xserver and mesa git update 28-12-2010

1 files changed, 490 insertions, 0 deletions

diff --git a/mesalib/src/glsl/lower_mat_op_to_vec.cpp b/mesalib/src/glsl/lower_mat_op_to_vec.cpp
new file mode 100644
index 000000000..d61d94443
--- /dev/null
+++ b/mesalib/src/glsl/lower_mat_op_to_vec.cpp
@@ -0,0 +1,490 @@
+/*

+ * 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;

+}