def visitUOp(self, node:AST.UOp, args=None): (prog_1, expr_1) = self.visit(node.expr) op = node.op if op == AST.Operators.ADD: return (prog_1, expr_1) assert op == AST.Operators.SUB typ_2 = node.type expr_2 = self.getTempVar() if Type.isInt(typ_2): comment = IR.Comment(str(node.metadata)) bitlen = node.expr.bitlen decl = IR.Decl(expr_2.idf, node.type, typ_2.bitlen, typ_2.isSecret) assign = IR.Assn(expr_2, IRUtil.negate(expr_1)) prog_2 = IRUtil.prog_merge(prog_1, IR.Prog([comment, decl, assign])) else: # decl fresh vars iters = self.getTempIterators(typ_2.dim) # cmdl_assn expr_1_elt = IRUtil.addIndex(expr_1, iters) expr_2_elt = IRUtil.addIndex(expr_2, iters) cmdl_assn = IRUtil.loop(typ_2.shape, iters, [IR.Assn(expr_2_elt, IRUtil.negate(expr_1_elt))]) comment = IR.Comment(str(node.metadata)) prog_2 = IRUtil.prog_merge(prog_1, IR.Prog([comment] + cmdl_assn)) prog_2 = IRUtil.prog_merge(IR.Prog([IR.Decl(expr_2.idf, node.type)]), prog_2) if not(Util.Config.disableTruncOpti): self.scaleFacMapping[expr_2.idf] = self.scaleFacMapping[expr_1.idf] return (prog_2, expr_2)
def visitUOp(self, node: AST.UOp, args=None):
(prog_1, expr_1) = self.visit(node.expr)
op = node.op
if op == AST.Operators.ADD:
return (prog_1, expr_1)
assert op == AST.Operators.SUB
typ_2 = node.type
# e : Int
if Type.isInt(typ_2):
prog_2 = prog_1
expr_2 = IRUtil.negate(expr_1)
# e: Tensor(), or Tensor(..)
else:
# decl fresh vars
expr_2 = self.getTempVar()
iters = self.getTempIterators(typ_2.dim)
# cmdl_assn
expr_1_elt = IRUtil.addIndex(expr_1, iters)
expr_2_elt = IRUtil.addIndex(expr_2, iters)
cmdl_assn = IRUtil.loop(
typ_2.shape, iters,
[IR.Assn(expr_2_elt, IRUtil.negate(expr_1_elt))])
comment = IR.Comment(str(node.metadata))
prog_2 = IRUtil.prog_merge(prog_1, IR.Prog([comment] + cmdl_assn))
self.decls[expr_2.idf] = [typ_2]
prog_2 = IRUtil.prog_merge(
IR.Prog([IR.Decl(expr_2.idf, node.type)]), prog_2)
return (prog_2, expr_2)
def visitTranspose(self, node:AST.Transpose, args=None):
(inp_prog, inp_arr) = self.visit(node.expr)
inp_type = node.expr.type
out_type = node.type
inp_iters = self.getTempIterators(inp_type.dim)
out_iters = []
perm = node.perm
if (perm is None):
perm = [i for i in reversed(range(len(inp_type.shape)))]
for i in perm:
out_iters.append(inp_iters[i])
out_arr = self.getTempVar()
out_arr_expr = IRUtil.addIndex(out_arr, out_iters)
inp_arr_expr = IRUtil.addIndex(inp_arr, inp_iters)
assign_expr = IR.Assn(out_arr_expr, inp_arr_expr)
loop = IRUtil.loop(inp_type.shape, inp_iters, [assign_expr])
# Finalize
comment1 = IR.Comment(str(node.metadata))
comment2 = IR.Comment("transpose(" + inp_arr.idf + ", [" + ', '.join(str(e) for e in inp_type.shape) + "] --> [" + ', '.join(str(e) for e in out_type.shape) + "])")
transpose_prog = IR.Prog([comment1, comment2] + loop)
final_prog = IRUtil.prog_merge(inp_prog, transpose_prog)
for var in inp_iters:
final_prog = IRUtil.prog_merge(IR.Prog([IR.Decl(var.idf, Type.Int(), isSecret=False)]), final_prog)
final_prog = IRUtil.prog_merge(IR.Prog([IR.Decl(out_arr.idf, out_type)]), final_prog)
if not(Util.Config.disableTruncOpti):
self.scaleFacMapping[out_arr.idf] = self.scaleFacMapping[inp_arr.idf]
return (final_prog, out_arr)
def visitTranspose(self, node: AST.Transpose, args=None):
(inp_prog, inp_arr) = self.visit(node.expr)
inp_type = node.expr.type
out_type = node.type
inp_iters = self.getTempIterators(inp_type.dim)
out_iters = []
perm = node.perm
for i in perm:
out_iters.append(inp_iters[i])
out_arr = self.getTempVar()
out_arr_expr = IRUtil.addIndex(out_arr, out_iters)
inp_arr_expr = IRUtil.addIndex(inp_arr, inp_iters)
assign_expr = IR.Assn(out_arr_expr, inp_arr_expr)
loop = IRUtil.loop(inp_type.shape, inp_iters, [assign_expr])
# Finalize
comment1 = IR.Comment(str(node.metadata))
comment2 = IR.Comment("transpose(" + inp_arr.idf + ", [" +
', '.join(str(e)
for e in inp_type.shape) + "] --> [" +
', '.join(str(e) for e in out_type.shape) + "])")
transpose_prog = IR.Prog([comment1, comment2] + loop)
final_prog = IRUtil.prog_merge(inp_prog, transpose_prog)
# Update context
self.decls[out_arr.idf] = [out_type]
# Update declarations
self.decls.update(
dict((var.idf, [Type.Int(), 'public']) for var in inp_iters))
for var in inp_iters:
final_prog = IRUtil.prog_merge(
IR.Prog([IR.Decl(var.idf, Type.Int(), isSecret="public")]),
final_prog)
final_prog = IRUtil.prog_merge(
IR.Prog([IR.Decl(out_arr.idf, out_type)]), final_prog)
return (final_prog, out_arr)
def visitReshape(self, node:AST.Reshape, args=None):
(prog_1, expr_1) = self.visit(node.expr)
'''
reshape(A, n, h, w)
cmd1: t1 = t2 = t3 = 0;
loop2: for n in 0:N:
for h in 0:H:
for w in 0:W:
cmd3: B[n][h][w] = A[t1][t2][t3]
cmd4: t3++;
cmd5: if (t3 == WW)
t3 = 0;
t2++;
if (t2 == HH)
t2 = 0;
t1++;
'''
typ_1 = node.expr.type
typ_2 = node.type
# Declare variables
expr_2 = self.getTempVar()
iters_1 = self.getTempIterators(typ_1.dim)
iters_2 = self.getTempIterators(typ_2.dim)
# Initialize to 0
cmd1 = [IR.Assn(var, IRUtil.zero) for var in iters_1]
# Incrementing the first index
first_iter = iters_1[0]
cmd4 = IRUtil.incCmd(first_iter)
# Incrementing other indices using a loop
cmd5 = [cmd4]
for i in range(1, typ_1.dim):
curr_iter = iters_1[i]
curr_size = IR.Int(typ_1.shape[i])
cmd5 = [IRUtil.incCmd(curr_iter), IR.If(IRUtil.eq(curr_iter, curr_size), [IRUtil.initVarToZero(curr_iter)] + cmd5)]
# Outer loop
# The iterators are selected based on the selection order specified by the user
loopShape = []
loopIters = []
if(node.order):
for order in node.order:
order = order - 1
loopShape.append(typ_2.shape[order])
loopIters.append(iters_2[order])
else:
loopShape = typ_2.shape
loopIters = iters_2
loop2 = IRUtil.loop(loopShape, loopIters, [IR.Assn(IRUtil.addIndex(expr_2, iters_2), IRUtil.addIndex(expr_1, iters_1))] + cmd5)
# Finalize
comment1 = IR.Comment(str(node.metadata))
comment2 = IR.Comment("reshape(" + expr_1.idf + ", " + ', '.join(str(e) for e in typ_2.shape) + ")")
reshape_prog = IR.Prog([comment1, comment2] + cmd1 + loop2)
prog_2 = IRUtil.prog_merge(prog_1, reshape_prog)
for var in iters_1:
prog_2 = IRUtil.prog_merge(IR.Prog([IR.Decl(var.idf, Type.Int(), isSecret=False)]), prog_2)
for var in iters_2:
prog_2 = IRUtil.prog_merge(IR.Prog([IR.Decl(var.idf, Type.Int(), isSecret=False)]), prog_2)
prog_2 = IRUtil.prog_merge(IR.Prog([IR.Decl(expr_2.idf, typ_2)]), prog_2)
if not(Util.Config.disableTruncOpti):
self.scaleFacMapping[expr_2.idf] = self.scaleFacMapping[expr_1.idf]
return (prog_2, expr_2)
