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-rw-r--r--src/compiler/glsl/ir_expression_operation.py19
1 files changed, 18 insertions, 1 deletions
diff --git a/src/compiler/glsl/ir_expression_operation.py b/src/compiler/glsl/ir_expression_operation.py
index 1cb9734406e..9d4d59e8e39 100644
--- a/src/compiler/glsl/ir_expression_operation.py
+++ b/src/compiler/glsl/ir_expression_operation.py
@@ -205,6 +205,21 @@ constant_template_horizontal_nonassignment = mako.template.Template("""\
${op.c_expression['default']};
break;""")
+# This template is for binary operations that are horizontal. That is, the
+# operation consumes a vector and produces a scalar.
+constant_template_horizontal = mako.template.Template("""\
+ case ${op.get_enum_name()}:
+ switch (op[0]->type->base_type) {
+ % for dst_type, src_types in op.signatures():
+ case ${src_types[0].glsl_type}:
+ data.${dst_type.union_field}[0] = ${op.get_c_expression(src_types)};
+ break;
+ % endfor
+ default:
+ assert(0);
+ }
+ break;""")
+
vector_scalar_operation = "vector-scalar"
horizontal_operation = "horizontal"
@@ -274,6 +289,8 @@ class operation(object):
return constant_template_vector_scalar.render(op=self)
elif horizontal_operation in self.flags and types_identical_operation in self.flags:
return constant_template_horizontal_single_implementation.render(op=self)
+ elif horizontal_operation in self.flags:
+ return constant_template_horizontal.render(op=self)
elif len(self.source_types) == 1:
return constant_template0.render(op=self)
elif self.dest_type is not None:
@@ -478,7 +495,7 @@ ir_expression_operation = [
operation("logic_xor", 2, printable_name="^^", source_types=(bool_type,), c_expression="{src0} != {src1}"),
operation("logic_or", 2, printable_name="||", source_types=(bool_type,), c_expression="{src0} || {src1}"),
- operation("dot", 2),
+ operation("dot", 2, source_types=real_types, c_expression={'f': "dot_f(op[0], op[1])", 'd': "dot_d(op[0], op[1])"}, flags=horizontal_operation),
operation("min", 2, source_types=numeric_types, c_expression="MIN2({src0}, {src1})", flags=vector_scalar_operation),
operation("max", 2, source_types=numeric_types, c_expression="MAX2({src0}, {src1})", flags=vector_scalar_operation),