mesa/src/compiler/nir/nir_algebraic.py

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#
# Copyright (C) 2014 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.
#
# Authors:
# Jason Ekstrand (jason@jlekstrand.net)
from __future__ import print_function
import ast
from collections import defaultdict
import itertools
import struct
import sys
import mako.template
import re
import traceback
from nir_opcodes import opcodes, type_sizes
# These opcodes are only employed by nir_search. This provides a mapping from
# opcode to destination type.
conv_opcode_types = {
'i2f' : 'float',
'u2f' : 'float',
'f2f' : 'float',
'f2u' : 'uint',
'f2i' : 'int',
'u2u' : 'uint',
'i2i' : 'int',
'b2f' : 'float',
'b2i' : 'int',
'i2b' : 'bool',
'f2b' : 'bool',
}
if sys.version_info < (3, 0):
integer_types = (int, long)
string_type = unicode
else:
integer_types = (int, )
string_type = str
_type_re = re.compile(r"(?P<type>int|uint|bool|float)?(?P<bits>\d+)?")
def type_bits(type_str):
m = _type_re.match(type_str)
assert m.group('type')
if m.group('bits') is None:
return 0
else:
return int(m.group('bits'))
# Represents a set of variables, each with a unique id
class VarSet(object):
def __init__(self):
self.names = {}
self.ids = itertools.count()
self.immutable = False;
def __getitem__(self, name):
if name not in self.names:
assert not self.immutable, "Unknown replacement variable: " + name
self.names[name] = next(self.ids)
return self.names[name]
def lock(self):
self.immutable = True
class Value(object):
@staticmethod
def create(val, name_base, varset):
if isinstance(val, bytes):
val = val.decode('utf-8')
if isinstance(val, tuple):
return Expression(val, name_base, varset)
elif isinstance(val, Expression):
return val
elif isinstance(val, string_type):
return Variable(val, name_base, varset)
elif isinstance(val, (bool, float) + integer_types):
return Constant(val, name_base)
__template = mako.template.Template("""
static const ${val.c_type} ${val.name} = {
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
{ ${val.type_enum}, ${val.c_bit_size} },
% if isinstance(val, Constant):
${val.type()}, { ${val.hex()} /* ${val.value} */ },
% elif isinstance(val, Variable):
${val.index}, /* ${val.var_name} */
${'true' if val.is_constant else 'false'},
${val.type() or 'nir_type_invalid' },
${val.cond if val.cond else 'NULL'},
% elif isinstance(val, Expression):
${'true' if val.inexact else 'false'},
nir/search: Search for all combinations of commutative ops Consider the following search expression and NIR sequence: ('iadd', ('imul', a, b), b) ssa_2 = imul ssa_0, ssa_1 ssa_3 = iadd ssa_2, ssa_0 The current algorithm is greedy and, the moment the imul finds a match, it commits those variable names and returns success. In the above example, it maps a -> ssa_0 and b -> ssa_1. When we then try to match the iadd, it sees that ssa_0 is not b and fails to match. The iadd match will attempt to flip itself and try again (which won't work) but it cannot ask the imul to try a flipped match. This commit instead counts the number of commutative ops in each expression and assigns an index to each. It then does a loop and loops over the full combinatorial matrix of commutative operations. In order to keep things sane, we limit it to at most 4 commutative operations (16 combinations). There is only one optimization in opt_algebraic that goes over this limit and it's the bitfieldReverse detection for some UE4 demo. Shader-db results on Kaby Lake: total instructions in shared programs: 15310125 -> 15302469 (-0.05%) instructions in affected programs: 1797123 -> 1789467 (-0.43%) helped: 6751 HURT: 2264 total cycles in shared programs: 357346617 -> 357202526 (-0.04%) cycles in affected programs: 15931005 -> 15786914 (-0.90%) helped: 6024 HURT: 3436 total loops in shared programs: 4360 -> 4360 (0.00%) loops in affected programs: 0 -> 0 helped: 0 HURT: 0 total spills in shared programs: 23675 -> 23666 (-0.04%) spills in affected programs: 235 -> 226 (-3.83%) helped: 5 HURT: 1 total fills in shared programs: 32040 -> 32032 (-0.02%) fills in affected programs: 190 -> 182 (-4.21%) helped: 6 HURT: 2 LOST: 18 GAINED: 5 Reviewed-by: Thomas Helland <thomashelland90@gmail.com>
2019-03-22 17:45:29 -05:00
${val.comm_expr_idx}, ${val.comm_exprs},
${val.c_opcode()},
{ ${', '.join(src.c_ptr for src in val.sources)} },
${val.cond if val.cond else 'NULL'},
% endif
};""")
def __init__(self, val, name, type_str):
self.in_val = str(val)
self.name = name
self.type_str = type_str
def __str__(self):
return self.in_val
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
def get_bit_size(self):
"""Get the physical bit-size that has been chosen for this value, or if
there is none, the canonical value which currently represents this
bit-size class. Variables will be preferred, i.e. if there are any
variables in the equivalence class, the canonical value will be a
variable. We do this since we'll need to know which variable each value
is equivalent to when constructing the replacement expression. This is
the "find" part of the union-find algorithm.
"""
bit_size = self
while isinstance(bit_size, Value):
if bit_size._bit_size is None:
break
bit_size = bit_size._bit_size
if bit_size is not self:
self._bit_size = bit_size
return bit_size
def set_bit_size(self, other):
"""Make self.get_bit_size() return what other.get_bit_size() return
before calling this, or just "other" if it's a concrete bit-size. This is
the "union" part of the union-find algorithm.
"""
self_bit_size = self.get_bit_size()
other_bit_size = other if isinstance(other, int) else other.get_bit_size()
if self_bit_size == other_bit_size:
return
self_bit_size._bit_size = other_bit_size
@property
def type_enum(self):
return "nir_search_value_" + self.type_str
@property
def c_type(self):
return "nir_search_" + self.type_str
@property
def c_ptr(self):
return "&{0}.value".format(self.name)
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
@property
def c_bit_size(self):
bit_size = self.get_bit_size()
if isinstance(bit_size, int):
return bit_size
elif isinstance(bit_size, Variable):
return -bit_size.index - 1
else:
# If the bit-size class is neither a variable, nor an actual bit-size, then
# - If it's in the search expression, we don't need to check anything
# - If it's in the replace expression, either it's ambiguous (in which
# case we'd reject it), or it equals the bit-size of the search value
# We represent these cases with a 0 bit-size.
return 0
def render(self):
return self.__template.render(val=self,
Constant=Constant,
Variable=Variable,
Expression=Expression)
_constant_re = re.compile(r"(?P<value>[^@\(]+)(?:@(?P<bits>\d+))?")
class Constant(Value):
def __init__(self, val, name):
Value.__init__(self, val, name, "constant")
if isinstance(val, (str)):
m = _constant_re.match(val)
self.value = ast.literal_eval(m.group('value'))
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
self._bit_size = int(m.group('bits')) if m.group('bits') else None
else:
self.value = val
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
self._bit_size = None
if isinstance(self.value, bool):
assert self._bit_size is None or self._bit_size == 1
self._bit_size = 1
def hex(self):
if isinstance(self.value, (bool)):
return 'NIR_TRUE' if self.value else 'NIR_FALSE'
if isinstance(self.value, integer_types):
return hex(self.value)
elif isinstance(self.value, float):
i = struct.unpack('Q', struct.pack('d', self.value))[0]
h = hex(i)
# On Python 2 this 'L' suffix is automatically added, but not on Python 3
# Adding it explicitly makes the generated file identical, regardless
# of the Python version running this script.
if h[-1] != 'L' and i > sys.maxsize:
h += 'L'
return h
else:
assert False
def type(self):
if isinstance(self.value, (bool)):
return "nir_type_bool"
elif isinstance(self.value, integer_types):
return "nir_type_int"
elif isinstance(self.value, float):
return "nir_type_float"
_var_name_re = re.compile(r"(?P<const>#)?(?P<name>\w+)"
r"(?:@(?P<type>int|uint|bool|float)?(?P<bits>\d+)?)?"
r"(?P<cond>\([^\)]+\))?")
class Variable(Value):
def __init__(self, val, name, varset):
Value.__init__(self, val, name, "variable")
m = _var_name_re.match(val)
assert m and m.group('name') is not None
self.var_name = m.group('name')
# Prevent common cases where someone puts quotes around a literal
# constant. If we want to support names that have numeric or
# punctuation characters, we can me the first assertion more flexible.
assert self.var_name.isalpha()
assert self.var_name is not 'True'
assert self.var_name is not 'False'
self.is_constant = m.group('const') is not None
self.cond = m.group('cond')
self.required_type = m.group('type')
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
self._bit_size = int(m.group('bits')) if m.group('bits') else None
if self.required_type == 'bool':
if self._bit_size is not None:
assert self._bit_size in type_sizes(self.required_type)
else:
self._bit_size = 1
if self.required_type is not None:
assert self.required_type in ('float', 'bool', 'int', 'uint')
self.index = varset[self.var_name]
def type(self):
if self.required_type == 'bool':
return "nir_type_bool"
elif self.required_type in ('int', 'uint'):
return "nir_type_int"
elif self.required_type == 'float':
return "nir_type_float"
_opcode_re = re.compile(r"(?P<inexact>~)?(?P<opcode>\w+)(?:@(?P<bits>\d+))?"
r"(?P<cond>\([^\)]+\))?")
class Expression(Value):
def __init__(self, expr, name_base, varset):
Value.__init__(self, expr, name_base, "expression")
assert isinstance(expr, tuple)
m = _opcode_re.match(expr[0])
assert m and m.group('opcode') is not None
self.opcode = m.group('opcode')
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
self._bit_size = int(m.group('bits')) if m.group('bits') else None
self.inexact = m.group('inexact') is not None
self.cond = m.group('cond')
self.sources = [ Value.create(src, "{0}_{1}".format(name_base, i), varset)
for (i, src) in enumerate(expr[1:]) ]
if self.opcode in conv_opcode_types:
assert self._bit_size is None, \
'Expression cannot use an unsized conversion opcode with ' \
'an explicit size; that\'s silly.'
nir/search: Search for all combinations of commutative ops Consider the following search expression and NIR sequence: ('iadd', ('imul', a, b), b) ssa_2 = imul ssa_0, ssa_1 ssa_3 = iadd ssa_2, ssa_0 The current algorithm is greedy and, the moment the imul finds a match, it commits those variable names and returns success. In the above example, it maps a -> ssa_0 and b -> ssa_1. When we then try to match the iadd, it sees that ssa_0 is not b and fails to match. The iadd match will attempt to flip itself and try again (which won't work) but it cannot ask the imul to try a flipped match. This commit instead counts the number of commutative ops in each expression and assigns an index to each. It then does a loop and loops over the full combinatorial matrix of commutative operations. In order to keep things sane, we limit it to at most 4 commutative operations (16 combinations). There is only one optimization in opt_algebraic that goes over this limit and it's the bitfieldReverse detection for some UE4 demo. Shader-db results on Kaby Lake: total instructions in shared programs: 15310125 -> 15302469 (-0.05%) instructions in affected programs: 1797123 -> 1789467 (-0.43%) helped: 6751 HURT: 2264 total cycles in shared programs: 357346617 -> 357202526 (-0.04%) cycles in affected programs: 15931005 -> 15786914 (-0.90%) helped: 6024 HURT: 3436 total loops in shared programs: 4360 -> 4360 (0.00%) loops in affected programs: 0 -> 0 helped: 0 HURT: 0 total spills in shared programs: 23675 -> 23666 (-0.04%) spills in affected programs: 235 -> 226 (-3.83%) helped: 5 HURT: 1 total fills in shared programs: 32040 -> 32032 (-0.02%) fills in affected programs: 190 -> 182 (-4.21%) helped: 6 HURT: 2 LOST: 18 GAINED: 5 Reviewed-by: Thomas Helland <thomashelland90@gmail.com>
2019-03-22 17:45:29 -05:00
self.__index_comm_exprs(0)
def __index_comm_exprs(self, base_idx):
"""Recursively count and index commutative expressions
"""
self.comm_exprs = 0
if self.opcode not in conv_opcode_types and \
"commutative" in opcodes[self.opcode].algebraic_properties:
self.comm_expr_idx = base_idx
self.comm_exprs += 1
else:
self.comm_expr_idx = -1
for s in self.sources:
if isinstance(s, Expression):
s.__index_comm_exprs(base_idx + self.comm_exprs)
self.comm_exprs += s.comm_exprs
return self.comm_exprs
def c_opcode(self):
if self.opcode in conv_opcode_types:
return 'nir_search_op_' + self.opcode
else:
return 'nir_op_' + self.opcode
def render(self):
srcs = "\n".join(src.render() for src in self.sources)
return srcs + super(Expression, self).render()
class BitSizeValidator(object):
"""A class for validating bit sizes of expressions.
NIR supports multiple bit-sizes on expressions in order to handle things
such as fp64. The source and destination of every ALU operation is
assigned a type and that type may or may not specify a bit size. Sources
and destinations whose type does not specify a bit size are considered
"unsized" and automatically take on the bit size of the corresponding
register or SSA value. NIR has two simple rules for bit sizes that are
validated by nir_validator:
1) A given SSA def or register has a single bit size that is respected by
everything that reads from it or writes to it.
2) The bit sizes of all unsized inputs/outputs on any given ALU
instruction must match. They need not match the sized inputs or
outputs but they must match each other.
In order to keep nir_algebraic relatively simple and easy-to-use,
nir_search supports a type of bit-size inference based on the two rules
above. This is similar to type inference in many common programming
languages. If, for instance, you are constructing an add operation and you
know the second source is 16-bit, then you know that the other source and
the destination must also be 16-bit. There are, however, cases where this
inference can be ambiguous or contradictory. Consider, for instance, the
following transformation:
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
(('usub_borrow', a, b), ('b2i@32', ('ult', a, b)))
This transformation can potentially cause a problem because usub_borrow is
well-defined for any bit-size of integer. However, b2i always generates a
32-bit result so it could end up replacing a 64-bit expression with one
that takes two 64-bit values and produces a 32-bit value. As another
example, consider this expression:
(('bcsel', a, b, 0), ('iand', a, b))
In this case, in the search expression a must be 32-bit but b can
potentially have any bit size. If we had a 64-bit b value, we would end up
trying to and a 32-bit value with a 64-bit value which would be invalid
This class solves that problem by providing a validation layer that proves
that a given search-and-replace operation is 100% well-defined before we
generate any code. This ensures that bugs are caught at compile time
rather than at run time.
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
Each value maintains a "bit-size class", which is either an actual bit size
or an equivalence class with other values that must have the same bit size.
The validator works by combining bit-size classes with each other according
to the NIR rules outlined above, checking that there are no inconsistencies.
When doing this for the replacement expression, we make sure to never change
the equivalence class of any of the search values. We could make the example
transforms above work by doing some extra run-time checking of the search
expression, but we make the user specify those constraints themselves, to
avoid any surprises. Since the replacement bitsizes can only be connected to
the source bitsize via variables (variables must have the same bitsize in
the source and replacment expressions) or the roots of the expression (the
replacement expression must produce the same bit size as the search
expression), we prevent merging a variable with anything when processing the
replacement expression, or specializing the search bitsize
with anything. The former prevents
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
(('bcsel', a, b, 0), ('iand', a, b))
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
from being allowed, since we'd have to merge the bitsizes for a and b due to
the 'iand', while the latter prevents
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
(('usub_borrow', a, b), ('b2i@32', ('ult', a, b)))
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
from being allowed, since the search expression has the bit size of a and b,
which can't be specialized to 32 which is the bitsize of the replace
expression. It also prevents something like:
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
(('b2i', ('i2b', a)), ('ineq', a, 0))
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
since the bitsize of 'b2i', which can be anything, can't be specialized to
the bitsize of a.
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
After doing all this, we check that every subexpression of the replacement
was assigned a constant bitsize, the bitsize of a variable, or the bitsize
of the search expresssion, since those are the things that are known when
constructing the replacement expresssion. Finally, we record the bitsize
needed in nir_search_value so that we know what to do when building the
replacement expression.
"""
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
def __init__(self, varset):
self._var_classes = [None] * len(varset.names)
def compare_bitsizes(self, a, b):
"""Determines which bitsize class is a specialization of the other, or
whether neither is. When we merge two different bitsizes, the
less-specialized bitsize always points to the more-specialized one, so
that calling get_bit_size() always gets you the most specialized bitsize.
The specialization partial order is given by:
- Physical bitsizes are always the most specialized, and a different
bitsize can never specialize another.
- In the search expression, variables can always be specialized to each
other and to physical bitsizes. In the replace expression, we disallow
this to avoid adding extra constraints to the search expression that
the user didn't specify.
- Expressions and constants without a bitsize can always be specialized to
each other and variables, but not the other way around.
We return -1 if a <= b (b can be specialized to a), 0 if a = b, 1 if a >= b,
and None if they are not comparable (neither a <= b nor b <= a).
"""
if isinstance(a, int):
if isinstance(b, int):
return 0 if a == b else None
elif isinstance(b, Variable):
return -1 if self.is_search else None
else:
return -1
elif isinstance(a, Variable):
if isinstance(b, int):
return 1 if self.is_search else None
elif isinstance(b, Variable):
return 0 if self.is_search or a.index == b.index else None
else:
return -1
else:
if isinstance(b, int):
return 1
elif isinstance(b, Variable):
return 1
else:
return 0
def unify_bit_size(self, a, b, error_msg):
"""Record that a must have the same bit-size as b. If both
have been assigned conflicting physical bit-sizes, call "error_msg" with
the bit-sizes of self and other to get a message and raise an error.
In the replace expression, disallow merging variables with other
variables and physical bit-sizes as well.
"""
a_bit_size = a.get_bit_size()
b_bit_size = b if isinstance(b, int) else b.get_bit_size()
cmp_result = self.compare_bitsizes(a_bit_size, b_bit_size)
assert cmp_result is not None, \
error_msg(a_bit_size, b_bit_size)
if cmp_result < 0:
b_bit_size.set_bit_size(a)
elif not isinstance(a_bit_size, int):
a_bit_size.set_bit_size(b)
def merge_variables(self, val):
"""Perform the first part of type inference by merging all the different
uses of the same variable. We always do this as if we're in the search
expression, even if we're actually not, since otherwise we'd get errors
if the search expression specified some constraint but the replace
expression didn't, because we'd be merging a variable and a constant.
"""
if isinstance(val, Variable):
if self._var_classes[val.index] is None:
self._var_classes[val.index] = val
else:
other = self._var_classes[val.index]
self.unify_bit_size(other, val,
lambda other_bit_size, bit_size:
'Variable {} has conflicting bit size requirements: ' \
'it must have bit size {} and {}'.format(
val.var_name, other_bit_size, bit_size))
elif isinstance(val, Expression):
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
for src in val.sources:
self.merge_variables(src)
def validate_value(self, val):
"""Validate the an expression by performing classic Hindley-Milner
type inference on bitsizes. This will detect if there are any conflicting
requirements, and unify variables so that we know which variables must
have the same bitsize. If we're operating on the replace expression, we
will refuse to merge different variables together or merge a variable
with a constant, in order to prevent surprises due to rules unexpectedly
not matching at runtime.
"""
if not isinstance(val, Expression):
return
# Generic conversion ops are special in that they have a single unsized
# source and an unsized destination and the two don't have to match.
# This means there's no validation or unioning to do here besides the
# len(val.sources) check.
if val.opcode in conv_opcode_types:
assert len(val.sources) == 1, \
"Expression {} has {} sources, expected 1".format(
val, len(val.sources))
self.validate_value(val.sources[0])
return
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
nir_op = opcodes[val.opcode]
assert len(val.sources) == nir_op.num_inputs, \
"Expression {} has {} sources, expected {}".format(
val, len(val.sources), nir_op.num_inputs)
for src in val.sources:
self.validate_value(src)
dst_type_bits = type_bits(nir_op.output_type)
# First, unify all the sources. That way, an error coming up because two
# sources have an incompatible bit-size won't produce an error message
# involving the destination.
first_unsized_src = None
for src_type, src in zip(nir_op.input_types, val.sources):
src_type_bits = type_bits(src_type)
if src_type_bits == 0:
if first_unsized_src is None:
first_unsized_src = src
continue
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
if self.is_search:
self.unify_bit_size(first_unsized_src, src,
lambda first_unsized_src_bit_size, src_bit_size:
'Source {} of {} must have bit size {}, while source {} ' \
'must have incompatible bit size {}'.format(
first_unsized_src, val, first_unsized_src_bit_size,
src, src_bit_size))
else:
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
self.unify_bit_size(first_unsized_src, src,
lambda first_unsized_src_bit_size, src_bit_size:
'Sources {} (bit size of {}) and {} (bit size of {}) ' \
'of {} may not have the same bit size when building the ' \
'replacement expression.'.format(
first_unsized_src, first_unsized_src_bit_size, src,
src_bit_size, val))
else:
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
if self.is_search:
self.unify_bit_size(src, src_type_bits,
lambda src_bit_size, unused:
'{} must have {} bits, but as a source of nir_op_{} '\
'it must have {} bits'.format(
src, src_bit_size, nir_op.name, src_type_bits))
else:
self.unify_bit_size(src, src_type_bits,
lambda src_bit_size, unused:
'{} has the bit size of {}, but as a source of ' \
'nir_op_{} it must have {} bits, which may not be the ' \
'same'.format(
src, src_bit_size, nir_op.name, src_type_bits))
if dst_type_bits == 0:
if first_unsized_src is not None:
if self.is_search:
self.unify_bit_size(val, first_unsized_src,
lambda val_bit_size, src_bit_size:
'{} must have the bit size of {}, while its source {} ' \
'must have incompatible bit size {}'.format(
val, val_bit_size, first_unsized_src, src_bit_size))
else:
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
self.unify_bit_size(val, first_unsized_src,
lambda val_bit_size, src_bit_size:
'{} must have {} bits, but its source {} ' \
'(bit size of {}) may not have that bit size ' \
'when building the replacement.'.format(
val, val_bit_size, first_unsized_src, src_bit_size))
else:
self.unify_bit_size(val, dst_type_bits,
lambda dst_bit_size, unused:
'{} must have {} bits, but as a destination of nir_op_{} ' \
'it must have {} bits'.format(
val, dst_bit_size, nir_op.name, dst_type_bits))
def validate_replace(self, val, search):
bit_size = val.get_bit_size()
assert isinstance(bit_size, int) or isinstance(bit_size, Variable) or \
bit_size == search.get_bit_size(), \
'Ambiguous bit size for replacement value {}: ' \
'it cannot be deduced from a variable, a fixed bit size ' \
'somewhere, or the search expression.'.format(val)
if isinstance(val, Expression):
for src in val.sources:
self.validate_replace(src, search)
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
def validate(self, search, replace):
self.is_search = True
self.merge_variables(search)
self.merge_variables(replace)
self.validate_value(search)
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
self.is_search = False
self.validate_value(replace)
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
# Check that search is always more specialized than replace. Note that
# we're doing this in replace mode, disallowing merging variables.
search_bit_size = search.get_bit_size()
replace_bit_size = replace.get_bit_size()
cmp_result = self.compare_bitsizes(search_bit_size, replace_bit_size)
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
assert cmp_result is not None and cmp_result <= 0, \
'The search expression bit size {} and replace expression ' \
'bit size {} may not be the same'.format(
search_bit_size, replace_bit_size)
nir/algebraic: Rewrite bit-size inference Before this commit, there were two copies of the algorithm: one in C, that we would use to figure out what bit-size to give the replacement expression, and one in Python, that emulated the C one and tried to prove that the C algorithm would never fail to correctly assign bit-sizes. That seemed pretty fragile, and likely to fall over if we make any changes. Furthermore, the C code was really just recomputing more-or-less the same thing as the Python code every time. Instead, we can just store the results of the Python algorithm in the C datastructure, and consult it to compute the bitsize of each value, moving the "brains" entirely into Python. Since the Python algorithm no longer has to match C, it's also a lot easier to change it to something more closely approximating an actual type-inference algorithm. The algorithm used is based on Hindley-Milner, although deliberately weakened a little. It's a few more lines than the old one, judging by the diffstat, but I think it's easier to verify that it's correct while being as general as possible. We could split this up into two changes, first making the C code use the results of the Python code and then rewriting the Python algorithm, but since the old algorithm never tracked which variable each equivalence class, it would mean we'd have to add some non-trivial code which would then get thrown away. I think it's better to see the final state all at once, although I could also try splitting it up. v2: - Replace instances of "== None" and "!= None" with "is None" and "is not None". - Rename first_src to first_unsized_src - Only merge the destination with the first unsized source, since the sources have already been merged. - Add a comment explaining what nir_search_value::bit_size now means. v3: - Fix one last instance to use "is not" instead of != - Don't try to be so clever when choosing which error message to print based on whether we're in the search or replace expression. - Fix trailing whitespace. Reviewed-by: Jason Ekstrand <jason@jlekstrand.net> Reviewed-by: Dylan Baker <dylan@pnwbakers.com>
2018-11-23 17:34:19 +01:00
replace.set_bit_size(search)
self.validate_replace(replace, search)
_optimization_ids = itertools.count()
condition_list = ['true']
class SearchAndReplace(object):
def __init__(self, transform):
self.id = next(_optimization_ids)
search = transform[0]
replace = transform[1]
if len(transform) > 2:
self.condition = transform[2]
else:
self.condition = 'true'
if self.condition not in condition_list:
condition_list.append(self.condition)
self.condition_index = condition_list.index(self.condition)
varset = VarSet()
if isinstance(search, Expression):
self.search = search
else:
self.search = Expression(search, "search{0}".format(self.id), varset)
varset.lock()
if isinstance(replace, Value):
self.replace = replace
else:
self.replace = Value.create(replace, "replace{0}".format(self.id), varset)
BitSizeValidator(varset).validate(self.search, self.replace)
_algebraic_pass_template = mako.template.Template("""
#include "nir.h"
#include "nir_builder.h"
#include "nir_search.h"
#include "nir_search_helpers.h"
#ifndef NIR_OPT_ALGEBRAIC_STRUCT_DEFS
#define NIR_OPT_ALGEBRAIC_STRUCT_DEFS
struct transform {
const nir_search_expression *search;
const nir_search_value *replace;
unsigned condition_offset;
};
#endif
% for xform in xforms:
${xform.search.render()}
${xform.replace.render()}
% endfor
% for (opcode, xform_list) in sorted(opcode_xforms.items()):
static const struct transform ${pass_name}_${opcode}_xforms[] = {
% for xform in xform_list:
{ &${xform.search.name}, ${xform.replace.c_ptr}, ${xform.condition_index} },
% endfor
};
% endfor
static bool
${pass_name}_block(nir_builder *build, nir_block *block,
const bool *condition_flags)
{
bool progress = false;
nir_foreach_instr_reverse_safe(instr, block) {
if (instr->type != nir_instr_type_alu)
continue;
nir_alu_instr *alu = nir_instr_as_alu(instr);
if (!alu->dest.dest.is_ssa)
continue;
switch (alu->op) {
% for opcode in sorted(opcode_xforms.keys()):
case nir_op_${opcode}:
for (unsigned i = 0; i < ARRAY_SIZE(${pass_name}_${opcode}_xforms); i++) {
const struct transform *xform = &${pass_name}_${opcode}_xforms[i];
if (condition_flags[xform->condition_offset] &&
nir_replace_instr(build, alu, xform->search, xform->replace)) {
progress = true;
break;
}
}
break;
% endfor
default:
break;
}
}
return progress;
}
static bool
${pass_name}_impl(nir_function_impl *impl, const bool *condition_flags)
{
bool progress = false;
nir_builder build;
nir_builder_init(&build, impl);
nir_foreach_block_reverse(block, impl) {
progress |= ${pass_name}_block(&build, block, condition_flags);
}
if (progress) {
nir_metadata_preserve(impl, nir_metadata_block_index |
nir_metadata_dominance);
} else {
#ifndef NDEBUG
impl->valid_metadata &= ~nir_metadata_not_properly_reset;
#endif
}
return progress;
}
bool
${pass_name}(nir_shader *shader)
{
bool progress = false;
bool condition_flags[${len(condition_list)}];
const nir_shader_compiler_options *options = shader->options;
(void) options;
% for index, condition in enumerate(condition_list):
condition_flags[${index}] = ${condition};
% endfor
nir_foreach_function(function, shader) {
if (function->impl)
progress |= ${pass_name}_impl(function->impl, condition_flags);
}
return progress;
}
""")
class AlgebraicPass(object):
def __init__(self, pass_name, transforms):
self.xforms = []
self.opcode_xforms = defaultdict(lambda : [])
self.pass_name = pass_name
error = False
for xform in transforms:
if not isinstance(xform, SearchAndReplace):
try:
xform = SearchAndReplace(xform)
except:
print("Failed to parse transformation:", file=sys.stderr)
print(" " + str(xform), file=sys.stderr)
traceback.print_exc(file=sys.stderr)
print('', file=sys.stderr)
error = True
continue
self.xforms.append(xform)
if xform.search.opcode in conv_opcode_types:
dst_type = conv_opcode_types[xform.search.opcode]
for size in type_sizes(dst_type):
sized_opcode = xform.search.opcode + str(size)
self.opcode_xforms[sized_opcode].append(xform)
else:
self.opcode_xforms[xform.search.opcode].append(xform)
if error:
sys.exit(1)
def render(self):
return _algebraic_pass_template.render(pass_name=self.pass_name,
xforms=self.xforms,
opcode_xforms=self.opcode_xforms,
condition_list=condition_list)