Diff of /branches/charisee/src/compiler/translate/translate-basis.sml

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	trunk/src/compiler/translate/translate-basis.sml revision 407, Fri Oct 15 12:27:09 2010 UTC	branches/charisee/src/compiler/translate/translate-basis.sml revision 2603, Thu Apr 24 03:58:37 2014 UTC
#	Line 1	Line 1
1	(* translate-basis.sml	(* translate-basis.sml
2	*	*
3	* COPYRIGHT (c) 2010 The Diderot Project (http://diderot.cs.uchicago.edu)	* COPYRIGHT (c) 2010 The Diderot Project (http://diderot-language.cs.uchicago.edu)
4	* All rights reserved.	* All rights reserved.
5	*	*
6	* Translation for basis operations in Simple AST to HighIL code	* Translation for basis operations in Simple AST to HighIL code
#	Line 12	Line 12
12	* to the instantiated meta variables mvs) to a list of SSA assignments in	* to the instantiated meta variables mvs) to a list of SSA assignments in
13	* reverse order.	* reverse order.
14	*)	*)
15	val translate : (HighIL.var * Var.var * Types.meta_var list * HighIL.var list)	val translate : (HighIL.var * Var.var * SimpleTypes.meta_arg list * HighIL.var list)
16	-> HighIL.assign list	-> HighIL.assignment list
17
18	end = struct	end = struct
19
#	Line 21	Line 21
21	structure IL = HighIL	structure IL = HighIL
22	structure DstTy = HighILTypes	structure DstTy = HighILTypes
23	structure Op = HighOps	structure Op = HighOps
24	structure Ty = Types	structure Ty = SimpleTypes
	structure TU = TypeUtil
	structure MV = MetaVar
25	structure VTbl = Var.Tbl	structure VTbl = Var.Tbl
26
27	fun pruneDim d = (case TU.pruneDim d	structure mk= mkOperators
	of (Ty.DimConst n) => n
	| d => raise Fail("unresolved dimension " ^ TU.dimToString d)
	(* end case *))
28
29	fun pruneShape sv = (case TU.pruneShape(MV.toShape sv)	fun trType (Ty.TY ty) = TranslateTy.tr ty
30	of Ty.Shape dd => DstTy.TensorTy(List.map pruneDim dd)	| trType _ = raise Fail "expected type"
31	| shp => raise Fail("unresolved shape " ^ TU.shapeToString shp)	fun dimVarToInt (Ty.DIM d) = d
32	(* end case *))	| dimVarToInt _ = raise Fail "expected dim"
33		fun dimVarToTensor dv = DstTy.tensorTy[dimVarToInt dv]
34		fun dimVarToMatrix dv = let
35		val d = dimVarToInt dv
36		in
37		DstTy.tensorTy[d, d]        (* square matrix type *)
38		end
39		fun shapeVarToTensor (Ty.SHAPE shp) = DstTy.tensorTy shp
40		| shapeVarToTensor _ = raise Fail "expected shape"
41
42	fun dimVarToTensor dv = DstTy.TensorTy[pruneDim(MV.toDim dv)]	fun assign (y, rator, xs) = [IL.ASSGN(y, IL.OP(rator, xs))]
	fun shapeVarToTensor sv = pruneShape sv
43
44	fun assign (y, rator, xs) = [(y, IL.OP(rator, xs))]	fun basisFn name (y, [], xs) = [IL.ASSGN(y, IL.APPLY(name, xs))]
45
46	fun simpleOp rator (y, [], xs) = assign (y, rator, xs)	fun simpleOp rator (y, [], xs) = assign (y, rator, xs)
47
#	Line 47	Line 49
49
50	fun vectorOp rator (y, [dv], xs) = assign (y, rator(dimVarToTensor dv), xs)	fun vectorOp rator (y, [dv], xs) = assign (y, rator(dimVarToTensor dv), xs)
51
52	fun kernel h (y, [], []) = assign(y, Op.Kernel h, [])	fun kernel h (y, [], []) = assign(y, Op.Kernel(h, 0), [])
53
54		(* utility functions for synthesizing eigenvector/eigenvalue code *)
55		fun eigenVec (rator, dim) = let
56		val ty = DstTy.SeqTy(DstTy.realTy, dim)
57		in
58		fn (y, _, [m]) => let
59		val v = IL.Var.new("evals", ty)
60		in
61		[IL.MASSGN([v, y], rator, [m])]
62		end
63		end
64		fun eigenVal (rator, dim) = let
65		val ty = DstTy.SeqTy(DstTy.vecTy dim, dim)
66		in
67		fn (y, _, [m]) => let
68		val v = IL.Var.new("evecs", ty)
69		in
70		[IL.MASSGN([y, v], rator, [m])]
71		end
72		end
73
74		fun assignEin (y, rator, xs) = IL.ASSGN(y, IL.EINAPP(rator, xs))
75
76		fun  simpleEOp rator (y, _,xs) = [assignEin(y, rator, xs)]
77
78
79
80
81
82		(* shape is an int list, DIM is in int|variable, k-level of differntiation *)
83
84	(* build a table that maps Basis variables to their translation functions *)	(* build a table that maps Basis variables to their translation functions *)
85	val tbl : ((IL.var * Ty.meta_var list * IL.var list) -> IL.assign list) VTbl.hash_table = let	val tbl : ((IL.var * Ty.meta_arg list * IL.var list) -> IL.assignment list) VTbl.hash_table = let
86	val tbl = VTbl.mkTable (128, Fail "Translate table")	val tbl = VTbl.mkTable (128, Fail "Translate table")
87		val insert = VTbl.insert tbl
88	in	in
89	List.app (VTbl.insert tbl) [	List.app insert [
	(BV.add_ii,             simpleOp(Op.Add DstTy.IntTy)),
	(BV.add_tt,             tensorOp Op.Add),
	(BV.sub_ii,             simpleOp(Op.Sub DstTy.IntTy)),
	(BV.sub_tt,             tensorOp Op.Sub),
	(BV.mul_ii,             simpleOp(Op.Mul DstTy.IntTy)),
	(BV.mul_rr,             simpleOp(Op.Mul(DstTy.TensorTy[]))),
	(BV.mul_rt,             tensorOp Op.Scale),
	(BV.mul_tr,             fn (y, sv, [t, r]) => tensorOp Op.Scale (y, sv, [r, t])),
	(BV.div_ii,             simpleOp(Op.Div DstTy.IntTy)),
	(BV.div_rr,             simpleOp(Op.Div(DstTy.TensorTy[]))),
	(BV.div_tr,             tensorOp Op.InvScale),
90	(BV.lt_ii,              simpleOp(Op.LT DstTy.IntTy)),	(BV.lt_ii,              simpleOp(Op.LT DstTy.IntTy)),
91	(BV.lt_rr,              simpleOp(Op.LT(DstTy.TensorTy[]))),	(BV.lt_rr,              simpleOp(Op.LT DstTy.realTy)),
92	(BV.lte_ii,             simpleOp(Op.LTE DstTy.IntTy)),	(BV.lte_ii,             simpleOp(Op.LTE DstTy.IntTy)),
93	(BV.lte_rr,             simpleOp(Op.LTE(DstTy.TensorTy[]))),	(BV.lte_rr,             simpleOp(Op.LTE DstTy.realTy)),
94	(BV.gte_ii,             simpleOp(Op.GTE DstTy.IntTy)),	(BV.gte_ii,             simpleOp(Op.GTE DstTy.IntTy)),
95	(BV.gte_rr,             simpleOp(Op.GTE(DstTy.TensorTy[]))),	(BV.gte_rr,             simpleOp(Op.GTE(DstTy.realTy))),
96	(BV.gt_ii,              simpleOp(Op.GT DstTy.IntTy)),	(BV.gt_ii,              simpleOp(Op.GT DstTy.IntTy)),
97	(BV.gt_rr,              simpleOp(Op.GT(DstTy.TensorTy[]))),	(BV.gt_rr,              simpleOp(Op.GT(DstTy.realTy))),
98	(BV.equ_bb,             simpleOp(Op.EQ DstTy.BoolTy)),	(BV.equ_bb,             simpleOp(Op.EQ DstTy.BoolTy)),
99	(BV.equ_ii,             simpleOp(Op.EQ DstTy.IntTy)),	(BV.equ_ii,             simpleOp(Op.EQ DstTy.IntTy)),
100	(BV.equ_ss,             simpleOp(Op.EQ DstTy.StringTy)),	(BV.equ_ss,             simpleOp(Op.EQ DstTy.StringTy)),
101	(BV.equ_rr,             simpleOp(Op.EQ(DstTy.TensorTy[]))),	(BV.equ_rr,             simpleOp(Op.EQ(DstTy.realTy))),
102	(BV.neq_bb,             simpleOp(Op.NEQ DstTy.BoolTy)),	(BV.neq_bb,             simpleOp(Op.NEQ DstTy.BoolTy)),
103	(BV.neq_ii,             simpleOp(Op.NEQ DstTy.IntTy)),	(BV.neq_ii,             simpleOp(Op.NEQ DstTy.IntTy)),
104	(BV.neq_ss,             simpleOp(Op.NEQ DstTy.StringTy)),	(BV.neq_ss,             simpleOp(Op.NEQ DstTy.StringTy)),
105	(BV.neq_rr,             simpleOp(Op.NEQ(DstTy.TensorTy[]))),	(BV.neq_rr,             simpleOp(Op.NEQ(DstTy.realTy))),
106	(BV.neg_i,              simpleOp(Op.Neg DstTy.IntTy)),	(BV.add_ii,             simpleOp Op.IAdd),
107	(BV.neg_t,              tensorOp Op.Neg),	(BV.add_tt,             fn (y, [shp], xs) => let
108	(BV.neg_f,              fn (y, _, xs) => assign(y, Op.NegField, xs)),	val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor shp
109	(BV.op_at,              fn (y, [_, dv, sv], xs) =>	val rator =mk.addTen(dd1)
110	assign(y, Op.Probe(shapeVarToTensor sv, dimVarToTensor dv), xs)),	in
111	(BV.op_convolve,        fn (y, _, xs) => assign(y, Op.Convolve, xs)),	[assignEin(y, rator,xs)]
112	(BV.op_D,               fn (y, _, xs) => assign(y, Op.DiffField, xs)),	end),
113	(BV.op_norm,            tensorOp Op.Norm),	(BV.add_ff,             fn (y, [_,Ty.DIM d, Ty.SHAPE dd], xs) =>
114		[assignEin(y, mk.addField(d, dd),xs)]),
115
116		(BV.add_fr,             fn (y, [_,Ty.DIM d], [f,s]) =>
117		[assignEin(y, mk.addTenField(d),[s,f])]),
118
119		(BV.add_rf,             fn (y, [_,Ty.DIM d], xs) =>
120		[assignEin(y, mk.addTenField(d),xs)]),
121
122
123		(BV.sub_ii,             simpleOp Op.ISub),
124		(BV.sub_tt,             fn (y, [shp], xs) => let
125		val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor shp
126		val rator =mk.subTen(dd1)
127		in
128		[assignEin(y, rator,xs)]
129		end),
130		(BV.sub_ff,             fn (y, [_,Ty.DIM d, Ty.SHAPE dd], xs) =>
131		[assignEin(y, mk.subField(d, dd),xs)]),
132
133
134		(BV.sub_fr,             fn (y, [_,Ty.DIM d], xs) =>
135		[assignEin(y, mk.subFieldTen(d),xs)]),
136
137		(BV.sub_rf,             fn (y, [_,Ty.DIM d], xs) =>
138		[assignEin(y, mk.subTenField(d),xs)]),
139
140		(BV.mul_ii,             simpleOp Op.IMul),
141		(BV.mul_rr,             fn (y,_,args) => [assignEin(y, mk.prodScalar,args)]),
142		(BV.mul_rt,             fn (y, [shp], xs) => let
143		val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor shp
144		val rator =mk.scaleTen(dd1)
145		in
146		[assignEin(y, rator,xs)]
147		end),
148		(BV.mul_tr,             fn (y, [shp], [t, r]) => let
149		val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor shp
150		val rator = mk.scaleTen dd1
151		in
152		[assignEin(y, rator,[r,t])]
153		end),
154		(BV.mul_rf,             fn (y, [_,Ty.DIM d, Ty.SHAPE dd], xs) =>
155		[assignEin(y, mk.scaleField(d, dd),xs)]),
156		(BV.mul_fr,             fn (y, [_,Ty.DIM d, Ty.SHAPE dd], [f, s]) =>
157		[assignEin(y, mk.scaleField(d, dd),[s,f])]),
158		(*MARK-mul_ff*)
159		(BV.mul_ss,             fn (y, [_,Ty.DIM d], xs) =>
160		[assignEin(y, mk.mulFieldss d,xs)]),
161		(BV.mul_sf,             fn (y, [_,Ty.DIM d, Ty.SHAPE dd], xs) =>
162		[assignEin(y, mk.mulFieldsf(d,dd),xs)]),
163		(BV.mul_fs,             fn (y, [_,Ty.DIM d, Ty.SHAPE dd], [f,s]) =>
164		[assignEin(y, mk.mulFieldsf(d,dd),[s,f])]),
165
166		(BV.div_ii,             simpleOp Op.IDiv),
167		(BV.div_rr,             fn (y,_,args) => [assignEin(y, mk.divScalar,args)]),
168		(BV.div_tr,             fn (y, [shp], xs) => let
169		val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor shp
170		val rator =mk.divTen(dd1)
171		in
172		[assignEin(y, rator,xs)]
173		end),
174		(BV.div_fr,             fn (y, [_,Ty.DIM d, Ty.SHAPE dd], xs) =>
175		[assignEin(y, mk.divideField(d, dd),xs)]),
176		(BV.exp_ri,             simpleOp(Op.Power)),
177		(BV.exp_rr,             basisFn MathFuns.pow),
178		(BV.curl2D,              simpleEOp mk.curl2d),
179		(BV.curl3D,              simpleEOp mk.curl3d),
180		(BV.convolve_vk,        fn (y, [_, Ty.DIM d,  Ty.SHAPE dd], xs) =>
181		[assignEin(y, mk.conv(d, dd),xs)]),
182		(BV.convolve_kv,        fn (y, [_, Ty.DIM d,  Ty.SHAPE dd], [k, v]) =>
183		[assignEin(y, mk.conv(d, dd),[v,k])]),
184		(BV.neg_i,              simpleOp Op.INeg),
185		(BV.neg_t,              fn (y, [shp], xs) => let
186		val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor shp
187		val rator =mk.negTen(dd1)
188		in
189		[assignEin(y, rator,xs)]
190		end),
191		(BV.neg_f,              fn (y, [_,Ty.DIM d, Ty.SHAPE dd], xs) =>
192		[assignEin(y, mk.negField(d, dd),xs)]),
193		(BV.op_probe,           fn (y, [_, Ty.DIM d, Ty.SHAPE dd], xs) =>
194		[assignEin(y, (mk.probe(dd,d)),xs)]),
195		(BV.op_D,               fn (y, [_, Ty.DIM d], xs) =>  [assignEin(y, mk.grad([d]),xs)]),
196
197		(BV.op_Dotimes,         fn (y, [_, Ty.DIM d1, Ty.SHAPE dd, Ty.DIM d2], xs) => let
198		val x= print (String.concat[" d1:",Int.toString(d1)," d2:",Int.toString(d2),
199		" shape:",Int.toString(length(dd)), "\n"])
200		val g=print "*******\n"
201		val gg2=print(Int.toString(length(xs)))
202		in
203		[assignEin(y, mk.dotimes(d1, dd@[d2]),xs)] end ),
204		(BV.op_Ddot,         fn (y, [_, Ty.DIM d1,  Ty.SHAPE dd, Ty.DIM d2], xs) =>
205		[assignEin(y, mk.divergence(d1, dd),xs)] ),
206
207
208		(BV.op_norm,            fn (y, [sv], xs) => (case shapeVarToTensor sv
209		of DstTy.TensorTy[] => assign(y, Op.Abs DstTy.realTy, xs)
210		| ty => assign(y, Op.Norm ty, xs)
211		(* end case *))),
212	(BV.op_not,             simpleOp Op.Not),	(BV.op_not,             simpleOp Op.Not),
213	(BV.fn_CL,              fn (y, _, xs) => assign(y, Op.CL, xs)),	(BV.op_cross,            simpleEOp mk.crossProduct),
214	(BV.fn_convolve,        fn (y, _, [h, img]) => assign(y, Op.Convolve, [img, h])),	(BV.op_crossField,       simpleEOp mk.crossProductField),
215	(BV.fn_cos,             simpleOp Op.Cos),	(BV.op_outer,           fn (y, [Ty.DIM d1, Ty.DIM d2], xs) =>
216	(BV.fn_dot,             vectorOp Op.Dot),	[assignEin(y, (mk.outerProduct(d1, d2)), xs)]),
217	(BV.fn_inside,          fn (y, [_, dv, _], xs) =>	(* Any Shape fields
218	assign(y, Op.Inside(dimVarToTensor dv), xs)),	(BV.op_outerField,      fn (y, [_, Ty.DIM d1, Ty.SHAPE dd1, Ty.SHAPE dd2], xs)=>
219		[assignEin(y, mk.outerField(d1, dd1, dd2),   xs)]),
220		*)
221		(BV.op_outerField,      fn (y, [_, Ty.DIM d1], xs)=>
222		[assignEin(y, mk.outerField(d1),   xs)]),
223
224
225		(BV.op_inner,           fn (y, [sh1, sh2, _], xs) => let
226		val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor sh1
227		val ty2 as DstTy.TensorTy dd2 = shapeVarToTensor sh2
228		in
229		[assignEin(y, (mk.innerProduct(dd1,dd2)),xs)]
230		end),
231
232		(BV.op_innerField,           fn (y,  [_,Ty.SHAPE dd1,Ty.DIM d,Ty.SHAPE dd2,_], xs) =>
233		let
234		val  _=print(String.concat["Translate Inner product Field. "])
235		in
236		[assignEin(y, mk.innerProductField(dd1,d,dd2),xs)] end ),
237
238		(BV.op_colon,           fn (y, [sh1, sh2, _], xs) => let
239		val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor sh1
240		val ty2 as DstTy.TensorTy dd2 = shapeVarToTensor sh2
241		in
242		[assignEin(y, (mk.doubleDot(dd1,dd2)),xs)]
243		end),
244		(BV.fn_inside,          fn (y, [_, Ty.DIM d, _], xs) => assign(y, Op.Inside d, xs)),
245		(BV.clamp_rrr,          simpleOp (Op.Clamp DstTy.realTy)),
246		(BV.clamp_vvv,          vectorOp Op.Clamp),
247		(BV.lerp3,              tensorOp Op.Lerp),
248		(BV.lerp5,              fn (y, [sv], [a, b, x0, x, x1]) => let
249		val t1 = IL.Var.new("t1", DstTy.realTy)
250		val t2 = IL.Var.new("t2", DstTy.realTy)
251		val t3 = IL.Var.new("t3", DstTy.realTy)
252		in [
253		assignEin(t1, mk.subScalar,[x,x0]),
254		assignEin(t2, mk.subScalar,[x1,x0]),
255		assignEin(t3, mk.divScalar,[t1,t2]),
256		IL.ASSGN(y,  IL.OP(Op.Lerp(shapeVarToTensor sv), [a, b, t3]))
257		] end),
258		(BV.evals2x2,           eigenVal (Op.Eigen2x2, 2)),
259		(BV.evals3x3,           eigenVal (Op.Eigen3x3, 3)),
260		(BV.evecs2x2,           eigenVec (Op.Eigen2x2, 2)),
261		(BV.evecs3x3,           eigenVec (Op.Eigen3x3, 3)),
262	(BV.fn_max,             simpleOp Op.Max),	(BV.fn_max,             simpleOp Op.Max),
263	(BV.fn_min,             simpleOp Op.Min),	(BV.fn_min,             simpleOp Op.Min),
264	(BV.fn_modulate,        vectorOp Op.Mul),
265	(BV.fn_pow,             simpleOp Op.Pow),	(*  modulate is vector * vector pointwise multiplication *)
266		(BV.fn_modulate,        fn (y,[Ty.DIM dd1], xs) =>
267		[assignEin(y, (mk.modulate dd1),xs)]),
268		(BV.fn_normalize,       vectorOp Op.Normalize),
269	(BV.fn_principleEvec,   vectorOp Op.PrincipleEvec),	(BV.fn_principleEvec,   vectorOp Op.PrincipleEvec),
270	(BV.fn_sin,             simpleOp Op.Sin),	(BV.fn_trace,           fn (y, [Ty.DIM d], xs) =>
271		[assignEin(y,(mk.trace d), xs)]),
272		(BV.fn_traceField,           fn (y, [_,Ty.DIM d,Ty.SHAPE dd], xs) =>
273		[assignEin(y,mk.traceField(d,dd), xs)]),
274
275		(BV.fn_transpose,       fn (y, [Ty.DIM d1, Ty.DIM d2], xs) =>
276		[assignEin(y, (mk.transpose [d1,d2]), xs)]),
277
278		(BV.fn_transposeField,  fn (y, [_,Ty.DIM d1, Ty.DIM d2,Ty.DIM d3], xs) =>
279		[assignEin(y, (mk.transposeField (d1,d2,d3)), xs)]),
280
281	(BV.kn_bspln3,          kernel Kernel.bspln3),	(BV.kn_bspln3,          kernel Kernel.bspln3),
282	(BV.kn_bspln5,          kernel Kernel.bspln5),	(BV.kn_bspln5,          kernel Kernel.bspln5),
283	(BV.kn_ctmr,            kernel Kernel.ctmr),	(BV.kn_ctmr,            kernel Kernel.ctmr),
284		(BV.kn_c2ctmr,          kernel Kernel.ctmr),
285		(BV.kn_c4hexic,         kernel Kernel.c4hexic),
286	(BV.kn_tent,            kernel Kernel.tent),	(BV.kn_tent,            kernel Kernel.tent),
287	(BV.i2r,                simpleOp Op.IntToReal)	(BV.kn_c1tent,          kernel Kernel.tent),
288		(BV.i2r,                simpleOp Op.IntToReal),
289		(BV.identity,           fn (y, [Ty.DIM d], xs) =>
290		[assignEin(y, (mk.identity d), xs)]),
291		(*   (BV.zero,               fn (y, [sv], []) =>
292		assign(y, Op.Zero(shapeVarToTensor sv), [])),*)
293		(BV.subscript,          fn (y, [ty, Ty.DIM d], xs) =>
294		assign (y, Op.SeqSub(DstTy.SeqTy(trType ty, d)), xs))
295		(*,
296		(BV.dynSubscript,     fn (y, [tv], args) =>
297		assign(y, Op.SeqSub(DstTy.DynSeqTy(pruneTy tv)), args))
298		*)
299	];	];
300		(* add C math functions *)
301		List.app (fn (n, x) => insert(x, basisFn n)) BV.mathFns;
302	tbl	tbl
303	end	end
304
#	Line 115	Line 306
306	of SOME transFn => transFn(y, mvs, xs)	of SOME transFn => transFn(y, mvs, xs)
307	| NONE => raise Fail("TranslateBasis.translate: unknown basis function " ^ Var.uniqueNameOf f)	| NONE => raise Fail("TranslateBasis.translate: unknown basis function " ^ Var.uniqueNameOf f)
308	(* end case *))	(* end case *))
309		handle ex => (print(concat["translate (", IL.Var.toString y, ", ",
310		Var.uniqueNameOf f, ", ...)\n"]); raise ex)
311
312	end	end

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Legend: Removed from v.407   changed lines   Added in v.2603

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