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[diderot] Annotation of /branches/charisee/src/compiler/translate/translate-basis.sml
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Annotation of /branches/charisee/src/compiler/translate/translate-basis.sml

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1 : jhr 180 (* translate-basis.sml
2 :     *
3 : jhr 435 * COPYRIGHT (c) 2010 The Diderot Project (http://diderot-language.cs.uchicago.edu)
4 : jhr 180 * All rights reserved.
5 :     *
6 :     * Translation for basis operations in Simple AST to HighIL code
7 :     *)
8 :    
9 :     structure TranslateBasis : sig
10 :    
11 : jhr 189 (* translate(lhs, f, mvs, args) translates the application of f (specialized
12 :     * to the instantiated meta variables mvs) to a list of SSA assignments in
13 :     * reverse order.
14 :     *)
15 : jhr 2490 val translate : (HighIL.var * Var.var * SimpleTypes.meta_arg list * HighIL.var list)
16 : jhr 2356 -> HighIL.assignment list
17 : jhr 180
18 :     end = struct
19 :    
20 : jhr 194 structure BV = BasisVars
21 : jhr 180 structure IL = HighIL
22 : jhr 392 structure DstTy = HighILTypes
23 : jhr 180 structure Op = HighOps
24 : jhr 2490 structure Ty = SimpleTypes
25 : jhr 194 structure VTbl = Var.Tbl
26 : cchiw 2383
27 : cchiw 2499 structure mk= mkOperators
28 :    
29 : jhr 2490 fun trType (Ty.TY ty) = TranslateTy.tr ty
30 :     | trType _ = raise Fail "expected type"
31 :     fun dimVarToInt (Ty.DIM d) = d
32 :     | dimVarToInt _ = raise Fail "expected dim"
33 : jhr 2358 fun dimVarToTensor dv = DstTy.tensorTy[dimVarToInt dv]
34 : jhr 1116 fun dimVarToMatrix dv = let
35 : jhr 2358 val d = dimVarToInt dv
36 : jhr 2356 in
37 :     DstTy.tensorTy[d, d] (* square matrix type *)
38 :     end
39 : jhr 2490 fun shapeVarToTensor (Ty.SHAPE shp) = DstTy.tensorTy shp
40 :     | shapeVarToTensor _ = raise Fail "expected shape"
41 : jhr 197
42 : jhr 1640 fun assign (y, rator, xs) = [IL.ASSGN(y, IL.OP(rator, xs))]
43 : jhr 407
44 : jhr 1640 fun basisFn name (y, [], xs) = [IL.ASSGN(y, IL.APPLY(name, xs))]
45 : jhr 1116
46 : jhr 407 fun simpleOp rator (y, [], xs) = assign (y, rator, xs)
47 :    
48 :     fun tensorOp rator (y, [sv], xs) = assign (y, rator(shapeVarToTensor sv), xs)
49 :    
50 :     fun vectorOp rator (y, [dv], xs) = assign (y, rator(dimVarToTensor dv), xs)
51 :    
52 : jhr 1116 fun kernel h (y, [], []) = assign(y, Op.Kernel(h, 0), [])
53 : jhr 197
54 : jhr 1640 (* 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 : cchiw 2496 fun assignEin (y, rator, xs) = IL.ASSGN(y, IL.EINAPP(rator, xs))
75 : cchiw 2382
76 : cchiw 2499 fun simpleEOp rator (y, _,xs) = [assignEin(y, rator, xs)]
77 : cchiw 2485
78 : cchiw 2414
79 : cchiw 2447
80 :    
81 : cchiw 2414
82 :     (* shape is an int list, DIM is in int|variable, k-level of differntiation *)
83 :    
84 : cchiw 2412 (* build a table that maps Basis variables to their translation functions *)
85 : jhr 2490 val tbl : ((IL.var * Ty.meta_arg list * IL.var list) -> IL.assignment list) VTbl.hash_table = let
86 : jhr 2356 val tbl = VTbl.mkTable (128, Fail "Translate table")
87 :     val insert = VTbl.insert tbl
88 :     in
89 :     List.app insert [
90 :     (BV.lt_ii, simpleOp(Op.LT DstTy.IntTy)),
91 :     (BV.lt_rr, simpleOp(Op.LT DstTy.realTy)),
92 :     (BV.lte_ii, simpleOp(Op.LTE DstTy.IntTy)),
93 :     (BV.lte_rr, simpleOp(Op.LTE DstTy.realTy)),
94 :     (BV.gte_ii, simpleOp(Op.GTE DstTy.IntTy)),
95 :     (BV.gte_rr, simpleOp(Op.GTE(DstTy.realTy))),
96 :     (BV.gt_ii, simpleOp(Op.GT DstTy.IntTy)),
97 :     (BV.gt_rr, simpleOp(Op.GT(DstTy.realTy))),
98 :     (BV.equ_bb, simpleOp(Op.EQ DstTy.BoolTy)),
99 :     (BV.equ_ii, simpleOp(Op.EQ DstTy.IntTy)),
100 :     (BV.equ_ss, simpleOp(Op.EQ DstTy.StringTy)),
101 :     (BV.equ_rr, simpleOp(Op.EQ(DstTy.realTy))),
102 :     (BV.neq_bb, simpleOp(Op.NEQ DstTy.BoolTy)),
103 :     (BV.neq_ii, simpleOp(Op.NEQ DstTy.IntTy)),
104 :     (BV.neq_ss, simpleOp(Op.NEQ DstTy.StringTy)),
105 :     (BV.neq_rr, simpleOp(Op.NEQ(DstTy.realTy))),
106 : jhr 2492 (BV.add_ii, simpleOp Op.IAdd),
107 : cchiw 2499 (BV.add_tt, fn (y, [shp], xs) => let
108 :     val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor shp
109 :     val rator =mk.addTen(dd1)
110 :     in
111 :     [assignEin(y, rator,xs)]
112 :     end),
113 : cchiw 2496 (BV.add_ff, fn (y, [_,Ty.DIM d, Ty.SHAPE dd], xs) =>
114 : cchiw 2499 [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 : jhr 2492 (BV.sub_ii, simpleOp Op.ISub),
124 : cchiw 2499 (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 : cchiw 2496 (BV.sub_ff, fn (y, [_,Ty.DIM d, Ty.SHAPE dd], xs) =>
131 : cchiw 2499 [assignEin(y, mk.subField(d, dd),xs)]),
132 :    
133 :    
134 : cchiw 2496 (BV.sub_fr, fn (y, [_,Ty.DIM d], xs) =>
135 : cchiw 2499 [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 : cchiw 2447 (BV.mul_ii, simpleOp Op.IMul),
141 : cchiw 2499 (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 : jhr 2492 (BV.mul_tr, fn (y, [shp], [t, r]) => let
149 :     val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor shp
150 : cchiw 2499 val rator = mk.scaleTen dd1
151 : jhr 2492 in
152 : cchiw 2496 [assignEin(y, rator,[r,t])]
153 : jhr 2492 end),
154 : cchiw 2496 (BV.mul_rf, fn (y, [_,Ty.DIM d, Ty.SHAPE dd], xs) =>
155 : cchiw 2499 [assignEin(y, mk.scaleField(d, dd),xs)]),
156 : cchiw 2496 (BV.mul_fr, fn (y, [_,Ty.DIM d, Ty.SHAPE dd], [f, s]) =>
157 : cchiw 2499 [assignEin(y, mk.scaleField(d, dd),[s,f])]),
158 : cchiw 2576 (*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 : cchiw 2447 (BV.div_ii, simpleOp Op.IDiv),
167 : cchiw 2499 (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 : cchiw 2445 (BV.exp_ri, simpleOp(Op.Power)),
177 :     (BV.exp_rr, basisFn MathFuns.pow),
178 : cchiw 2499 (BV.curl2D, simpleEOp mk.curl2d),
179 :     (BV.curl3D, simpleEOp mk.curl3d),
180 : cchiw 2496 (BV.convolve_vk, fn (y, [_, Ty.DIM d, Ty.SHAPE dd], xs) =>
181 : cchiw 2499 [assignEin(y, mk.conv(d, dd),xs)]),
182 : cchiw 2496 (BV.convolve_kv, fn (y, [_, Ty.DIM d, Ty.SHAPE dd], [k, v]) =>
183 : cchiw 2499 [assignEin(y, mk.conv(d, dd),[v,k])]),
184 : cchiw 2447 (BV.neg_i, simpleOp Op.INeg),
185 : cchiw 2499 (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 : cchiw 2510 [assignEin(y, (mk.probe(dd,d)),xs)]),
195 : cchiw 2499 (BV.op_D, fn (y, [_, Ty.DIM d], xs) => [assignEin(y, mk.grad([d]),xs)]),
196 : cchiw 2510
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 : cchiw 2509 " shape:",Int.toString(length(dd)), "\n"])
200 : cchiw 2525 val g=print "*******\n"
201 :     val gg2=print(Int.toString(length(xs)))
202 : cchiw 2515 in
203 :     [assignEin(y, mk.dotimes(d1, dd@[d2]),xs)] end ),
204 : cchiw 2585 (BV.op_Ddot, fn (y, [_, Ty.DIM d1, Ty.SHAPE dd, Ty.DIM d2], xs) =>
205 :     [assignEin(y, mk.divergence(d1, dd),xs)] ),
206 : cchiw 2506
207 :    
208 : jhr 2356 (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 : jhr 2492 (BV.op_not, simpleOp Op.Not),
213 : cchiw 2499 (BV.op_cross, simpleEOp mk.crossProduct),
214 :     (BV.op_outer, fn (y, [Ty.DIM d1, Ty.DIM d2], xs) =>
215 : cchiw 2585 [assignEin(y, (mk.outerProduct(d1, d2)), xs)]),
216 :     (* Any Shape fields
217 :     (BV.op_outerField, fn (y, [_, Ty.DIM d1, Ty.SHAPE dd1, Ty.SHAPE dd2], xs)=>
218 :     [assignEin(y, mk.outerField(d1, dd1, dd2), xs)]),
219 :     *)
220 :     (BV.op_outerField, fn (y, [_, Ty.DIM d1], xs)=>
221 :     [assignEin(y, mk.outerField(d1), xs)]),
222 :    
223 :    
224 : cchiw 2499 (BV.op_inner, fn (y, [sh1, sh2, _], xs) => let
225 :     val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor sh1
226 :     val ty2 as DstTy.TensorTy dd2 = shapeVarToTensor sh2
227 :     in
228 :     [assignEin(y, (mk.innerProduct(dd1,dd2)),xs)]
229 :     end),
230 : cchiw 2584
231 : cchiw 2585 (BV.op_innerField, fn (y, [_,Ty.SHAPE dd1,Ty.DIM d,Ty.SHAPE dd2,_], xs) =>
232 :     let
233 :     val _=print(String.concat["Translate Inner product Field. "])
234 :     in
235 :     [assignEin(y, mk.innerProductField(dd1,d,dd2),xs)] end ),
236 : cchiw 2584
237 : jhr 2492 (BV.op_colon, fn (y, [sh1, sh2, _], xs) => let
238 : cchiw 2499 val ty1 as DstTy.TensorTy dd1 = shapeVarToTensor sh1
239 :     val ty2 as DstTy.TensorTy dd2 = shapeVarToTensor sh2
240 :     in
241 :     [assignEin(y, (mk.doubleDot(dd1,dd2)),xs)]
242 :     end),
243 : jhr 2492 (BV.fn_inside, fn (y, [_, Ty.DIM d, _], xs) => assign(y, Op.Inside d, xs)),
244 : jhr 2356 (BV.clamp_rrr, simpleOp (Op.Clamp DstTy.realTy)),
245 :     (BV.clamp_vvv, vectorOp Op.Clamp),
246 :     (BV.lerp3, tensorOp Op.Lerp),
247 : cchiw 2499 (BV.lerp5, fn (y, [sv], [a, b, x0, x, x1]) => let
248 : jhr 2356 val t1 = IL.Var.new("t1", DstTy.realTy)
249 :     val t2 = IL.Var.new("t2", DstTy.realTy)
250 :     val t3 = IL.Var.new("t3", DstTy.realTy)
251 :     in [
252 : cchiw 2499 assignEin(t1, mk.subScalar,[x,x0]),
253 :     assignEin(t2, mk.subScalar,[x1,x0]),
254 :     assignEin(t3, mk.divScalar,[t1,t2]),
255 : jhr 2356 IL.ASSGN(y, IL.OP(Op.Lerp(shapeVarToTensor sv), [a, b, t3]))
256 :     ] end),
257 :     (BV.evals2x2, eigenVal (Op.Eigen2x2, 2)),
258 :     (BV.evals3x3, eigenVal (Op.Eigen3x3, 3)),
259 :     (BV.evecs2x2, eigenVec (Op.Eigen2x2, 2)),
260 :     (BV.evecs3x3, eigenVec (Op.Eigen3x3, 3)),
261 :     (BV.fn_max, simpleOp Op.Max),
262 :     (BV.fn_min, simpleOp Op.Min),
263 : cchiw 2496
264 :     (* modulate is vector * vector pointwise multiplication *)
265 : cchiw 2499 (BV.fn_modulate, fn (y,[Ty.DIM dd1], xs) =>
266 :     [assignEin(y, (mk.modulate dd1),xs)]),
267 : jhr 2356 (BV.fn_normalize, vectorOp Op.Normalize),
268 :     (BV.fn_principleEvec, vectorOp Op.PrincipleEvec),
269 : jhr 2492 (BV.fn_trace, fn (y, [Ty.DIM d], xs) =>
270 : cchiw 2499 [assignEin(y,(mk.trace d), xs)]),
271 : jhr 2492 (BV.fn_transpose, fn (y, [Ty.DIM d1, Ty.DIM d2], xs) =>
272 : cchiw 2499 [assignEin(y, (mk.transpose [d1,d2]), xs)]),
273 : jhr 2356 (BV.kn_bspln3, kernel Kernel.bspln3),
274 :     (BV.kn_bspln5, kernel Kernel.bspln5),
275 :     (BV.kn_ctmr, kernel Kernel.ctmr),
276 :     (BV.kn_c2ctmr, kernel Kernel.ctmr),
277 : jhr 2358 (BV.kn_c4hexic, kernel Kernel.c4hexic),
278 : jhr 2356 (BV.kn_tent, kernel Kernel.tent),
279 :     (BV.kn_c1tent, kernel Kernel.tent),
280 :     (BV.i2r, simpleOp Op.IntToReal),
281 : cchiw 2496 (BV.identity, fn (y, [Ty.DIM d], xs) =>
282 : cchiw 2502 [assignEin(y, (mk.identity d), xs)]),
283 : cchiw 2447 (* (BV.zero, fn (y, [sv], []) =>
284 :     assign(y, Op.Zero(shapeVarToTensor sv), [])),*)
285 : jhr 2492 (BV.subscript, fn (y, [ty, Ty.DIM d], xs) =>
286 :     assign (y, Op.SeqSub(DstTy.SeqTy(trType ty, d)), xs))
287 : jhr 2490 (*,
288 :     (BV.dynSubscript, fn (y, [tv], args) =>
289 :     assign(y, Op.SeqSub(DstTy.DynSeqTy(pruneTy tv)), args))
290 :     *)
291 : cchiw 2388 ];
292 : jhr 2356 (* add C math functions *)
293 :     List.app (fn (n, x) => insert(x, basisFn n)) BV.mathFns;
294 :     tbl
295 :     end
296 : jhr 180
297 : jhr 194 fun translate (y, f, mvs, xs) = (case VTbl.find tbl f
298 : jhr 2356 of SOME transFn => transFn(y, mvs, xs)
299 :     | NONE => raise Fail("TranslateBasis.translate: unknown basis function " ^ Var.uniqueNameOf f)
300 :     (* end case *))
301 : jhr 1116 handle ex => (print(concat["translate (", IL.Var.toString y, ", ",
302 :     Var.uniqueNameOf f, ", ...)\n"]); raise ex)
303 : jhr 180
304 :     end

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