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  • compile – Transforming Expression Graphs to Functions
    • shared - defines pytensor.shared
    • function - defines pytensor.function
    • io - defines pytensor.function [TODO]
    • ops – Some Common Ops and extra Ops stuff
    • mode – controlling compilation
    • debugmode
    • nanguardmode
  • config – PyTensor Configuration
  • d3viz – d3viz: Interactive visualization of PyTensor compute graphs
  • graph – Theano Internals [doc TODO]
    • graph – Interface for the PyTensor graph
    • fg – Graph Container [doc TODO]
    • features – [doc TODO]
    • graph – Objects and functions for computational graphs
    • type – Interface for types of variables
    • utils – Utilities functions operating on the graph
  • gradient – Symbolic Differentiation
  • misc.pkl_utils - Tools for serialization.
  • printing – Graph Printing and Symbolic Print Statement
  • sandbox – Experimental Code
    • sandbox.linalg – Linear Algebra Ops
  • scalar – Symbolic Scalar Types, Ops [doc TODO]
  • scan – Looping in PyTensor
  • sparse – Symbolic Sparse Matrices
  • sparse.sandbox – Sparse Op Sandbox
  • tensor – Types and Ops for Symbolic numpy
    • Basic Tensor Functionality
    • random – Low-level random numbers
      • basic – Low-level random numbers
      • utils – Friendly random numbers
    • tensor.utils – Tensor Utils
    • tensor.elemwise – Tensor Elemwise
    • tensor.extra_ops – Tensor Extra Ops
    • tensor.io – Tensor IO Ops
    • tensor.slinalg – Linear Algebra Ops Using Scipy
    • tensor.nlinalg – Linear Algebra Ops Using Numpy
    • tensor.fft – Fast Fourier Transforms
    • tensor.conv – Tensor Convolutions
    • tensor.rewriting.math – Tensor Rewrites for Math Operations
    • tensor.rewriting.basic – Tensor Rewrites
  • typed_list – Typed List
  • API Documentation
  • sandbox – Experimental Code

sandbox – Experimental Code#

  • sandbox.linalg – Linear Algebra Ops

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sandbox.linalg – Linear Algebra Ops
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