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glsl: Generate code for constant ir_binop_dot expressions

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v2: 'for (a, b) in d' => 'for a, b in d'.  Suggested by Dylan.

Signed-off-by: Ian Romanick <ian.d.romanick@intel.com>
Reviewed-by: Matt Turner <mattst88@gmail.com>
Acked-by: Dylan Baker <dylan@pnwbakers.com>
This commit is contained in:
Ian Romanick 2016-07-12 12:30:04 -07:00
parent 13106e1041
commit da61c94db8
1 changed files with 18 additions and 1 deletions
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19
src/compiler/glsl/ir_expression_operation.py
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@ -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),