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Create Protobuf schemas from necessary PySyft classes #35

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cereallarceny opened this issue Feb 3, 2020 · 1 comment
Open
17 of 39 tasks

Create Protobuf schemas from necessary PySyft classes #35

cereallarceny opened this issue Feb 3, 2020 · 1 comment
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@tudorcebere
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Status: In Progress 🌟 This is actively being worked on Type: Epic 🤙 Describes a large amount of functionality that will likely be broken down into smaller issues
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Model-centric Federated Learning

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@cereallarceny
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cereallarceny commented Feb 3, 2020 •
edited by tudorcebere

The following are classes that exist in PySyft that we have no yet migrated to syft-proto, or classes that are in the middle of a refactor and will need to be modified upon completion:

(items in bold are expected to be needed for mobile)

PyTorch

  • memory_format

Numpy

  • ndarray
  • float32
  • float64
  • int32
  • int64
  • ...any other dtypes...

PySyft Basics

  • BaseWorker
  • VirtualWorker (can rely on BaseWorker serialization for this)
  • TrainConfig (deprecated training method should be removed from PySyft)
  • String

PySyft Pointers and Wrappers

  • MultiPointerTensor
  • ObjectPointer
  • ObjectWrapper
  • PointerPlan
  • PointerProtocol

PySyft Tensors

  • LoggingTensor
  • AutogradTensor
  • CRTPrecisionTensor
  • FixedPrecisionTensor
  • GradFunc
  • PrivateTensor
  • PlaceholderTensor

PySyft Messaging

  • Message (generic message type should not be serialized to Protobuf)
  • Plan as a list of operations
  • Plan as Torchscript for inference
  • Plan as Torchscript for training
  • State
  • Protocol

PySyft Messages

  • ForceObjectDeleteMessage
  • GetShapeMessage
  • IsNoneMessage
  • ObjectMessage
  • ObjectRequestMessage
  • Operation
  • PlanCommandMessage
  • SearchMessage

PySyft Exceptions

  • GetNotPermittedError
  • ResponseSignatureError
@cereallarceny cereallarceny created this issue from a note in Model-centric Federated Learning (To do) Feb 3, 2020
@cereallarceny cereallarceny added the Type: Epic 🤙 Describes a large amount of functionality that will likely be broken down into smaller issues label Feb 3, 2020
@cereallarceny cereallarceny moved this from To do to In progress in Model-centric Federated Learning Feb 3, 2020
@karlhigley karlhigley mentioned this issue Apr 1, 2020
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@ucalyptus ucalyptus self-assigned this Apr 11, 2020
@karlhigley karlhigley assigned tudorcebere and unassigned ucalyptus May 29, 2020
@karlhigley karlhigley added the Status: In Progress 🌟 This is actively being worked on label May 29, 2020
@gmuraru
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gmuraru commented Jun 6, 2020

@tudorcebere what is the status of this? (you were working on this, right?)

@cereallarceny cereallarceny moved this from In progress to Done in Model-centric Federated Learning Jun 9, 2020
@karlhigley karlhigley removed their assignment Oct 14, 2021
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@tudorcebere tudorcebere

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Status: In Progress 🌟 This is actively being worked on Type: Epic 🤙 Describes a large amount of functionality that will likely be broken down into smaller issues
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Model-centric Federated Learning
  
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@karlhigley @cereallarceny @gmuraru @tudorcebere @ucalyptus