diff --git a/.buildinfo b/.buildinfo new file mode 100644 index 000000000..a8e20cecc --- /dev/null +++ b/.buildinfo @@ -0,0 +1,4 @@ +# Sphinx build info version 1 +# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. +config: b5100acc99d117426e20a5fd4036dd8b +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 000000000..e69de29bb diff --git a/_modules/index.html b/_modules/index.html new file mode 100644 index 000000000..54eaddadf --- /dev/null +++ b/_modules/index.html @@ -0,0 +1,138 @@ + + + + + + Overview: module code — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + +
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Source code for modalities.checkpointing.checkpointing_instruction

+from dataclasses import dataclass, field
+from typing import List
+
+
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+[docs] +@dataclass +class CheckpointingInstruction: + """ + Instruction to save and delete checkpoints. + """ + + save_current: bool = False + checkpoints_to_delete: List[int] = field(default_factory=list)
+ +
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+ + + + \ No newline at end of file diff --git a/_modules/modalities/config/types.html b/_modules/modalities/config/types.html new file mode 100644 index 000000000..5bf87c506 --- /dev/null +++ b/_modules/modalities/config/types.html @@ -0,0 +1,140 @@ + + + + + + modalities.config.types — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + +
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Source code for modalities.config.types

+from enum import Enum
+
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+[docs] +class ProcessGroupBackendType(Enum): + nccl = "nccl"
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+ + + + \ No newline at end of file diff --git a/_modules/modalities/exceptions.html b/_modules/modalities/exceptions.html new file mode 100644 index 000000000..03ddc35f2 --- /dev/null +++ b/_modules/modalities/exceptions.html @@ -0,0 +1,165 @@ + + + + + + modalities.exceptions — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + +
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Source code for modalities.exceptions

+
+[docs] +class DatasetNotFoundError(Exception): + pass
+ + + +
+[docs] +class BatchStateError(Exception): + pass
+ + + +
+[docs] +class CheckpointingError(Exception): + pass
+ + + +
+[docs] +class RunningEnvError(Exception): + pass
+ + + +
+[docs] +class TimeRecorderStateError(Exception): + pass
+ +
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+ + + + \ No newline at end of file diff --git a/_modules/modalities/logging_broker/message_broker.html b/_modules/modalities/logging_broker/message_broker.html new file mode 100644 index 000000000..05aa43b7e --- /dev/null +++ b/_modules/modalities/logging_broker/message_broker.html @@ -0,0 +1,182 @@ + + + + + + modalities.logging_broker.message_broker — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + +
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Source code for modalities.logging_broker.message_broker

+from abc import ABC, abstractmethod
+from collections import defaultdict
+from modalities.logging_broker.messages import Message, MessageTypes
+from modalities.logging_broker.subscriber import MessageSubscriberIF
+from typing import Dict, List
+
+
+
+[docs] +class MessageBrokerIF(ABC): + """Interface for message broker objects.""" +
+[docs] + @abstractmethod + def add_subscriber(self, subscription: MessageTypes, subscriber: MessageSubscriberIF): + raise NotImplementedError
+ + +
+[docs] + @abstractmethod + def distribute_message(self, message: Message): + raise NotImplementedError
+
+ + + +
+[docs] +class MessageBroker(MessageBrokerIF): + """The MessageBroker sends notifications to its subscribers.""" + def __init__(self) -> None: + self.subscriptions: Dict[MessageTypes, List[MessageSubscriberIF]] = defaultdict(list) + +
+[docs] + def add_subscriber(self, subscription: MessageTypes, subscriber: MessageSubscriberIF): + """Adds a single subscriber.""" + self.subscriptions[subscription].append(subscriber)
+ + +
+[docs] + def distribute_message(self, message: Message): + """Distributes message to all subscribers.""" + message_type = message.message_type + for subscriber in self.subscriptions[message_type]: + subscriber.consume_message(message=message)
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Source code for modalities.logging_broker.messages

+from dataclasses import dataclass
+from enum import Enum
+from typing import Generic, TypeVar
+
+
+
+[docs] +class MessageTypes(Enum): + HIGH_LEVEL_PROGRESS_UPDATE = "HIGH_LEVEL_PROGRESS_UPDATE" + BATCH_PROGRESS_UPDATE = "PROGRESS_UPDATE" + ERROR_MESSAGE = "ERROR_MESSAGE" + EVALUATION_RESULT = "EVALUATION_RESULT"
+ + + +T = TypeVar("T") + + +
+[docs] +@dataclass +class Message(Generic[T]): + """An object representing a message.""" + + message_type: MessageTypes + payload: T + global_rank: int = 0 + local_rank: int = 0
+ + + +
+[docs] +class ExperimentStatus(Enum): + TRAIN = "TRAIN" + EVALUATION = "EVALUATION"
+ + + +
+[docs] +@dataclass +class BatchProgressUpdate: + """Object holding the state of the current batch computation progress.""" + + global_train_sample_id: int # current sample id in the training dataloader (summed over all ranks). + global_dataset_sample_id: int # current sample id in the respective dataloader (summed over all ranks). + # Note: in case of ExperimentState.TRAIN, dataset_batch_id=global_train_batch_id + experiment_status: ExperimentStatus + dataloader_tag: str
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Source code for modalities.logging_broker.publisher

+from abc import ABC, abstractmethod
+from typing import Generic, TypeVar
+from modalities.logging_broker.message_broker import Message, MessageBroker
+
+from modalities.logging_broker.messages import MessageTypes
+
+T = TypeVar("T")
+
+
+
+[docs] +class MessagePublisherIF(ABC, Generic[T]): +
+[docs] + @abstractmethod + def publish_message(self, payload: T, message_type: MessageTypes): + raise NotImplementedError
+
+ + + +
+[docs] +class MessagePublisher(MessagePublisherIF[T]): + """The MessagePublisher sends messages through a message broker.""" + def __init__( + self, + message_broker: MessageBroker, + global_rank: int, + local_rank: int, + ): + self.message_broker = message_broker + self.global_rank = global_rank + self.local_rank = local_rank + +
+[docs] + def publish_message(self, payload: T, message_type: MessageTypes): + """Publish a message through the message broker.""" + message = Message[T]( + message_type=message_type, + global_rank=self.global_rank, + local_rank=self.local_rank, + payload=payload, + ) + self.message_broker.distribute_message(message)
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+ + + + \ No newline at end of file diff --git a/_modules/modalities/logging_broker/subscriber.html b/_modules/modalities/logging_broker/subscriber.html new file mode 100644 index 000000000..a2e198ea3 --- /dev/null +++ b/_modules/modalities/logging_broker/subscriber.html @@ -0,0 +1,152 @@ + + + + + + modalities.logging_broker.subscriber — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + +
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Source code for modalities.logging_broker.subscriber

+from abc import ABC, abstractmethod
+from typing import Generic, TypeVar
+from modalities.logging_broker.messages import Message
+
+T = TypeVar("T")
+
+
+
+[docs] +class MessageSubscriberIF(ABC, Generic[T]): + """Interface for message subscribers.""" + +
+[docs] + @abstractmethod + def consume_message(self, message: Message[T]): + raise NotImplementedError
+
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+ + + + \ No newline at end of file diff --git a/_sources/api/modalities.checkpointing.rst.txt b/_sources/api/modalities.checkpointing.rst.txt new file mode 100644 index 000000000..359504c33 --- /dev/null +++ b/_sources/api/modalities.checkpointing.rst.txt @@ -0,0 +1,53 @@ +modalities.checkpointing package +================================ + +Submodules +---------- + +modalities.checkpointing.checkpointing module +--------------------------------------------- + +.. automodule:: modalities.checkpointing.checkpointing + :members: + :undoc-members: + :show-inheritance: + +modalities.checkpointing.checkpointing\_execution module +-------------------------------------------------------- + +.. automodule:: modalities.checkpointing.checkpointing_execution + :members: + :undoc-members: + :show-inheritance: + +modalities.checkpointing.checkpointing\_factory module +------------------------------------------------------ + +.. automodule:: modalities.checkpointing.checkpointing_factory + :members: + :undoc-members: + :show-inheritance: + +modalities.checkpointing.checkpointing\_instruction module +---------------------------------------------------------- + +.. automodule:: modalities.checkpointing.checkpointing_instruction + :members: + :undoc-members: + :show-inheritance: + +modalities.checkpointing.checkpointing\_strategies module +--------------------------------------------------------- + +.. automodule:: modalities.checkpointing.checkpointing_strategies + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.checkpointing + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.config.rst.txt b/_sources/api/modalities.config.rst.txt new file mode 100644 index 000000000..49bb4a13c --- /dev/null +++ b/_sources/api/modalities.config.rst.txt @@ -0,0 +1,37 @@ +modalities.config package +========================= + +Submodules +---------- + +modalities.config.config module +------------------------------- + +.. automodule:: modalities.config.config + :members: + :undoc-members: + :show-inheritance: + +modalities.config.lookup\_types module +-------------------------------------- + +.. automodule:: modalities.config.lookup_types + :members: + :undoc-members: + :show-inheritance: + +modalities.config.types module +------------------------------ + +.. automodule:: modalities.config.types + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.config + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.dataloader.open_gptx_dataset.rst.txt b/_sources/api/modalities.dataloader.open_gptx_dataset.rst.txt new file mode 100644 index 000000000..993212a37 --- /dev/null +++ b/_sources/api/modalities.dataloader.open_gptx_dataset.rst.txt @@ -0,0 +1,29 @@ +modalities.dataloader.open\_gptx\_dataset package +================================================= + +Submodules +---------- + +modalities.dataloader.open\_gptx\_dataset.mmap\_dataset module +-------------------------------------------------------------- + +.. automodule:: modalities.dataloader.open_gptx_dataset.mmap_dataset + :members: + :undoc-members: + :show-inheritance: + +modalities.dataloader.open\_gptx\_dataset.open\_gptx\_dataset module +-------------------------------------------------------------------- + +.. automodule:: modalities.dataloader.open_gptx_dataset.open_gptx_dataset + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.dataloader.open_gptx_dataset + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.dataloader.rst.txt b/_sources/api/modalities.dataloader.rst.txt new file mode 100644 index 000000000..9db58c738 --- /dev/null +++ b/_sources/api/modalities.dataloader.rst.txt @@ -0,0 +1,77 @@ +modalities.dataloader package +============================= + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + modalities.dataloader.open_gptx_dataset + +Submodules +---------- + +modalities.dataloader.create\_index module +------------------------------------------ + +.. automodule:: modalities.dataloader.create_index + :members: + :undoc-members: + :show-inheritance: + +modalities.dataloader.create\_packed\_data module +------------------------------------------------- + +.. automodule:: modalities.dataloader.create_packed_data + :members: + :undoc-members: + :show-inheritance: + +modalities.dataloader.dataloader module +--------------------------------------- + +.. automodule:: modalities.dataloader.dataloader + :members: + :undoc-members: + :show-inheritance: + +modalities.dataloader.dataloader\_factory module +------------------------------------------------ + +.. automodule:: modalities.dataloader.dataloader_factory + :members: + :undoc-members: + :show-inheritance: + +modalities.dataloader.dataset module +------------------------------------ + +.. automodule:: modalities.dataloader.dataset + :members: + :undoc-members: + :show-inheritance: + +modalities.dataloader.large\_file\_lines\_reader module +------------------------------------------------------- + +.. automodule:: modalities.dataloader.large_file_lines_reader + :members: + :undoc-members: + :show-inheritance: + +modalities.dataloader.samplers module +------------------------------------- + +.. automodule:: modalities.dataloader.samplers + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.dataloader + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.logging_broker.rst.txt b/_sources/api/modalities.logging_broker.rst.txt new file mode 100644 index 000000000..10ab1d7e3 --- /dev/null +++ b/_sources/api/modalities.logging_broker.rst.txt @@ -0,0 +1,53 @@ +modalities.logging\_broker package +================================== + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + modalities.logging_broker.subscriber_impl + +Submodules +---------- + +modalities.logging\_broker.message\_broker module +------------------------------------------------- + +.. automodule:: modalities.logging_broker.message_broker + :members: + :undoc-members: + :show-inheritance: + +modalities.logging\_broker.messages module +------------------------------------------ + +.. automodule:: modalities.logging_broker.messages + :members: + :undoc-members: + :show-inheritance: + +modalities.logging\_broker.publisher module +------------------------------------------- + +.. automodule:: modalities.logging_broker.publisher + :members: + :undoc-members: + :show-inheritance: + +modalities.logging\_broker.subscriber module +-------------------------------------------- + +.. automodule:: modalities.logging_broker.subscriber + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.logging_broker + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.logging_broker.subscriber_impl.rst.txt b/_sources/api/modalities.logging_broker.subscriber_impl.rst.txt new file mode 100644 index 000000000..8fdc94038 --- /dev/null +++ b/_sources/api/modalities.logging_broker.subscriber_impl.rst.txt @@ -0,0 +1,29 @@ +modalities.logging\_broker.subscriber\_impl package +=================================================== + +Submodules +---------- + +modalities.logging\_broker.subscriber\_impl.batch\_progress\_subscriber module +------------------------------------------------------------------------------ + +.. automodule:: modalities.logging_broker.subscriber_impl.batch_progress_subscriber + :members: + :undoc-members: + :show-inheritance: + +modalities.logging\_broker.subscriber\_impl.results\_subscriber module +---------------------------------------------------------------------- + +.. automodule:: modalities.logging_broker.subscriber_impl.results_subscriber + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.logging_broker.subscriber_impl + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.models.gpt2.rst.txt b/_sources/api/modalities.models.gpt2.rst.txt new file mode 100644 index 000000000..3546e5e89 --- /dev/null +++ b/_sources/api/modalities.models.gpt2.rst.txt @@ -0,0 +1,45 @@ +modalities.models.gpt2 package +============================== + +Submodules +---------- + +modalities.models.gpt2.collator module +-------------------------------------- + +.. automodule:: modalities.models.gpt2.collator + :members: + :undoc-members: + :show-inheritance: + +modalities.models.gpt2.gpt2\_model module +----------------------------------------- + +.. automodule:: modalities.models.gpt2.gpt2_model + :members: + :undoc-members: + :show-inheritance: + +modalities.models.gpt2.preprocess\_dataset module +------------------------------------------------- + +.. automodule:: modalities.models.gpt2.preprocess_dataset + :members: + :undoc-members: + :show-inheritance: + +modalities.models.gpt2.pretrained\_gpt\_model module +---------------------------------------------------- + +.. automodule:: modalities.models.gpt2.pretrained_gpt_model + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.models.gpt2 + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.models.rst.txt b/_sources/api/modalities.models.rst.txt new file mode 100644 index 000000000..288e449b1 --- /dev/null +++ b/_sources/api/modalities.models.rst.txt @@ -0,0 +1,29 @@ +modalities.models package +========================= + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + modalities.models.gpt2 + +Submodules +---------- + +modalities.models.model module +------------------------------ + +.. automodule:: modalities.models.model + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.models + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.rst.txt b/_sources/api/modalities.rst.txt new file mode 100644 index 000000000..086380203 --- /dev/null +++ b/_sources/api/modalities.rst.txt @@ -0,0 +1,106 @@ +modalities package +================== + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + modalities.checkpointing + modalities.config + modalities.dataloader + modalities.logging_broker + modalities.models + modalities.running_env + +Submodules +---------- + +modalities.activation\_checkpointing module +------------------------------------------- + +.. automodule:: modalities.activation_checkpointing + :members: + :undoc-members: + :show-inheritance: + +modalities.batch module +----------------------- + +.. automodule:: modalities.batch + :members: + :undoc-members: + :show-inheritance: + +modalities.evaluator module +--------------------------- + +.. automodule:: modalities.evaluator + :members: + :undoc-members: + :show-inheritance: + +modalities.exceptions module +---------------------------- + +.. automodule:: modalities.exceptions + :members: + :undoc-members: + :show-inheritance: + +modalities.gym module +--------------------- + +.. automodule:: modalities.gym + :members: + :undoc-members: + :show-inheritance: + +modalities.loss\_functions module +--------------------------------- + +.. automodule:: modalities.loss_functions + :members: + :undoc-members: + :show-inheritance: + +modalities.resolver\_register module +------------------------------------ + +.. automodule:: modalities.resolver_register + :members: + :undoc-members: + :show-inheritance: + +modalities.test module +---------------------- + +.. automodule:: modalities.test + :members: + :undoc-members: + :show-inheritance: + +modalities.trainer module +------------------------- + +.. automodule:: modalities.trainer + :members: + :undoc-members: + :show-inheritance: + +modalities.util module +---------------------- + +.. automodule:: modalities.util + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.running_env.fsdp.rst.txt b/_sources/api/modalities.running_env.fsdp.rst.txt new file mode 100644 index 000000000..ebe831c24 --- /dev/null +++ b/_sources/api/modalities.running_env.fsdp.rst.txt @@ -0,0 +1,29 @@ +modalities.running\_env.fsdp package +==================================== + +Submodules +---------- + +modalities.running\_env.fsdp.fsdp\_running\_env module +------------------------------------------------------ + +.. automodule:: modalities.running_env.fsdp.fsdp_running_env + :members: + :undoc-members: + :show-inheritance: + +modalities.running\_env.fsdp.reducer module +------------------------------------------- + +.. automodule:: modalities.running_env.fsdp.reducer + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.running_env.fsdp + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modalities.running_env.rst.txt b/_sources/api/modalities.running_env.rst.txt new file mode 100644 index 000000000..20782d0a4 --- /dev/null +++ b/_sources/api/modalities.running_env.rst.txt @@ -0,0 +1,37 @@ +modalities.running\_env package +=============================== + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + modalities.running_env.fsdp + +Submodules +---------- + +modalities.running\_env.env\_utils module +----------------------------------------- + +.. automodule:: modalities.running_env.env_utils + :members: + :undoc-members: + :show-inheritance: + +modalities.running\_env.running\_env module +------------------------------------------- + +.. automodule:: modalities.running_env.running_env + :members: + :undoc-members: + :show-inheritance: + +Module contents +--------------- + +.. automodule:: modalities.running_env + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/modules.rst.txt b/_sources/api/modules.rst.txt new file mode 100644 index 000000000..cf449dd4c --- /dev/null +++ b/_sources/api/modules.rst.txt @@ -0,0 +1,7 @@ +modalities +========== + +.. toctree:: + :maxdepth: 4 + + modalities diff --git a/_sources/benchmarking.rst.txt b/_sources/benchmarking.rst.txt new file mode 100644 index 000000000..13de83b0c --- /dev/null +++ b/_sources/benchmarking.rst.txt @@ -0,0 +1,3 @@ +Benchmarking +============================= +**EDIT "docs/source/benchmarking.rst" IN ORDER TO MAKE CHANGES HERE** diff --git a/_sources/configuration.rst.txt b/_sources/configuration.rst.txt new file mode 100644 index 000000000..e51335fa9 --- /dev/null +++ b/_sources/configuration.rst.txt @@ -0,0 +1,89 @@ +.. role:: python(code) + :language: python + +Configuration +======================================================================== + +Training config is defined in yaml formatted files. See :file:`data/config_lorem_ipsum.yaml`. These configs are very explicit specifying all training parameters to keep model trainings as transparent and reproducible as possible. Each config setting is reflected in pydantic classes in :file:`src/modalities/config/*.py`. In the config you need to define which config classes to load in field type_hint. This specifies the concrete class. A second parameter, config, then takes all the constructor arguments for that config class. This way it is easy to change i.e. DataLoaders while still having input validation in place. + +Pydantic and ClassResolver +------------------------------------------------------------------------ + +The mechanismn introduced to instantiate classes via :python:`type_hint` in the :file:`config.yaml`, utilizes + +1) Omegaconf to load the config yaml file +2) Pydantic for the validation of the config +3) ClassResolver to instantiate the correct, concrete class of a class hierarchy. + +Firstly, Omegaconf loads the config yaml file and resolves internal refrences such as `${subconfig.attribue}`. + +Then, Pydantic validates the whole config as is and checks that each of the sub-configs are :python:`pydantic.BaseModel` classes. +For configs, which allow different concrete classes to be instantiated by :python:`ClassResolver`, the special member names :python:`type_hint` and :python:`config` are introduced. +With this we utilize Pydantics feature to auto-select a fitting type based on the keys in the config yaml file. + +:python:`ClassResolver` replaces large if-else control structures to infer the correct concrete type with a :python:`type_hint` used for correct class selection: + +.. code-block:: python + + activation_resolver = ClassResolver( + [nn.ReLU, nn.Tanh, nn.Hardtanh], + base=nn.Module, + default=nn.ReLU, + ) + type_hint="ReLU" + activation_kwargs={...} + activation_resolver.make(type_hint, activation_kwargs), + + +In our implmentation we go a step further, as both, + +* a :python:`type_hint` in a :python:`BaseModel` config must be of type :python:`modalities.config.lookup_types.LookupEnum` and +* :python:`config` is a union of allowed concrete configs of base type :python:`BaseModel`. + +:python:`config` hereby replaces :python:`activation_kwargs` in the example above, and replaces it with pydantic-validated :python:`BaseModel` configs. + +With this, a mapping between type hint strings needed for `class-resolver`, and the concrete class is introduced, while allowing pydantic to select the correct concrete config: + +.. code-block:: python + + from enum import Enum + from pydantic import BaseModel, PositiveInt, PositiveFloat, conint, confloat + + class LookupEnum(Enum): + @classmethod + def _missing_(cls, value: str) -> type: + """constructs Enum by member name, if not constructable by value""" + return cls.__dict__[value] + + class SchedulerTypes(LookupEnum): + StepLR = torch.optim.lr_scheduler.StepLR + ConstantLR = torch.optim.lr_scheduler.ConstantLR + + class StepLRConfig(BaseModel): + step_size: conint(ge=1) + gamma: confloat(ge=0.0) + + + class ConstantLRConfig(BaseModel): + factor: PositiveFloat + total_iters: PositiveInt + + + class SchedulerConfig(BaseModel): + type_hint: SchedulerTypes + config: StepLRConfig | ConstantLRConfig + +To allow a user-friendly instantiation, all class resolvers are defined in the :python:`ResolverRegistry` and :python:`build_component_by_config` as convenience function is introduced. Dependecies can be passed-through with the :python:`extra_kwargs` argument: + +.. code-block:: python + + resolvers = ResolverRegister(config=config) + optimizer = ... # our example dependency + scheduler = resolvers.build_component_by_config(config=config.scheduler, extra_kwargs=dict(optimizer=optimizer)) + +To add a new resolver use :python:`add_resolver`, and the corresponding added resolver will be accessible by the register_key given during adding. + +For access use the :python:`build_component_by_key_query` function of the :python:`ResolverRegistry`. + + + diff --git a/_sources/entrypoints.rst.txt b/_sources/entrypoints.rst.txt new file mode 100644 index 000000000..134bbaff3 --- /dev/null +++ b/_sources/entrypoints.rst.txt @@ -0,0 +1,68 @@ +.. role:: python(code) + :language: python + +.. role:: bash(code) + :language: bash + + +Entrypoints +======================================================= + +We use `click `_ as a tool to add new entry points and their CLI arguments. +For this we have a main entry point from which all other entry points are started. + +The main entry point is :file:`src/modalities/__main__.py:main()`. +We register other sub-entrypoints by using our main :python:`click.group`, called :python:`main`, as follows: + +.. code-block:: python + + @main.command(name="my_new_entry_point") + + +See the following full example: + +.. code-block:: python + + + import click + import click_pathlib + + + @click.group() + def main() -> None: + pass + + + config_option = click.option( + "--config_file_path", + type=click_pathlib.Path(exists=False), + required=True, + help="Path to a file with the YAML config file.", + ) + + + @main.command(name="do_stuff") + @config_option + @click.option( + "--my_cli_argument", + type=int, + required=True, + help="New integer argument", + ) + def entry_point_do_stuff(config_file_path: Path, my_cli_argument: int): + print(f"Do stuff with {config_file_path} and {my_cli_argument}...) + ... + + if __name__ == "__main__": + main() + +With + +.. code-block:: python + + [project.scripts] + modalities = "modalities.__main__:main" + +in our :file:`pyproject.toml`, we can start only main with :python:`modalities` (which does nothing), or a specific sub-entrypoint e.g. :bash:`modalities do_stuff --config_file_path config_files/config.yaml --my_cli_argument 3537`. + +Alternatively, directly use :bash:`src/modalities/__main__.py do_stuff --config_file_path config_files/config.yaml --my_cli_argument 3537`. diff --git a/_sources/future_work.rst.txt b/_sources/future_work.rst.txt new file mode 100644 index 000000000..9c4797154 --- /dev/null +++ b/_sources/future_work.rst.txt @@ -0,0 +1,9 @@ +Future Work +======================================================= + +The team is currently working on our already established LLM code base to bring in multi-modality into the mix. This extension will be based on ideas similar to CoCa and/or AudioPaLM, which would enable users to either use different encoders for different modalities in conjunction with a text-based decoder, or use a decoder-only architecture. +Future modalities other than text can be used, namely, + +* image +* audio +* video diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt new file mode 100644 index 000000000..c416c8a62 --- /dev/null +++ b/_sources/index.rst.txt @@ -0,0 +1,53 @@ +Welcome to Modalities' documentation! +====================================================================== + +We propose a novel training framework for Multimodal Large Language Models (LLMs) that prioritizes code readability and efficiency. +The codebase adheres to the principles of "clean code," minimizing Lines of Code (LoC) while maintaining extensibility. +A single, comprehensive configuration file enables easy customization of various model and training parameters. + +A key innovation is the adoption of a PyTorch-native training loop integrated with the Fully Sharded Data Parallelism (FSDP) technique. +FSDP optimizes memory usage and training speed, enhancing scalability for large-scale multimodal models. +By leveraging PyTorch's native capabilities, our framework simplifies the development process and promotes ease of maintenance. + +The framework's modular design facilitates experimentation with different multimodal architectures and training strategies. +Users can seamlessly integrate diverse datasets and model components, allowing for comprehensive exploration of multimodal learning tasks. +The combination of clean code, minimal configuration, and PyTorch-native training with FSDP contributes to a user-friendly and efficient platform for developing state-of-the-art multimodal language models. + +.. note:: + + This project is under active development. + +.. toctree:: + :caption: Getting Started + + quickstart + configuration + model_cards + benchmarking + known_issues + +.. toctree:: + :caption: Datasets + + memmap + +.. toctree:: + :caption: Entrypoints + + entrypoints + +.. toctree:: + :caption: VSCode Setup + + vs_code_setup + + +.. toctree:: + :caption: Future Work + + future_work + +.. toctree:: + :caption: API + + api/modules \ No newline at end of file diff --git a/_sources/known_issues.rst.txt b/_sources/known_issues.rst.txt new file mode 100644 index 000000000..6ac9a5799 --- /dev/null +++ b/_sources/known_issues.rst.txt @@ -0,0 +1,7 @@ +Known Issues +================================================================== + +`GitHub Issues `_ + +1. hardcoded dataset path :file:`/raid/s3/opengptx/mehdi/temp/temp_data/train_text_document.bin` in :file:`config/config.yaml` +2. Dependency on weights&biases diff --git a/_sources/memmap.rst.txt b/_sources/memmap.rst.txt new file mode 100644 index 000000000..22793c089 --- /dev/null +++ b/_sources/memmap.rst.txt @@ -0,0 +1,41 @@ +.. role:: python(code) + :language: python + +.. role:: bash(code) + :language: bash + +MemMap Datasets +==================================================== + +MemMapDataset Index Generator +------------------------------------------------------------------------------ + +The :python:`MemMapDataset` requires an index file providing the necessary pointers into the raw data file. The :python:`MemMapDataset` can create the index file lazily, however, it is advised to create it beforehand. This can be done by running + +.. code-block:: bash + + modalities create_memmap_index + +The index will be created in the same directory as the raw data file. For further options you may look into the usage documentation via :bash:`modalities create_memmap_index --help`. + +Packed Dataset Generator +-------------------------------------------------------------------------------- + +The :python:`PackedMemMapDatasetContinuous` and :python:`PackedMemMapDatasetMegatron` require a packed data file. To create the data file, you first have to generate a :python:`MemMapDataset` index file as described `above `_. Assuming the index and raw data are located in the same directory, you can simply execute the following command: + +.. code-block:: bash + + modalities create_packed_data + +The packed data file will be created in the same directory as the raw data file. For further options you may look into the usage documentation via :bash:`modalities create_packed_data --help`. + +Packed Data Format +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The packed data file is a bytestream containing both the tokenized data as well as an index denoting the start and length of the tokenized documents inside the bytestream. The data file consists of 3 concatenated parts: + +header segment | data segment | index segment + +* **header segment**: This section is a 8 bytes sized integer which encodes the length of the data segment in bytes. +* **data segment**: This section contains a concatenation of all documents in form of 4 bytes sized tokens. An end-of-sequence token is placed between consecutive documents. +* **index segment**: This section contains a pickled index which locates the documents inside the data segment. The index is basically a list of tuples, where each tuple contains the start position and length in bytes for the corresponding document, e.g., :python:`[(start_doc1, len_doc1), (start_doc2, len_doc2), ....]`. diff --git a/_sources/model_cards.rst.txt b/_sources/model_cards.rst.txt new file mode 100644 index 000000000..dd7814fe4 --- /dev/null +++ b/_sources/model_cards.rst.txt @@ -0,0 +1,3 @@ +Model Cards +==================================================== + diff --git a/_sources/quickstart.rst.txt b/_sources/quickstart.rst.txt new file mode 100644 index 000000000..d39a78a82 --- /dev/null +++ b/_sources/quickstart.rst.txt @@ -0,0 +1,39 @@ +Quickstart +==================================================== + +Installation +----------------------------------------------------- +Setup a conda environment `conda create -n modalities python=3.10 & conda activate modalities` and install the requirements `pip install -e .`. + +Setup Dataset +------------------------------------------------- +To start a training you need to create memmap dataset out of a jsonl file first, then pack it, then run the training. + +.. code-block:: bash + + # Create memmap dataset from jsonl file. + modalities create_memmap_index + + # Create packed dataset. + modalities create_packed_data + +For example, using the lorem ipsum example: + +.. code-block:: bash + + # Create memmap dataset from jsonl file. + modalities create_memmap_index data/lorem_ipsum.jsonl + + # Create packed dataset. + modalities create_packed_data data/lorem_ipsum.jsonl + +Training +---------------------------------------------------- +To run a training environment variables in a multi-gpu setting are required. + +.. code-block:: bash + + CUDA_VISIBLE_DEVICES=0,1 torchrun --nnodes 1 --nproc_per_node 2 --rdzv-endpoint=0.0.0.0:29502 src/modalities/__main__.py run --config_file_path config_files/config_lorem_ipsum.yaml + +4. **Evaluation:** + WIP add contents diff --git a/_sources/vs_code_setup.rst.txt b/_sources/vs_code_setup.rst.txt new file mode 100644 index 000000000..22dfc74fe --- /dev/null +++ b/_sources/vs_code_setup.rst.txt @@ -0,0 +1,71 @@ +VSCode Setup +==================================================== + + + +We recommend a docker environment based on the most recent pytorch e.g.: + +.. code-block:: bash + + FROM pytorch/pytorch:2.1.2-cuda12.1-cudnn8-devel + RUN apt-get update && apt-get install -y wget openssh-client git-core bash-completion + RUN wget -O /tmp/git-lfs.deb https://packagecloud.io/github/git-lfs/packages/ubuntu/focal/git-lfs_2.13.3_amd64.deb/download.deb && \ + dpkg -i /tmp/git-lfs.deb && \ + rm /tmp/git-lfs.deb + RUN echo 'source /usr/share/bash-completion/completions/git' >> ~/.bashrc + CMD ["/bin/bash"] + +This works seamlessly in combination with the VSCode DevContainer extention: + +.. code-block:: json + + { + "name": "Dev Container", + "dockerFile": "Dockerfile", + "runArgs": [ + "--network", + "host", + "--gpus", + "all" + ], + "customizations": { + "vscode": { + "settings": { + "terminal.integrated.shell.linux": "/bin/bash" + }, + "extensions": [ + "ms-python.python" + ] + } + } + } + +In VSCode, add this to your :file:`launch.json`: + +.. code-block:: json + + { + "name": "Torchrun Train and Eval", + "type": "python", + "request": "launch", + "module": "torch.distributed.run", + "env": { + "CUDA_VISIBLE_DEVICES": "4,5" + }, + "args": [ + "--nnodes", + "1", + "--nproc_per_node", + "2", + "--rdzv-endpoint=0.0.0.0:29503", + "src/modalities/__main__.py", + "run", + "--config_file_path", + "config_files/config_lorem_ipsum.yaml", + ], + "console": "integratedTerminal", + "justMyCode": true, + "envFile": "${workspaceFolder}/.env", + "cwd": "${workspaceFolder}/modalities" + } + diff --git a/_static/_sphinx_javascript_frameworks_compat.js b/_static/_sphinx_javascript_frameworks_compat.js new file mode 100644 index 000000000..81415803e --- /dev/null +++ b/_static/_sphinx_javascript_frameworks_compat.js @@ -0,0 +1,123 @@ +/* Compatability shim for jQuery and underscores.js. + * + * Copyright Sphinx contributors + * Released under the two clause BSD licence + */ + +/** + * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL + */ +jQuery.urldecode = function(x) { + if (!x) { + return x + } + return decodeURIComponent(x.replace(/\+/g, ' ')); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. 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font-weight: bold } /* Literal.String.Escape */ +.highlight .sh { color: #4070a0 } /* Literal.String.Heredoc */ +.highlight .si { color: #70a0d0; font-style: italic } /* Literal.String.Interpol */ +.highlight .sx { color: #c65d09 } /* Literal.String.Other */ +.highlight .sr { color: #235388 } /* Literal.String.Regex */ +.highlight .s1 { color: #4070a0 } /* Literal.String.Single */ +.highlight .ss { color: #517918 } /* Literal.String.Symbol */ +.highlight .bp { color: #007020 } /* Name.Builtin.Pseudo */ +.highlight .fm { color: #06287e } /* Name.Function.Magic */ +.highlight .vc { color: #bb60d5 } /* Name.Variable.Class */ +.highlight .vg { color: #bb60d5 } /* Name.Variable.Global */ +.highlight .vi { color: #bb60d5 } /* Name.Variable.Instance */ +.highlight .vm { color: #bb60d5 } /* Name.Variable.Magic */ +.highlight .il { color: #208050 } /* Literal.Number.Integer.Long */ \ No newline at end of file diff --git a/_static/searchtools.js b/_static/searchtools.js new file mode 100644 index 000000000..7918c3fab --- /dev/null +++ b/_static/searchtools.js @@ -0,0 +1,574 @@ +/* + * searchtools.js + * ~~~~~~~~~~~~~~~~ + * + * Sphinx JavaScript utilities for the full-text search. + * + * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ +"use strict"; + +/** + * Simple result scoring code. + */ +if (typeof Scorer === "undefined") { + var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [docname, title, anchor, descr, score, filename] + // and returns the new score. + /* + score: result => { + const [docname, title, anchor, descr, score, filename] = result + return score + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: { + 0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5, // used to be unimportantResults + }, + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + partialTitle: 7, + // query found in terms + term: 5, + partialTerm: 2, + }; +} + +const _removeChildren = (element) => { + while (element && element.lastChild) element.removeChild(element.lastChild); +}; + +/** + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping + */ +const _escapeRegExp = (string) => + string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string + +const _displayItem = (item, searchTerms, highlightTerms) => { + const docBuilder = DOCUMENTATION_OPTIONS.BUILDER; + const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX; + const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX; + const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY; + const contentRoot = document.documentElement.dataset.content_root; + + const [docName, title, anchor, descr, score, _filename] = item; + + let listItem = document.createElement("li"); + let requestUrl; + let linkUrl; + if (docBuilder === "dirhtml") { + // dirhtml builder + let dirname = docName + "/"; + if (dirname.match(/\/index\/$/)) + dirname = dirname.substring(0, dirname.length - 6); + else if (dirname === "index/") dirname = ""; + requestUrl = contentRoot + dirname; + linkUrl = requestUrl; + } else { + // normal html builders + requestUrl = contentRoot + docName + docFileSuffix; + linkUrl = docName + docLinkSuffix; + } + let linkEl = listItem.appendChild(document.createElement("a")); + linkEl.href = linkUrl + anchor; + linkEl.dataset.score = score; + linkEl.innerHTML = title; + if (descr) { + listItem.appendChild(document.createElement("span")).innerHTML = + " (" + descr + ")"; + // highlight search terms in the description + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + } + else if (showSearchSummary) + fetch(requestUrl) + .then((responseData) => responseData.text()) + .then((data) => { + if (data) + listItem.appendChild( + Search.makeSearchSummary(data, searchTerms) + ); + // highlight search terms in the summary + if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js + highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); + }); + Search.output.appendChild(listItem); +}; +const _finishSearch = (resultCount) => { + Search.stopPulse(); + Search.title.innerText = _("Search Results"); + if (!resultCount) + Search.status.innerText = Documentation.gettext( + "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories." + ); + else + Search.status.innerText = _( + `Search finished, found ${resultCount} page(s) matching the search query.` + ); +}; +const _displayNextItem = ( + results, + resultCount, + searchTerms, + highlightTerms, +) => { + // results left, load the summary and display it + // this is intended to be dynamic (don't sub resultsCount) + if (results.length) { + _displayItem(results.pop(), searchTerms, highlightTerms); + setTimeout( + () => _displayNextItem(results, resultCount, searchTerms, highlightTerms), + 5 + ); + } + // search finished, update title and status message + else _finishSearch(resultCount); +}; + +/** + * Default splitQuery function. Can be overridden in ``sphinx.search`` with a + * custom function per language. + * + * The regular expression works by splitting the string on consecutive characters + * that are not Unicode letters, numbers, underscores, or emoji characters. + * This is the same as ``\W+`` in Python, preserving the surrogate pair area. + */ +if (typeof splitQuery === "undefined") { + var splitQuery = (query) => query + .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu) + .filter(term => term) // remove remaining empty strings +} + +/** + * Search Module + */ +const Search = { + _index: null, + _queued_query: null, + _pulse_status: -1, + + htmlToText: (htmlString) => { + const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html'); + htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() }); + const docContent = htmlElement.querySelector('[role="main"]'); + if (docContent !== undefined) return docContent.textContent; + console.warn( + "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template." + ); + return ""; + }, + + init: () => { + const query = new URLSearchParams(window.location.search).get("q"); + document + .querySelectorAll('input[name="q"]') + .forEach((el) => (el.value = query)); + if (query) Search.performSearch(query); + }, + + loadIndex: (url) => + (document.body.appendChild(document.createElement("script")).src = url), + + setIndex: (index) => { + Search._index = index; + if (Search._queued_query !== null) { + const query = Search._queued_query; + Search._queued_query = null; + Search.query(query); + } + }, + + hasIndex: () => Search._index !== null, + + deferQuery: (query) => (Search._queued_query = query), + + stopPulse: () => (Search._pulse_status = -1), + + startPulse: () => { + if (Search._pulse_status >= 0) return; + + const pulse = () => { + Search._pulse_status = (Search._pulse_status + 1) % 4; + Search.dots.innerText = ".".repeat(Search._pulse_status); + if (Search._pulse_status >= 0) window.setTimeout(pulse, 500); + }; + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch: (query) => { + // create the required interface elements + const searchText = document.createElement("h2"); + searchText.textContent = _("Searching"); + const searchSummary = document.createElement("p"); + searchSummary.classList.add("search-summary"); + searchSummary.innerText = ""; + const searchList = document.createElement("ul"); + searchList.classList.add("search"); + + const out = document.getElementById("search-results"); + Search.title = out.appendChild(searchText); + Search.dots = Search.title.appendChild(document.createElement("span")); + Search.status = out.appendChild(searchSummary); + Search.output = out.appendChild(searchList); + + const searchProgress = document.getElementById("search-progress"); + // Some themes don't use the search progress node + if (searchProgress) { + searchProgress.innerText = _("Preparing search..."); + } + Search.startPulse(); + + // index already loaded, the browser was quick! + if (Search.hasIndex()) Search.query(query); + else Search.deferQuery(query); + }, + + /** + * execute search (requires search index to be loaded) + */ + query: (query) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + const allTitles = Search._index.alltitles; + const indexEntries = Search._index.indexentries; + + // stem the search terms and add them to the correct list + const stemmer = new Stemmer(); + const searchTerms = new Set(); + const excludedTerms = new Set(); + const highlightTerms = new Set(); + const objectTerms = new Set(splitQuery(query.toLowerCase().trim())); + splitQuery(query.trim()).forEach((queryTerm) => { + const queryTermLower = queryTerm.toLowerCase(); + + // maybe skip this "word" + // stopwords array is from language_data.js + if ( + stopwords.indexOf(queryTermLower) !== -1 || + queryTerm.match(/^\d+$/) + ) + return; + + // stem the word + let word = stemmer.stemWord(queryTermLower); + // select the correct list + if (word[0] === "-") excludedTerms.add(word.substr(1)); + else { + searchTerms.add(word); + highlightTerms.add(queryTermLower); + } + }); + + if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js + localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" ")) + } + + // console.debug("SEARCH: searching for:"); + // console.info("required: ", [...searchTerms]); + // console.info("excluded: ", [...excludedTerms]); + + // array of [docname, title, anchor, descr, score, filename] + let results = []; + _removeChildren(document.getElementById("search-progress")); + + const queryLower = query.toLowerCase(); + for (const [title, foundTitles] of Object.entries(allTitles)) { + if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) { + for (const [file, id] of foundTitles) { + let score = Math.round(100 * queryLower.length / title.length) + results.push([ + docNames[file], + titles[file] !== title ? `${titles[file]} > ${title}` : title, + id !== null ? "#" + id : "", + null, + score, + filenames[file], + ]); + } + } + } + + // search for explicit entries in index directives + for (const [entry, foundEntries] of Object.entries(indexEntries)) { + if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) { + for (const [file, id] of foundEntries) { + let score = Math.round(100 * queryLower.length / entry.length) + results.push([ + docNames[file], + titles[file], + id ? "#" + id : "", + null, + score, + filenames[file], + ]); + } + } + } + + // lookup as object + objectTerms.forEach((term) => + results.push(...Search.performObjectSearch(term, objectTerms)) + ); + + // lookup as search terms in fulltext + results.push(...Search.performTermsSearch(searchTerms, excludedTerms)); + + // let the scorer override scores with a custom scoring function + if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item))); + + // now sort the results by score (in opposite order of appearance, since the + // display function below uses pop() to retrieve items) and then + // alphabetically + results.sort((a, b) => { + const leftScore = a[4]; + const rightScore = b[4]; + if (leftScore === rightScore) { + // same score: sort alphabetically + const leftTitle = a[1].toLowerCase(); + const rightTitle = b[1].toLowerCase(); + if (leftTitle === rightTitle) return 0; + return leftTitle > rightTitle ? -1 : 1; // inverted is intentional + } + return leftScore > rightScore ? 1 : -1; + }); + + // remove duplicate search results + // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept + let seen = new Set(); + results = results.reverse().reduce((acc, result) => { + let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(','); + if (!seen.has(resultStr)) { + acc.push(result); + seen.add(resultStr); + } + return acc; + }, []); + + results = results.reverse(); + + // for debugging + //Search.lastresults = results.slice(); // a copy + // console.info("search results:", Search.lastresults); + + // print the results + _displayNextItem(results, results.length, searchTerms, highlightTerms); + }, + + /** + * search for object names + */ + performObjectSearch: (object, objectTerms) => { + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const objects = Search._index.objects; + const objNames = Search._index.objnames; + const titles = Search._index.titles; + + const results = []; + + const objectSearchCallback = (prefix, match) => { + const name = match[4] + const fullname = (prefix ? prefix + "." : "") + name; + const fullnameLower = fullname.toLowerCase(); + if (fullnameLower.indexOf(object) < 0) return; + + let score = 0; + const parts = fullnameLower.split("."); + + // check for different match types: exact matches of full name or + // "last name" (i.e. last dotted part) + if (fullnameLower === object || parts.slice(-1)[0] === object) + score += Scorer.objNameMatch; + else if (parts.slice(-1)[0].indexOf(object) > -1) + score += Scorer.objPartialMatch; // matches in last name + + const objName = objNames[match[1]][2]; + const title = titles[match[0]]; + + // If more than one term searched for, we require other words to be + // found in the name/title/description + const otherTerms = new Set(objectTerms); + otherTerms.delete(object); + if (otherTerms.size > 0) { + const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase(); + if ( + [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0) + ) + return; + } + + let anchor = match[3]; + if (anchor === "") anchor = fullname; + else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname; + + const descr = objName + _(", in ") + title; + + // add custom score for some objects according to scorer + if (Scorer.objPrio.hasOwnProperty(match[2])) + score += Scorer.objPrio[match[2]]; + else score += Scorer.objPrioDefault; + + results.push([ + docNames[match[0]], + fullname, + "#" + anchor, + descr, + score, + filenames[match[0]], + ]); + }; + Object.keys(objects).forEach((prefix) => + objects[prefix].forEach((array) => + objectSearchCallback(prefix, array) + ) + ); + return results; + }, + + /** + * search for full-text terms in the index + */ + performTermsSearch: (searchTerms, excludedTerms) => { + // prepare search + const terms = Search._index.terms; + const titleTerms = Search._index.titleterms; + const filenames = Search._index.filenames; + const docNames = Search._index.docnames; + const titles = Search._index.titles; + + const scoreMap = new Map(); + const fileMap = new Map(); + + // perform the search on the required terms + searchTerms.forEach((word) => { + const files = []; + const arr = [ + { files: terms[word], score: Scorer.term }, + { files: titleTerms[word], score: Scorer.title }, + ]; + // add support for partial matches + if (word.length > 2) { + const escapedWord = _escapeRegExp(word); + Object.keys(terms).forEach((term) => { + if (term.match(escapedWord) && !terms[word]) + arr.push({ files: terms[term], score: Scorer.partialTerm }); + }); + Object.keys(titleTerms).forEach((term) => { + if (term.match(escapedWord) && !titleTerms[word]) + arr.push({ files: titleTerms[word], score: Scorer.partialTitle }); + }); + } + + // no match but word was a required one + if (arr.every((record) => record.files === undefined)) return; + + // found search word in contents + arr.forEach((record) => { + if (record.files === undefined) return; + + let recordFiles = record.files; + if (recordFiles.length === undefined) recordFiles = [recordFiles]; + files.push(...recordFiles); + + // set score for the word in each file + recordFiles.forEach((file) => { + if (!scoreMap.has(file)) scoreMap.set(file, {}); + scoreMap.get(file)[word] = record.score; + }); + }); + + // create the mapping + files.forEach((file) => { + if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1) + fileMap.get(file).push(word); + else fileMap.set(file, [word]); + }); + }); + + // now check if the files don't contain excluded terms + const results = []; + for (const [file, wordList] of fileMap) { + // check if all requirements are matched + + // as search terms with length < 3 are discarded + const filteredTermCount = [...searchTerms].filter( + (term) => term.length > 2 + ).length; + if ( + wordList.length !== searchTerms.size && + wordList.length !== filteredTermCount + ) + continue; + + // ensure that none of the excluded terms is in the search result + if ( + [...excludedTerms].some( + (term) => + terms[term] === file || + titleTerms[term] === file || + (terms[term] || []).includes(file) || + (titleTerms[term] || []).includes(file) + ) + ) + break; + + // select one (max) score for the file. + const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w])); + // add result to the result list + results.push([ + docNames[file], + titles[file], + "", + null, + score, + filenames[file], + ]); + } + return results; + }, + + /** + * helper function to return a node containing the + * search summary for a given text. keywords is a list + * of stemmed words. + */ + makeSearchSummary: (htmlText, keywords) => { + const text = Search.htmlToText(htmlText); + if (text === "") return null; + + const textLower = text.toLowerCase(); + const actualStartPosition = [...keywords] + .map((k) => textLower.indexOf(k.toLowerCase())) + .filter((i) => i > -1) + .slice(-1)[0]; + const startWithContext = Math.max(actualStartPosition - 120, 0); + + const top = startWithContext === 0 ? "" : "..."; + const tail = startWithContext + 240 < text.length ? "..." : ""; + + let summary = document.createElement("p"); + summary.classList.add("context"); + summary.textContent = top + text.substr(startWithContext, 240).trim() + tail; + + return summary; + }, +}; + +_ready(Search.init); diff --git a/_static/sphinx_highlight.js b/_static/sphinx_highlight.js new file mode 100644 index 000000000..8a96c69a1 --- /dev/null +++ b/_static/sphinx_highlight.js @@ -0,0 +1,154 @@ +/* Highlighting utilities for Sphinx HTML documentation. */ +"use strict"; + +const SPHINX_HIGHLIGHT_ENABLED = true + +/** + * highlight a given string on a node by wrapping it in + * span elements with the given class name. + */ +const _highlight = (node, addItems, text, className) => { + if (node.nodeType === Node.TEXT_NODE) { + const val = node.nodeValue; + const parent = node.parentNode; + const pos = val.toLowerCase().indexOf(text); + if ( + pos >= 0 && + !parent.classList.contains(className) && + !parent.classList.contains("nohighlight") + ) { + let span; + + const closestNode = parent.closest("body, svg, foreignObject"); + const isInSVG = closestNode && closestNode.matches("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.classList.add(className); + } + + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + const rest = document.createTextNode(val.substr(pos + text.length)); + parent.insertBefore( + span, + parent.insertBefore( + rest, + node.nextSibling + ) + ); + node.nodeValue = val.substr(0, pos); + /* There may be more occurrences of search term in this node. So call this + * function recursively on the remaining fragment. + */ + _highlight(rest, addItems, text, className); + + if (isInSVG) { + const rect = document.createElementNS( + "http://www.w3.org/2000/svg", + "rect" + ); + const bbox = parent.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute("class", className); + addItems.push({ parent: parent, target: rect }); + } + } + } else if (node.matches && !node.matches("button, select, textarea")) { + node.childNodes.forEach((el) => _highlight(el, addItems, text, className)); + } +}; +const _highlightText = (thisNode, text, className) => { + let addItems = []; + _highlight(thisNode, addItems, text, className); + addItems.forEach((obj) => + obj.parent.insertAdjacentElement("beforebegin", obj.target) + ); +}; + +/** + * Small JavaScript module for the documentation. + */ +const SphinxHighlight = { + + /** + * highlight the search words provided in localstorage in the text + */ + highlightSearchWords: () => { + if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight + + // get and clear terms from localstorage + const url = new URL(window.location); + const highlight = + localStorage.getItem("sphinx_highlight_terms") + || url.searchParams.get("highlight") + || ""; + localStorage.removeItem("sphinx_highlight_terms") + url.searchParams.delete("highlight"); + window.history.replaceState({}, "", url); + + // get individual terms from highlight string + const terms = highlight.toLowerCase().split(/\s+/).filter(x => x); + if (terms.length === 0) return; // nothing to do + + // There should never be more than one element matching "div.body" + const divBody = document.querySelectorAll("div.body"); + const body = divBody.length ? divBody[0] : document.querySelector("body"); + window.setTimeout(() => { + terms.forEach((term) => _highlightText(body, term, "highlighted")); + }, 10); + + const searchBox = document.getElementById("searchbox"); + if (searchBox === null) return; + searchBox.appendChild( + document + .createRange() + .createContextualFragment( + '" + ) + ); + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords: () => { + document + .querySelectorAll("#searchbox .highlight-link") + .forEach((el) => el.remove()); + document + .querySelectorAll("span.highlighted") + .forEach((el) => el.classList.remove("highlighted")); + localStorage.removeItem("sphinx_highlight_terms") + }, + + initEscapeListener: () => { + // only install a listener if it is really needed + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return; + + document.addEventListener("keydown", (event) => { + // bail for input elements + if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; + // bail with special keys + if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return; + if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) { + SphinxHighlight.hideSearchWords(); + event.preventDefault(); + } + }); + }, +}; + +_ready(() => { + /* Do not call highlightSearchWords() when we are on the search page. + * It will highlight words from the *previous* search query. + */ + if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords(); + SphinxHighlight.initEscapeListener(); +}); diff --git a/api/modalities.checkpointing.html b/api/modalities.checkpointing.html new file mode 100644 index 000000000..fffc05112 --- /dev/null +++ b/api/modalities.checkpointing.html @@ -0,0 +1,214 @@ + + + + + + + modalities.checkpointing package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities.checkpointing package

+
+

Submodules

+
+
+

modalities.checkpointing.checkpointing module

+
+
+

modalities.checkpointing.checkpointing_execution module

+
+
+

modalities.checkpointing.checkpointing_factory module

+
+
+

modalities.checkpointing.checkpointing_instruction module

+
+
+class modalities.checkpointing.checkpointing_instruction.CheckpointingInstruction(save_current=False, checkpoints_to_delete=<factory>)[source]
+

Bases: object

+

Instruction to save and delete checkpoints.

+
+
Parameters:
+
    +
  • save_current (bool) –

  • +
  • checkpoints_to_delete (List[int]) –

  • +
+
+
+
+
+checkpoints_to_delete: List[int]
+
+ +
+
+save_current: bool = False
+
+ +
+ +
+
+

modalities.checkpointing.checkpointing_strategies module

+
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.config.html b/api/modalities.config.html new file mode 100644 index 000000000..48012e922 --- /dev/null +++ b/api/modalities.config.html @@ -0,0 +1,195 @@ + + + + + + + modalities.config package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities.config package

+
+

Submodules

+
+
+

modalities.config.config module

+
+
+

modalities.config.lookup_types module

+
+
+

modalities.config.types module

+
+
+class modalities.config.types.ProcessGroupBackendType(value)[source]
+

Bases: Enum

+

An enumeration.

+
+
+nccl = 'nccl'
+
+ +
+ +
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.dataloader.html b/api/modalities.dataloader.html new file mode 100644 index 000000000..17e1125f0 --- /dev/null +++ b/api/modalities.dataloader.html @@ -0,0 +1,209 @@ + + + + + + + modalities.dataloader package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities.dataloader package

+
+

Subpackages

+ +
+
+

Submodules

+
+
+

modalities.dataloader.create_index module

+
+
+

modalities.dataloader.create_packed_data module

+
+
+

modalities.dataloader.dataloader module

+
+
+

modalities.dataloader.dataloader_factory module

+
+
+

modalities.dataloader.dataset module

+
+
+

modalities.dataloader.large_file_lines_reader module

+
+
+

modalities.dataloader.samplers module

+
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.dataloader.open_gptx_dataset.html b/api/modalities.dataloader.open_gptx_dataset.html new file mode 100644 index 000000000..6c4660adb --- /dev/null +++ b/api/modalities.dataloader.open_gptx_dataset.html @@ -0,0 +1,181 @@ + + + + + + + modalities.dataloader.open_gptx_dataset package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities.dataloader.open_gptx_dataset package

+
+

Submodules

+
+
+

modalities.dataloader.open_gptx_dataset.mmap_dataset module

+
+
+

modalities.dataloader.open_gptx_dataset.open_gptx_dataset module

+
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.html b/api/modalities.html new file mode 100644 index 000000000..fc4df17da --- /dev/null +++ b/api/modalities.html @@ -0,0 +1,410 @@ + + + + + + + modalities package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities package

+
+

Subpackages

+
+ +
+
+
+

Submodules

+
+
+

modalities.activation_checkpointing module

+
+
+

modalities.batch module

+
+
+

modalities.evaluator module

+
+
+

modalities.exceptions module

+
+
+exception modalities.exceptions.BatchStateError[source]
+

Bases: Exception

+
+ +
+
+exception modalities.exceptions.CheckpointingError[source]
+

Bases: Exception

+
+ +
+
+exception modalities.exceptions.DatasetNotFoundError[source]
+

Bases: Exception

+
+ +
+
+exception modalities.exceptions.RunningEnvError[source]
+

Bases: Exception

+
+ +
+
+exception modalities.exceptions.TimeRecorderStateError[source]
+

Bases: Exception

+
+ +
+
+

modalities.gym module

+
+
+

modalities.loss_functions module

+
+
+

modalities.resolver_register module

+
+
+

modalities.test module

+
+
+

modalities.trainer module

+
+
+

modalities.util module

+
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.logging_broker.html b/api/modalities.logging_broker.html new file mode 100644 index 000000000..607fe92cc --- /dev/null +++ b/api/modalities.logging_broker.html @@ -0,0 +1,448 @@ + + + + + + + modalities.logging_broker package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities.logging_broker package

+
+

Subpackages

+ +
+
+

Submodules

+
+
+

modalities.logging_broker.message_broker module

+
+
+class modalities.logging_broker.message_broker.MessageBroker[source]
+

Bases: MessageBrokerIF

+

The MessageBroker sends notifications to its subscribers.

+
+
+
+
+add_subscriber(subscription, subscriber)[source]
+

Adds a single subscriber.

+
+
Parameters:
+
+
+
+
+ +
+
+distribute_message(message)[source]
+

Distributes message to all subscribers.

+
+
Parameters:
+

message (Message) –

+
+
+
+ +
+ +
+
+class modalities.logging_broker.message_broker.MessageBrokerIF[source]
+

Bases: ABC

+

Interface for message broker objects.

+
+
+abstract add_subscriber(subscription, subscriber)[source]
+
+
Parameters:
+
+
+
+
+ +
+
+abstract distribute_message(message)[source]
+
+
Parameters:
+

message (Message) –

+
+
+
+ +
+ +
+
+

modalities.logging_broker.messages module

+
+
+class modalities.logging_broker.messages.BatchProgressUpdate(global_train_sample_id, global_dataset_sample_id, experiment_status, dataloader_tag)[source]
+

Bases: object

+

Object holding the state of the current batch computation progress.

+
+
Parameters:
+
    +
  • global_train_sample_id (int) –

  • +
  • global_dataset_sample_id (int) –

  • +
  • experiment_status (ExperimentStatus) –

  • +
  • dataloader_tag (str) –

  • +
+
+
+
+
+dataloader_tag: str
+
+ +
+
+experiment_status: ExperimentStatus
+
+ +
+
+global_dataset_sample_id: int
+
+ +
+
+global_train_sample_id: int
+
+ +
+ +
+
+class modalities.logging_broker.messages.ExperimentStatus(value)[source]
+

Bases: Enum

+

An enumeration.

+
+
+EVALUATION = 'EVALUATION'
+
+ +
+
+TRAIN = 'TRAIN'
+
+ +
+ +
+
+class modalities.logging_broker.messages.Message(message_type, payload, global_rank=0, local_rank=0)[source]
+

Bases: Generic[T]

+

An object representing a message.

+
+
Parameters:
+
    +
  • message_type (MessageTypes) –

  • +
  • payload (T) –

  • +
  • global_rank (int) –

  • +
  • local_rank (int) –

  • +
+
+
+
+
+global_rank: int = 0
+
+ +
+
+local_rank: int = 0
+
+ +
+
+message_type: MessageTypes
+
+ +
+
+payload: TypeVar(T)
+
+ +
+ +
+
+class modalities.logging_broker.messages.MessageTypes(value)[source]
+

Bases: Enum

+

An enumeration.

+
+
+BATCH_PROGRESS_UPDATE = 'PROGRESS_UPDATE'
+
+ +
+
+ERROR_MESSAGE = 'ERROR_MESSAGE'
+
+ +
+
+EVALUATION_RESULT = 'EVALUATION_RESULT'
+
+ +
+
+HIGH_LEVEL_PROGRESS_UPDATE = 'HIGH_LEVEL_PROGRESS_UPDATE'
+
+ +
+ +
+
+

modalities.logging_broker.publisher module

+
+
+class modalities.logging_broker.publisher.MessagePublisher(message_broker, global_rank, local_rank)[source]
+

Bases: MessagePublisherIF[T]

+

The MessagePublisher sends messages through a message broker.

+
+
Parameters:
+
+
+
+
+
+publish_message(payload, message_type)[source]
+

Publish a message through the message broker.

+
+
Parameters:
+
+
+
+
+ +
+ +
+
+class modalities.logging_broker.publisher.MessagePublisherIF[source]
+

Bases: ABC, Generic[T]

+
+
+abstract publish_message(payload, message_type)[source]
+
+
Parameters:
+
+
+
+
+ +
+ +
+
+

modalities.logging_broker.subscriber module

+
+
+class modalities.logging_broker.subscriber.MessageSubscriberIF[source]
+

Bases: ABC, Generic[T]

+

Interface for message subscribers.

+
+
+abstract consume_message(message)[source]
+
+
Parameters:
+

message (Message[T]) –

+
+
+
+ +
+ +
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.logging_broker.subscriber_impl.html b/api/modalities.logging_broker.subscriber_impl.html new file mode 100644 index 000000000..4c908697b --- /dev/null +++ b/api/modalities.logging_broker.subscriber_impl.html @@ -0,0 +1,181 @@ + + + + + + + modalities.logging_broker.subscriber_impl package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities.logging_broker.subscriber_impl package

+
+

Submodules

+
+
+

modalities.logging_broker.subscriber_impl.batch_progress_subscriber module

+
+
+

modalities.logging_broker.subscriber_impl.results_subscriber module

+
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.models.gpt2.html b/api/modalities.models.gpt2.html new file mode 100644 index 000000000..0352c7b06 --- /dev/null +++ b/api/modalities.models.gpt2.html @@ -0,0 +1,187 @@ + + + + + + + modalities.models.gpt2 package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities.models.gpt2 package

+
+

Submodules

+
+
+

modalities.models.gpt2.collator module

+
+
+

modalities.models.gpt2.gpt2_model module

+
+
+

modalities.models.gpt2.preprocess_dataset module

+
+
+

modalities.models.gpt2.pretrained_gpt_model module

+
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.models.html b/api/modalities.models.html new file mode 100644 index 000000000..1320d13fa --- /dev/null +++ b/api/modalities.models.html @@ -0,0 +1,193 @@ + + + + + + + modalities.models package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+ + +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.running_env.fsdp.html b/api/modalities.running_env.fsdp.html new file mode 100644 index 000000000..5e80f3c6e --- /dev/null +++ b/api/modalities.running_env.fsdp.html @@ -0,0 +1,179 @@ + + + + + + + modalities.running_env.fsdp package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities.running_env.fsdp package

+
+

Submodules

+
+
+

modalities.running_env.fsdp.fsdp_running_env module

+
+
+

modalities.running_env.fsdp.reducer module

+
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modalities.running_env.html b/api/modalities.running_env.html new file mode 100644 index 000000000..80f2b067b --- /dev/null +++ b/api/modalities.running_env.html @@ -0,0 +1,194 @@ + + + + + + + modalities.running_env package — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities.running_env package

+
+

Subpackages

+ +
+
+

Submodules

+
+
+

modalities.running_env.env_utils module

+
+
+

modalities.running_env.running_env module

+
+
+

Module contents

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/api/modules.html b/api/modules.html new file mode 100644 index 000000000..8d84bbf55 --- /dev/null +++ b/api/modules.html @@ -0,0 +1,228 @@ + + + + + + + modalities — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

modalities

+
+ +
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/benchmarking.html b/benchmarking.html new file mode 100644 index 000000000..ff1f8ae75 --- /dev/null +++ b/benchmarking.html @@ -0,0 +1,141 @@ + + + + + + + Benchmarking — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Benchmarking

+

EDIT “docs/source/benchmarking.rst” IN ORDER TO MAKE CHANGES HERE

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/configuration.html b/configuration.html new file mode 100644 index 000000000..30abb2909 --- /dev/null +++ b/configuration.html @@ -0,0 +1,211 @@ + + + + + + + Configuration — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Configuration

+

Training config is defined in yaml formatted files. See data/config_lorem_ipsum.yaml. These configs are very explicit specifying all training parameters to keep model trainings as transparent and reproducible as possible. Each config setting is reflected in pydantic classes in src/modalities/config/*.py. In the config you need to define which config classes to load in field type_hint. This specifies the concrete class. A second parameter, config, then takes all the constructor arguments for that config class. This way it is easy to change i.e. DataLoaders while still having input validation in place.

+
+

Pydantic and ClassResolver

+

The mechanismn introduced to instantiate classes via type_hint in the config.yaml, utilizes

+
    +
  1. Omegaconf to load the config yaml file

  2. +
  3. Pydantic for the validation of the config

  4. +
  5. ClassResolver to instantiate the correct, concrete class of a class hierarchy.

  6. +
+

Firstly, Omegaconf loads the config yaml file and resolves internal refrences such as ${subconfig.attribue}.

+

Then, Pydantic validates the whole config as is and checks that each of the sub-configs are pydantic.BaseModel classes. +For configs, which allow different concrete classes to be instantiated by ClassResolver, the special member names type_hint and config are introduced. +With this we utilize Pydantics feature to auto-select a fitting type based on the keys in the config yaml file.

+

ClassResolver replaces large if-else control structures to infer the correct concrete type with a type_hint used for correct class selection:

+
activation_resolver = ClassResolver(
+  [nn.ReLU, nn.Tanh, nn.Hardtanh],
+  base=nn.Module,
+  default=nn.ReLU,
+)
+type_hint="ReLU"
+activation_kwargs={...}
+activation_resolver.make(type_hint, activation_kwargs),
+
+
+

In our implmentation we go a step further, as both,

+
    +
  • a type_hint in a BaseModel config must be of type modalities.config.lookup_types.LookupEnum and

  • +
  • config is a union of allowed concrete configs of base type BaseModel.

  • +
+

config hereby replaces activation_kwargs in the example above, and replaces it with pydantic-validated BaseModel configs.

+

With this, a mapping between type hint strings needed for class-resolver, and the concrete class is introduced, while allowing pydantic to select the correct concrete config:

+
from enum import Enum
+from pydantic import BaseModel, PositiveInt, PositiveFloat, conint, confloat
+
+class LookupEnum(Enum):
+    @classmethod
+    def _missing_(cls, value: str) -> type:
+        """constructs Enum by member name, if not constructable by value"""
+        return cls.__dict__[value]
+
+class SchedulerTypes(LookupEnum):
+    StepLR = torch.optim.lr_scheduler.StepLR
+    ConstantLR = torch.optim.lr_scheduler.ConstantLR
+
+class StepLRConfig(BaseModel):
+    step_size: conint(ge=1)
+    gamma: confloat(ge=0.0)
+
+
+class ConstantLRConfig(BaseModel):
+    factor: PositiveFloat
+    total_iters: PositiveInt
+
+
+class SchedulerConfig(BaseModel):
+    type_hint: SchedulerTypes
+    config: StepLRConfig | ConstantLRConfig
+
+
+

To allow a user-friendly instantiation, all class resolvers are defined in the ResolverRegistry and build_component_by_config as convenience function is introduced. Dependecies can be passed-through with the extra_kwargs argument:

+
resolvers = ResolverRegister(config=config)
+optimizer = ...  # our example dependency
+scheduler = resolvers.build_component_by_config(config=config.scheduler, extra_kwargs=dict(optimizer=optimizer))
+
+
+

To add a new resolver use add_resolver, and the corresponding added resolver will be accessible by the register_key given during adding.

+

For access use the build_component_by_key_query function of the ResolverRegistry.

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/entrypoints.html b/entrypoints.html new file mode 100644 index 000000000..12a6430ac --- /dev/null +++ b/entrypoints.html @@ -0,0 +1,188 @@ + + + + + + + Entrypoints — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Entrypoints

+

We use click as a tool to add new entry points and their CLI arguments. +For this we have a main entry point from which all other entry points are started.

+

The main entry point is src/modalities/__main__.py:main(). +We register other sub-entrypoints by using our main click.group, called main, as follows:

+
@main.command(name="my_new_entry_point")
+
+
+

See the following full example:

+
import click
+import click_pathlib
+
+
+@click.group()
+def main() -> None:
+    pass
+
+
+config_option = click.option(
+    "--config_file_path",
+    type=click_pathlib.Path(exists=False),
+    required=True,
+    help="Path to a file with the YAML config file.",
+)
+
+
+@main.command(name="do_stuff")
+@config_option
+@click.option(
+    "--my_cli_argument",
+    type=int,
+    required=True,
+    help="New integer argument",
+)
+def entry_point_do_stuff(config_file_path: Path, my_cli_argument: int):
+    print(f"Do stuff with {config_file_path} and {my_cli_argument}...)
+    ...
+
+if __name__ == "__main__":
+    main()
+
+
+

With

+
[project.scripts]
+modalities = "modalities.__main__:main"
+
+
+

in our pyproject.toml, we can start only main with modalities (which does nothing), or a specific sub-entrypoint e.g. modalities do_stuff --config_file_path config_files/config.yaml --my_cli_argument 3537.

+

Alternatively, directly use src/modalities/__main__.py do_stuff --config_file_path config_files/config.yaml --my_cli_argument 3537.

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/future_work.html b/future_work.html new file mode 100644 index 000000000..13fb2966f --- /dev/null +++ b/future_work.html @@ -0,0 +1,147 @@ + + + + + + + Future Work — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Future Work

+

The team is currently working on our already established LLM code base to bring in multi-modality into the mix. This extension will be based on ideas similar to CoCa and/or AudioPaLM, which would enable users to either use different encoders for different modalities in conjunction with a text-based decoder, or use a decoder-only architecture. +Future modalities other than text can be used, namely,

+
    +
  • image

  • +
  • audio

  • +
  • video

  • +
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/genindex.html b/genindex.html new file mode 100644 index 000000000..ad13eccc2 --- /dev/null +++ b/genindex.html @@ -0,0 +1,503 @@ + + + + + + Index — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+
    +
  • + +
  • +
  • +
+
+
+
+
+ + +

Index

+ +
+ A + | B + | C + | D + | E + | G + | H + | L + | M + | N + | P + | R + | S + | T + +
+

A

+ + +
+ +

B

+ + + +
+ +

C

+ + + +
+ +

D

+ + + +
+ +

E

+ + + +
+ +

G

+ + + +
+ +

H

+ + +
+ +

L

+ + +
+ +

M

+ + + +
+ +

N

+ + +
+ +

P

+ + + +
+ +

R

+ + +
+ +

S

+ + +
+ +

T

+ + + +
+ + + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 000000000..64c32ed91 --- /dev/null +++ b/index.html @@ -0,0 +1,396 @@ + + + + + + + Welcome to Modalities’ documentation! — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Welcome to Modalities’ documentation!

+

We propose a novel training framework for Multimodal Large Language Models (LLMs) that prioritizes code readability and efficiency. +The codebase adheres to the principles of “clean code,” minimizing Lines of Code (LoC) while maintaining extensibility. +A single, comprehensive configuration file enables easy customization of various model and training parameters.

+

A key innovation is the adoption of a PyTorch-native training loop integrated with the Fully Sharded Data Parallelism (FSDP) technique. +FSDP optimizes memory usage and training speed, enhancing scalability for large-scale multimodal models. +By leveraging PyTorch’s native capabilities, our framework simplifies the development process and promotes ease of maintenance.

+

The framework’s modular design facilitates experimentation with different multimodal architectures and training strategies. +Users can seamlessly integrate diverse datasets and model components, allowing for comprehensive exploration of multimodal learning tasks. +The combination of clean code, minimal configuration, and PyTorch-native training with FSDP contributes to a user-friendly and efficient platform for developing state-of-the-art multimodal language models.

+
+

Note

+

This project is under active development.

+
+ + +
+

Entrypoints

+ +
+
+

VSCode Setup

+ +
+
+

Future Work

+ +
+
+

API

+ +
+
+ + +
+
+ +
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+ + + + \ No newline at end of file diff --git a/known_issues.html b/known_issues.html new file mode 100644 index 000000000..7b403ff92 --- /dev/null +++ b/known_issues.html @@ -0,0 +1,145 @@ + + + + + + + Known Issues — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
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+ +
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+ +
+

Known Issues

+

GitHub Issues

+
    +
  1. hardcoded dataset path /raid/s3/opengptx/mehdi/temp/temp_data/train_text_document.bin in config/config.yaml

  2. +
  3. Dependency on weights&biases

  4. +
+
+ + +
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+ +
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+ + + + \ No newline at end of file diff --git a/memmap.html b/memmap.html new file mode 100644 index 000000000..f96ad3472 --- /dev/null +++ b/memmap.html @@ -0,0 +1,173 @@ + + + + + + + MemMap Datasets — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
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+ +
+
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+
+ +
+

MemMap Datasets

+
+

MemMapDataset Index Generator

+

The MemMapDataset requires an index file providing the necessary pointers into the raw data file. The MemMapDataset can create the index file lazily, however, it is advised to create it beforehand. This can be done by running

+
modalities create_memmap_index <path/to/jsonl/file>
+
+
+

The index will be created in the same directory as the raw data file. For further options you may look into the usage documentation via modalities create_memmap_index --help.

+
+
+

Packed Dataset Generator

+

The PackedMemMapDatasetContinuous and PackedMemMapDatasetMegatron require a packed data file. To create the data file, you first have to generate a MemMapDataset index file as described above. Assuming the index and raw data are located in the same directory, you can simply execute the following command:

+
modalities create_packed_data <path/to/jsonl/file>
+
+
+

The packed data file will be created in the same directory as the raw data file. For further options you may look into the usage documentation via modalities create_packed_data --help.

+
+

Packed Data Format

+

The packed data file is a bytestream containing both the tokenized data as well as an index denoting the start and length of the tokenized documents inside the bytestream. The data file consists of 3 concatenated parts:

+

header segment | data segment | index segment

+
    +
  • header segment: This section is a 8 bytes sized integer which encodes the length of the data segment in bytes.

  • +
  • data segment: This section contains a concatenation of all documents in form of 4 bytes sized tokens. An end-of-sequence token is placed between consecutive documents.

  • +
  • index segment: This section contains a pickled index which locates the documents inside the data segment. The index is basically a list of tuples, where each tuple contains the start position and length in bytes for the corresponding document, e.g., [(start_doc1, len_doc1), (start_doc2, len_doc2), ....].

  • +
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+ + + + \ No newline at end of file diff --git a/model_cards.html b/model_cards.html new file mode 100644 index 000000000..59195b01b --- /dev/null +++ b/model_cards.html @@ -0,0 +1,141 @@ + + + + + + + Model Cards — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
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+ +
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+ +
+

Model Cards

+

<TODO>

+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/objects.inv b/objects.inv new file mode 100644 index 000000000..c3ca16dd6 --- /dev/null +++ b/objects.inv @@ -0,0 +1,10 @@ +# Sphinx inventory version 2 +# Project: Modalities +# Version: 0.1.0 +# The remainder of this file is compressed using zlib. +xYv8نvgc;RG +$FiIFB dٙ}!8 IX|(>&$`W+r-ETF4taT[#V`DCr3.H:&R $&%!)y{,Kgq9WSnL#B2?7㒰AN "D([ND"X G>w+Ȣ]^ F毗Y|t_];Q~<Aea/[Zz'Zz눜֓[X,|X|Ο.K8W8Kjwxog7n8i#<^:fZ3oǧaQ[<9dw GVFd 黊0RW$UZqSW Bf }vYa-'m!un5| W`ETxɩ| + Tf8A՚F6# #A4C͌g֯dռ8FhmΔ5{0W(P + i^%!F{\FU.BtfSMruhP;RSϪJ6byB6A|w>$-g$!([yI&O}γ&kz4xO8?9\]%Oц:`53;Vwc EOB3ooG +#!jmA[[,x ITc1s̕'Axy/CxPE66蜚2LѯCS{!mWZ7NH+|kOdl&te b;UVqDYTx \ No newline at end of file diff --git a/py-modindex.html b/py-modindex.html new file mode 100644 index 000000000..00ab50b37 --- /dev/null +++ b/py-modindex.html @@ -0,0 +1,236 @@ + + + + + + Python Module Index — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + + +
+ + +
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+ + +

Python Module Index

+ +
+ m +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
 
+ m
+ modalities +
    + modalities.checkpointing +
    + modalities.checkpointing.checkpointing_instruction +
    + modalities.config +
    + modalities.config.types +
    + modalities.dataloader +
    + modalities.dataloader.open_gptx_dataset +
    + modalities.exceptions +
    + modalities.logging_broker +
    + modalities.logging_broker.message_broker +
    + modalities.logging_broker.messages +
    + modalities.logging_broker.publisher +
    + modalities.logging_broker.subscriber +
    + modalities.logging_broker.subscriber_impl +
    + modalities.models +
    + modalities.models.gpt2 +
    + modalities.running_env +
    + modalities.running_env.fsdp +
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/quickstart.html b/quickstart.html new file mode 100644 index 000000000..b1f0b87d2 --- /dev/null +++ b/quickstart.html @@ -0,0 +1,179 @@ + + + + + + + Quickstart — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
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+ +
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+ +
+

Quickstart

+
+

Installation

+

Setup a conda environment conda create -n modalities python=3.10 & conda activate modalities and install the requirements pip install -e ..

+
+
+

Setup Dataset

+

To start a training you need to create memmap dataset out of a jsonl file first, then pack it, then run the training.

+
# Create memmap dataset from jsonl file.
+modalities create_memmap_index <path/to/jsonl/file>
+
+# Create packed dataset.
+modalities create_packed_data <path/to/jsonl/file>
+
+
+

For example, using the lorem ipsum example:

+
# Create memmap dataset from jsonl file.
+modalities create_memmap_index data/lorem_ipsum.jsonl
+
+# Create packed dataset.
+modalities create_packed_data data/lorem_ipsum.jsonl
+
+
+
+
+

Training

+

To run a training environment variables in a multi-gpu setting are required.

+
CUDA_VISIBLE_DEVICES=0,1 torchrun --nnodes 1 --nproc_per_node 2 --rdzv-endpoint=0.0.0.0:29502 src/modalities/__main__.py run --config_file_path config_files/config_lorem_ipsum.yaml
+
+
+
    +
  1. Evaluation: +WIP add contents

  2. +
+
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+ + +
+
+ +
+
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+
+ + + + \ No newline at end of file diff --git a/search.html b/search.html new file mode 100644 index 000000000..39eccecd8 --- /dev/null +++ b/search.html @@ -0,0 +1,151 @@ + + + + + + Search — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
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+
    +
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+ + + + +
+ +
+ +
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+ + + + + + + + + \ No newline at end of file diff --git a/searchindex.js b/searchindex.js new file mode 100644 index 000000000..348dc8394 --- /dev/null +++ b/searchindex.js @@ -0,0 +1 @@ +Search.setIndex({"docnames": ["api/modalities", "api/modalities.checkpointing", "api/modalities.config", "api/modalities.dataloader", "api/modalities.dataloader.open_gptx_dataset", "api/modalities.logging_broker", "api/modalities.logging_broker.subscriber_impl", "api/modalities.models", "api/modalities.models.gpt2", "api/modalities.running_env", "api/modalities.running_env.fsdp", "api/modules", "benchmarking", "configuration", "entrypoints", "future_work", "index", "known_issues", "memmap", "model_cards", "quickstart", "vs_code_setup"], "filenames": ["api/modalities.rst", "api/modalities.checkpointing.rst", "api/modalities.config.rst", "api/modalities.dataloader.rst", "api/modalities.dataloader.open_gptx_dataset.rst", "api/modalities.logging_broker.rst", 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"gpt2"]], "modalities.running_env": [[10, 0, 0, "-", "fsdp"]]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:attribute", "3": "py:exception", "4": "py:method"}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "attribute", "Python attribute"], "3": ["py", "exception", "Python exception"], "4": ["py", "method", "Python method"]}, "titleterms": {"modal": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 16], "packag": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "subpackag": [0, 3, 5, 7, 9], "submodul": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "activation_checkpoint": 0, "modul": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "batch": 0, "evalu": 0, "except": 0, "gym": 0, "loss_funct": 0, "resolver_regist": 0, "test": 0, "trainer": 0, "util": 0, "content": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "checkpoint": 1, "checkpointing_execut": 1, "checkpointing_factori": 1, "checkpointing_instruct": 1, "checkpointing_strategi": 1, "config": 2, "lookup_typ": 2, "type": 2, "dataload": [3, 4], "create_index": 3, "create_packed_data": 3, "dataloader_factori": 3, "dataset": [3, 16, 18, 20], "large_file_lines_read": 3, "sampler": 3, "open_gptx_dataset": 4, "mmap_dataset": 4, "logging_brok": [5, 6], "message_brok": 5, "messag": 5, "publish": 5, "subscrib": 5, "subscriber_impl": 6, "batch_progress_subscrib": 6, "results_subscrib": 6, "model": [7, 8, 19], "gpt2": 8, "collat": 8, "gpt2_model": 8, "preprocess_dataset": 8, "pretrained_gpt_model": 8, "running_env": [9, 10], "env_util": 9, "fsdp": 10, "fsdp_running_env": 10, "reduc": 10, "benchmark": 12, "configur": 13, "pydant": 13, "classresolv": 13, "entrypoint": [14, 16], "futur": [15, 16], "work": [15, 16], "welcom": 16, "document": 16, "get": 16, "start": 16, "vscode": [16, 21], "setup": [16, 20, 21], "api": 16, "known": 17, "issu": 17, "memmap": 18, "memmapdataset": 18, "index": 18, "gener": 18, "pack": 18, "data": 18, "format": 18, "card": 19, "quickstart": 20, "instal": 20, "train": 20}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1, "sphinx": 60}, "alltitles": {"modalities package": [[0, "modalities-package"]], "Subpackages": [[0, "subpackages"], [3, "subpackages"], [5, "subpackages"], [7, "subpackages"], [9, "subpackages"]], "Submodules": [[0, "submodules"], [1, "submodules"], [2, "submodules"], [3, "submodules"], [4, "submodules"], [5, "submodules"], [6, "submodules"], [7, "submodules"], [8, "submodules"], [9, "submodules"], [10, "submodules"]], "modalities.activation_checkpointing module": [[0, "modalities-activation-checkpointing-module"]], "modalities.batch module": [[0, "modalities-batch-module"]], "modalities.evaluator module": [[0, "modalities-evaluator-module"]], "modalities.exceptions module": [[0, "module-modalities.exceptions"]], "modalities.gym module": [[0, "modalities-gym-module"]], "modalities.loss_functions module": [[0, "modalities-loss-functions-module"]], "modalities.resolver_register module": [[0, "modalities-resolver-register-module"]], "modalities.test module": [[0, "modalities-test-module"]], "modalities.trainer module": [[0, "modalities-trainer-module"]], "modalities.util module": [[0, "modalities-util-module"]], "Module contents": [[0, "module-modalities"], [1, "module-modalities.checkpointing"], [2, "module-modalities.config"], [3, "module-modalities.dataloader"], [4, "module-modalities.dataloader.open_gptx_dataset"], [5, "module-modalities.logging_broker"], [6, "module-modalities.logging_broker.subscriber_impl"], [7, "module-modalities.models"], [8, "module-modalities.models.gpt2"], [9, "module-modalities.running_env"], [10, "module-modalities.running_env.fsdp"]], "modalities.checkpointing package": [[1, "modalities-checkpointing-package"]], "modalities.checkpointing.checkpointing module": [[1, "modalities-checkpointing-checkpointing-module"]], "modalities.checkpointing.checkpointing_execution module": [[1, "modalities-checkpointing-checkpointing-execution-module"]], "modalities.checkpointing.checkpointing_factory module": [[1, "modalities-checkpointing-checkpointing-factory-module"]], "modalities.checkpointing.checkpointing_instruction module": [[1, "module-modalities.checkpointing.checkpointing_instruction"]], "modalities.checkpointing.checkpointing_strategies module": [[1, "modalities-checkpointing-checkpointing-strategies-module"]], "modalities.config package": [[2, "modalities-config-package"]], "modalities.config.config module": [[2, "modalities-config-config-module"]], "modalities.config.lookup_types module": [[2, "modalities-config-lookup-types-module"]], "modalities.config.types module": [[2, "module-modalities.config.types"]], "modalities.dataloader package": [[3, "modalities-dataloader-package"]], "modalities.dataloader.create_index module": [[3, "modalities-dataloader-create-index-module"]], "modalities.dataloader.create_packed_data module": [[3, "modalities-dataloader-create-packed-data-module"]], "modalities.dataloader.dataloader module": [[3, "modalities-dataloader-dataloader-module"]], "modalities.dataloader.dataloader_factory module": [[3, "modalities-dataloader-dataloader-factory-module"]], "modalities.dataloader.dataset module": [[3, "modalities-dataloader-dataset-module"]], "modalities.dataloader.large_file_lines_reader module": [[3, "modalities-dataloader-large-file-lines-reader-module"]], "modalities.dataloader.samplers module": [[3, "modalities-dataloader-samplers-module"]], "modalities.dataloader.open_gptx_dataset package": [[4, "modalities-dataloader-open-gptx-dataset-package"]], "modalities.dataloader.open_gptx_dataset.mmap_dataset module": [[4, "modalities-dataloader-open-gptx-dataset-mmap-dataset-module"]], "modalities.dataloader.open_gptx_dataset.open_gptx_dataset module": [[4, "modalities-dataloader-open-gptx-dataset-open-gptx-dataset-module"]], "modalities.logging_broker package": [[5, "modalities-logging-broker-package"]], "modalities.logging_broker.message_broker module": [[5, "module-modalities.logging_broker.message_broker"]], "modalities.logging_broker.messages module": [[5, "module-modalities.logging_broker.messages"]], "modalities.logging_broker.publisher module": [[5, "module-modalities.logging_broker.publisher"]], "modalities.logging_broker.subscriber module": [[5, "module-modalities.logging_broker.subscriber"]], "modalities.logging_broker.subscriber_impl package": [[6, "modalities-logging-broker-subscriber-impl-package"]], "modalities.logging_broker.subscriber_impl.batch_progress_subscriber module": [[6, "modalities-logging-broker-subscriber-impl-batch-progress-subscriber-module"]], "modalities.logging_broker.subscriber_impl.results_subscriber module": [[6, "modalities-logging-broker-subscriber-impl-results-subscriber-module"]], "modalities.models package": [[7, "modalities-models-package"]], "modalities.models.model module": [[7, "modalities-models-model-module"]], "modalities.models.gpt2 package": [[8, "modalities-models-gpt2-package"]], "modalities.models.gpt2.collator module": [[8, "modalities-models-gpt2-collator-module"]], "modalities.models.gpt2.gpt2_model module": [[8, "modalities-models-gpt2-gpt2-model-module"]], "modalities.models.gpt2.preprocess_dataset module": [[8, "modalities-models-gpt2-preprocess-dataset-module"]], "modalities.models.gpt2.pretrained_gpt_model module": [[8, "modalities-models-gpt2-pretrained-gpt-model-module"]], "modalities.running_env package": [[9, "modalities-running-env-package"]], "modalities.running_env.env_utils module": [[9, "modalities-running-env-env-utils-module"]], "modalities.running_env.running_env module": [[9, "modalities-running-env-running-env-module"]], "modalities.running_env.fsdp package": [[10, "modalities-running-env-fsdp-package"]], "modalities.running_env.fsdp.fsdp_running_env module": [[10, "modalities-running-env-fsdp-fsdp-running-env-module"]], "modalities.running_env.fsdp.reducer module": [[10, "modalities-running-env-fsdp-reducer-module"]], "modalities": [[11, "modalities"]], "Benchmarking": [[12, "benchmarking"]], "Configuration": [[13, "configuration"]], "Pydantic and ClassResolver": [[13, "pydantic-and-classresolver"]], "Entrypoints": [[14, "entrypoints"], [16, null]], "Future Work": [[15, "future-work"], [16, null]], "Welcome to Modalities\u2019 documentation!": [[16, "welcome-to-modalities-documentation"]], "Getting Started": [[16, null]], "Datasets": [[16, null]], "VSCode Setup": [[16, null], [21, "vscode-setup"]], "API": [[16, null]], "Known Issues": [[17, "known-issues"]], "MemMap Datasets": [[18, "memmap-datasets"]], "MemMapDataset Index Generator": [[18, "memmapdataset-index-generator"]], "Packed Dataset Generator": [[18, "packed-dataset-generator"]], "Packed Data Format": [[18, "packed-data-format"]], "Model Cards": [[19, "model-cards"]], "Quickstart": [[20, "quickstart"]], "Installation": [[20, "installation"]], "Setup Dataset": [[20, "setup-dataset"]], "Training": [[20, "training"]]}, "indexentries": {"batchstateerror": [[0, "modalities.exceptions.BatchStateError"]], "checkpointingerror": [[0, "modalities.exceptions.CheckpointingError"]], "datasetnotfounderror": [[0, "modalities.exceptions.DatasetNotFoundError"]], "runningenverror": [[0, "modalities.exceptions.RunningEnvError"]], "timerecorderstateerror": [[0, "modalities.exceptions.TimeRecorderStateError"]], "modalities": [[0, "module-modalities"]], "modalities.exceptions": [[0, "module-modalities.exceptions"]], "module": [[0, "module-modalities"], [0, "module-modalities.exceptions"], [1, "module-modalities.checkpointing"], [1, "module-modalities.checkpointing.checkpointing_instruction"], [2, "module-modalities.config"], [2, "module-modalities.config.types"], [3, "module-modalities.dataloader"], [4, "module-modalities.dataloader.open_gptx_dataset"], [5, "module-modalities.logging_broker"], [5, "module-modalities.logging_broker.message_broker"], [5, "module-modalities.logging_broker.messages"], [5, "module-modalities.logging_broker.publisher"], [5, "module-modalities.logging_broker.subscriber"], [6, "module-modalities.logging_broker.subscriber_impl"], [7, "module-modalities.models"], [8, "module-modalities.models.gpt2"], [9, "module-modalities.running_env"], [10, "module-modalities.running_env.fsdp"]], "checkpointinginstruction (class in modalities.checkpointing.checkpointing_instruction)": [[1, "modalities.checkpointing.checkpointing_instruction.CheckpointingInstruction"]], "checkpoints_to_delete (modalities.checkpointing.checkpointing_instruction.checkpointinginstruction attribute)": [[1, "modalities.checkpointing.checkpointing_instruction.CheckpointingInstruction.checkpoints_to_delete"]], "modalities.checkpointing": [[1, "module-modalities.checkpointing"]], "modalities.checkpointing.checkpointing_instruction": [[1, "module-modalities.checkpointing.checkpointing_instruction"]], "save_current (modalities.checkpointing.checkpointing_instruction.checkpointinginstruction attribute)": [[1, "modalities.checkpointing.checkpointing_instruction.CheckpointingInstruction.save_current"]], "processgroupbackendtype (class in modalities.config.types)": [[2, "modalities.config.types.ProcessGroupBackendType"]], "modalities.config": [[2, "module-modalities.config"]], "modalities.config.types": [[2, "module-modalities.config.types"]], "nccl (modalities.config.types.processgroupbackendtype attribute)": [[2, "modalities.config.types.ProcessGroupBackendType.nccl"]], "modalities.dataloader": [[3, "module-modalities.dataloader"]], "modalities.dataloader.open_gptx_dataset": [[4, "module-modalities.dataloader.open_gptx_dataset"]], "batch_progress_update (modalities.logging_broker.messages.messagetypes attribute)": [[5, "modalities.logging_broker.messages.MessageTypes.BATCH_PROGRESS_UPDATE"]], "batchprogressupdate (class in modalities.logging_broker.messages)": [[5, "modalities.logging_broker.messages.BatchProgressUpdate"]], "error_message (modalities.logging_broker.messages.messagetypes attribute)": [[5, "modalities.logging_broker.messages.MessageTypes.ERROR_MESSAGE"]], "evaluation (modalities.logging_broker.messages.experimentstatus attribute)": [[5, "modalities.logging_broker.messages.ExperimentStatus.EVALUATION"]], "evaluation_result (modalities.logging_broker.messages.messagetypes attribute)": [[5, "modalities.logging_broker.messages.MessageTypes.EVALUATION_RESULT"]], "experimentstatus (class in modalities.logging_broker.messages)": [[5, "modalities.logging_broker.messages.ExperimentStatus"]], "high_level_progress_update (modalities.logging_broker.messages.messagetypes attribute)": [[5, "modalities.logging_broker.messages.MessageTypes.HIGH_LEVEL_PROGRESS_UPDATE"]], "message (class in modalities.logging_broker.messages)": [[5, "modalities.logging_broker.messages.Message"]], "messagebroker (class in modalities.logging_broker.message_broker)": [[5, "modalities.logging_broker.message_broker.MessageBroker"]], "messagebrokerif (class in modalities.logging_broker.message_broker)": [[5, "modalities.logging_broker.message_broker.MessageBrokerIF"]], "messagepublisher (class in modalities.logging_broker.publisher)": [[5, "modalities.logging_broker.publisher.MessagePublisher"]], "messagepublisherif (class in modalities.logging_broker.publisher)": [[5, "modalities.logging_broker.publisher.MessagePublisherIF"]], "messagesubscriberif (class in modalities.logging_broker.subscriber)": [[5, "modalities.logging_broker.subscriber.MessageSubscriberIF"]], "messagetypes (class in modalities.logging_broker.messages)": [[5, "modalities.logging_broker.messages.MessageTypes"]], "train (modalities.logging_broker.messages.experimentstatus attribute)": [[5, "modalities.logging_broker.messages.ExperimentStatus.TRAIN"]], "add_subscriber() (modalities.logging_broker.message_broker.messagebroker method)": [[5, "modalities.logging_broker.message_broker.MessageBroker.add_subscriber"]], "add_subscriber() (modalities.logging_broker.message_broker.messagebrokerif method)": [[5, "modalities.logging_broker.message_broker.MessageBrokerIF.add_subscriber"]], "consume_message() (modalities.logging_broker.subscriber.messagesubscriberif method)": [[5, "modalities.logging_broker.subscriber.MessageSubscriberIF.consume_message"]], "dataloader_tag (modalities.logging_broker.messages.batchprogressupdate attribute)": [[5, "modalities.logging_broker.messages.BatchProgressUpdate.dataloader_tag"]], "distribute_message() (modalities.logging_broker.message_broker.messagebroker method)": [[5, "modalities.logging_broker.message_broker.MessageBroker.distribute_message"]], "distribute_message() (modalities.logging_broker.message_broker.messagebrokerif method)": [[5, "modalities.logging_broker.message_broker.MessageBrokerIF.distribute_message"]], "experiment_status (modalities.logging_broker.messages.batchprogressupdate attribute)": [[5, "modalities.logging_broker.messages.BatchProgressUpdate.experiment_status"]], "global_dataset_sample_id (modalities.logging_broker.messages.batchprogressupdate attribute)": [[5, "modalities.logging_broker.messages.BatchProgressUpdate.global_dataset_sample_id"]], "global_rank (modalities.logging_broker.messages.message attribute)": [[5, "modalities.logging_broker.messages.Message.global_rank"]], "global_train_sample_id (modalities.logging_broker.messages.batchprogressupdate attribute)": [[5, "modalities.logging_broker.messages.BatchProgressUpdate.global_train_sample_id"]], "local_rank (modalities.logging_broker.messages.message attribute)": [[5, "modalities.logging_broker.messages.Message.local_rank"]], "message_type (modalities.logging_broker.messages.message attribute)": [[5, "modalities.logging_broker.messages.Message.message_type"]], "modalities.logging_broker": [[5, "module-modalities.logging_broker"]], "modalities.logging_broker.message_broker": [[5, "module-modalities.logging_broker.message_broker"]], "modalities.logging_broker.messages": [[5, "module-modalities.logging_broker.messages"]], "modalities.logging_broker.publisher": [[5, "module-modalities.logging_broker.publisher"]], "modalities.logging_broker.subscriber": [[5, "module-modalities.logging_broker.subscriber"]], "payload (modalities.logging_broker.messages.message attribute)": [[5, "modalities.logging_broker.messages.Message.payload"]], "publish_message() (modalities.logging_broker.publisher.messagepublisher method)": [[5, "modalities.logging_broker.publisher.MessagePublisher.publish_message"]], "publish_message() (modalities.logging_broker.publisher.messagepublisherif method)": [[5, "modalities.logging_broker.publisher.MessagePublisherIF.publish_message"]], "modalities.logging_broker.subscriber_impl": [[6, "module-modalities.logging_broker.subscriber_impl"]], "modalities.models": [[7, "module-modalities.models"]], "modalities.models.gpt2": [[8, "module-modalities.models.gpt2"]], "modalities.running_env": [[9, "module-modalities.running_env"]], "modalities.running_env.fsdp": [[10, "module-modalities.running_env.fsdp"]]}}) \ No newline at end of file diff --git a/vs_code_setup.html b/vs_code_setup.html new file mode 100644 index 000000000..450bbdde4 --- /dev/null +++ b/vs_code_setup.html @@ -0,0 +1,200 @@ + + + + + + + VSCode Setup — Modalities 0.1 documentation + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

VSCode Setup

+

We recommend a docker environment based on the most recent pytorch e.g.:

+
FROM pytorch/pytorch:2.1.2-cuda12.1-cudnn8-devel
+RUN apt-get update && apt-get install -y wget openssh-client git-core bash-completion
+RUN wget -O /tmp/git-lfs.deb https://packagecloud.io/github/git-lfs/packages/ubuntu/focal/git-lfs_2.13.3_amd64.deb/download.deb && \
+    dpkg -i /tmp/git-lfs.deb && \
+    rm /tmp/git-lfs.deb
+RUN echo  'source /usr/share/bash-completion/completions/git' >> ~/.bashrc
+CMD ["/bin/bash"]
+
+
+

This works seamlessly in combination with the VSCode DevContainer extention:

+
{
+    "name": "Dev Container",
+    "dockerFile": "Dockerfile",
+    "runArgs": [
+        "--network",
+        "host",
+        "--gpus",
+        "all"
+    ],
+    "customizations": {
+        "vscode": {
+            "settings": {
+                "terminal.integrated.shell.linux": "/bin/bash"
+            },
+            "extensions": [
+                "ms-python.python"
+            ]
+        }
+    }
+}
+
+
+

In VSCode, add this to your launch.json:

+
{
+    "name": "Torchrun Train and Eval",
+    "type": "python",
+    "request": "launch",
+    "module": "torch.distributed.run",
+    "env": {
+        "CUDA_VISIBLE_DEVICES": "4,5"
+    },
+    "args": [
+        "--nnodes",
+        "1",
+        "--nproc_per_node",
+        "2",
+        "--rdzv-endpoint=0.0.0.0:29503",
+        "src/modalities/__main__.py",
+        "run",
+        "--config_file_path",
+        "config_files/config_lorem_ipsum.yaml",
+    ],
+    "console": "integratedTerminal",
+    "justMyCode": true,
+    "envFile": "${workspaceFolder}/.env",
+    "cwd": "${workspaceFolder}/modalities"
+}
+
+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file