members: + :no-undoc-members: + :show-inheritance: diff --git a/docs/modules/layers.rst b/docs/modules/layers.rst new file mode 100644 index 00000000..d93d2c77 --- /dev/null +++ b/docs/modules/layers.rst @@ -0,0 +1,8 @@ +######## + Layers +######## + +.. automodule:: anemoi.models.layers + :members: + :no-undoc-members: + :show-inheritance: diff --git a/docs/modules/models.rst b/docs/modules/models.rst new file mode 100644 index 00000000..745046b2 --- /dev/null +++ b/docs/modules/models.rst @@ -0,0 +1,8 @@ +######## + Models +######## + +.. automodule:: anemoi.models.models + :members: + :no-undoc-members: + :show-inheritance: diff --git a/docs/modules/preprocessing.rst b/docs/modules/preprocessing.rst new file mode 100644 index 00000000..bccb0d1f --- /dev/null +++ b/docs/modules/preprocessing.rst @@ -0,0 +1,8 @@ +############### + Preprocessing +############### + +.. automodule:: anemoi.models.preprocessing + :members: + :no-undoc-members: + :show-inheritance: diff --git a/docs/modules/utils.rst b/docs/modules/utils.rst new file mode 100644 index 00000000..daf51333 --- /dev/null +++ b/docs/modules/utils.rst @@ -0,0 +1,8 @@ +####### + Utils +####### + +.. automodule:: anemoi.models.utils + :members: + :no-undoc-members: + :show-inheritance: From e4629f8820c6861eeab690590651f8505f22bc00 Mon Sep 17 00:00:00 2001 From: Jesper Dramsch Date: Wed, 29 May 2024 14:18:30 +0000 Subject: [PATCH 02/12] docs: write intro and overview --- docs/index.rst | 17 ++++++- docs/overview.rst | 113 ++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 128 insertions(+), 2 deletions(-) create mode 100644 docs/overview.rst diff --git a/docs/index.rst b/docs/index.rst index e7caaa5c..110b002f 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -19,17 +19,30 @@ framework it seeks to handle many of the complexities that meteorological organisations will share, allowing them to easily train models from existing recipes but with their own data. -This package provides a series of utility functions for used by the rest -of the *Anemoi* packages. +*Anemoi models* provides the core model components for used by the rest +of the *Anemoi* packages to train graph neural networks for data-driven +weather forecasting. +- :doc:`overview` - :doc:`installing` .. toctree:: :maxdepth: 1 :hidden: + overview installing +********* + Modules +********* + +.. toctree:: + :maxdepth: 1 + :glob: + + modules/* + ***************** Anemoi packages ***************** diff --git a/docs/overview.rst b/docs/overview.rst new file mode 100644 index 00000000..c6526e19 --- /dev/null +++ b/docs/overview.rst @@ -0,0 +1,113 @@ +########## + Overview +########## + +Anemoi is a comprehensive framework designed to streamline the +development of machine learning models for data-driven weather +forecasting. The anemoi-models package lies at the core of this +framework, providing core components to train graph neural networks +(GNNs), including graph transformers for data-driven weather +forecasting. Below is a detailed breakdown of the main components within +the anemoi-models package: + +*********** + Interface +*********** + +The `AnemoiModelInterface` is designed to provide an interface between +the training and the model itself. This code is used for making +predictions with an underlying machine learning model. It implements the +the interface for pre-processing input data, performing inference using +the model, and post-processing the output. + +These components can be extended and switched out with the config files. + +This modular approach allows for easy customization and extension, +facilitating the use of different models and processors as needed. + +*************** + Preprocessing +*************** + +The `preprocessing` module provides a set of tools and utilities for +preprocessing input data for the model. This includes normalizing the +input data and different imputation methods. The preprocessing module is +designed to be flexible and modular, allowing for easy customization and +extension. + +This is achieved through a config that can provide a list of +preprocessing steps to be applied to the input data. + +Currently the package includes the following preprocessing steps: + +- Normalization +- Imputation + +******* + Model +******* + +The `models` is the core component of the anemoi-models package, +defining the core model architecture for the graph neural network. The +model is designed to be flexible and modular, allowing for easy +customization and extension. The model is built using the PyTorch +Geometric library, which provides a wide range of tools and utilities +for building graph neural networks. + +The model is designed to take in a graph representation of the input +data, process it using a series of modules, and output a prediction. + +Currently the package includes the following models: + +- Encoder-Processor-Decoder architecture + +******** + Layers +******** + +The `layers` module provides the core building blocks for the graph +neural network in `Models`. This includes graph transformers, graph +convolutions, and transformers, as well as, other layers that are used +to process the input data. + +The layers are designed as extensible classes to allow for easy +experimentation and switching out of components. + +The layers implement `Mappers`, which can encode and decode data from +the graph representation. The `Mappers` are used to process the input +data and output the prediction. The `Mappers` use the `Blocks` to +process the data, which are the building blocks of the graph neural +network. + +Additionally, the layers implement `Processors` which are used to +process the data in the graph representation. The `Processors` use a +chunking strategy with `Chunks` that pass a subset of layers to `Blocks` +to allow for more efficient processing of the data. + +Currently the package includes the following implementations: + +- Graph Convolution (Mapper, Processor) +- Graph Transformer (Mapper, Processor) +- Transformer (Processor) + +************** + Data Indices +************** + +Throughout *anemoi models* and *anemoi training* we use the concept of +data indices to refer to the indices of the data and provide of the full +training data. + +Specifically, this enables data routing of variables that are only used +as `forcing` variables in the input to the model, `diagnostic` which is +only an output of the model, and `prognostic` variables that are both +present in the input and the output. + +************* + Distributed +************* + +The `distributed` module provides utilities for distributed training of +the model. This includes includes the splitting and gathering of the +model and its tensors / parameters across multiple GPUs. This process is +also known as "model shardings". From 17c2edd50ccf66da5a7efbf664eeee7680f7b3ea Mon Sep 17 00:00:00 2001 From: Jesper Dramsch Date: Wed, 29 May 2024 16:09:42 +0000 Subject: [PATCH 03/12] docs: Fill descriptions and schemas --- docs/modules/data_indices.rst | 97 +++++++++- docs/modules/distributed.rst | 3 + docs/modules/layers.rst | 78 +++++++- docs/modules/models.rst | 8 +- docs/modules/preprocessing.rst | 25 +++ docs/modules/utils.rst | 8 - docs/schemas/data_indices.drawio | 307 +++++++++++++++++++++++++++++++ docs/schemas/data_indices.png | Bin 0 -> 337362 bytes 8 files changed, 515 insertions(+), 11 deletions(-) delete mode 100644 docs/modules/utils.rst create mode 100644 docs/schemas/data_indices.drawio create mode 100644 docs/schemas/data_indices.png diff --git a/docs/modules/data_indices.rst b/docs/modules/data_indices.rst index d776aabd..59605ee5 100644 --- a/docs/modules/data_indices.rst +++ b/docs/modules/data_indices.rst @@ -2,7 +2,102 @@ Data Indices ############## -.. automodule:: anemoi.models.data_indices +Data routing with a DataIndex system that knows where data is passed based on config entries. + +This documentation aims to first explain the user side (configs), and then goes into detail for developers. + +Good news first: You don't need to know the index of data in your Zarr + +************* + Usage Information +************* + +The routing information can be changed in the config in data. + +There are currently three types of data with respect to the model: + +- Prognostic: Data that is input into and output from the model +- Forcing: Data that informs the model as auxiliary information but isn't output nor fed to the loss +- Diagnostic: Data that is not input into the model, but is produced in the inference. (It's pseudo-diagnostic, as it is fed to the loss during training, so the model is still conditioned on this data.) + +The default in Anemoi Models is that data is prognostic. But data can be switched to forcing or diagnostic by adding the value to the existing config entry: + +.. code-block:: yaml + + data: + forcing: + - "lsm" + - "sdor" + diagnostic: + - "tp" + - "cp" + +.. figure:: ../schemas/data_indices.png + :alt: Schematic of IndexCollection with Data Indexing on Data and Model levels. + :align: center + +The are two Index-levels: + +- Data: The data at "Zarr"-level provided by Anemoi-Datasets +- Model: The "squeezed" tensors with irrelevant parts missing. + +These are both split into two versions: + +- Input: The data going into training / model +- Output: The data produced by training / model + +Each of these four indices has four integer Tensors available to slice into the data: + +- full: The indices of all "relevant" data, i.e. prognostic and forcing for the input data. +- diagnostic: The indices for data that is "output only" and not fed to the model. +- prognostic: The indices for data that is in both the input and output for the training and model. +- forcing: The indices for data that is only input into the model but doesn't exist in the forecast state. + +The data can be accessed via dot notation in such a way that: + +.. code-block:: python + + data_indices... + +Examples: + + +.. code-block:: python + + data_indices.data.input.full + data_indices.model.output.diagnostic + +The name_to_index dictionary is available for each of the four indices, which provides a mapping from variable name to index at that level. These are useful for providing users an interface in the config that does not rely on the knowledge of index-locations in the data. Generally, hard-coded locations are to be avoided. + +************* + Index Collections +************* + +The Index Collections module provides a collection of indices, which are used to index and slice the data. + +.. automodule:: anemoi.models.data_indices.collection + :members: + :no-undoc-members: + :show-inheritance: + +************* + Index +************* + +The Index module provides all data indices and methods for indexing and slicing the data. + +.. automodule:: anemoi.models.data_indices.index + :members: + :no-undoc-members: + :show-inheritance: + +************* + Tensor +************* + +This provides the underlying data structure for the indices. It creates a tensor of the appropriate size and shape, and provides methods for indexing and slicing the data. + +.. automodule:: anemoi.models.data_indices.tensor :members: :no-undoc-members: :show-inheritance: diff --git a/docs/modules/distributed.rst b/docs/modules/distributed.rst index 6aa8811a..de8a98a6 100644 --- a/docs/modules/distributed.rst +++ b/docs/modules/distributed.rst @@ -2,6 +2,9 @@ Distributed ############# + + + .. automodule:: anemoi.models.distributed :members: :no-undoc-members: diff --git a/docs/modules/layers.rst b/docs/modules/layers.rst index d93d2c77..5bb25cb9 100644 --- a/docs/modules/layers.rst +++ b/docs/modules/layers.rst @@ -2,7 +2,83 @@ Layers ######## -.. automodule:: anemoi.models.layers +******** + Mappers +******** + +.. automodule:: anemoi.models.layers.mapper + :members: + :no-undoc-members: + :show-inheritance: + +******** + Processors +******** + +.. automodule:: anemoi.models.layers.processor + :members: + :no-undoc-members: + :show-inheritance: + +******** + Chunks +******** + +.. automodule:: anemoi.models.layers.chunk + :members: + :no-undoc-members: + :show-inheritance: + +******** + Blocks +******** + +.. automodule:: anemoi.models.layers.block + :members: + :no-undoc-members: + :show-inheritance: + +******** + Graph +******** + +.. automodule:: anemoi.models.layers.graph + :members: + :no-undoc-members: + :show-inheritance: + +******** + Conv +******** + +.. automodule:: anemoi.models.layers.conv + :members: + :no-undoc-members: + :show-inheritance: + +******** + Attention +******** + +.. automodule:: anemoi.models.layers.attention + :members: + :no-undoc-members: + :show-inheritance: + +******** + Multi-Layer Perceptron +******** + +.. automodule:: anemoi.models.layers.mlp + :members: + :no-undoc-members: + :show-inheritance: + +******** + Utils +******** + +.. automodule:: anemoi.models.layers.utils :members: :no-undoc-members: :show-inheritance: diff --git a/docs/modules/models.rst b/docs/modules/models.rst index 745046b2..329791fb 100644 --- a/docs/modules/models.rst +++ b/docs/modules/models.rst @@ -2,7 +2,13 @@ Models ######## -.. automodule:: anemoi.models.models +************* + Encoder Processor Decoder Model +************* + +The model defines a graph neural network architecture with configurable encoder, processor, and decoder. + +.. automodule:: anemoi.models.models.encoder_processor_decoder :members: :no-undoc-members: :show-inheritance: diff --git a/docs/modules/preprocessing.rst b/docs/modules/preprocessing.rst index bccb0d1f..eb83d9a4 100644 --- a/docs/modules/preprocessing.rst +++ b/docs/modules/preprocessing.rst @@ -2,7 +2,32 @@ Preprocessing ############### +The preprocessing module is used to pre- and post-process the data. +The module contains the following classes: + .. automodule:: anemoi.models.preprocessing :members: :no-undoc-members: :show-inheritance: + +*********** + Normalizer +*********** + +The normalizer module is used to normalize the data. The module contains the following classes: + +.. automodule:: anemoi.models.preprocessing.normalizer + :members: + :no-undoc-members: + :show-inheritance: + +*********** + Imputer +*********** + +The imputer module is used to impute the data. The module contains the following classes: + +.. automodule:: anemoi.models.preprocessing.imputer + :members: + :no-undoc-members: + :show-inheritance: diff --git a/docs/modules/utils.rst b/docs/modules/utils.rst deleted file mode 100644 index daf51333..00000000 --- a/docs/modules/utils.rst +++ /dev/null @@ -1,8 +0,0 @@ -####### - Utils -####### - -.. automodule:: anemoi.models.utils - :members: - :no-undoc-members: - :show-inheritance: diff --git a/docs/schemas/data_indices.drawio b/docs/schemas/data_indices.drawio new file mode 100644 index 00000000..536c59e2 --- /dev/null +++ b/docs/schemas/data_indices.drawio @@ -0,0 +1,307 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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