Function reference
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Arg(<LazyTensor>)Arg(<ComplexLazyTensor>) - Element-wise argument (or angle) of complex
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Arg() - Element-wise argument (or angle) of complex operation
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Conj(<LazyTensor>)Conj(<ComplexLazyTensor>) - Element-wise complex conjugate
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Conj() - Element-wise complex conjugate operation
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Im(<LazyTensor>)Im(<ComplexLazyTensor>) - Element-wise complex imaginery part
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Im() - Element-wise complex imaginery part operation
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Kmin()Kmin_reduction() - K-Min reduction
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Kmin_argKmin()Kmin_argKmin_reduction() - K-Min-arg-K-min reduction
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LazyTensor() - Build and return a LazyTensor object.
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Mod(<LazyTensor>)Mod(<ComplexLazyTensor>) - Element-wise complex modulus (absolute value)
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Mod() - Element-wise complex modulus (absolute value) operation
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Pm() - Wrapper LazyTensor parameter.
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Re(<LazyTensor>)Re(<ComplexLazyTensor>) - Element-wise complex real part
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Re() - Element-wise complex real part operation
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`|` - Euclidean scalar product (for LazyTensors) or default logical "or"
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Vi() - Wrapper LazyTensor indexed by "i".
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Vj() - Wrapper LazyTensor indexed by "j".
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abs(<LazyTensor>)abs(<ComplexLazyTensor>) - Element-wise absolute value operation
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abs() - Element-wise absolute value (or modulus) operation
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acos(<LazyTensor>) - Element-wise arc-cosine operation
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acos() - Element-wise arc-cosine operation.
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argKmin()argKmin_reduction() - Arg-K-min reduction
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argmax()argmax_reduction() - ArgMax operation or ArgMax reduction
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argmin()argmin_reduction() - ArgMin operation or ArgMin reduction
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`/` - Division
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`*`(<LazyTensor>)`*`(<ComplexLazyTensor>) - Multiplication
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`*` - Multiplication
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`^`(<LazyTensor>) - Element-wise power operation
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`^` - Element-wise power operation
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asin(<LazyTensor>) - Element-wise arc-sine operation
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asin() - Element-wise arc-sine operation.
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atan(<LazyTensor>) - Element-wise arc-tangent operation
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atan() - Element-wise arc-tangent operation.
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atan2(<LazyTensor>) - Element-wise 2-argument arc-tangent operation
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atan2() - Element-wise 2-argument arc-tangent operation.
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binaryop.LazyTensor() - Build a binary operation
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check_rkeops() - Check if
rkeopsis ready and working
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clamp() - Element-wise clamp function
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clampint() - Element-wise clampint function
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clean_rkeops() - Clean RKeOps build directory
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Re(<default>)Im(<default>)Arg(<default>)Conj(<default>)Mod(<default>) - Complex Numbers and Basic Functionality
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concat() - Concatenation
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cos(<LazyTensor>) - Element-wise cosine operation
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cos() - Element-wise cosine operation.
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`+``+``-``-``*`(<default>)`/`(<default>)`^`(<default>) - Default arithmetic operations
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exp(<default>)log(<default>) - Logarithms and Exponentials
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sqrt(<default>)abs(<default>) - Miscellaneous Mathematical Functions
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cos(<default>)sin(<default>)acos(<default>)asin(<default>)atan(<default>)atan2(<default>) - Trigonometric Functions
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elem() - Extract an element
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elemT() - Insert element in a vector of zeros
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exp(<LazyTensor>)exp(<ComplexLazyTensor>) - Element-wise exponential operation
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exp() - Element-wise exponential operation
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exp1j() - Element-wise "complex exponential of 1j x" operation.
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extract() - Extract a range of elements
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extractT() - Insert a range of elements
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get_rkeops_options() - Get the current
rkeopsoptions inRglobal options scope
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grad() - Gradient operation.
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ifelse(<LazyTensor>) - Element-wise if-else function.
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ifelse() - Element-wise if-else function
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ifelse(<default>) - Conditional Element Selection
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imag2complex() - Element-wise "imaginary to complex" operation.
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install_rkeops() - Install RKeOps requirements
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inv(<LazyTensor>) - Element-wise inverse operation
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inv() - Element-wise inverse operation.
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inv(<default>) - Element-wise inverse operation
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is.ComplexLazyParameter() - is.ComplexLazyParameter?
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is.ComplexLazyTensor() - is.ComplexLazyTensor?
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is.LazyMatrix() - is.LazyMatrix?
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is.LazyParameter() - is.LazyParameter?
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is.LazyTensor() - is.LazyTensor?
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is.LazyVector() - is.LazyVector?
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is.int() - Scalar integer test.
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keops_grad() - Compute the gradient of a rkeops operator
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keops_kernel() - Defines a new KeOps operator to compute a specific symbolic formula
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log() - Element-wise natural logarithm operation
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log() - Element-wise natural logarithm operation
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`|`(<default>) - Logical.or
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logsumexp()logsumexp_reduction() - Log-Sum-Exp reduction.
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`%*%`(<LazyTensor>) - Matrix multiplication
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`%*%` - Matrix multiplication
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`%*%`(<default>) - Matrix multiplication
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matvecmult() - Matrix-vector product
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max(<LazyTensor>)max_reduction() - Maximum operation or maximum reduction
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max() - Maximum operation or maximum reduction
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max(<default>) - Maximum operation
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max_argmax()max_argmax_reduction() - Max-ArgMax reduction
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min(<LazyTensor>)min_reduction() - Minimum operation or minimum reduction
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min() - Minimum operation or minimum reduction
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min(<default>) - Minimum operation
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min_argmin()min_argmin_reduction() - Min-ArgMin reduction
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mod(<LazyTensor>) - Element-wise modulo with offset function
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mod() - Element-wise modulo with offset function
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norm2() - Euclidean norm
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normalize() - Vector normalization
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one_hot() - One-hot encoding vector
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real2complex() - Element-wise "real to complex" operation.
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reduction.LazyTensor() - Reduction operation
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relu(<LazyTensor>) - Element-wise ReLU function
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relu() - Element-wise ReLU function
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relu(<default>) - Element-wise ReLU function
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rkeops-packagerkeops - rkeops
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rkeops_disable_verbosity() - Disable additional verbosity in
rkeops
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rkeops_enable_verbosity() - Enable additional verbosity in
rkeops
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rkeops_use_cpu() - Enable GPU-computing when calling user-defined operators
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rkeops_use_float32() - Use 32bit float precision in computations
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rkeops_use_float64() - Use 64bit float precision in computations
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rkeops_use_gpu() - Enable GPU-computing when calling user-defined operators
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round(<LazyTensor>) - Element-wise rounding function
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round() - Element-wise rounding function
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round(<default>) - Rounding function
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rsqrt(<LazyTensor>) - Element-wise inverse square root operation
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rsqrt() - Element-wise inverse square root operation
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rsqrt(<default>) - Element-wise inverse square root operation
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set_rkeops_options() - Initialize or update
rkeopsoptions inRglobal options scope
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sign(<LazyTensor>) - Element-wise sign operation
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sign() - Element-wise sign operation
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sign(<default>) - Sign function
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sin(<LazyTensor>) - Element-wise sine operation
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sin() - Element-wise sine operation.
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sinxdivx(<LazyTensor>) - Element-wise
sin(x)/xoperation
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sinxdivx() - Element-wise
sin(x)/xfunction
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sinxdivx(<default>) - sin(x)/x function
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sqdist() - Squared distance
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sqnorm2() - Squared Euclidean norm
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sqrt(<LazyTensor>) - Element-wise square root operation
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sqrt() - Element-wise square root operation
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square(<LazyTensor>) - Element-wise square (power-2) operation
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square() - Element-wise square (power-2) operation
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square(<default>) - Element-wise square (power-2) operation
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step(<LazyTensor>) - Element-wise 0-1 step function
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step() - Element-wise 0-1 step function (for LazyTensors) or default stepwise model selection
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step(<default>) - Choose a model by AIC in a Stepwise Algorithm
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sum(<LazyTensor>)sum_reduction() - Sum operation or sum reduction
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sum() - Sum operation or sum reduction
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sum(<default>) - Sum operation
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sumsoftmaxweight()sumsoftmaxweight_reduction() - Sum of weighted Soft-Max reduction.
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tensorprod() - Tensor product
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ternaryop.LazyTensor() - Build a ternary operation
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unaryop.LazyTensor() - Build a unary operation
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vecmatmult() - Vector-matrix product
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weightedsqdist() - Generic weighted squared distance
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weightedsqnorm() - Generic weighted squared Euclidean norm
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xlogx(<LazyTensor>) - Element-wise
x*log(x)operation
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xlogx() - Element-wise
x*log(x)operation
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xlogx(<default>) - x*log(x) function