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Emmi AI Core documentation

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Tutorials

Prerequisites
Getting Started: Install & Verify
Training First Model (with Configs)
Training First Model (with Code)
Running First Inference

How-to Guides

Working with the CLI
How to Load a Custom Dataset
How to Use Private Data Source
How to Write Your Own Data Preprocessors
How to Write Your Own Data Collators
How to Configure All Training Options
How to Use Custom Model
How to Write Custom Loss or Metrics
How to Run Inference via the CLI
How to Run Inference via the Code

Explanation

Overview
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Disk Caching

Reference

Emmi Data Management
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- emmi_data_management
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  - emmi_data_management.checkpoint
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    - emmi_data_management.checkpoint.iohash
    - emmi_data_management.checkpoint.providers
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      - emmi_data_management.checkpoint.providers.file_provider
      - emmi_data_management.checkpoint.providers.huggingface_provider
    - emmi_data_management.checkpoint.resolver
    - emmi_data_management.checkpoint.types
  - emmi_data_management.cli
  - emmi_data_management.cli_aws
  - emmi_data_management.cli_checkpoint
  - emmi_data_management.cli_huggingface
  - emmi_data_management.cli_utils
  - emmi_data_management.cli_verification
  - emmi_data_management.credentials
  - emmi_data_management.diskcache
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    - emmi_data_management.diskcache.cache_benchmark
    - emmi_data_management.diskcache.lru_cache
  - emmi_data_management.interfaces
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  - emmi_data_management.logging_config
  - emmi_data_management.logging_progress
  - emmi_data_management.providers
  - emmi_data_management.verification
Emmi Inference Module
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- emmi_inference
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  - emmi_inference.api
  - emmi_inference.cli
  - emmi_inference.cli_utils
  - emmi_inference.collator_registry
  - emmi_inference.common
  - emmi_inference.dataset_registry
  - emmi_inference.datasets
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    - emmi_inference.datasets.shapenet
  - emmi_inference.device
  - emmi_inference.examples
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  - emmi_inference.logging_config
  - emmi_inference.models
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    - emmi_inference.models.abupt
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        emmi_inference.models.modules.attention.anchor_attention
        
        emmi_inference.models.modules.attention.dot_product_attention
        
        emmi_inference.models.modules.attention.perceiver_attention
        
        emmi_inference.models.modules.attention.sharedweights_crossattn_attention
        
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      - emmi_inference.models.modules.mlp
      - emmi_inference.models.modules.rope
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    - emmi_inference.models.pipelines
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    - emmi_inference.models.registry
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  - emmi_inference.preprocess
  - emmi_inference.runner
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High level API (emmi)
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- emmi
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  - emmi.callbacks
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  - emmi.datasets
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  - emmi.functional
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  - emmi.models
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    - emmi.modules.activations
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    - emmi.modules.decoder
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    - emmi.modules.encoder
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    - emmi.modules.layers
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        emmi.modules.preprocessors.normalizers.mean_std_normalization
        
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        emmi.modules.preprocessors.normalizers.shift_and_scale_normalizer
        
        emmi.modules.preprocessors.normalizers.types
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  - emmi.optim
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  - emmi.preprocessing
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  - emmi.schemas
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Low level API (ksuit)
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- ksuit
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  - ksuit.cli
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        ksuit.data.wrappers.dataset_wrappers.repeat_wrapper
        
        ksuit.data.wrappers.dataset_wrappers.shuffle_wrapper
        
        ksuit.data.wrappers.dataset_wrappers.subset_wrapper
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  - ksuit.distributed
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  - ksuit.extractors
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  - ksuit.factory
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        ksuit.optimizer.param_group_modifiers.base.param_group_modifier_base
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  - ksuit.providers
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  - ksuit.runners
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  - ksuit.scripts
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    - ksuit.utils.platform
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  - ksuit.writers
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emmi.pipeline.sample_processors¶

Submodules¶

emmi.pipeline.sample_processors.drop_outliers
emmi.pipeline.sample_processors.duplicate_keys
emmi.pipeline.sample_processors.moment_normalization
emmi.pipeline.sample_processors.point_sampling
emmi.pipeline.sample_processors.position_normalization
emmi.pipeline.sample_processors.rename_keys
emmi.pipeline.sample_processors.replace_key
emmi.pipeline.sample_processors.samplewise_normalization
emmi.pipeline.sample_processors.supernode_sampling

emmi.pipeline.sample_processors.drop_outliers

emmi.pipeline.collators.field_decoder

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emmi.pipeline.sample_processors
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