hasktorch 0.2.1.0 → 0.2.1.1

raw patch · 5 files changed

+10/−7 lines, 5 filesbinary-added

Files

hasktorch.cabal +7/−4
test/Torch/Distributions/BernoulliSpec.hs +3/−3
test/data/mnist-sample-images-idx3-ubyte.gz binary
test/data/mnist-sample-labels-idx1-ubyte.gz binary
test/data/numpy_rawfile binary

hasktorch.cabal view

@@ -1,16 +1,20 @@+cabal-version:       3.0 name:                hasktorch-version:             0.2.1.0+version:             0.2.1.1 synopsis:            Haskell bindings to libtorch, supporting both typed and untyped tensors. description:         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. homepage:            https://github.com/hasktorch/hasktorch#readme-license:             BSD3+license:             BSD-3-Clause license-file:        LICENSE author:              Hasktorch Contributor Team maintainer:          hasktorch@gmail.com copyright:           2019 Austin Huang category:            Codegen build-type:          Custom-cabal-version:       1.24+extra-source-files:+  ./test/data/numpy_rawfile+  ./test/data/mnist-sample-labels-idx1-ubyte.gz+  ./test/data/mnist-sample-images-idx3-ubyte.gz  custom-setup   setup-depends:@@ -96,7 +100,6 @@                     , Torch.Index                     , Torch.Jit - other-modules:       Paths_hasktorch  hs-source-dirs:      src  default-language:    Haskell2010  ghc-options:         -fplugin GHC.TypeLits.Normalise -fplugin GHC.TypeLits.KnownNat.Solver -fplugin GHC.TypeLits.Extra.Solver -fconstraint-solver-iterations=0 -fplugin GHC.NotExport.Plugin

test/Torch/Distributions/BernoulliSpec.hs view

@@ -62,9 +62,9 @@     toList (Just t) `shouldBe` [True, True]    it "logProb" $ do-    -- putStrLn . show $ logProb d $ D.asTensor [[0.3, 0.5 :: Float]]-    let t :: Tnsr 'D.Float '[1, 2] = UnsafeMkTensor $ logProb d $ D.asTensor [[0.3, 0.5 :: Float]]-    F.allclose (toDynamic t) (D.asTensor [[-0.6749387, -0.7530129 :: Float]]) 0.001 0.001 False `shouldBe` True+    -- putStrLn . show $ logProb d $ D.asTensor [0.3, 0.5 :: Float]+    let t :: Tnsr 'D.Float '[2] = UnsafeMkTensor $ logProb d $ D.asTensor [0.3, 0.5 :: Float]+    F.allclose (toDynamic t) (D.asTensor [-0.6749387, -0.7530129 :: Float]) 0.001 0.001 False `shouldBe` True    it "entropy" $ do     -- putStrLn . show $ entropy d

+ test/data/mnist-sample-images-idx3-ubyte.gz view

binary file changed (absent → 2638 bytes)

+ test/data/mnist-sample-labels-idx1-ubyte.gz view

binary file changed (absent → 44 bytes)

+ test/data/numpy_rawfile view

binary file changed (absent → 16 bytes)