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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
    - emmi_inference.models.base_model
    - emmi_inference.models.loader
    - emmi_inference.models.modules
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      - emmi_inference.models.modules.attention
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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
        
        emmi_inference.models.modules.attention.sharedweights_splitattn_attention
      - emmi_inference.models.modules.blocks
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        emmi_inference.models.modules.blocks.perceiver_block
        
        emmi_inference.models.modules.blocks.transformer_block
      - emmi_inference.models.modules.continuous_sincos_embed
      - emmi_inference.models.modules.mlp
      - emmi_inference.models.modules.rope
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      - emmi_inference.models.modules.supernode_pooling_posonly
    - emmi_inference.models.pipelines
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    - emmi_inference.models.registry
    - emmi_inference.models.transolver
    - emmi_inference.models.upt
  - emmi_inference.preprocess
  - emmi_inference.runner
  - emmi_inference.s3_spooling_uploader
  - emmi_inference.writer
High level API (emmi)
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- emmi
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  - emmi.callbacks
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    - emmi.callbacks.supernode_pooling_coverage
  - emmi.datasets
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    - emmi.datasets.ahmedml
    - emmi.datasets.drivaerml
  - emmi.functional
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  - emmi.models
  - emmi.modules
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    - emmi.modules.activations
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    - emmi.modules.blocks
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    - emmi.modules.decoder
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      - emmi.modules.decoder.deep_perceiver_decoder
    - emmi.modules.encoder
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    - emmi.modules.layers
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    - emmi.modules.mlp
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      - emmi.modules.mlp.mlp
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    - emmi.modules.preprocessors
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      - emmi.modules.preprocessors.normalizers
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        emmi.modules.preprocessors.normalizers.mean_std_normalization
        
        emmi.modules.preprocessors.normalizers.position_normalizer
        
        emmi.modules.preprocessors.normalizers.shift_and_scale_normalizer
        
        emmi.modules.preprocessors.normalizers.types
      - emmi.modules.preprocessors.numpy_to_torch_tensor
  - emmi.optim
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  - emmi.pipeline
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    - emmi.pipeline.batch_processors
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    - emmi.pipeline.collators
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    - emmi.pipeline.sample_processors
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  - emmi.preprocessing
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    - emmi.preprocessing.calculate_statistics_all
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    - emmi.preprocessing.process_drivaer_and_ahmed_volumetric
    - emmi.preprocessing.shapenet_car
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      - emmi.preprocessing.shapenet_car.preprocess_shapenet_car
  - emmi.schemas
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      - emmi.schemas.data.data_specs
    - emmi.schemas.models
  - emmi.setup
  - emmi.types
  - emmi.utils
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Low level API (ksuit)
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- ksuit
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  - ksuit.callbacks
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    - ksuit.callbacks.base
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    - ksuit.callbacks.default_callbacks
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    - ksuit.callbacks.offline_callbacks
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      - ksuit.callbacks.offline_callbacks.offline_loss
    - ksuit.callbacks.online_callbacks
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      - ksuit.callbacks.online_callbacks.best_metric
      - ksuit.callbacks.online_callbacks.update_output
  - ksuit.cli
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    - ksuit.cli.main_calculate_stats
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  - ksuit.configs
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  - ksuit.data
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    - ksuit.data.base
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    - ksuit.data.pipeline
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    - ksuit.data.preprocessors
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    - ksuit.data.samplers
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      - ksuit.data.samplers.interleaved_sampler
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    - ksuit.data.wrappers
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      - ksuit.data.wrappers.dataset_wrappers
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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
      - ksuit.data.wrappers.property_subset_wrapper
  - ksuit.distributed
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    - ksuit.distributed.config
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      - ksuit.distributed.config.distributed_config
    - ksuit.distributed.functional
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      - ksuit.distributed.functional.all_gather_grad_autograd
    - ksuit.distributed.gather
    - ksuit.distributed.run
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  - ksuit.extractors
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    - ksuit.extractors.forward_hook
  - ksuit.factory
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    - ksuit.factory.base
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      - ksuit.factory.base.factory_base
      - ksuit.factory.base.reflection_utils
    - ksuit.factory.dataset_factory
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  - ksuit.initializers
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    - ksuit.initializers.base
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      - ksuit.initializers.base.checkpoint_initializer
      - ksuit.initializers.base.initializer_base
    - ksuit.initializers.previous_run_initializer
    - ksuit.initializers.resume_initializer
  - ksuit.models
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  - ksuit.optimizer
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    - ksuit.optimizer.optimizer_wrapper
    - ksuit.optimizer.param_group_modifiers
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        ksuit.optimizer.param_group_modifiers.base.param_group_modifier_base
      - ksuit.optimizer.param_group_modifiers.lr_scale_by_name_modifier
      - ksuit.optimizer.param_group_modifiers.weight_decay_by_name_modifier
  - ksuit.providers
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  - ksuit.runners
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    - ksuit.runners.hydra_runner
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  - ksuit.schedules
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    - ksuit.schedules.constant_schedule
    - ksuit.schedules.cosine
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      - ksuit.schedules.cosine.decreasing
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    - ksuit.schedules.custom_schedule
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    - ksuit.schedules.linear
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      - ksuit.schedules.linear.decreasing
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    - ksuit.schedules.polynomial
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      - ksuit.schedules.polynomial.decreasing
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    - ksuit.schedules.step
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  - ksuit.scripts
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    - ksuit.scripts.validate_pytorch_compatibilities
  - ksuit.setup
  - ksuit.trackers
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  - ksuit.trainers
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    - ksuit.trainers.base
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  - ksuit.utils
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    - ksuit.utils.bidict
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    - ksuit.utils.common
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    - ksuit.utils.data
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      - ksuit.utils.data.data_container
    - ksuit.utils.logging
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    - ksuit.utils.model
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      - ksuit.utils.model.helpers
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    - ksuit.utils.platform
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      - ksuit.utils.platform.system
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    - ksuit.utils.torch
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    - ksuit.utils.training
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  - ksuit.writers
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    - ksuit.writers.checkpoint_writer
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ksuit.providers¶

Submodules¶

ksuit.providers.dataset_config_provider
ksuit.providers.metric_property_provider
ksuit.providers.path_provider

ksuit.providers.dataset_config_provider

ksuit.optimizer.param_group_modifiers.weight_decay_by_name_modifier

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