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Templates.py
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import PyAST
import copy
nameCnt = 0
def uniqueName():
global nameCnt
name = '_f' + str(nameCnt)
nameCnt = nameCnt + 1
return name
# Generic Node
class Node(object):
def __init__(self, name=''):
self.children = []
self.properties = {}
if name != '':
self.properties['name'] = name
def __repr__(self):
return self.__str__()
def __str__(self):
r = str(self.__class__.__name__) + str(self.properties)
for child in self.children:
r += ', ' + str(child)
return r
class ScalarConstant(Node):
pass
class SemanticModel(Node):
pass
class PipeAndFilter(Node):
pass
class Filter(Node):
pass
class FunctionDef(Node):
@staticmethod
def match(astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'FunctionDef'):
f = FunctionDef()
f.properties['name'] = astNode.name
b = PipeAndFilter()
for child in astNode.body:
b.children += astNodes[id(child)]
f.children.append(b)
astNodes[id(astNode)] = [f]
semanticModel.children.append(f)
return True
else:
return False
class Iterator(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'For'):
f = Iterator()
f.properties['ub'] = astNode.iter.args[0].n
b = PipeAndFilter()
for child in astNode.body:
b.children += astNodes[id(child)]
f.children.append(b)
astNodes[id(astNode)] = [f]
return True
else:
return False
class Num(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Num'):
astNodes[id(astNode)] = []
astVariables[id(astNode)] = Scalar.CreateImmediate(astNode.n)
return True
else:
return False
class ArrayOp(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftName = astVariables[id(astNode.left)]
rightName = astVariables[id(astNode.right)]
if(isArray(symbolTable, leftName) and isArray(symbolTable, rightName)):
m = Filter('ArrayOp')
m.properties['op'] = astNode.op.__class__.__name__
newvar = Array.CreateCopy(symbolTable, uniqueName(), leftName)
m.children.append(newvar)
m.children.append(leftName)
m.children.append(rightName)
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class Array2DOp(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftName = astVariables[id(astNode.left)]
rightName = astVariables[id(astNode.right)]
if(isArray2D(symbolTable, leftName) and isArray2D(symbolTable, rightName)):
m = Filter('Array2DOp')
m.properties['op'] = astNode.op.__class__.__name__
newvar = Array2D.CreateCopy(symbolTable, uniqueName(), leftName)
m.children.append(newvar)
m.children.append(leftName)
m.children.append(rightName)
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class Array3DOp(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftName = astVariables[id(astNode.left)]
rightName = astVariables[id(astNode.right)]
if(isArray3D(symbolTable, leftName) and isArray3D(symbolTable, rightName)):
m = Filter('Array3DOp')
m.properties['op'] = astNode.op.__class__.__name__
newvar = Array3D.CreateCopy(symbolTable, uniqueName(), leftName)
m.children.append(newvar)
m.children.append(leftName)
m.children.append(rightName)
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class Array2DScalarOp(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftName = astVariables[id(astNode.left)]
rightName = astVariables[id(astNode.right)]
if isArray2D(symbolTable, leftName) and isScalar(symbolTable, rightName):
m = Filter('Array2DScalarOp')
m.properties['op'] = astNode.op.__class__.__name__
newvar = Array2D.CreateCopy(symbolTable, uniqueName(), leftName)
m.children.append(newvar)
m.children.append(leftName)
m.children.append(rightName)
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class ArrayScalarOp(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftName = astVariables[id(astNode.left)]
rightName = astVariables[id(astNode.right)]
if isArray(symbolTable, leftName) and isScalar(symbolTable, rightName):
m = Filter('ArrayScalarOp')
m.properties['op'] = astNode.op.__class__.__name__
newvar = Array.CreateCopy(symbolTable, uniqueName(), leftName)
m.children.append(newvar)
m.children.append(leftName)
m.children.append(rightName)
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class ScalarArray2DOp(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftName = astVariables[id(astNode.left)]
rightName = astVariables[id(astNode.right)]
if isScalar(symbolTable, leftName) and isArray2D(symbolTable, rightName):
m = Filter('ScalarArray2DOp')
m.properties['op'] = astNode.op.__class__.__name__
newvar = Array2D.CreateCopy(symbolTable, uniqueName(), rightName)
m.children.append(newvar)
m.children.append(leftName)
m.children.append(rightName)
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class ScalarArray3DOp(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftName = astVariables[id(astNode.left)]
rightName = astVariables[id(astNode.right)]
if isScalar(symbolTable, leftName) and isArray3D(symbolTable, rightName):
m = Filter('ScalarArray3DOp')
m.properties['op'] = astNode.op.__class__.__name__
newvar = Array3D.CreateCopy(symbolTable, uniqueName(), rightName)
m.children.append(newvar)
m.children.append(leftName)
m.children.append(rightName)
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class ScalarArrayOp(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftName = astVariables[id(astNode.left)]
rightName = astVariables[id(astNode.right)]
if isScalar(symbolTable, leftName) and isArray(symbolTable, rightName):
m = Filter('ScalarArrayOp')
m.properties['op'] = astNode.op.__class__.__name__
newvar = Array.CreateCopy(symbolTable, uniqueName(), rightName)
m.children.append(newvar)
m.children.append(leftName)
m.children.append(rightName)
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class ScalarOp(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftName = astVariables[id(astNode.left)]
rightName = astVariables[id(astNode.right)]
if isScalar(symbolTable, leftName) and isScalar(symbolTable, rightName):
m = Filter('ScalarOp')
m.properties['op'] = astNode.op.__class__.__name__
newvar = Scalar.CreateCopy(symbolTable, uniqueName(), leftName)
m.children.append(newvar)
m.children.append(leftName)
m.children.append(rightName)
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class WarpImg2D(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'warp_img2d'):
srcName = astVariables[id(astNode.args[0])]
offset0Name = astVariables[id(astNode.args[1])]
offset1Name = astVariables[id(astNode.args[2])]
m = Filter('WarpImg2D')
newVar = Array2D.CreateCopy(symbolTable, uniqueName(), srcName)
m.children.append(newVar)
m.children.append(srcName)
m.children.append(offset0Name)
m.children.append(offset1Name)
astVariables[id(astNode)] = newVar
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + astNodes[id(astNode.args[1])] + astNodes[id(astNode.args[2])] + [m]
return True
return False
class HSMatrixPowers(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'hs_matrix_powers'):
lamName = astVariables[id(astNode.args[0])]
IxName = astVariables[id(astNode.args[1])]
IyName = astVariables[id(astNode.args[2])]
r0Name = astVariables[id(astNode.args[3])]
r1Name = astVariables[id(astNode.args[4])]
m = Filter('HSMatrixPowers')
sym0 = symbolTable[r0Name.properties['name']]
shape = (defines['STEPS'], sym0.properties['dim0'], sym0.properties['dim1'])
newVar0 = Array3D.Create(symbolTable, uniqueName(), sym0.properties['dtype'], shape, 'Inferred', False)
newVar1 = Array3D.Create(symbolTable, uniqueName(), sym0.properties['dtype'], shape, 'Inferred', False)
m.children.append(newVar0)
m.children.append(newVar1)
m.children.append(lamName)
m.children.append(IxName)
m.children.append(IyName)
m.children.append(r0Name)
m.children.append(r1Name)
astVariables[id(astNode)] = [newVar0, newVar1]
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + \
astNodes[id(astNode.args[1])] + \
astNodes[id(astNode.args[2])] + \
astNodes[id(astNode.args[3])] + \
astNodes[id(astNode.args[4])] + [m]
return True
return False
class SetBroxMatrix(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Expr'):
astNode2 = astNode.value
classname2 = astNode2.__class__.__name__
if(classname2 == 'Call'):
if(astNode2.func.id == 'set_brox_matrix'):
matName = astVariables[id(astNode2.args[0])]
srcName = astVariables[id(astNode2.args[1])]
alphaName = astVariables[id(astNode2.args[2])]
m = Filter('SetBroxMatrix')
m.children.append(matName)
m.children.append(srcName)
m.children.append(alphaName)
astVariables[id(astNode)] = None
astNodes[id(astNode)] = astNodes[id(astNode2.args[0])] + astNodes[id(astNode2.args[1])] + astNodes[id(astNode2.args[2])] + [m]
return True
return False
class SetBroxRedblackMatrix(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'set_brox_redblack_matrix'):
matName = astVariables[id(astNode.args[0])]
srcName = astVariables[id(astNode.args[1])]
alphaName = astVariables[id(astNode.args[2])]
newVar0 = Array2D.CreateCopy(symbolTable, uniqueName(), srcName )
m = Filter('SetBroxRedblackMatrix')
m.children.append(newVar0)
m.children.append(matName)
m.children.append(srcName)
m.children.append(alphaName)
astVariables[id(astNode)] = newVar0
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + astNodes[id(astNode.args[1])] + astNodes[id(astNode.args[2])] + [m]
return True
return False
class LKLeastSquares(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'lk_least_squares'):
v0 = astVariables[id(astNode.args[0])]
v1 = astVariables[id(astNode.args[1])]
v2 = astVariables[id(astNode.args[2])]
newVar0 = Array2D.CreateCopy(symbolTable, uniqueName(), v1 )
newVar1 = Array2D.CreateCopy(symbolTable, uniqueName(), v2 )
m = Filter('LKLeastSquares')
m.children.append(newVar0)
m.children.append(newVar1)
m.children.append(v0)
m.children.append(v1)
m.children.append(v2)
astVariables[id(astNode)] = [newVar0, newVar1]
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + \
astNodes[id(astNode.args[1])] + \
astNodes[id(astNode.args[2])] + \
[m]
return True
return False
class ApplyBroxPreconditioner(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'applyBroxPreconditioner'):
v0 = astVariables[id(astNode.args[0])]
v1 = astVariables[id(astNode.args[1])]
v2 = astVariables[id(astNode.args[2])]
v3 = astVariables[id(astNode.args[3])]
v4 = astVariables[id(astNode.args[4])]
v5 = astVariables[id(astNode.args[5])]
newVar0 = Array2D.CreateCopy(symbolTable, uniqueName(), v4 )
newVar1 = Array2D.CreateCopy(symbolTable, uniqueName(), v5 )
m = Filter('ApplyBroxPreconditioner')
m.children.append(newVar0)
m.children.append(newVar1)
m.children.append(v0)
m.children.append(v1)
m.children.append(v2)
m.children.append(v3)
m.children.append(v4)
m.children.append(v5)
astVariables[id(astNode)] = [newVar0, newVar1]
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + \
astNodes[id(astNode.args[1])] + \
astNodes[id(astNode.args[2])] + \
astNodes[id(astNode.args[3])] + \
astNodes[id(astNode.args[4])] + \
astNodes[id(astNode.args[5])] + \
[m]
return True
return False
class ApplyHSPreconditioner(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'applyHSPreconditioner'):
v0 = astVariables[id(astNode.args[0])]
v1 = astVariables[id(astNode.args[1])]
v2 = astVariables[id(astNode.args[2])]
v3 = astVariables[id(astNode.args[3])]
v4 = astVariables[id(astNode.args[4])]
v5 = astVariables[id(astNode.args[5])]
newVar0 = Array2D.CreateCopy(symbolTable, uniqueName(), v4 )
newVar1 = Array2D.CreateCopy(symbolTable, uniqueName(), v5 )
m = Filter('ApplyHSPreconditioner')
m.children.append(newVar0)
m.children.append(newVar1)
m.children.append(v0)
m.children.append(v1)
m.children.append(v2)
m.children.append(v3)
m.children.append(v4)
m.children.append(v5)
astVariables[id(astNode)] = [newVar0, newVar1]
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + \
astNodes[id(astNode.args[1])] + \
astNodes[id(astNode.args[2])] + \
astNodes[id(astNode.args[3])] + \
astNodes[id(astNode.args[4])] + \
astNodes[id(astNode.args[5])] + \
[m]
return True
return False
class ArraySum(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'sum'):
srcVar = astVariables[id(astNode.args[0])]
if isArray(symbolTable, srcVar):
m = Filter('ArraySum')
newVar = Scalar.CreateCopy(symbolTable, uniqueName(), srcVar)
m.children.append((newVar))
m.children.append((srcVar))
astVariables[id(astNode)] = newVar
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + [m]
return True
return False
class Array2DSum(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'sum2d'):
srcVar = astVariables[id(astNode.args[0])]
if isArray2D(symbolTable, srcVar):
m = Filter('Array2DSum')
newVar = Scalar.CreateCopy(symbolTable, uniqueName(), srcVar)
m.children.append((newVar))
m.children.append((srcVar))
astVariables[id(astNode)] = newVar
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + [m]
return True
return False
class ScalarSqrt(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'sqrt'):
srcVar = astVariables[id(astNode.args[0])]
if isScalar(symbolTable, srcVar):
m = Filter('ScalarSqrt')
newVar = Scalar.CreateCopy(symbolTable, uniqueName(), srcVar)
m.children.append((newVar))
m.children.append((srcVar))
astVariables[id(astNode)] = newVar
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + [m]
return True
return False
class ArraySqrt(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'sqrt'):
srcVar = astVariables[id(astNode.args[0])]
if isArray(symbolTable, srcVar):
m = Filter('ArraySqrt')
newVar = Array.CreateCopy(symbolTable, uniqueName(), srcVar)
m.children.append((newVar))
m.children.append((srcVar))
astVariables[id(astNode)] = newVar
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + [m]
return True
return False
class Array2DSqrt(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'sqrt'):
srcVar = astVariables[id(astNode.args[0])]
if isArray2D(symbolTable, srcVar):
m = Filter('Array2DSqrt')
newVar = Array2D.CreateCopy(symbolTable, uniqueName(), srcVar)
m.children.append((newVar))
m.children.append((srcVar))
astVariables[id(astNode)] = newVar
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + [m]
return True
return False
class RedArray2D(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'red'):
srcVar = astVariables[id(astNode.args[0])]
if isArray2D(symbolTable, srcVar):
m = Filter('RedArray2D')
newVar = Array2D.CreateCopy(symbolTable, uniqueName(), srcVar)
m.children.append((newVar))
m.children.append((srcVar))
astVariables[id(astNode)] = newVar
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + [m]
return True
return False
class BlackArray2D(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'black'):
srcVar = astVariables[id(astNode.args[0])]
if isArray2D(symbolTable, srcVar):
m = Filter('BlackArray2D')
newVar = Array2D.CreateCopy(symbolTable, uniqueName(), srcVar)
m.children.append((newVar))
m.children.append((srcVar))
astVariables[id(astNode)] = newVar
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + [m]
return True
return False
class SpmvDIA(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftVariable = astVariables[id(astNode.left)]
rightVariable = astVariables[id(astNode.right)]
if isSpMat(symbolTable, leftVariable) and isArray(symbolTable, rightVariable):
m = Filter('SpmvDIA')
newvar = Array.CreateCopy(symbolTable, uniqueName(), rightVariable )
m.children.append((newvar))
m.children.append((astVariables[id(astNode.left)]))
m.children.append((astVariables[id(astNode.right)]))
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class SpmvDIA2D(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftVariable = astVariables[id(astNode.left)]
rightVariable = astVariables[id(astNode.right)]
if isSpMat2D(symbolTable, leftVariable) and isArray2D(symbolTable, rightVariable):
m = Filter('SpmvDIA2D')
newvar = Array2D.CreateCopy(symbolTable, uniqueName(), rightVariable )
m.children.append((newvar))
m.children.append((astVariables[id(astNode.left)]))
m.children.append((astVariables[id(astNode.right)]))
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class Stencil2DMVM(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftVariable = astVariables[id(astNode.left)]
rightVariable = astVariables[id(astNode.right)]
if isStencil(symbolTable, leftVariable) and isArray2D(symbolTable, rightVariable):
m = Filter('Stencil2DMVM')
newvar = Array2D.CreateCopy(symbolTable, uniqueName(), rightVariable )
m.children.append((newvar))
m.children.append((astVariables[id(astNode.left)]))
m.children.append((astVariables[id(astNode.right)]))
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class SpmvCSR(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'BinOp'):
leftVariable = astVariables[id(astNode.left)]
rightVariable = astVariables[id(astNode.right)]
if isCSRMat(symbolTable, leftVariable) and isArray(symbolTable, rightVariable):
m = Filter('SpmvCSR')
shape = (leftVariable.properties['shape'][0], )
newvar = Array.Create(symbolTable, uniqueName(), rightVariable.properties['dtype'], shape, 'Inferred')
m.children.append((newvar))
m.children.append((astVariables[id(astNode.left)]))
m.children.append((astVariables[id(astNode.right)]))
astVariables[id(astNode)] = newvar
astNodes[id(astNode)] = astNodes[id(astNode.left)] + astNodes[id(astNode.right)] + [m]
return True
return False
class ArrayCopy(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Assign'):
value = astVariables[id(astNode.value)]
# List of Arrays?
if isList(value) is False:
value_list = [value]
target_list = astNode.targets
else:
value_list = value
target_list = astNode.targets[0].elts
astNodes[id(astNode)] = astNodes[id(astNode.value)]
for (value_id, value) in enumerate(value_list):
if isArray(symbolTable, value):
ac_node = Filter('ArrayCopy')
target = Array.CreateCopy(symbolTable, target_list[value_id].id, value)
ac_node.children.append((target))
ac_node.children.append((value))
astNodes[id(astNode)] += [ac_node]
astVariables[id(astNode)] = target
else:
return False
return True
return False
class Array2DCopy(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Assign'):
value = astVariables[id(astNode.value)]
# List of Array2Ds?
if isList(value) is False:
value_list = [value]
target_list = astNode.targets
else:
value_list = value
target_list = astNode.targets[0].elts
astNodes[id(astNode)] = astNodes[id(astNode.value)]
for (value_id, value) in enumerate(value_list):
if isArray2D(symbolTable, value):
ac_node = Filter('Array2DCopy')
target = Array2D.CreateCopy(symbolTable, target_list[value_id].id, value)
ac_node.children.append((target))
ac_node.children.append((value))
astNodes[id(astNode)] += [ac_node]
astVariables[id(astNode)] = target
else:
return False
return True
return False
class Array3DCopy(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Assign'):
value = astVariables[id(astNode.value)]
# List of Array3Ds?
if isList(value) is False:
value_list = [value]
target_list = astNode.targets
else:
value_list = value
target_list = astNode.targets[0].elts
astNodes[id(astNode)] = astNodes[id(astNode.value)]
for (value_id, value) in enumerate(value_list):
if isArray3D(symbolTable, value):
ac_node = Filter('Array3DCopy')
target = Array3D.CreateCopy(symbolTable, target_list[value_id].id, value)
ac_node.children.append((target))
ac_node.children.append((value))
astNodes[id(astNode)] += [ac_node]
astVariables[id(astNode)] = target
else:
return False
return True
return False
class ScalarCopy(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Assign'):
value = astVariables[id(astNode.value)]
# List of Scalars?
if isList(value) is False:
value_list = [value]
target_list = astNode.targets
else:
value_list = value
target_list = astNode.targets[0].elts
astNodes[id(astNode)] = astNodes[id(astNode.value)]
for (value_id, value) in enumerate(value_list):
if isScalar(symbolTable, value):
ac_node = Filter('ScalarCopy')
target = Scalar.CreateCopy(symbolTable, target_list[value_id].id, value)
ac_node.children.append((target))
ac_node.children.append((value))
astNodes[id(astNode)] += [ac_node]
astVariables[id(astNode)] = target
else:
return False
return True
return False
class Return(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Return'):
m = Filter('Return')
value = astVariables[id(astNode.value)]
# List?
if isList(value) is False:
value_list = [value]
else:
value_list = value
for value in value_list:
m.children.append(value)
astNodes[id(astNode)] = astNodes[id(astNode.value)] + [m]
return True
else:
return False
class ExtractSnapshots(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'extract_snapshots'):
v0 = astVariables[id(astNode.args[0])]
sym0 = symbolTable[v0.properties['name']]
shape = (defines['N_BLOCKS'] * defines['N_DOP'], defines['TRAINING_BLOCK_SIZE'], defines['N_CHAN'] * defines['TDOF'])
newVar0 = Array3D.Create(symbolTable, uniqueName(), sym0.properties['dtype'], shape, 'Inferred', False)
m = Filter('ExtractSnapshots')
m.children.append(newVar0)
m.children.append(v0)
astVariables[id(astNode)] = newVar0
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + \
[m]
return True
return False
class CgemmBatch(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'cgemm_batch'):
v0 = astVariables[id(astNode.args[0])]
sym0 = symbolTable[v0.properties['name']]
shape = (defines['N_BLOCKS'] * defines['N_DOP'], defines['N_CHAN'] * defines['TDOF'], defines['N_CHAN'] * defines['TDOF'])
newVar0 = Array3D.Create(symbolTable, uniqueName(), sym0.properties['dtype'], shape, 'Inferred', False)
m = Filter('CgemmBatch')
m.children.append(newVar0)
m.children.append(v0)
astVariables[id(astNode)] = newVar0
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + \
[m]
return True
return False
class SolveBatch(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'solve_batch'):
v0 = astVariables[id(astNode.args[0])]
v1 = astVariables[id(astNode.args[1])]
sym0 = symbolTable[v0.properties['name']]
shape = (defines['N_BLOCKS'] * defines['N_DOP'], defines['N_STEERING'], defines['N_CHAN'] * defines['TDOF'])
newVar0 = Array3D.Create(symbolTable, uniqueName(), sym0.properties['dtype'], shape, 'Inferred', False)
m = Filter('SolveBatch')
m.children.append(newVar0)
m.children.append(v0)
m.children.append(v1)
astVariables[id(astNode)] = newVar0
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + \
astNodes[id(astNode.args[1])] + \
[m]
return True
return False
class GammaWeights(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'gamma_weights'):
v0 = astVariables[id(astNode.args[0])]
v1 = astVariables[id(astNode.args[1])]
sym0 = symbolTable[v0.properties['name']]
shape = (defines['N_BLOCKS'] * defines['N_DOP'], defines['N_STEERING'])
newVar0 = Array2D.Create(symbolTable, uniqueName(), sym0.properties['dtype'], shape, 'Inferred', False)
m = Filter('GammaWeights')
m.children.append(newVar0)
m.children.append(v0)
m.children.append(v1)
astVariables[id(astNode)] = newVar0
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + \
astNodes[id(astNode.args[1])] + \
[m]
return True
return False
class InnerProducts(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Call'):
if(astNode.func.id == 'inner_products'):
v0 = astVariables[id(astNode.args[0])]
v1 = astVariables[id(astNode.args[1])]
v2 = astVariables[id(astNode.args[2])]
sym0 = symbolTable[v0.properties['name']]
shape = (defines['N_BLOCKS'] * defines['N_DOP'], defines['TRAINING_BLOCK_SIZE'], defines['N_STEERING'])
newVar0 = Array3D.Create(symbolTable, uniqueName(), sym0.properties['dtype'], shape, 'Inferred', False)
m = Filter('InnerProducts')
m.children.append(newVar0)
m.children.append(v0)
m.children.append(v1)
m.children.append(v2)
astVariables[id(astNode)] = newVar0
astNodes[id(astNode)] = astNodes[id(astNode.args[0])] + \
astNodes[id(astNode.args[1])] + \
astNodes[id(astNode.args[2])] + \
[m]
return True
return False
class Tuple(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Tuple'):
astNodes[id(astNode)] = []
astVariables[id(astNode)] = []
for elt in astNode.elts:
astVariables[id(astNode)] += [astVariables[id(elt)]]
return True
else:
return False
class Name(Node):
@staticmethod
def match( astNode, semanticModel, symbolTable, astVariables, astNodes, defines):
classname = astNode.__class__.__name__
if(classname == 'Name'):
name = Name()
name.properties['name'] = astNode.id
astNodes[id(astNode)] = []
try:
astVariables[id(astNode)] = name
except:
pass
return True
else:
return False
class Scalar(Node):
@staticmethod
def Create(symbolTable, name, dtype, source):
currentSymbol = symbolTable.get(name, None)
if currentSymbol is None:
var = Scalar()
var.properties['name'] = name
var.properties['shape'] = ()
var.properties['source'] = source
var.properties['io'] = 'inout'
var.properties['dtype'] = dtype
symbolTable[name] = var
ret = Name()
ret.properties['name'] = name
return ret
else:
ret = Name()
ret.properties['name'] = name
return ret
@staticmethod
def CreateImmediate(val):
ret = Name()
ret.properties['val'] = str(val)
ret.properties['dtype'] = 'float64'
return ret
@staticmethod
def CreateCopy(symbolTable, name, toCopy):
currentSymbol = symbolTable.get(name, None)
toCopy = symbolTable[toCopy.properties['name']]
if currentSymbol is None:
var = Scalar()
var.properties['name'] = name
var.properties['source'] = 'Inferred'
var.properties['dtype'] = toCopy.properties['dtype']
symbolTable[name] = var
ret = Name()
ret.properties['name'] = name
return ret
else:
ret = Name()
ret.properties['name'] = name
return ret
class Stencil(Node):
@staticmethod
def Create(symbolTable, name, dtype, source, ndiags):
currentSymbol = symbolTable.get(name, None)
if currentSymbol is None:
var = Stencil()
var.properties['name'] = name
var.properties['ndiags'] = ndiags
var.properties['source'] = source
var.properties['io'] = 'inout'
var.properties['dtype'] = dtype
symbolTable[name] = var
ret = Name()
ret.properties['name'] = name
return ret
else:
ret = Name()
ret.properties['name'] = name
return ret
class SpMat(Node):
@staticmethod
def Create(symbolTable, name, dtype, shape, source, ndiags):
currentSymbol = symbolTable.get(name, None)
if currentSymbol is None:
var = SpMat()
var.properties['name'] = name
var.properties['shape'] = shape
var.properties['source'] = source
var.properties['io'] = 'inout'
var.properties['dtype'] = dtype
var.properties['ndiags'] = ndiags
var.properties['dim'] = shape[0]
symbolTable[name] = var
ret = Name()
ret.properties['name'] = name