hasktorch-0.0.1.0: src/Torch/Float.hs
-------------------------------------------------------------------------------
-- |
-- Module : Torch.Float
-- Copyright : (c) Sam Stites 2017
-- License : BSD3
-- Maintainer: sam@stites.io
-- Stability : experimental
-- Portability: non-portable
--
-- Reexports of Float-specific code from hasktorch-indef.
-------------------------------------------------------------------------------
{-# OPTIONS_GHC -fno-cse #-}
{-# LANGUAGE TypeSynonymInstances #-}
module Torch.Float (module X) where
import Numeric.Dimensions
import Torch.Types.TH as X
import Torch.Float.NN as X
import Torch.Float.Types as X hiding (storage)
import Torch.Float.Index as X hiding (withDynamicState)
import Torch.Float.Mask as X
import Torch.Indef.Float.Tensor as X
import Torch.Indef.Float.Tensor.Copy as X
import Torch.Indef.Float.Tensor.Index as X
import Torch.Indef.Float.Tensor.Masked as X
import Torch.Indef.Float.Tensor.Math as X
import Torch.Indef.Float.Tensor.Math.Compare as X
import Torch.Indef.Float.Tensor.Math.CompareT as X
import Torch.Indef.Float.Tensor.Math.Pairwise as X
import Torch.Indef.Float.Tensor.Math.Pointwise as X
import Torch.Indef.Float.Tensor.Math.Reduce as X
import Torch.Indef.Float.Tensor.Math.Scan as X
import Torch.Indef.Float.Tensor.Mode as X
import Torch.Indef.Float.Tensor.ScatterGather as X
import Torch.Indef.Float.Tensor.Sort as X
import Torch.Indef.Float.Tensor.TopK as X
import Torch.Indef.Float.Tensor.Math.Pointwise.Signed as X
import Torch.Indef.Float.Tensor.Math.Blas as X
import Torch.Indef.Float.Tensor.Math.Floating as X
import Torch.Indef.Float.Tensor.Math.Lapack as X
import Torch.Indef.Float.Tensor.Math.Pointwise.Floating as X
import Torch.Indef.Float.Tensor.Math.Reduce.Floating as X
import Torch.Indef.Float.Tensor.Math.Random.TH as X
import Torch.Indef.Float.Tensor.Random.TH as X
import Torch.Core.Random as X (newRNG, seed, manualSeed, initialSeed)
-------------------------------------------------------------------------------
import System.IO.Unsafe
instance Dimensions d => Fractional (Tensor d) where
fromRational = constant . fromRational
(/) = (^/^)
instance Dimensions d => Floating (Tensor d) where
pi = X.constant pi
exp = X.exp
log = X.log
sqrt = X.sqrt
sin = X.sin
cos = X.cos
asin = X.asin
acos = X.acos
atan = X.atan
sinh = X.sinh
cosh = X.cosh