Theano
0.9
  • Release Notes
  • Theano at a Glance
  • Requirements
  • Installing Theano
  • Updating Theano
  • Tutorial
  • Extending Theano
  • Developer Start Guide
  • Optimizations
  • API Documentation
    • compile – Transforming Expression Graphs to Functions
    • config – Theano Configuration
    • d3viz – d3viz: Interactive visualization of Theano compute graphs
    • gof – Theano Internals [doc TODO]
    • gpuarray – The (new) GPU backend
    • gradient – Symbolic Differentiation
    • misc.pkl_utils - Tools for serialization.
    • printing – Graph Printing and Symbolic Print Statement
    • sandbox – Experimental Code
      • sandbox.cuda – The CUDA GPU backend
        • sandbox.cuda – List of CUDA GPU Op implemented
        • sandbox.cuda.var – The Variables for Cuda-allocated arrays
        • sandbox.cuda.type – The Type object for Cuda-allocated arrays
        • theano.sandbox.cuda.dnn – cuDNN
      • sandbox.linalg – Linear Algebra Ops
      • sandbox.neighbours – Neighbours Ops
      • sandbox.rng_mrg – MRG random number generator
    • scalar – Symbolic Scalar Types, Ops [doc TODO]
    • scan – Looping in Theano
    • sparse – Symbolic Sparse Matrices
    • sparse – Sparse Op
    • sparse.sandbox – Sparse Op Sandbox
    • tensor – Types and Ops for Symbolic numpy
    • typed_list – Typed List
    • tests – Tests
  • Troubleshooting
  • Glossary
  • Links
  • Internal Documentation
  • Acknowledgements
  • LICENSE
Theano
  • Docs »
  • API Documentation »
  • sandbox – Experimental Code »
  • sandbox.cuda – The CUDA GPU backend
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sandbox.cuda – The CUDA GPU backend¶

  • sandbox.cuda – List of CUDA GPU Op implemented
  • sandbox.cuda.var – The Variables for Cuda-allocated arrays
  • sandbox.cuda.type – The Type object for Cuda-allocated arrays
  • theano.sandbox.cuda.dnn – cuDNN
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