hasktorch: Haskell bindings to libtorch, supporting both typed and untyped tensors.
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Hasktorch is a library for tensors and neural networks in Haskell. It is an independent open source community project which leverages the core C++ libraries shared by PyTorch.
Properties
Versions | 0.0.1.0, 0.2.0.0, 0.2.0.0, 0.2.0.1, 0.2.1.0, 0.2.1.1 |
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Change log | None available |
Dependencies | array (>=0.5.5 && <0.6), async (>=2.2.5 && <2.3), base (>=4.7 && <5), bytestring (>=0.11.5 && <0.12), cassava (>=0.5.3 && <0.6), constraints (>=0.14 && <0.15), containers (>=0.6.7 && <0.7), data-default-class (>=0.1 && <0.3), finite-typelits (>=0.1 && <0.3), foldl (>=1.4 && <1.5), ghc-typelits-extra (>=0.4.6 && <0.5), ghc-typelits-knownnat (>=0.7.9 && <0.8), ghc-typelits-natnormalise (>=0.7.9 && <0.8), half (>=0.3 && <0.4), inline-c (>=0.9.1 && <0.10), JuicyPixels (>=3.3 && <3.4), lens-family-core (>=2.1.3 && <2.2), libtorch-ffi (>=2.0 && <2.1), libtorch-ffi-helper (>=2.0 && <2.1), lifted-async (>=0.10.2 && <0.11), megaparsec (>=9.5 && <9.8), monad-control (>=1.0.3 && <1.1), mtl (>=2.3.1 && <2.4), pipes (>=4.3.16 && <4.4), pipes-bytestring (>=2.1.7 && <2.2), pipes-concurrency (>=2.0.14 && <2.1), pipes-csv (>=1.4.3 && <1.5), pipes-group (>=1.0.12 && <1.1), pipes-safe (>=2.3.5 && <2.4), random (>=1.2.1 && <1.3), reflection (>=2.1 && <2.2), safe-exceptions (>=0.1.7 && <0.2), stm (>=2.5.1 && <2.6), template-haskell (>=2.20.0 && <2.21), transformers-base (>=0.4.6 && <0.5), vector (>=0.13 && <0.14), vector-sized (>=1.5 && <1.7), zlib (>=0.6 && <0.8) [details] |
License | BSD-3-Clause |
Copyright | 2019 Austin Huang |
Author | Hasktorch Contributor Team |
Maintainer | hasktorch@gmail.com |
Category | Codegen |
Home page | https://github.com/hasktorch/hasktorch#readme |
Uploaded | by junjihashimoto at 2024-12-13T05:53:03Z |
Modules
- Torch
- Torch.Autograd
- Torch.Backend
- Torch.Cast
- Torch.DType
- Torch.Data
- Torch.Data.CsvDatastream
- Torch.Data.Dataset
- Torch.Data.Internal
- Torch.Data.Pipeline
- Torch.Data.StreamedPipeline
- Torch.Data.Utils
- Torch.Device
- Torch.Dimname
- Distributions
- Torch.Distributions.Bernoulli
- Torch.Distributions.Categorical
- Torch.Distributions.Constraints
- Torch.Distributions.Distribution
- Torch.Functional
- Torch.Functional.Internal
- Torch.HList
- Torch.Index
- Torch.Initializers
- Torch.Jit
- Torch.Layout
- Torch.Lens
- Torch.NN
- Recurrent
- Cell
- Torch.NN.Recurrent.Cell.Elman
- Torch.NN.Recurrent.Cell.GRU
- Torch.NN.Recurrent.Cell.LSTM
- Cell
- Recurrent
- Torch.Optim
- Torch.Optim.CppOptim
- Torch.Random
- Torch.Scalar
- Torch.Script
- Torch.Serialize
- Torch.Tensor
- Torch.TensorFactories
- Torch.TensorOptions
- Torch.Tutorial
- Torch.Typed
- Torch.Typed.Autograd
- Torch.Typed.Auxiliary
- Torch.Typed.DType
- Torch.Typed.Device
- Torch.Typed.Factories
- Torch.Typed.Functional
- Torch.Typed.Lens
- Torch.Typed.NN
- Torch.Typed.NN.Convolution
- Torch.Typed.NN.DataParallel
- Torch.Typed.NN.Dropout
- Torch.Typed.NN.Linear
- Torch.Typed.NN.Normalization
- Torch.Typed.NN.Recurrent
- Torch.Typed.NN.Recurrent.Auxiliary
- Cell
- Torch.Typed.NN.Recurrent.Cell.GRU
- Torch.Typed.NN.Recurrent.Cell.LSTM
- Torch.Typed.NN.Recurrent.GRU
- Torch.Typed.NN.Recurrent.LSTM
- Torch.Typed.NN.Sparse
- Torch.Typed.NN.Transformer
- Torch.Typed.NamedTensor
- Torch.Typed.Optim
- Torch.Typed.Optim.CppOptim
- Torch.Typed.Parameter
- Torch.Typed.Serialize
- Torch.Typed.Tensor
- Torch.Typed.VLTensor
- Torch.Typed.Vision
- Torch.Vision
Flags
Manual Flags
Name | Description | Default |
---|---|---|
disable-doctest | Disable doctest. ToDo: This flag is to avoid relocation-error of ghci for macos. | Disabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- hasktorch-0.2.0.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
Package maintainers
For package maintainers and hackage trustees