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View of /branches/vis15/src/compiler/gen/ir/mid-ir.spec

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Revision 3830 - (download) (annotate)
Thu May 5 22:13:46 2016 UTC (3 years, 2 months ago) by jhr
File size: 5884 byte(s)
  Working on merge: getting clamp and lerp sorted
# specification of operators for MidIR version of the IR.  Each line (other than comments)
# specifies an operator using five fields, which are separated by ":".  The fields are
#       name
#       argument type           (optional)
#       result arity
#       arity
#       comment                 (optional)
#
# Operations with effects are denoted by a "!" as the first character of the line.
#
# integer operations
IAdd : : 1 : 2 : integer addition
ISub : : 1 : 2 : integer subtraction
IMul : : 1 : 2 : integer multiplication
IDiv : : 1 : 2 : integer division
IMod : : 1 : 2 : integer modulo
INeg : : 1 : 1 : integer negation
#
# comparisons (integer and scalar)
LT : ty : 1 : 2 :
LTE : ty : 1 : 2 :
EQ : ty : 1 : 2 :
NEQ : ty : 1 : 2 :
GT : ty : 1 : 2 :
GTE : ty : 1 : 2 :
Not : : 1 : 1 : boolean negation
Abs : ty : 1 : 1 :
Max : ty : 1 : 2 :
Min : ty : 1 : 2 :
# Clamp<ty>(lo, hi, x) -- clamps x to the range lo..hi, where lo and hi are scalars and x
# has type ty
Clamp : ty : 1 : 3 : clamp argument to range
# MapClamp<ty>(lo, hi, x) -- clamps x[alpha] to the range lo[alpha]..hi[alpha], where
# x, lo, and hi all have type ty (which is a non-scalar tensor type).
MapClamp : ty : 1 : 3 : clamp argument to range
# Lerp<ty>(a, b, t) -- computes a + t*(b-a), where a and b have type ty and t has type real
Lerp : ty : 1 : 3 : linear interpolation between 0 and 1
#
### tensor operations
#
# TensorIndex<ty,idxs>(T) returns the scalar T[idxs], where T has type ty
TensorIndex : ty * shape : 1 : 1 :
#
### matrix operations
#
EigenVecs2x2 : : 1 : 1 : Eigen vectors and values for 2x2 matrix
EigenVecs3x3 : : 1 : 1 : Eigen vectors and values for 3x3 matrix
EigenVals2x2 : : 1 : 1 : Eigen values for 2x2 matrix
EigenVals3x3 : : 1 : 1 : Eigen values for 3x3 matrix
# Zero<ty>() -- zero tensor
Zero : ty : 1 : 0 : all zeros tensor
#
### tuple operations
#
# Select<ty,i>(u)  -- select ith element of tuple; ty is tuple type
Select : ty * int : 1 : 1 :
#
### operations on sequences
#
# Subscript<ty>(u,i) -- select ith element of sequence; ty is type of sequence
Subscript : ty : 1 : 2 :
# MkDynamic<ty,n> -- make a sequence with type ty[n] into a dynamic sequence
!MkDynamic : ty * int : 1 : 1 : make a fixed-length sequence dynamic
!Append : ty : 2 : 1 : append an element onto a dynamic sequence
!Prepend : ty : 2 : 1 : prepend an element onto a dynamic sequence
!Concat : ty : 2 : 1 : concatenate two dynamic sequences
# Range(lo,hi) -- create a sequence with values [lo, lo+1, ..., hi]
Range : : 2 : 1 : create a range sequence
# Length<ty> -- return the length of a sequence with type ty[]
Length : ty : 1 : 1 : return the length of a dynamic sequence
#
# SphereQuery<posType,seqTy>(??)
SphereQuery : ty * ty : 1 : 2 : find strands within a sphere
#
# compute integral parts of reals
Ceiling : int : 1 : 1 : compute real ceiling of a vector
Floor : int : 1 : 1 : compute real floor of a vector
Round : int : 1 : 1 : compute real rounding to nearest integral real of a vector
Trunc : int : 1 : 1 : compute real truncation to integral real of a vector
#
### conversions; the real to int forms are vector ops
IntToReal : : 1 : 1 :
RealToInt : int : 1 : 1 : cast reals to ints and vectors to int sequences
#
# reduction operations
R_All      : ty : 1 : 3 :
R_Exists   : ty : 1 : 3 :
R_Max      : ty : 1 : 3 :
R_Min      : ty : 1 : 3 :
R_Sum      : ty : 1 : 3 :
R_Product  : ty : 1 : 3 :
R_Mean     : ty : 1 : 3 :
R_Variance : ty : 1 : 4 :
#
### image/kernel operations
#
# BuildPos<s>(x) -- builds a vector of 2s kernel arguments at positions [x-s, .., x+(s-1)]
BuildPos : int : 1 : 1 : compute vector of kernel arguments
#
# EvalKernel<d,h,k>(u) -- computes h^(k)(u_i) for 1<i<d, where d is the size of vector u.
EvalKernel : int * Kernel.kernel * int : 1 : 1 : evaluate a kernel function application
#
# Kernel<h,k>() -- represents the k'th derivative of the kernel h.
Kernel    : Kernel.kernel * int  : 1 : 0 :
#
Transform  : ImageInfo.info : 1 : 1 : Pulls transformation matrix from image.
Translate  : ImageInfo.info : 1 : 1 : Pulls translation vector from image.
#
# LoadVoxels<I,s>(V,n) -- loads a tensor of voxels from the image V, where I is the
# image info for V, s is size of the sample (i.e., twice the kernel support), and
# n is a sequence of integer indices that specifies the corner of the loaded tensor.
# If V has the type "image(d)[shp]", then n has type "int[n]" and the resulting tensor
# has the type "tensor[shp,s^d]".
LoadVoxels : ImageInfo.info * int : 1 : 2 : load a cube of voxels
#
# LoadVoxelsWithCtl<I,s,ctl>(V,n) -- like LoadVoxels, but it also uses the specified
# index control to deal with out-of-bounds indices.
LoadVoxelsWithCtl : ImageInfo.info * int * idxctl : 1 : 2 : load a cube of voxels
#
# Inside<I,s>(n,V) -- tests to see if the index sequence n is inside the domain of V.
# I is the image info for V, s is the size of the sample to be loaded (see LoadVoxels)
Inside : ImageInfo.info * int : 1 : 2 :
#
# ImageDim<I,i>(V) -- returns the i'th dimension of the image
ImageDim : ImageInfo.info * int : 1 : 1 :
#
# BorderCtlDefault<I>(V,t) -- wrap the image V with the border control that returns a default value t
BorderCtlDefault : ImageInfo.info : 1 : 2 :
# BorderCtlClamp<I>(V) -- wrap the image V with the border control that clamps the index
BorderCtlClamp : ImageInfo.info : 1 : 1 :
# BorderCtlMirror<I>(V) -- wrap the image V with the border control that mirrors the index
BorderCtlMirror : ImageInfo.info : 1 : 1 :
# BorderCtlWrap<I>(V) -- wrap the image V with the border control that wraps the index
BorderCtlWrap : ImageInfo.info : 1 : 1 :
#
# nrrd file loading
LoadSeq   : ty * string : 1 : 0 : load sequence from nrrd file
LoadImage : ty * string : 1 : 0 : load image from nrrd file
#
# printing support for debugging
!Print : tys : 0 : * : print strings
#
# unlifted math functions
MathFn : MathFns.t : 1 : * : math function

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