mesa/src/compiler/glsl/ir_expression_operation.py
Antonio Ospite ddf2aa3a4d build: avoid redefining unreachable() which is standard in C23
In the C23 standard unreachable() is now a predefined function-like
macro in <stddef.h>

See https://android.googlesource.com/platform/bionic/+/HEAD/docs/c23.md#is-now-a-predefined-function_like-macro-in

And this causes build errors when building for C23:

-----------------------------------------------------------------------
In file included from ../src/util/log.h:30,
                 from ../src/util/log.c:30:
../src/util/macros.h:123:9: warning: "unreachable" redefined
  123 | #define unreachable(str)    \
      |         ^~~~~~~~~~~
In file included from ../src/util/macros.h:31:
/usr/lib/gcc/x86_64-linux-gnu/14/include/stddef.h:456:9: note: this is the location of the previous definition
  456 | #define unreachable() (__builtin_unreachable ())
      |         ^~~~~~~~~~~
-----------------------------------------------------------------------

So don't redefine it with the same name, but use the name UNREACHABLE()
to also signify it's a macro.

Using a different name also makes sense because the behavior of the
macro was extending the one of __builtin_unreachable() anyway, and it
also had a different signature, accepting one argument, compared to the
standard unreachable() with no arguments.

This change improves the chances of building mesa with the C23 standard,
which for instance is the default in recent AOSP versions.

All the instances of the macro, including the definition, were updated
with the following command line:

  git grep -l '[^_]unreachable(' -- "src/**" | sort | uniq | \
  while read file; \
  do \
    sed -e 's/\([^_]\)unreachable(/\1UNREACHABLE(/g' -i "$file"; \
  done && \
  sed -e 's/#undef unreachable/#undef UNREACHABLE/g' -i src/intel/isl/isl_aux_info.c

Reviewed-by: Erik Faye-Lund <erik.faye-lund@collabora.com>
Part-of: <https://gitlab.freedesktop.org/mesa/mesa/-/merge_requests/36437>
2025-07-31 17:49:42 +00:00

865 lines
46 KiB
Python

#
# Copyright (C) 2015 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.
import mako.template
import sys
import itertools
class type(object):
def __init__(self, c_type, union_field, glsl_type):
self.c_type = c_type
self.union_field = union_field
self.glsl_type = glsl_type
class type_signature_iter(object):
"""Basic iterator for a set of type signatures. Various kinds of sequences of
types come in, and an iteration of type_signature objects come out.
"""
def __init__(self, source_types, num_operands):
"""Initialize an iterator from a sequence of input types and a number
operands. This is for signatures where all the operands have the same
type and the result type of the operation is the same as the input type.
"""
self.dest_type = None
self.source_types = source_types
self.num_operands = num_operands
self.i = 0
def __init__(self, dest_type, source_types, num_operands):
"""Initialize an iterator from a result tpye, a sequence of input types and a
number operands. This is for signatures where all the operands have the
same type but the result type of the operation is different from the
input type.
"""
self.dest_type = dest_type
self.source_types = source_types
self.num_operands = num_operands
self.i = 0
def __iter__(self):
return self
def __next__(self):
if self.i < len(self.source_types):
i = self.i
self.i += 1
if self.dest_type is None:
dest_type = self.source_types[i]
else:
dest_type = self.dest_type
return (dest_type, self.num_operands * (self.source_types[i],))
else:
raise StopIteration()
next = __next__
uint_type = type("unsigned", "u", "GLSL_TYPE_UINT")
int_type = type("int", "i", "GLSL_TYPE_INT")
uint64_type = type("uint64_t", "u64", "GLSL_TYPE_UINT64")
int64_type = type("int64_t", "i64", "GLSL_TYPE_INT64")
float_type = type("float", "f", "GLSL_TYPE_FLOAT")
double_type = type("double", "d", "GLSL_TYPE_DOUBLE")
bool_type = type("bool", "b", "GLSL_TYPE_BOOL")
all_types = (uint_type, int_type, float_type, double_type, uint64_type, int64_type, bool_type)
numeric_types = (uint_type, int_type, float_type, double_type, uint64_type, int64_type)
signed_numeric_types = (int_type, float_type, double_type, int64_type)
integer_types = (uint_type, int_type, uint64_type, int64_type)
real_types = (float_type, double_type)
# This template is for operations that can have operands of a several
# different types, and each type may or may not has a different C expression.
# This is used by most operations.
constant_template_common = mako.template.Template("""\
case ${op.get_enum_name()}:
for (unsigned c = 0; c < glsl_get_components(op[0]->type); c++) {
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}[c] = ${op.get_c_expression(src_types)};
break;
% endfor
default:
UNREACHABLE("invalid type");
}
}
break;""")
# This template is for binary operations that can operate on some combination
# of scalar and vector operands where both source types are the same.
constant_template_vector_scalar = mako.template.Template("""\
case ${op.get_enum_name()}:
assert(op[0]->type == op[1]->type || op0_scalar || op1_scalar);
for (unsigned c = 0, c0 = 0, c1 = 0;
c < components;
c0 += c0_inc, c1 += c1_inc, c++) {
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}[c] = ${op.get_c_expression(src_types, ("c0", "c1", "c2"))};
break;
% endfor
default:
UNREACHABLE("invalid type");
}
}
break;""")
# This template is for binary operations that can operate on some combination
# of scalar and vector operands where the source types can be mixed.
constant_template_vector_scalar_mixed = mako.template.Template("""\
case ${op.get_enum_name()}:
% for i in range(op.num_operands):
assert(op[${i}]->type->base_type == ${op.source_types[0].glsl_type} ||
% for src_type in op.source_types[1:-1]:
op[${i}]->type->base_type == ${src_type.glsl_type} ||
% endfor
op[${i}]->type->base_type == ${op.source_types[-1].glsl_type});
% endfor
for (unsigned c = 0, c0 = 0, c1 = 0;
c < components;
c0 += c0_inc, c1 += c1_inc, c++) {
<%
first_sig_dst_type, first_sig_src_types = op.signatures()[0]
last_sig_dst_type, last_sig_src_types = op.signatures()[-1]
%>
if (op[0]->type->base_type == ${first_sig_src_types[0].glsl_type} &&
op[1]->type->base_type == ${first_sig_src_types[1].glsl_type}) {
data.${first_sig_dst_type.union_field}[c] = ${op.get_c_expression(first_sig_src_types, ("c0", "c1", "c2"))};
% for dst_type, src_types in op.signatures()[1:-1]:
} else if (op[0]->type->base_type == ${src_types[0].glsl_type} &&
op[1]->type->base_type == ${src_types[1].glsl_type}) {
data.${dst_type.union_field}[c] = ${op.get_c_expression(src_types, ("c0", "c1", "c2"))};
% endfor
} else if (op[0]->type->base_type == ${last_sig_src_types[0].glsl_type} &&
op[1]->type->base_type == ${last_sig_src_types[1].glsl_type}) {
data.${last_sig_dst_type.union_field}[c] = ${op.get_c_expression(last_sig_src_types, ("c0", "c1", "c2"))};
} else {
UNREACHABLE("invalid types");
}
}
break;""")
# This template is for multiplication. It is unique because it has to support
# matrix * vector and matrix * matrix operations, and those are just different.
constant_template_mul = mako.template.Template("""\
case ${op.get_enum_name()}:
/* Check for equal types, or unequal types involving scalars */
if ((op[0]->type == op[1]->type && !glsl_type_is_matrix(op[0]->type))
|| op0_scalar || op1_scalar) {
for (unsigned c = 0, c0 = 0, c1 = 0;
c < components;
c0 += c0_inc, c1 += c1_inc, c++) {
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}[c] = ${op.get_c_expression(src_types, ("c0", "c1", "c2"))};
break;
% endfor
default:
UNREACHABLE("invalid type");
}
}
} else {
assert(glsl_type_is_matrix(op[0]->type) || glsl_type_is_matrix(op[1]->type));
/* Multiply an N-by-M matrix with an M-by-P matrix. Since either
* matrix can be a GLSL vector, either N or P can be 1.
*
* For vec*mat, the vector is treated as a row vector. This
* means the vector is a 1-row x M-column matrix.
*
* For mat*vec, the vector is treated as a column vector. Since
* matrix_columns is 1 for vectors, this just works.
*/
const unsigned n = glsl_type_is_vector(op[0]->type)
? 1 : op[0]->type->vector_elements;
const unsigned m = op[1]->type->vector_elements;
const unsigned p = op[1]->type->matrix_columns;
for (unsigned j = 0; j < p; j++) {
for (unsigned i = 0; i < n; i++) {
for (unsigned k = 0; k < m; k++) {
if (glsl_type_is_double(op[0]->type))
data.d[i+n*j] += op[0]->value.d[i+n*k]*op[1]->value.d[k+m*j];
else
data.f[i+n*j] += op[0]->value.f[i+n*k]*op[1]->value.f[k+m*j];
}
}
}
}
break;""")
# This template is for operations that are horizontal and either have only a
# single type or the implementation for all types is identical. That is, the
# operation consumes a vector and produces a scalar.
constant_template_horizontal_single_implementation = mako.template.Template("""\
case ${op.get_enum_name()}:
data.${op.dest_type.union_field}[0] = ${op.c_expression['default']};
break;""")
# This template is for operations that are horizontal and do not assign the
# result. The various unpack operations are examples.
constant_template_horizontal_nonassignment = mako.template.Template("""\
case ${op.get_enum_name()}:
${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:
UNREACHABLE("invalid type");
}
break;""")
# This template is for ir_binop_vector_extract.
constant_template_vector_extract = mako.template.Template("""\
case ${op.get_enum_name()}: {
const int c = CLAMP(op[1]->value.i[0], 0,
(int) op[0]->type->vector_elements - 1);
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[0]->value.${src_types[0].union_field}[c];
break;
% endfor
default:
UNREACHABLE("invalid type");
}
break;
}""")
# This template is for ir_triop_vector_insert.
constant_template_vector_insert = mako.template.Template("""\
case ${op.get_enum_name()}: {
const unsigned idx = op[2]->value.u[0];
memcpy(&data, &op[0]->value, sizeof(data));
switch (return_type->base_type) {
% for dst_type, src_types in op.signatures():
case ${src_types[0].glsl_type}:
data.${dst_type.union_field}[idx] = op[1]->value.${src_types[0].union_field}[0];
break;
% endfor
default:
UNREACHABLE("invalid type");
}
break;
}""")
# This template is for ir_quadop_vector.
constant_template_vector = mako.template.Template("""\
case ${op.get_enum_name()}:
for (unsigned c = 0; c < return_type->vector_elements; c++) {
switch (return_type->base_type) {
% for dst_type, src_types in op.signatures():
case ${src_types[0].glsl_type}:
data.${dst_type.union_field}[c] = op[c]->value.${src_types[0].union_field}[0];
break;
% endfor
default:
UNREACHABLE("invalid type");
}
}
break;""")
# This template is for ir_triop_lrp.
constant_template_lrp = mako.template.Template("""\
case ${op.get_enum_name()}: {
assert(glsl_type_is_float(op[0]->type) || glsl_type_is_double(op[0]->type));
assert(glsl_type_is_float(op[1]->type) || glsl_type_is_double(op[1]->type));
assert(glsl_type_is_float(op[2]->type) || glsl_type_is_double(op[2]->type));
unsigned c2_inc = glsl_type_is_scalar(op[2]->type) ? 0 : 1;
for (unsigned c = 0, c2 = 0; c < components; c2 += c2_inc, c++) {
switch (return_type->base_type) {
% for dst_type, src_types in op.signatures():
case ${src_types[0].glsl_type}:
data.${dst_type.union_field}[c] = ${op.get_c_expression(src_types, ("c", "c", "c2"))};
break;
% endfor
default:
UNREACHABLE("invalid type");
}
}
break;
}""")
# This template is for ir_triop_csel. This expression is really unique
# because not all of the operands are the same type, and the second operand
# determines the type of the expression (instead of the first).
constant_template_csel = mako.template.Template("""\
case ${op.get_enum_name()}:
for (unsigned c = 0; c < components; c++) {
switch (return_type->base_type) {
% for dst_type, src_types in op.signatures():
case ${src_types[1].glsl_type}:
data.${dst_type.union_field}[c] = ${op.get_c_expression(src_types)};
break;
% endfor
default:
UNREACHABLE("invalid type");
}
}
break;""")
vector_scalar_operation = "vector-scalar"
horizontal_operation = "horizontal"
types_identical_operation = "identical"
non_assign_operation = "nonassign"
mixed_type_operation = "mixed"
class operation(object):
def __init__(self, name, num_operands, printable_name = None, source_types = None, dest_type = None, c_expression = None, flags = None, all_signatures = None):
self.name = name
self.num_operands = num_operands
if printable_name is None:
self.printable_name = name
else:
self.printable_name = printable_name
self.all_signatures = all_signatures
if source_types is None:
self.source_types = tuple()
else:
self.source_types = source_types
self.dest_type = dest_type
if c_expression is None:
self.c_expression = None
elif isinstance(c_expression, str):
self.c_expression = {'default': c_expression}
else:
self.c_expression = c_expression
if flags is None:
self.flags = frozenset()
elif isinstance(flags, str):
self.flags = frozenset([flags])
else:
self.flags = frozenset(flags)
def get_enum_name(self):
return "ir_{0}op_{1}".format(("un", "bin", "tri", "quad")[self.num_operands-1], self.name)
def get_template(self):
if self.c_expression is None:
return None
if horizontal_operation in self.flags:
if non_assign_operation in self.flags:
return constant_template_horizontal_nonassignment.render(op=self)
elif types_identical_operation in self.flags:
return constant_template_horizontal_single_implementation.render(op=self)
else:
return constant_template_horizontal.render(op=self)
if self.num_operands == 2:
if self.name == "mul":
return constant_template_mul.render(op=self)
elif self.name == "vector_extract":
return constant_template_vector_extract.render(op=self)
elif vector_scalar_operation in self.flags:
if mixed_type_operation in self.flags:
return constant_template_vector_scalar_mixed.render(op=self)
else:
return constant_template_vector_scalar.render(op=self)
elif self.num_operands == 3:
if self.name == "vector_insert":
return constant_template_vector_insert.render(op=self)
elif self.name == "lrp":
return constant_template_lrp.render(op=self)
elif self.name == "csel":
return constant_template_csel.render(op=self)
elif self.num_operands == 4:
if self.name == "vector":
return constant_template_vector.render(op=self)
return constant_template_common.render(op=self)
def get_c_expression(self, types, indices=("c", "c", "c")):
src0 = "op[0]->value.{0}[{1}]".format(types[0].union_field, indices[0])
src1 = "op[1]->value.{0}[{1}]".format(types[1].union_field, indices[1]) if len(types) >= 2 else "ERROR"
src2 = "op[2]->value.{0}[{1}]".format(types[2].union_field, indices[2]) if len(types) >= 3 else "ERROR"
src3 = "op[3]->value.{0}[c]".format(types[3].union_field) if len(types) >= 4 else "ERROR"
expr = self.c_expression[types[0].union_field] if types[0].union_field in self.c_expression else self.c_expression['default']
return expr.format(src0=src0,
src1=src1,
src2=src2,
src3=src3)
def signatures(self):
if self.all_signatures is not None:
return self.all_signatures
else:
return type_signature_iter(self.dest_type, self.source_types, self.num_operands)
ir_expression_operation = [
operation("bit_not", 1, printable_name="~", source_types=integer_types, c_expression="~ {src0}"),
operation("logic_not", 1, printable_name="!", source_types=(bool_type,), c_expression="!{src0}"),
operation("neg", 1, source_types=numeric_types, c_expression={'u': "-((int) {src0})", 'u64': "-((int64_t) {src0})", 'default': "-{src0}"}),
operation("abs", 1, source_types=signed_numeric_types, c_expression={'i': "{src0} < 0 ? -{src0} : {src0}", 'f': "fabsf({src0})", 'd': "fabs({src0})", 'i64': "{src0} < 0 ? -{src0} : {src0}"}),
operation("sign", 1, source_types=signed_numeric_types, c_expression={'i': "({src0} > 0) - ({src0} < 0)", 'f': "float(({src0} > 0.0F) - ({src0} < 0.0F))", 'd': "double(({src0} > 0.0) - ({src0} < 0.0))", 'i64': "({src0} > 0) - ({src0} < 0)"}),
operation("rcp", 1, source_types=real_types, c_expression={'f': "1.0F / {src0}", 'd': "1.0 / {src0}"}),
operation("rsq", 1, source_types=real_types, c_expression={'f': "1.0F / sqrtf({src0})", 'd': "1.0 / sqrt({src0})"}),
operation("sqrt", 1, source_types=real_types, c_expression={'f': "sqrtf({src0})", 'd': "sqrt({src0})"}),
operation("exp", 1, source_types=(float_type,), c_expression="expf({src0})"), # Log base e on gentype
operation("log", 1, source_types=(float_type,), c_expression="logf({src0})"), # Natural log on gentype
operation("exp2", 1, source_types=(float_type,), c_expression="exp2f({src0})"),
operation("log2", 1, source_types=(float_type,), c_expression="log2f({src0})"),
# Float-to-integer conversion.
operation("f2i", 1, source_types=(float_type,), dest_type=int_type, c_expression="(int) {src0}"),
# Float-to-unsigned conversion.
operation("f2u", 1, source_types=(float_type,), dest_type=uint_type, c_expression="(unsigned) {src0}"),
# Integer-to-float conversion.
operation("i2f", 1, source_types=(int_type,), dest_type=float_type, c_expression="(float) {src0}"),
# Float-to-boolean conversion
operation("f2b", 1, source_types=(float_type,), dest_type=bool_type, c_expression="{src0} != 0.0F ? true : false"),
# Boolean-to-float conversion
operation("b2f", 1, source_types=(bool_type,), dest_type=float_type, c_expression="{src0} ? 1.0F : 0.0F"),
# Boolean-to-float16 conversion
operation("b2f16", 1, source_types=(bool_type,), dest_type=float_type, c_expression="{src0} ? 1.0F : 0.0F"),
# int-to-boolean conversion
operation("i2b", 1, source_types=(uint_type, int_type), dest_type=bool_type, c_expression="{src0} ? true : false"),
# Boolean-to-int conversion
operation("b2i", 1, source_types=(bool_type,), dest_type=int_type, c_expression="{src0} ? 1 : 0"),
# Unsigned-to-float conversion.
operation("u2f", 1, source_types=(uint_type,), dest_type=float_type, c_expression="(float) {src0}"),
# Integer-to-unsigned conversion.
operation("i2u", 1, source_types=(int_type,), dest_type=uint_type, c_expression="{src0}"),
# Unsigned-to-integer conversion.
operation("u2i", 1, source_types=(uint_type,), dest_type=int_type, c_expression="{src0}"),
# Double-to-float conversion.
operation("d2f", 1, source_types=(double_type,), dest_type=float_type, c_expression="{src0}"),
# Float-to-double conversion.
operation("f2d", 1, source_types=(float_type,), dest_type=double_type, c_expression="{src0}"),
# Half-float conversions. These all operate on and return float types,
# since the framework expands half to full float before calling in. We
# still have to handle them here so that we can constant propagate through
# them, but they are no-ops.
operation("f2f16", 1, source_types=(float_type,), dest_type=float_type, c_expression="{src0}"),
operation("f2fmp", 1, source_types=(float_type,), dest_type=float_type, c_expression="{src0}"),
operation("f162f", 1, source_types=(float_type,), dest_type=float_type, c_expression="{src0}"),
operation("u2f16", 1, source_types=(uint_type,), dest_type=float_type, c_expression="{src0}"),
operation("f162u", 1, source_types=(float_type,), dest_type=uint_type, c_expression="{src0}"),
operation("i2f16", 1, source_types=(int_type,), dest_type=float_type, c_expression="{src0}"),
operation("f162i", 1, source_types=(float_type,), dest_type=int_type, c_expression="{src0}"),
operation("d2f16", 1, source_types=(double_type,), dest_type=float_type, c_expression="{src0}"),
operation("f162d", 1, source_types=(float_type,), dest_type=double_type, c_expression="{src0}"),
operation("u642f16", 1, source_types=(uint64_type,), dest_type=float_type, c_expression="{src0}"),
operation("f162u64", 1, source_types=(float_type,), dest_type=uint64_type, c_expression="{src0}"),
operation("i642f16", 1, source_types=(int64_type,), dest_type=float_type, c_expression="{src0}"),
operation("f162i64", 1, source_types=(float_type,), dest_type=int64_type, c_expression="{src0}"),
# int16<->int32 conversion.
operation("i2i", 1, source_types=(int_type,), dest_type=int_type, c_expression="{src0}"),
operation("i2imp", 1, source_types=(int_type,), dest_type=int_type, c_expression="{src0}"),
operation("u2u", 1, source_types=(uint_type,), dest_type=uint_type, c_expression="{src0}"),
operation("u2ump", 1, source_types=(uint_type,), dest_type=uint_type, c_expression="{src0}"),
# Double-to-integer conversion.
operation("d2i", 1, source_types=(double_type,), dest_type=int_type, c_expression="{src0}"),
# Integer-to-double conversion.
operation("i2d", 1, source_types=(int_type,), dest_type=double_type, c_expression="{src0}"),
# Double-to-unsigned conversion.
operation("d2u", 1, source_types=(double_type,), dest_type=uint_type, c_expression="{src0}"),
# Unsigned-to-double conversion.
operation("u2d", 1, source_types=(uint_type,), dest_type=double_type, c_expression="{src0}"),
# Double-to-boolean conversion.
operation("d2b", 1, source_types=(double_type,), dest_type=bool_type, c_expression="{src0} != 0.0"),
# Float16-to-boolean conversion.
operation("f162b", 1, source_types=(float_type,), dest_type=bool_type, c_expression="{src0} != 0.0"),
# 'Bit-identical int-to-float "conversion"
operation("bitcast_i2f", 1, source_types=(int_type,), dest_type=float_type, c_expression="bitcast_u2f({src0})"),
# 'Bit-identical float-to-int "conversion"
operation("bitcast_f2i", 1, source_types=(float_type,), dest_type=int_type, c_expression="bitcast_f2u({src0})"),
# 'Bit-identical uint-to-float "conversion"
operation("bitcast_u2f", 1, source_types=(uint_type,), dest_type=float_type, c_expression="bitcast_u2f({src0})"),
# 'Bit-identical float-to-uint "conversion"
operation("bitcast_f2u", 1, source_types=(float_type,), dest_type=uint_type, c_expression="bitcast_f2u({src0})"),
# Bit-identical u64-to-double "conversion"
operation("bitcast_u642d", 1, source_types=(uint64_type,), dest_type=double_type, c_expression="bitcast_u642d({src0})"),
# Bit-identical i64-to-double "conversion"
operation("bitcast_i642d", 1, source_types=(int64_type,), dest_type=double_type, c_expression="bitcast_i642d({src0})"),
# Bit-identical double-to_u64 "conversion"
operation("bitcast_d2u64", 1, source_types=(double_type,), dest_type=uint64_type, c_expression="bitcast_d2u64({src0})"),
# Bit-identical double-to-i64 "conversion"
operation("bitcast_d2i64", 1, source_types=(double_type,), dest_type=int64_type, c_expression="bitcast_d2i64({src0})"),
# i64-to-i32 conversion
operation("i642i", 1, source_types=(int64_type,), dest_type=int_type, c_expression="{src0}"),
# ui64-to-i32 conversion
operation("u642i", 1, source_types=(uint64_type,), dest_type=int_type, c_expression="{src0}"),
operation("i642u", 1, source_types=(int64_type,), dest_type=uint_type, c_expression="{src0}"),
operation("u642u", 1, source_types=(uint64_type,), dest_type=uint_type, c_expression="{src0}"),
operation("i642b", 1, source_types=(int64_type,), dest_type=bool_type, c_expression="{src0} != 0"),
operation("i642f", 1, source_types=(int64_type,), dest_type=float_type, c_expression="{src0}"),
operation("u642f", 1, source_types=(uint64_type,), dest_type=float_type, c_expression="{src0}"),
operation("i642d", 1, source_types=(int64_type,), dest_type=double_type, c_expression="{src0}"),
operation("u642d", 1, source_types=(uint64_type,), dest_type=double_type, c_expression="{src0}"),
operation("i2i64", 1, source_types=(int_type,), dest_type=int64_type, c_expression="{src0}"),
operation("u2i64", 1, source_types=(uint_type,), dest_type=int64_type, c_expression="{src0}"),
operation("b2i64", 1, source_types=(bool_type,), dest_type=int64_type, c_expression="{src0}"),
operation("f2i64", 1, source_types=(float_type,), dest_type=int64_type, c_expression="{src0}"),
operation("d2i64", 1, source_types=(double_type,), dest_type=int64_type, c_expression="{src0}"),
operation("i2u64", 1, source_types=(int_type,), dest_type=uint64_type, c_expression="{src0}"),
operation("u2u64", 1, source_types=(uint_type,), dest_type=uint64_type, c_expression="{src0}"),
operation("f2u64", 1, source_types=(float_type,), dest_type=uint64_type, c_expression="{src0}"),
operation("d2u64", 1, source_types=(double_type,), dest_type=uint64_type, c_expression="{src0}"),
operation("u642i64", 1, source_types=(uint64_type,), dest_type=int64_type, c_expression="{src0}"),
operation("i642u64", 1, source_types=(int64_type,), dest_type=uint64_type, c_expression="{src0}"),
# Unary floating-point rounding operations.
operation("trunc", 1, source_types=real_types, c_expression={'f': "truncf({src0})", 'd': "trunc({src0})"}),
operation("ceil", 1, source_types=real_types, c_expression={'f': "ceilf({src0})", 'd': "ceil({src0})"}),
operation("floor", 1, source_types=real_types, c_expression={'f': "floorf({src0})", 'd': "floor({src0})"}),
operation("fract", 1, source_types=real_types, c_expression={'f': "{src0} - floorf({src0})", 'd': "{src0} - floor({src0})"}),
operation("round_even", 1, source_types=real_types, c_expression={'f': "_mesa_roundevenf({src0})", 'd': "_mesa_roundeven({src0})"}),
# Trigonometric operations.
operation("sin", 1, source_types=(float_type,), c_expression="sinf({src0})"),
operation("cos", 1, source_types=(float_type,), c_expression="cosf({src0})"),
operation("atan", 1, source_types=(float_type,), c_expression="atan({src0})"),
# Partial derivatives.
operation("dFdx", 1, source_types=(float_type,), c_expression="0.0f"),
operation("dFdx_coarse", 1, printable_name="dFdxCoarse", source_types=(float_type,), c_expression="0.0f"),
operation("dFdx_fine", 1, printable_name="dFdxFine", source_types=(float_type,), c_expression="0.0f"),
operation("dFdy", 1, source_types=(float_type,), c_expression="0.0f"),
operation("dFdy_coarse", 1, printable_name="dFdyCoarse", source_types=(float_type,), c_expression="0.0f"),
operation("dFdy_fine", 1, printable_name="dFdyFine", source_types=(float_type,), c_expression="0.0f"),
# Floating point pack and unpack operations.
operation("pack_snorm_2x16", 1, printable_name="packSnorm2x16", source_types=(float_type,), dest_type=uint_type, c_expression="pack_2x16(pack_snorm_1x16, op[0]->value.f[0], op[0]->value.f[1])", flags=horizontal_operation),
operation("pack_snorm_4x8", 1, printable_name="packSnorm4x8", source_types=(float_type,), dest_type=uint_type, c_expression="pack_4x8(pack_snorm_1x8, op[0]->value.f[0], op[0]->value.f[1], op[0]->value.f[2], op[0]->value.f[3])", flags=horizontal_operation),
operation("pack_unorm_2x16", 1, printable_name="packUnorm2x16", source_types=(float_type,), dest_type=uint_type, c_expression="pack_2x16(pack_unorm_1x16, op[0]->value.f[0], op[0]->value.f[1])", flags=horizontal_operation),
operation("pack_unorm_4x8", 1, printable_name="packUnorm4x8", source_types=(float_type,), dest_type=uint_type, c_expression="pack_4x8(pack_unorm_1x8, op[0]->value.f[0], op[0]->value.f[1], op[0]->value.f[2], op[0]->value.f[3])", flags=horizontal_operation),
operation("pack_half_2x16", 1, printable_name="packHalf2x16", source_types=(float_type,), dest_type=uint_type, c_expression="pack_2x16(pack_half_1x16, op[0]->value.f[0], op[0]->value.f[1])", flags=horizontal_operation),
operation("unpack_snorm_2x16", 1, printable_name="unpackSnorm2x16", source_types=(uint_type,), dest_type=float_type, c_expression="unpack_2x16(unpack_snorm_1x16, op[0]->value.u[0], &data.f[0], &data.f[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("unpack_snorm_4x8", 1, printable_name="unpackSnorm4x8", source_types=(uint_type,), dest_type=float_type, c_expression="unpack_4x8(unpack_snorm_1x8, op[0]->value.u[0], &data.f[0], &data.f[1], &data.f[2], &data.f[3])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("unpack_unorm_2x16", 1, printable_name="unpackUnorm2x16", source_types=(uint_type,), dest_type=float_type, c_expression="unpack_2x16(unpack_unorm_1x16, op[0]->value.u[0], &data.f[0], &data.f[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("unpack_unorm_4x8", 1, printable_name="unpackUnorm4x8", source_types=(uint_type,), dest_type=float_type, c_expression="unpack_4x8(unpack_unorm_1x8, op[0]->value.u[0], &data.f[0], &data.f[1], &data.f[2], &data.f[3])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("unpack_half_2x16", 1, printable_name="unpackHalf2x16", source_types=(uint_type,), dest_type=float_type, c_expression="unpack_2x16(unpack_half_1x16, op[0]->value.u[0], &data.f[0], &data.f[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
# Bit operations, part of ARB_gpu_shader5.
operation("bitfield_reverse", 1, source_types=(uint_type, int_type), c_expression="bitfield_reverse({src0})"),
operation("bit_count", 1, source_types=(uint_type, int_type), dest_type=int_type, c_expression="util_bitcount({src0})"),
operation("find_msb", 1, source_types=(uint_type, int_type), dest_type=int_type, c_expression={'u': "find_msb_uint({src0})", 'i': "find_msb_int({src0})"}),
operation("find_lsb", 1, source_types=(uint_type, int_type), dest_type=int_type, c_expression="find_msb_uint({src0} & -{src0})"),
operation("clz", 1, source_types=(uint_type,), dest_type=uint_type, c_expression="(unsigned)(31 - find_msb_uint({src0}))"),
operation("saturate", 1, printable_name="sat", source_types=(float_type,), c_expression="CLAMP({src0}, 0.0f, 1.0f)"),
# Double packing, part of ARB_gpu_shader_fp64.
operation("pack_double_2x32", 1, printable_name="packDouble2x32", source_types=(uint_type,), dest_type=double_type, c_expression="data.u64[0] = pack_2x32(op[0]->value.u[0], op[0]->value.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("unpack_double_2x32", 1, printable_name="unpackDouble2x32", source_types=(double_type,), dest_type=uint_type, c_expression="unpack_2x32(op[0]->value.u64[0], &data.u[0], &data.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
# Sampler/Image packing, part of ARB_bindless_texture.
operation("pack_sampler_2x32", 1, printable_name="packSampler2x32", source_types=(uint_type,), dest_type=uint64_type, c_expression="data.u64[0] = pack_2x32(op[0]->value.u[0], op[0]->value.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("pack_image_2x32", 1, printable_name="packImage2x32", source_types=(uint_type,), dest_type=uint64_type, c_expression="data.u64[0] = pack_2x32(op[0]->value.u[0], op[0]->value.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("unpack_sampler_2x32", 1, printable_name="unpackSampler2x32", source_types=(uint64_type,), dest_type=uint_type, c_expression="unpack_2x32(op[0]->value.u64[0], &data.u[0], &data.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("unpack_image_2x32", 1, printable_name="unpackImage2x32", source_types=(uint64_type,), dest_type=uint_type, c_expression="unpack_2x32(op[0]->value.u64[0], &data.u[0], &data.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("frexp_sig", 1),
operation("frexp_exp", 1),
operation("subroutine_to_int", 1),
# Interpolate fs input at centroid
#
# operand0 is the fs input.
operation("interpolate_at_centroid", 1),
# Ask the driver for the total size of a buffer block.
# operand0 is the ir_constant buffer block index in the linked shader.
operation("get_buffer_size", 1),
# Calculate length of an unsized array inside a buffer block.
# This opcode is going to be replaced in a lowering pass inside
# the linker.
#
# operand0 is the unsized array's ir_value for the calculation
# of its length.
operation("ssbo_unsized_array_length", 1),
# Calculate length of an implicitly sized array.
# This opcode is going to be replaced with a constant expression at link
# time.
operation("implicitly_sized_array_length", 1),
# 64-bit integer packing ops.
operation("pack_int_2x32", 1, printable_name="packInt2x32", source_types=(int_type,), dest_type=int64_type, c_expression="data.u64[0] = pack_2x32(op[0]->value.u[0], op[0]->value.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("pack_uint_2x32", 1, printable_name="packUint2x32", source_types=(uint_type,), dest_type=uint64_type, c_expression="data.u64[0] = pack_2x32(op[0]->value.u[0], op[0]->value.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("unpack_int_2x32", 1, printable_name="unpackInt2x32", source_types=(int64_type,), dest_type=int_type, c_expression="unpack_2x32(op[0]->value.u64[0], &data.u[0], &data.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("unpack_uint_2x32", 1, printable_name="unpackUint2x32", source_types=(uint64_type,), dest_type=uint_type, c_expression="unpack_2x32(op[0]->value.u64[0], &data.u[0], &data.u[1])", flags=frozenset((horizontal_operation, non_assign_operation))),
operation("add", 2, printable_name="+", source_types=numeric_types, c_expression="{src0} + {src1}", flags=vector_scalar_operation),
operation("sub", 2, printable_name="-", source_types=numeric_types, c_expression="{src0} - {src1}", flags=vector_scalar_operation),
operation("add_sat", 2, printable_name="add_sat", source_types=integer_types, c_expression={
'u': "({src0} + {src1}) < {src0} ? UINT32_MAX : ({src0} + {src1})",
'i': "iadd_saturate({src0}, {src1})",
'u64': "({src0} + {src1}) < {src0} ? UINT64_MAX : ({src0} + {src1})",
'i64': "iadd64_saturate({src0}, {src1})"
}),
operation("sub_sat", 2, printable_name="sub_sat", source_types=integer_types, c_expression={
'u': "({src1} > {src0}) ? 0 : {src0} - {src1}",
'i': "isub_saturate({src0}, {src1})",
'u64': "({src1} > {src0}) ? 0 : {src0} - {src1}",
'i64': "isub64_saturate({src0}, {src1})"
}),
operation("abs_sub", 2, printable_name="abs_sub", source_types=integer_types, c_expression={
'u': "({src1} > {src0}) ? {src1} - {src0} : {src0} - {src1}",
'i': "({src1} > {src0}) ? (unsigned){src1} - (unsigned){src0} : (unsigned){src0} - (unsigned){src1}",
'u64': "({src1} > {src0}) ? {src1} - {src0} : {src0} - {src1}",
'i64': "({src1} > {src0}) ? (uint64_t){src1} - (uint64_t){src0} : (uint64_t){src0} - (uint64_t){src1}",
}),
operation("avg", 2, printable_name="average", source_types=integer_types, c_expression="({src0} >> 1) + ({src1} >> 1) + (({src0} & {src1}) & 1)"),
operation("avg_round", 2, printable_name="average_rounded", source_types=integer_types, c_expression="({src0} >> 1) + ({src1} >> 1) + (({src0} | {src1}) & 1)"),
# "Floating-point or low 32-bit integer multiply."
operation("mul", 2, printable_name="*", source_types=numeric_types, c_expression="{src0} * {src1}"),
operation("mul_32x16", 2, printable_name="*", source_types=(uint_type, int_type), c_expression={
'u': "{src0} * (uint16_t){src1}",
'i': "{src0} * (int16_t){src0}"
}),
operation("imul_high", 2), # Calculates the high 32-bits of a 64-bit multiply.
operation("div", 2, printable_name="/", source_types=numeric_types, c_expression={'u': "{src1} == 0 ? 0 : {src0} / {src1}", 'i': "{src1} == 0 ? 0 : {src0} / {src1}", 'u64': "{src1} == 0 ? 0 : {src0} / {src1}", 'i64': "{src1} == 0 ? 0 : {src0} / {src1}", 'default': "{src0} / {src1}"}, flags=vector_scalar_operation),
# Returns the carry resulting from the addition of the two arguments.
operation("carry", 2),
# Returns the borrow resulting from the subtraction of the second argument
# from the first argument.
operation("borrow", 2),
# Either (vector % vector) or (vector % scalar)
#
# We don't use fmod because it rounds toward zero; GLSL specifies the use
# of floor.
operation("mod", 2, printable_name="%", source_types=numeric_types, c_expression={'u': "{src1} == 0 ? 0 : {src0} % {src1}", 'i': "{src1} == 0 ? 0 : {src0} % {src1}", 'f': "{src0} - {src1} * floorf({src0} / {src1})", 'd': "{src0} - {src1} * floor({src0} / {src1})", 'u64': "{src1} == 0 ? 0 : {src0} % {src1}", 'i64': "{src1} == 0 ? 0 : {src0} % {src1}"}, flags=vector_scalar_operation),
# Binary comparison operators which return a boolean vector.
# The type of both operands must be equal.
operation("less", 2, printable_name="<", source_types=numeric_types, dest_type=bool_type, c_expression="{src0} < {src1}"),
operation("gequal", 2, printable_name=">=", source_types=numeric_types, dest_type=bool_type, c_expression="{src0} >= {src1}"),
operation("equal", 2, printable_name="==", source_types=all_types, dest_type=bool_type, c_expression="{src0} == {src1}"),
operation("nequal", 2, printable_name="!=", source_types=all_types, dest_type=bool_type, c_expression="{src0} != {src1}"),
# Returns single boolean for whether all components of operands[0]
# equal the components of operands[1].
operation("all_equal", 2, source_types=all_types, dest_type=bool_type, c_expression="op[0]->has_value(op[1])", flags=frozenset((horizontal_operation, types_identical_operation))),
# Returns single boolean for whether any component of operands[0]
# is not equal to the corresponding component of operands[1].
operation("any_nequal", 2, source_types=all_types, dest_type=bool_type, c_expression="!op[0]->has_value(op[1])", flags=frozenset((horizontal_operation, types_identical_operation))),
# Bit-wise binary operations.
operation("lshift", 2,
printable_name="<<", all_signatures=list((src_sig[0], src_sig) for src_sig in itertools.product(integer_types, repeat=2)),
source_types=integer_types, c_expression="{src0} << {src1}", flags=frozenset((vector_scalar_operation, mixed_type_operation))),
operation("rshift", 2,
printable_name=">>", all_signatures=list((src_sig[0], src_sig) for src_sig in itertools.product(integer_types, repeat=2)),
source_types=integer_types, c_expression="{src0} >> {src1}", flags=frozenset((vector_scalar_operation, mixed_type_operation))),
operation("bit_and", 2, printable_name="&", source_types=integer_types, c_expression="{src0} & {src1}", flags=vector_scalar_operation),
operation("bit_xor", 2, printable_name="^", source_types=integer_types, c_expression="{src0} ^ {src1}", flags=vector_scalar_operation),
operation("bit_or", 2, printable_name="|", source_types=integer_types, c_expression="{src0} | {src1}", flags=vector_scalar_operation),
operation("logic_and", 2, printable_name="&&", source_types=(bool_type,), c_expression="{src0} && {src1}"),
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, 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),
operation("pow", 2, source_types=(float_type,), c_expression="powf({src0}, {src1})"),
# Multiplies a number by two to a power, part of ARB_gpu_shader5.
operation("ldexp", 2,
all_signatures=((float_type, (float_type, int_type)),
(double_type, (double_type, int_type))),
c_expression={'f': "ldexpf_flush_subnormal({src0}, {src1})",
'd': "ldexp_flush_subnormal({src0}, {src1})"}),
# Extract a scalar from a vector
#
# operand0 is the vector
# operand1 is the index of the field to read from operand0
operation("vector_extract", 2, source_types=all_types, c_expression="anything-except-None"),
# Interpolate fs input at offset
#
# operand0 is the fs input
# operand1 is the offset from the pixel center
operation("interpolate_at_offset", 2),
# Interpolate fs input at sample position
#
# operand0 is the fs input
# operand1 is the sample ID
operation("interpolate_at_sample", 2),
operation("atan2", 2, source_types=(float_type,), c_expression="atan2({src0}, {src1})"),
# Fused floating-point multiply-add, part of ARB_gpu_shader5.
operation("fma", 3, source_types=real_types, c_expression="{src0} * {src1} + {src2}"),
operation("lrp", 3, source_types=real_types, c_expression={'f': "{src0} * (1.0f - {src2}) + ({src1} * {src2})", 'd': "{src0} * (1.0 - {src2}) + ({src1} * {src2})"}),
# Conditional Select
#
# A vector conditional select instruction (like ?:, but operating per-
# component on vectors).
#
# See also lower_instructions_visitor::ldexp_to_arith
operation("csel", 3,
all_signatures=zip(all_types, zip(len(all_types) * (bool_type,), all_types, all_types)),
c_expression="{src0} ? {src1} : {src2}"),
operation("bitfield_extract", 3,
all_signatures=((int_type, (uint_type, int_type, int_type)),
(int_type, (int_type, int_type, int_type))),
c_expression={'u': "bitfield_extract_uint({src0}, {src1}, {src2})",
'i': "bitfield_extract_int({src0}, {src1}, {src2})"}),
# Generate a value with one field of a vector changed
#
# operand0 is the vector
# operand1 is the value to write into the vector result
# operand2 is the index in operand0 to be modified
operation("vector_insert", 3, source_types=all_types, c_expression="anything-except-None"),
operation("bitfield_insert", 4,
all_signatures=((uint_type, (uint_type, uint_type, int_type, int_type)),
(int_type, (int_type, int_type, int_type, int_type))),
c_expression="bitfield_insert({src0}, {src1}, {src2}, {src3})"),
operation("vector", 4, source_types=all_types, c_expression="anything-except-None"),
]
if __name__ == "__main__":
copyright = """/*
* Copyright (C) 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.
*/
"""
enum_template = mako.template.Template(copyright + """
enum ir_expression_operation {
% for item in values:
${item.get_enum_name()},
% endfor
/* Sentinels marking the last of each kind of operation. */
% for item in lasts:
ir_last_${("un", "bin", "tri", "quad")[item.num_operands - 1]}op = ${item.get_enum_name()},
% endfor
ir_last_opcode = ir_quadop_${lasts[3].name}
};""")
strings_template = mako.template.Template(copyright + """
const char *const ir_expression_operation_strings[] = {
% for item in values:
"${item.printable_name}",
% endfor
};
const char *const ir_expression_operation_enum_strings[] = {
% for item in values:
"${item.name}",
% endfor
};""")
constant_template = mako.template.Template("""\
switch (this->operation) {
% for op in values:
% if op.c_expression is not None:
${op.get_template()}
% endif
% endfor
default:
/* FINISHME: Should handle all expression types. */
return NULL;
}
""")
if sys.argv[1] == "enum":
lasts = [None, None, None, None]
for item in reversed(ir_expression_operation):
i = item.num_operands - 1
if lasts[i] is None:
lasts[i] = item
print(enum_template.render(values=ir_expression_operation,
lasts=lasts))
elif sys.argv[1] == "strings":
print(strings_template.render(values=ir_expression_operation))
elif sys.argv[1] == "constant":
print(constant_template.render(values=ir_expression_operation))