mirror of
https://github.com/tensorflow/haskell.git
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c66c912c32
* Tensorflow 2.3.0 building and passing tests. * Added einsum and test. * Added ByteString as a possible argument to a function. * Support more data types for Adam. * Move to later version of LTS on stackage. * Added a wrapper module for convolution functions. * Update ci build to use a later version of stack. * Removed a deprecated import in GradientTest.
80 lines
2.4 KiB
Text
80 lines
2.4 KiB
Text
name: tensorflow-mnist
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version: 0.1.0.0
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synopsis: TensorFlow demo application for learning MNIST model.
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description: Please see README.md
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homepage: https://github.com/tensorflow/haskell#readme
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license: Apache
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license-file: LICENSE
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author: TensorFlow authors
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maintainer: tensorflow-haskell@googlegroups.com
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copyright: Google Inc.
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category: Machine Learning
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build-type: Simple
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cabal-version: >=1.22
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data-files: data/*.ckpt
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, data/*.pb
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library
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hs-source-dirs: src
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, src-data
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exposed-modules: TensorFlow.Examples.MNIST.Parse
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, TensorFlow.Examples.MNIST.TrainedGraph
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other-modules: Paths_tensorflow_mnist
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build-depends: proto-lens == 0.7.*
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, base >= 4.7 && < 5
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, binary
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, bytestring
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, filepath
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, lens-family >= 2.0
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, containers
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, split
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, tensorflow-proto == 0.2.*
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, tensorflow-core-ops == 0.2.*
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, tensorflow == 0.2.*
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, text
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, vector
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, zlib
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default-language: Haskell2010
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executable Main
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default-language: Haskell2010
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main-is: Main.hs
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hs-source-dirs: app
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build-depends: base
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, bytestring
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, filepath
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, lens-family
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, proto-lens
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, tensorflow
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, tensorflow-mnist
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, tensorflow-mnist-input-data
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, tensorflow-ops
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, tensorflow-proto
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, text
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, transformers
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, vector
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Test-Suite ParseTest
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default-language: Haskell2010
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type: exitcode-stdio-1.0
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main-is: ParseTest.hs
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hs-source-dirs: tests
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build-depends: HUnit
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, base
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, bytestring
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, proto-lens
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, lens-family
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, tensorflow
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, tensorflow-mnist
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, tensorflow-mnist-input-data
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, tensorflow-ops
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, tensorflow-proto
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, test-framework
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, test-framework-hunit
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, text
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, transformers
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, vector
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source-repository head
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type: git
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location: https://github.com/tensorflow/haskell
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