summaryrefslogtreecommitdiff
path: root/src/glsl/lower_mat_op_to_vec.cpp
blob: 7065fdec35f6bd259b8f68315385fcd958930013 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
/*
 * Copyright © 2010 Intel Corporation
 *
 * Permission is hereby granted, free of charge, to any person obtaining a
 * copy of this software and associated documentation files (the "Software"),
 * to deal in the Software without restriction, including without limitation
 * the rights to use, copy, modify, merge, publish, distribute, sublicense,
 * and/or sell copies of the Software, and to permit persons to whom the
 * Software is furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice (including the next
 * paragraph) shall be included in all copies or substantial portions of the
 * Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
 * THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
 * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
 * DEALINGS IN THE SOFTWARE.
 */

/**
 * \file lower_mat_op_to_vec.cpp
 *
 * Breaks matrix operation expressions down to a series of vector operations.
 *
 * Generally this is how we have to codegen matrix operations for a
 * GPU, so this gives us the chance to constant fold operations on a
 * column or row.
 */

#include "ir.h"
#include "ir_expression_flattening.h"
#include "glsl_types.h"

class ir_mat_op_to_vec_visitor : public ir_hierarchical_visitor {
public:
   ir_mat_op_to_vec_visitor()
   {
      this->made_progress = false;
      this->mem_ctx = NULL;
   }

   ir_visitor_status visit_leave(ir_assignment *);

   ir_dereference *get_column(ir_variable *var, int col);
   ir_rvalue *get_element(ir_variable *var, int col, int row);

   void do_mul_mat_mat(ir_variable *result_var,
		       ir_variable *a_var, ir_variable *b_var);
   void do_mul_mat_vec(ir_variable *result_var,
		       ir_variable *a_var, ir_variable *b_var);
   void do_mul_vec_mat(ir_variable *result_var,
		       ir_variable *a_var, ir_variable *b_var);
   void do_mul_mat_scalar(ir_variable *result_var,
			  ir_variable *a_var, ir_variable *b_var);
   void do_equal_mat_mat(ir_variable *result_var, ir_variable *a_var,
			 ir_variable *b_var, bool test_equal);

   void *mem_ctx;
   bool made_progress;
};

static bool
mat_op_to_vec_predicate(ir_instruction *ir)
{
   ir_expression *expr = ir->as_expression();
   unsigned int i;

   if (!expr)
      return false;

   for (i = 0; i < expr->get_num_operands(); i++) {
      if (expr->operands[i]->type->is_matrix())
	 return true;
   }

   return false;
}

bool
do_mat_op_to_vec(exec_list *instructions)
{
   ir_mat_op_to_vec_visitor v;

   /* Pull out any matrix expression to a separate assignment to a
    * temp.  This will make our handling of the breakdown to
    * operations on the matrix's vector components much easier.
    */
   do_expression_flattening(instructions, mat_op_to_vec_predicate);

   visit_list_elements(&v, instructions);

   return v.made_progress;
}

ir_rvalue *
ir_mat_op_to_vec_visitor::get_element(ir_variable *var, int col, int row)
{
   ir_dereference *deref;

   deref = new(mem_ctx) ir_dereference_variable(var);

   if (var->type->is_matrix()) {
      deref = new(mem_ctx) ir_dereference_array(var,
						new(mem_ctx) ir_constant(col));
   } else {
      assert(col == 0);
   }

   return new(mem_ctx) ir_swizzle(deref, row, 0, 0, 0, 1);
}

ir_dereference *
ir_mat_op_to_vec_visitor::get_column(ir_variable *var, int row)
{
   ir_dereference *deref;

   if (!var->type->is_matrix()) {
      deref = new(mem_ctx) ir_dereference_variable(var);
   } else {
      deref = new(mem_ctx) ir_dereference_variable(var);
      deref = new(mem_ctx) ir_dereference_array(deref,
						new(mem_ctx) ir_constant(row));
   }

   return deref;
}

void
ir_mat_op_to_vec_visitor::do_mul_mat_mat(ir_variable *result_var,
					 ir_variable *a_var,
					 ir_variable *b_var)
{
   int b_col, i;
   ir_assignment *assign;
   ir_expression *expr;

   for (b_col = 0; b_col < b_var->type->matrix_columns; b_col++) {
      ir_rvalue *a = get_column(a_var, 0);
      ir_rvalue *b = get_element(b_var, b_col, 0);

      /* first column */
      expr = new(mem_ctx) ir_expression(ir_binop_mul,
					a->type,
					a,
					b);

      /* following columns */
      for (i = 1; i < a_var->type->matrix_columns; i++) {
	 ir_expression *mul_expr;

	 a = get_column(a_var, i);
	 b = get_element(b_var, b_col, i);

	 mul_expr = new(mem_ctx) ir_expression(ir_binop_mul,
					       a->type,
					       a,
					       b);
	 expr = new(mem_ctx) ir_expression(ir_binop_add,
					   a->type,
					   expr,
					   mul_expr);
      }

      ir_rvalue *result = get_column(result_var, b_col);
      assign = new(mem_ctx) ir_assignment(result,
					  expr,
					  NULL);
      base_ir->insert_before(assign);
   }
}

void
ir_mat_op_to_vec_visitor::do_mul_mat_vec(ir_variable *result_var,
					 ir_variable *a_var,
					 ir_variable *b_var)
{
   int i;
   ir_rvalue *a = get_column(a_var, 0);
   ir_rvalue *b = get_element(b_var, 0, 0);
   ir_assignment *assign;
   ir_expression *expr;

   /* first column */
   expr = new(mem_ctx) ir_expression(ir_binop_mul,
				     result_var->type,
				     a,
				     b);

   /* following columns */
   for (i = 1; i < a_var->type->matrix_columns; i++) {
      ir_expression *mul_expr;

      a = get_column(a_var, i);
      b = get_element(b_var, 0, i);

      mul_expr = new(mem_ctx) ir_expression(ir_binop_mul,
					    result_var->type,
					    a,
					    b);
      expr = new(mem_ctx) ir_expression(ir_binop_add,
					result_var->type,
					expr,
					mul_expr);
   }

   ir_rvalue *result = new(mem_ctx) ir_dereference_variable(result_var);
   assign = new(mem_ctx) ir_assignment(result,
				       expr,
				       NULL);
   base_ir->insert_before(assign);
}

void
ir_mat_op_to_vec_visitor::do_mul_vec_mat(ir_variable *result_var,
					 ir_variable *a_var,
					 ir_variable *b_var)
{
   int i;

   for (i = 0; i < b_var->type->matrix_columns; i++) {
      ir_rvalue *a = new(mem_ctx) ir_dereference_variable(a_var);
      ir_rvalue *b = get_column(b_var, i);
      ir_rvalue *result;
      ir_expression *column_expr;
      ir_assignment *column_assign;

      result = new(mem_ctx) ir_dereference_variable(result_var);
      result = new(mem_ctx) ir_swizzle(result, i, 0, 0, 0, 1);

      column_expr = new(mem_ctx) ir_expression(ir_binop_dot,
					       result->type,
					       a,
					       b);

      column_assign = new(mem_ctx) ir_assignment(result,
						 column_expr,
						 NULL);
      base_ir->insert_before(column_assign);
   }
}

void
ir_mat_op_to_vec_visitor::do_mul_mat_scalar(ir_variable *result_var,
					    ir_variable *a_var,
					    ir_variable *b_var)
{
   int i;

   for (i = 0; i < a_var->type->matrix_columns; i++) {
      ir_rvalue *a = get_column(a_var, i);
      ir_rvalue *b = new(mem_ctx) ir_dereference_variable(b_var);
      ir_rvalue *result = get_column(result_var, i);
      ir_expression *column_expr;
      ir_assignment *column_assign;

      column_expr = new(mem_ctx) ir_expression(ir_binop_mul,
					       result->type,
					       a,
					       b);

      column_assign = new(mem_ctx) ir_assignment(result,
						 column_expr,
						 NULL);
      base_ir->insert_before(column_assign);
   }
}

void
ir_mat_op_to_vec_visitor::do_equal_mat_mat(ir_variable *result_var,
					   ir_variable *a_var,
					   ir_variable *b_var,
					   bool test_equal)
{
   /* This essentially implements the following GLSL:
    *
    * bool equal(mat4 a, mat4 b)
    * {
    *   return !any(bvec4(a[0] != b[0],
    *                     a[1] != b[1],
    *                     a[2] != b[2],
    *                     a[3] != b[3]);
    * }
    *
    * bool nequal(mat4 a, mat4 b)
    * {
    *   return any(bvec4(a[0] != b[0],
    *                    a[1] != b[1],
    *                    a[2] != b[2],
    *                    a[3] != b[3]);
    * }
    */
   const unsigned columns = a_var->type->matrix_columns;
   const glsl_type *const bvec_type =
      glsl_type::get_instance(GLSL_TYPE_BOOL, columns, 1);

   ir_variable *const tmp_bvec =
      new(this->mem_ctx) ir_variable(bvec_type, "mat_cmp_bvec",
				     ir_var_temporary);
   this->base_ir->insert_before(tmp_bvec);

   for (unsigned i = 0; i < columns; i++) {
      ir_dereference *const op0 = get_column(a_var, i);
      ir_dereference *const op1 = get_column(b_var, i);

      ir_expression *const cmp =
	 new(this->mem_ctx) ir_expression(ir_binop_any_nequal,
					  glsl_type::bool_type, op0, op1);

      ir_dereference *const lhs =
	 new(this->mem_ctx) ir_dereference_variable(tmp_bvec);

      ir_assignment *const assign =
	 new(this->mem_ctx) ir_assignment(lhs, cmp, NULL, (1U << i));

      this->base_ir->insert_before(assign);
   }

   ir_rvalue *const val =
      new(this->mem_ctx) ir_dereference_variable(tmp_bvec);

   ir_expression *any =
      new(this->mem_ctx) ir_expression(ir_unop_any, glsl_type::bool_type,
				       val, NULL);

   if (test_equal)
      any = new(this->mem_ctx) ir_expression(ir_unop_logic_not,
					     glsl_type::bool_type,
					     any, NULL);

   ir_rvalue *const result =
      new(this->mem_ctx) ir_dereference_variable(result_var);

   ir_assignment *const assign =
	 new(mem_ctx) ir_assignment(result, any, NULL);
   base_ir->insert_before(assign);
}

static bool
has_matrix_operand(const ir_expression *expr, unsigned &columns)
{
   for (unsigned i = 0; i < expr->get_num_operands(); i++) {
      if (expr->operands[i]->type->is_matrix()) {
	 columns = expr->operands[i]->type->matrix_columns;
	 return true;
      }
   }

   return false;
}


ir_visitor_status
ir_mat_op_to_vec_visitor::visit_leave(ir_assignment *orig_assign)
{
   ir_expression *orig_expr = orig_assign->rhs->as_expression();
   unsigned int i, matrix_columns = 1;
   ir_variable *op_var[2];

   if (!orig_expr)
      return visit_continue;

   if (!has_matrix_operand(orig_expr, matrix_columns))
      return visit_continue;

   assert(orig_expr->get_num_operands() <= 2);

   mem_ctx = talloc_parent(orig_assign);

   ir_dereference_variable *lhs_deref =
      orig_assign->lhs->as_dereference_variable();
   assert(lhs_deref);

   ir_variable *result_var = lhs_deref->var;

   /* Store the expression operands in temps so we can use them
    * multiple times.
    */
   for (i = 0; i < orig_expr->get_num_operands(); i++) {
      ir_assignment *assign;

      op_var[i] = new(mem_ctx) ir_variable(orig_expr->operands[i]->type,
					   "mat_op_to_vec",
					   ir_var_temporary);
      base_ir->insert_before(op_var[i]);

      lhs_deref = new(mem_ctx) ir_dereference_variable(op_var[i]);
      assign = new(mem_ctx) ir_assignment(lhs_deref,
					  orig_expr->operands[i],
					  NULL);
      base_ir->insert_before(assign);
   }

   /* OK, time to break down this matrix operation. */
   switch (orig_expr->operation) {
   case ir_unop_neg: {
      const unsigned mask = (1U << result_var->type->vector_elements) - 1;

      /* Apply the operation to each column.*/
      for (i = 0; i < matrix_columns; i++) {
	 ir_rvalue *op0 = get_column(op_var[0], i);
	 ir_dereference *result = get_column(result_var, i);
	 ir_expression *column_expr;
	 ir_assignment *column_assign;

	 column_expr = new(mem_ctx) ir_expression(orig_expr->operation,
						  result->type,
						  op0,
						  NULL);

	 column_assign = new(mem_ctx) ir_assignment(result,
						    column_expr,
						    NULL,
						    mask);
	 assert(column_assign->write_mask != 0);
	 base_ir->insert_before(column_assign);
      }
      break;
   }
   case ir_binop_add:
   case ir_binop_sub:
   case ir_binop_div:
   case ir_binop_mod: {
      const unsigned mask = (1U << result_var->type->vector_elements) - 1;

      /* For most operations, the matrix version is just going
       * column-wise through and applying the operation to each column
       * if available.
       */
      for (i = 0; i < matrix_columns; i++) {
	 ir_rvalue *op0 = get_column(op_var[0], i);
	 ir_rvalue *op1 = get_column(op_var[1], i);
	 ir_dereference *result = get_column(result_var, i);
	 ir_expression *column_expr;
	 ir_assignment *column_assign;

	 column_expr = new(mem_ctx) ir_expression(orig_expr->operation,
						  result->type,
						  op0,
						  op1);

	 column_assign = new(mem_ctx) ir_assignment(result,
						    column_expr,
						    NULL,
						    mask);
	 assert(column_assign->write_mask != 0);
	 base_ir->insert_before(column_assign);
      }
      break;
   }
   case ir_binop_mul:
      if (op_var[0]->type->is_matrix()) {
	 if (op_var[1]->type->is_matrix()) {
	    do_mul_mat_mat(result_var, op_var[0], op_var[1]);
	 } else if (op_var[1]->type->is_vector()) {
	    do_mul_mat_vec(result_var, op_var[0], op_var[1]);
	 } else {
	    assert(op_var[1]->type->is_scalar());
	    do_mul_mat_scalar(result_var, op_var[0], op_var[1]);
	 }
      } else {
	 assert(op_var[1]->type->is_matrix());
	 if (op_var[0]->type->is_vector()) {
	    do_mul_vec_mat(result_var, op_var[0], op_var[1]);
	 } else {
	    assert(op_var[0]->type->is_scalar());
	    do_mul_mat_scalar(result_var, op_var[1], op_var[0]);
	 }
      }
      break;

   case ir_binop_all_equal:
   case ir_binop_any_nequal:
      do_equal_mat_mat(result_var, op_var[1], op_var[0],
		       (orig_expr->operation == ir_binop_all_equal));
      break;

   default:
      printf("FINISHME: Handle matrix operation for %s\n",
	     orig_expr->operator_string());
      abort();
   }
   orig_assign->remove();
   this->made_progress = true;

   return visit_continue;
}