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[diderot] Diff of /branches/charisee/src/compiler/gen/il/low-il.spec
 [diderot] / branches / charisee / src / compiler / gen / il / low-il.spec

# Diff of /branches/charisee/src/compiler/gen/il/low-il.spec

revision 2377, Mon Jun 3 19:41:56 2013 UTC revision 2397, Sat Jul 6 20:50:46 2013 UTC
# Line 9  Line 9
9  # Operations with effects are denoted by a "!" as the first character of the line.  # Operations with effects are denoted by a "!" as the first character of the line.
10  #  #
11  # type-indexed arithmetic operations  # type-indexed arithmetic operations
12  Add : ty : 1 : 2 :  IAdd : 1 : 2 :
13  Sub : ty : 1 : 2 :  ISub : 1 : 2 :
14  Mul : ty : 1 : 2 :  IMul : 1 : 2 :
15  Div : ty : 1 : 2 :  IDiv : 1 : 2 :
16  Neg : ty : 1 : 1 :  INeg : 1 : 1 :
17  Abs : ty : 1 : 1 :  Abs : ty : 1 : 1 :
18  LT : ty : 1 : 2 :  LT : ty : 1 : 2 :
19  LTE : ty : 1 : 2 :  LTE : ty : 1 : 2 :
# Line 28  Line 28
28  Clamp : ty : 1 : 3 : clamp argument to range  Clamp : ty : 1 : 3 : clamp argument to range
29  # Lerp<ty>(a, b, t) -- computes a + t*(b-a)  # Lerp<ty>(a, b, t) -- computes a + t*(b-a)
30  Lerp : ty : 1 : 3 : linear interpolation between 0 and 1  Lerp : ty : 1 : 3 : linear interpolation between 0 and 1
31  #
### vector operations
# Dot<n>(u, v)  -- computes dot product of u and v; n specifies u and v's arity
Dot : int : 1 : 2 :
# MulVecMat<m,n>(v, M) -- computes v*M, where M is an mxn-matrix and v is an m-vector
MulVecMat : int * int : 1 : 2 : vector times matrix multiplication
# MulMatVec<m,n>(M, v) -- computes M*v, where M is an mxn-matrix and v is a n-vector
MulMatVec : int * int : 1 : 2 : matrix times vector multiplication (type is matrix type)
# MulMatMat<m,n,p>(M, N) -- computes M*N, where M is an mxn-matrix and N is an nxp-matrix
MulMatMat : int * int * int : 1 : 2 : matrix times matrix multiplication
# MulVecTen3<m,n,p>(v, T) -- computes v*T, where T is an mxnxp-tensor and v is an m-vector
MulVecTen3 : int * int * int : 1 : 2 : vector times 3rd-order tensor multiplication
# MulTen3Vec<m,n,p>(v, T) -- computes T*v, where T is an mxnxp-tensor and v is a p-vector
MulTen3Vec : int * int * int : 1 : 2 : 3rd-order tensor times vector multiplication
# ColonMul<ty1,ty2>(T1, T2) -- computes T1:T2, where T1 (resp. T2) has type ty1 (resp. ty2)
ColonMul : ty * ty : 1 : 2 : colon product
# Cross(u, v)   -- computes cross product of u and v
Cross : : 1 : 2 :
32  # Norm<ty>(x) -- returns the norm of the tensor x, which has type ty  # Norm<ty>(x) -- returns the norm of the tensor x, which has type ty
33  Norm : ty : 1 : 1 :  Norm : ty : 1 : 1 :
34  # Normalize<n>(v)   -- returns the unit vector in direction u; n is the length ov u  # Normalize<n>(v)   -- returns the unit vector in direction u; n is the length ov u
35  Normalize : int : 1 : 1 :  Normalize : int : 1 : 1 :
# Scale<ty>(s,u) -- multiply scalar s time tensor u; ty specifies u's type
Scale : ty : 1 : 2 : scalar*tensor multiplication
36  PrincipleEvec : ty : 1 : 2 : principle eigenvector; ty is result vector type  PrincipleEvec : ty : 1 : 2 : principle eigenvector; ty is result vector type
37  EigenVecs2x2 : : 1 : 1 : Eigen vectors and values for 2x2 matrix  EigenVecs2x2 : : 1 : 1 : Eigen vectors and values for 2x2 matrix
38  EigenVecs3x3 : : 1 : 1 : Eigen vectors and values for 3x3 matrix  EigenVecs3x3 : : 1 : 1 : Eigen vectors and values for 3x3 matrix
39  EigenVals2x2 : : 1 : 1 : Eigen values for 2x2 matrix  EigenVals2x2 : : 1 : 1 : Eigen values for 2x2 matrix
40  EigenVals3x3 : : 1 : 1 : Eigen values for 3x3 matrix  EigenVals3x3 : : 1 : 1 : Eigen values for 3x3 matrix
# Identity<n>() -- nxn identity matrix
Identity : int : 1 : 0 : identity matrix
41  # Zero<ty>() -- zero tensor  # Zero<ty>() -- zero tensor
42  Zero : ty : 1 : 0 : identity matrix  Zero : ty : 1 : 0 : identity matrix
# Transpose<n,m>(M) -- computes transpose of nxm matrix
Transpose : int * int : 1 : 1 : compute transpose of matrix
#
43  # operations on sequences  # operations on sequences
44  # Select<ty,i>(u)  -- select ith element of tuple; ty is tuple type  # Select<ty,i>(u)  -- select ith element of tuple; ty is tuple type
45  Select : ty * int : 1 : 1 :  Select : ty * int : 1 : 1 :

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