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Toolbox

PyPi

This repositories offers a toolbox across platforms.

How to use

  • MatlabFuncs: this class simulate all Matlab functions for numpy, pytorch, tensorflow. Please note that data must be batched (at least batch_size=1).
  • MatlabFuncHelper: this class simulate all Matlab functions in python (batch is supported).
    • batch
      • setBatchSize(batch_size) or setBS(batch_size)
      • getBatchSize() or getBS()
    • data type selectors
      • toNP(): to numpy
      • toPT(): to pytorch
      • toTF(): to tensorflow
    • checkers
      • isvector(mat)
      • ismatrix(mat)
      • isnan(mat)
    • generators
      • zeros(d1, d2, ...)
      • ones(d1, d2, ...)
      • eye(d1, ...): eye(d1) or eye(d1, d2)
      • seq(): generate a sequence, seq(end), seq(beg, end), seq(beg, step, end)
      • rand(d1, d2, ...):
      • randn(d1, d2, ...):
      • dftmtx(d1): generate the discrete transform matrix
    • transformers
      • squeeze(mat): remove redundant dimension except for the batch_size
      • reshape(mat, d1, d2, ...):
      • repmat1(mat, d1, d2, ...): repeat the matrix in the given dimension (the batch dim is repeated as 1)
      • repmatN(mat, d1, d2, ...): repeat the matrix in the given dimension (the batch dim is repeated as batch_size)
      • diag(mat): generate a matrix based on its diag or get a diagonal matrix from its vector
        @mat: a vector as [(batch_size), n, 1] or [(batch_size), 1, n]; if n == 1, it will be taken as [(batch_size), n, 1]. Or a square matrix [(batch_size), n, n]
      • circshift(mat, step): circular shift (1st index except for the batch size)
    • Maths
      • sum(): sum along the last axis
      • max(): return the maximum of a matrix or the maximum of two matrices (for complex value, we compare the magnitude)
        self.max(mat1, axis=-1);    // return the maximum of a matrix, axis tells which axis to look at
        self.max(mat1, 4);          // return the maximum of a matrix and the given value
        self.max(mat1, mat2);       // return the maximum of two matrices
        
      • kron(a, b): Kronecker produc

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