hasktorch: Torch for tensors and neural networks in Haskell
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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 Torch and PyTorch. This library leverages cabal v2-build
and backpack
. *Note that this project is in early development and should only be used by contributing developers. Expect substantial changes to the library API as it evolves. Contributions and PRs are welcome (see details on github).*
Properties
Versions | 0.0.1.0, 0.0.1.0, 0.2.0.0, 0.2.0.1, 0.2.1.0, 0.2.1.1 |
---|---|
Change log | None available |
Dependencies | base (>=4.7 && <5), dimensions (>=1.0), hasktorch, hasktorch-ffi-th (>=0.0.1 && <0.0.2), hasktorch-ffi-thc (>=0.0.1 && <0.0.2), hasktorch-indef, hasktorch-signatures-partial (>=0.0.1 && <0.0.2), hasktorch-types-th (>=0.0.1 && <0.0.2), hasktorch-types-thc (>=0.0.1 && <0.0.2), safe-exceptions (>=0.1.0), singletons (>=2.2), text (>=1.2.2) [details] |
License | BSD-3-Clause |
Author | Hasktorch dev team |
Maintainer | Sam Stites <fnz@fgvgrf.vb>, Austin Huang <nhfgvau@nyhz.zvg.rqh> - cipher:ROT13 |
Category | Tensors, Machine Learning, AI |
Home page | https://github.com/hasktorch/hasktorch#readme |
Bug tracker | https://github.com/hasktorch/hasktorch/issues |
Source repo | head: git clone https://github.com/hasktorch/hasktorch |
Uploaded | by stites at 2018-11-02T00:59:25Z |
library hasktorch
Modules
[Index] [Quick Jump]
- Torch
- Torch.Byte
- Torch.Byte.Dynamic
- Torch.Byte.Storage
- Torch.Char
- Torch.Char.Dynamic
- Torch.Char.Storage
- Core
- Cuda
- Torch.Cuda.Byte
- Torch.Cuda.Byte.Dynamic
- Torch.Cuda.Byte.Storage
- Torch.Cuda.Char
- Torch.Cuda.Char.Dynamic
- Torch.Cuda.Char.Storage
- Torch.Cuda.Double
- Torch.Cuda.Double.Dynamic
- Torch.Cuda.Double.Dynamic.NN
- Torch.Cuda.Double.Dynamic.NN.Activation
- Torch.Cuda.Double.Dynamic.NN.Criterion
- Torch.Cuda.Double.Dynamic.NN.Pooling
- Torch.Cuda.Double.Dynamic.NN
- Torch.Cuda.Double.NN
- Torch.Cuda.Double.NN.Activation
- Torch.Cuda.Double.NN.Backprop
- Torch.Cuda.Double.NN.Conv1d
- Torch.Cuda.Double.NN.Conv2d
- Torch.Cuda.Double.NN.Criterion
- Torch.Cuda.Double.NN.Layers
- Torch.Cuda.Double.NN.Linear
- Torch.Cuda.Double.NN.Math
- Torch.Cuda.Double.NN.Padding
- Torch.Cuda.Double.NN.Pooling
- Torch.Cuda.Double.NN.Sampling
- Torch.Cuda.Double.Storage
- Torch.Cuda.Double.Dynamic
- Torch.Cuda.Float
- Torch.Cuda.Float.Dynamic
- Torch.Cuda.Float.Storage
- Torch.Cuda.Int
- Torch.Cuda.Int.Dynamic
- Torch.Cuda.Int.Storage
- Torch.Cuda.Long
- Torch.Cuda.Long.Dynamic
- Torch.Cuda.Long.Storage
- Torch.Cuda.Short
- Torch.Cuda.Short.Dynamic
- Torch.Cuda.Short.Storage
- Torch.Cuda.Byte
- Torch.Double
- Torch.Double.Dynamic
- Torch.Double.Dynamic.NN
- Torch.Double.Dynamic.NN.Activation
- Torch.Double.Dynamic.NN.Criterion
- Torch.Double.Dynamic.NN.Pooling
- Torch.Double.Dynamic.NN
- Torch.Double.NN
- Torch.Double.NN.Activation
- Torch.Double.NN.Backprop
- Torch.Double.NN.Conv1d
- Torch.Double.NN.Conv2d
- Torch.Double.NN.Criterion
- Torch.Double.NN.Layers
- Torch.Double.NN.Linear
- Torch.Double.NN.Math
- Torch.Double.NN.Padding
- Torch.Double.NN.Pooling
- Torch.Double.NN.Sampling
- Torch.Double.Storage
- Torch.Double.Dynamic
- Torch.Float
- Torch.Float.Dynamic
- Torch.Float.Storage
- Torch.Int
- Torch.Int.Dynamic
- Torch.Int.Storage
- Torch.Long
- Torch.Long.Dynamic
- Torch.Long.Storage
- Torch.Short
- Torch.Short.Dynamic
- Torch.Short.Storage
- Types
- Torch.Types.Numeric
- Torch.Byte
library hasktorch:hasktorch-indef-floating
Modules
[Index] [Quick Jump]
- Torch
- Indef
- Dynamic
- Torch.Indef.Dynamic.NN
- Torch.Indef.Dynamic.NN.Activation
- Torch.Indef.Dynamic.NN.Criterion
- Torch.Indef.Dynamic.NN.Pooling
- Torch.Indef.Dynamic.Print
- Torch.Indef.Dynamic.Tensor
- Torch.Indef.Dynamic.Tensor.Copy
- Torch.Indef.Dynamic.Tensor.Index
- Torch.Indef.Dynamic.Tensor.Masked
- Torch.Indef.Dynamic.Tensor.Math
- Torch.Indef.Dynamic.Tensor.Math.Blas
- Torch.Indef.Dynamic.Tensor.Math.Compare
- Torch.Indef.Dynamic.Tensor.Math.CompareT
- Torch.Indef.Dynamic.Tensor.Math.Floating
- Torch.Indef.Dynamic.Tensor.Math.Lapack
- Torch.Indef.Dynamic.Tensor.Math.Pairwise
- Torch.Indef.Dynamic.Tensor.Math.Pointwise
- Torch.Indef.Dynamic.Tensor.Math.Pointwise.Floating
- Torch.Indef.Dynamic.Tensor.Math.Pointwise.Signed
- Random
- Torch.Indef.Dynamic.Tensor.Math.Random.TH
- Torch.Indef.Dynamic.Tensor.Math.Reduce
- Torch.Indef.Dynamic.Tensor.Math.Reduce.Floating
- Torch.Indef.Dynamic.Tensor.Math.Scan
- Torch.Indef.Dynamic.Tensor.Mode
- Random
- Torch.Indef.Dynamic.Tensor.Random.TH
- Torch.Indef.Dynamic.Tensor.Random.THC
- Torch.Indef.Dynamic.Tensor.ScatterGather
- Torch.Indef.Dynamic.Tensor.Sort
- Torch.Indef.Dynamic.Tensor.TopK
- Torch.Indef.Dynamic.NN
- Torch.Indef.Index
- Torch.Indef.Mask
- Static
- Torch.Indef.Static.NN
- Torch.Indef.Static.NN.Activation
- Torch.Indef.Static.NN.Backprop
- Torch.Indef.Static.NN.Conv1d
- Torch.Indef.Static.NN.Conv2d
- Torch.Indef.Static.NN.Criterion
- Torch.Indef.Static.NN.Layers
- Torch.Indef.Static.NN.Linear
- Torch.Indef.Static.NN.Math
- Torch.Indef.Static.NN.Padding
- Torch.Indef.Static.NN.Pooling
- Torch.Indef.Static.NN.Sampling
- Torch.Indef.Static.Tensor
- Torch.Indef.Static.Tensor.Copy
- Torch.Indef.Static.Tensor.Index
- Torch.Indef.Static.Tensor.Masked
- Torch.Indef.Static.Tensor.Math
- Torch.Indef.Static.Tensor.Math.Blas
- Torch.Indef.Static.Tensor.Math.Compare
- Torch.Indef.Static.Tensor.Math.CompareT
- Torch.Indef.Static.Tensor.Math.Floating
- Torch.Indef.Static.Tensor.Math.Lapack
- Torch.Indef.Static.Tensor.Math.Pairwise
- Torch.Indef.Static.Tensor.Math.Pointwise
- Torch.Indef.Static.Tensor.Math.Pointwise.Floating
- Torch.Indef.Static.Tensor.Math.Pointwise.Signed
- Random
- Torch.Indef.Static.Tensor.Math.Random.TH
- Torch.Indef.Static.Tensor.Math.Reduce
- Torch.Indef.Static.Tensor.Math.Reduce.Floating
- Torch.Indef.Static.Tensor.Math.Scan
- Torch.Indef.Static.Tensor.Mode
- Random
- Torch.Indef.Static.Tensor.Random.TH
- Torch.Indef.Static.Tensor.Random.THC
- Torch.Indef.Static.Tensor.ScatterGather
- Torch.Indef.Static.Tensor.Sort
- Torch.Indef.Static.Tensor.TopK
- Torch.Indef.Static.NN
- Torch.Indef.Storage
- Torch.Indef.Storage.Copy
- Torch.Indef.Types
- Dynamic
- Undefined
- Tensor
- Math
- Random
- Torch.Undefined.Tensor.Math.Random.TH
- Random
- Random
- Torch.Undefined.Tensor.Random.TH
- Torch.Undefined.Tensor.Random.THC
- Math
- Tensor
- Indef
library hasktorch:hasktorch-indef-signed
Modules
[Index] [Quick Jump]
- Torch
- Indef
- Dynamic
- Torch.Indef.Dynamic.Print
- Torch.Indef.Dynamic.Tensor
- Torch.Indef.Dynamic.Tensor.Copy
- Torch.Indef.Dynamic.Tensor.Index
- Torch.Indef.Dynamic.Tensor.Masked
- Torch.Indef.Dynamic.Tensor.Math
- Torch.Indef.Dynamic.Tensor.Math.Compare
- Torch.Indef.Dynamic.Tensor.Math.CompareT
- Torch.Indef.Dynamic.Tensor.Math.Pairwise
- Torch.Indef.Dynamic.Tensor.Math.Pointwise
- Torch.Indef.Dynamic.Tensor.Math.Pointwise.Signed
- Torch.Indef.Dynamic.Tensor.Math.Reduce
- Torch.Indef.Dynamic.Tensor.Math.Scan
- Torch.Indef.Dynamic.Tensor.Mode
- Torch.Indef.Dynamic.Tensor.ScatterGather
- Torch.Indef.Dynamic.Tensor.Sort
- Torch.Indef.Dynamic.Tensor.TopK
- Torch.Indef.Index
- Torch.Indef.Mask
- Static
- Torch.Indef.Static.Tensor
- Torch.Indef.Static.Tensor.Copy
- Torch.Indef.Static.Tensor.Index
- Torch.Indef.Static.Tensor.Masked
- Torch.Indef.Static.Tensor.Math
- Torch.Indef.Static.Tensor.Math.Compare
- Torch.Indef.Static.Tensor.Math.CompareT
- Torch.Indef.Static.Tensor.Math.Pairwise
- Torch.Indef.Static.Tensor.Math.Pointwise
- Torch.Indef.Static.Tensor.Math.Pointwise.Signed
- Torch.Indef.Static.Tensor.Math.Reduce
- Torch.Indef.Static.Tensor.Math.Scan
- Torch.Indef.Static.Tensor.Mode
- Torch.Indef.Static.Tensor.ScatterGather
- Torch.Indef.Static.Tensor.Sort
- Torch.Indef.Static.Tensor.TopK
- Torch.Indef.Static.Tensor
- Torch.Indef.Storage
- Torch.Indef.Storage.Copy
- Torch.Indef.Types
- Dynamic
- Indef
library hasktorch:hasktorch-indef-unsigned
Modules
[Index] [Quick Jump]
- Torch
- Indef
- Dynamic
- Torch.Indef.Dynamic.Print
- Torch.Indef.Dynamic.Tensor
- Torch.Indef.Dynamic.Tensor.Copy
- Torch.Indef.Dynamic.Tensor.Index
- Torch.Indef.Dynamic.Tensor.Masked
- Torch.Indef.Dynamic.Tensor.Math
- Torch.Indef.Dynamic.Tensor.Math.Compare
- Torch.Indef.Dynamic.Tensor.Math.CompareT
- Torch.Indef.Dynamic.Tensor.Math.Pairwise
- Torch.Indef.Dynamic.Tensor.Math.Pointwise
- Torch.Indef.Dynamic.Tensor.Math.Reduce
- Torch.Indef.Dynamic.Tensor.Math.Scan
- Torch.Indef.Dynamic.Tensor.Mode
- Torch.Indef.Dynamic.Tensor.ScatterGather
- Torch.Indef.Dynamic.Tensor.Sort
- Torch.Indef.Dynamic.Tensor.TopK
- Torch.Indef.Index
- Torch.Indef.Mask
- Static
- Torch.Indef.Static.Tensor
- Torch.Indef.Static.Tensor.Copy
- Torch.Indef.Static.Tensor.Index
- Torch.Indef.Static.Tensor.Masked
- Torch.Indef.Static.Tensor.Math
- Torch.Indef.Static.Tensor.Math.Compare
- Torch.Indef.Static.Tensor.Math.CompareT
- Torch.Indef.Static.Tensor.Math.Pairwise
- Torch.Indef.Static.Tensor.Math.Pointwise
- Torch.Indef.Static.Tensor.Math.Reduce
- Torch.Indef.Static.Tensor.Math.Scan
- Torch.Indef.Static.Tensor.Mode
- Torch.Indef.Static.Tensor.ScatterGather
- Torch.Indef.Static.Tensor.Sort
- Torch.Indef.Static.Tensor.TopK
- Torch.Indef.Static.Tensor
- Torch.Indef.Storage
- Torch.Indef.Storage.Copy
- Torch.Indef.Types
- Dynamic
- Indef
library hasktorch:hasktorch-gpu
Modules
[Index] [Quick Jump]
- Torch
- Cuda
- Torch.Cuda.Byte
- Torch.Cuda.Byte.Dynamic
- Torch.Cuda.Byte.Storage
- Torch.Cuda.Char
- Torch.Cuda.Char.Dynamic
- Torch.Cuda.Char.Storage
- Torch.Cuda.Double
- Torch.Cuda.Double.Dynamic
- Torch.Cuda.Double.Dynamic.NN
- Torch.Cuda.Double.Dynamic.NN.Activation
- Torch.Cuda.Double.Dynamic.NN.Criterion
- Torch.Cuda.Double.Dynamic.NN.Pooling
- Torch.Cuda.Double.Dynamic.NN
- Torch.Cuda.Double.NN
- Torch.Cuda.Double.NN.Activation
- Torch.Cuda.Double.NN.Backprop
- Torch.Cuda.Double.NN.Conv1d
- Torch.Cuda.Double.NN.Conv2d
- Torch.Cuda.Double.NN.Criterion
- Torch.Cuda.Double.NN.Layers
- Torch.Cuda.Double.NN.Linear
- Torch.Cuda.Double.NN.Math
- Torch.Cuda.Double.NN.Padding
- Torch.Cuda.Double.NN.Pooling
- Torch.Cuda.Double.NN.Sampling
- Torch.Cuda.Double.Storage
- Torch.Cuda.Double.Dynamic
- Torch.Cuda.Int
- Torch.Cuda.Int.Dynamic
- Torch.Cuda.Int.Storage
- Torch.Cuda.Long
- Torch.Cuda.Long.Dynamic
- Torch.Cuda.Long.Storage
- Torch.Cuda.Short
- Torch.Cuda.Short.Dynamic
- Torch.Cuda.Short.Storage
- Torch.Cuda.Byte
- Cuda
library hasktorch:hasktorch-cpu
Modules
[Index] [Quick Jump]
- Torch
- Torch.Byte
- Torch.Byte.Dynamic
- Torch.Byte.Storage
- Torch.Char
- Torch.Char.Dynamic
- Torch.Char.Storage
- Torch.Double
- Torch.Double.Dynamic
- Torch.Double.Dynamic.NN
- Torch.Double.Dynamic.NN.Activation
- Torch.Double.Dynamic.NN.Criterion
- Torch.Double.Dynamic.NN.Pooling
- Torch.Double.Dynamic.NN
- Torch.Double.NN
- Torch.Double.NN.Activation
- Torch.Double.NN.Backprop
- Torch.Double.NN.Conv1d
- Torch.Double.NN.Conv2d
- Torch.Double.NN.Criterion
- Torch.Double.NN.Layers
- Torch.Double.NN.Linear
- Torch.Double.NN.Math
- Torch.Double.NN.Padding
- Torch.Double.NN.Pooling
- Torch.Double.NN.Sampling
- Torch.Double.Storage
- Torch.Double.Dynamic
- Torch.Float
- Torch.Float.Dynamic
- Torch.Float.Dynamic.NN
- Torch.Float.Dynamic.NN.Activation
- Torch.Float.Dynamic.NN.Criterion
- Torch.Float.Dynamic.NN.Pooling
- Torch.Float.Dynamic.NN
- Torch.Float.NN
- Torch.Float.NN.Activation
- Torch.Float.NN.Backprop
- Torch.Float.NN.Conv1d
- Torch.Float.NN.Conv2d
- Torch.Float.NN.Criterion
- Torch.Float.NN.Layers
- Torch.Float.NN.Linear
- Torch.Float.NN.Math
- Torch.Float.NN.Padding
- Torch.Float.NN.Pooling
- Torch.Float.NN.Sampling
- Torch.Float.Storage
- Torch.Float.Dynamic
- Torch.Int
- Torch.Int.Dynamic
- Torch.Int.Storage
- Torch.Long
- Torch.Long.Dynamic
- Torch.Long.Storage
- Torch.Short
- Torch.Short.Dynamic
- Torch.Short.Storage
- Torch.Byte
Flags
Automatic Flags
Name | Description | Default |
---|---|---|
cuda | build with THC support | Disabled |
lite | only build with Double and Long support | Disabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- hasktorch-0.0.1.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Maintainer's Corner
Package maintainers
For package maintainers and hackage trustees