def add_inames_to_insn(knl, inames, insn_match):
"""
:arg inames: a frozenset of inames that will be added to the
instructions matched by *insn_match*, or a comma-separated
string that parses to such a tuple.
:arg insn_match: An instruction match as understood by
:func:`loopy.match.parse_match`.
:returns: an :class:`GroupIndexTag` or :class:`LocalIndexTag`
that is not being used within the instructions matched by
*insn_match*.
.. versionadded:: 2016.3
"""
if isinstance(inames, str):
inames = frozenset(s.strip() for s in inames.split(","))
if not isinstance(inames, frozenset):
raise TypeError("'inames' must be a frozenset")
from loopy.match import parse_match
match = parse_match(insn_match)
new_instructions = []
for insn in knl.instructions:
if match(knl, insn):
new_instructions.append(
insn.copy(within_inames=insn.within_inames | inames))
else:
new_instructions.append(insn)
return knl.copy(instructions=new_instructions)
def tag_instructions(kernel, new_tag, within=None):
from loopy.match import parse_match
within = parse_match(within)
new_insns = []
for insn in kernel.instructions:
if within(kernel, insn):
new_insns.append(insn.copy(tags=insn.tags | frozenset([new_tag])))
else:
new_insns.append(insn)
return kernel.copy(instructions=new_insns)
def add_barrier(kernel,
insn_before="",
insn_after="",
id_based_on=None,
tags=None,
synchronization_kind="global",
mem_kind=None):
"""Takes in a kernel that needs to be added a barrier and returns a kernel
which has a barrier inserted into it. It takes input of 2 instructions and
then adds a barrier in between those 2 instructions. The expressions can
be any inputs that are understood by :func:`loopy.match.parse_match`.
:arg insn_before: String expression that specifies the instruction(s)
before the barrier which is to be added
:arg insn_after: String expression that specifies the instruction(s) after
the barrier which is to be added
:arg id: String on which the id of the barrier would be based on.
:arg tags: The tag of the group to which the barrier must be added
:arg synchronization_kind: Kind of barrier to be added. May be "global" or
"local"
:arg kind: Type of memory to be synchronied. May be "global" or "local". Ignored
for "global" bariers. If not supplied, defaults to *synchronization_kind*
"""
if mem_kind is None:
mem_kind = synchronization_kind
if id_based_on is None:
id = kernel.make_unique_instruction_id(
based_on=synchronization_kind[0] + "_barrier")
else:
id = kernel.make_unique_instruction_id(based_on=id_based_on)
match = parse_match(insn_before)
insn_before_list = [
insn.id for insn in kernel.instructions if match(kernel, insn)
]
barrier_to_add = BarrierInstruction(
depends_on=frozenset(insn_before_list),
depends_on_is_final=True,
id=id,
tags=tags,
synchronization_kind=synchronization_kind,
mem_kind=mem_kind)
new_kernel = kernel.copy(instructions=kernel.instructions +
[barrier_to_add])
new_kernel = add_dependency(kernel=new_kernel,
insn_match=insn_after,
depends_on="id:" + id)
return new_kernel
def map_instructions(kernel, insn_match, f):
from loopy.match import parse_match
match = parse_match(insn_match)
new_insns = []
for insn in kernel.instructions:
if match(kernel, insn):
new_insns.append(f(insn))
else:
new_insns.append(insn)
return kernel.copy(instructions=new_insns)
def map_instructions(kernel, insn_match, f):
from loopy.match import parse_match
match = parse_match(insn_match)
new_insns = []
for insn in kernel.instructions:
if match(kernel, insn):
new_insns.append(f(insn))
else:
new_insns.append(insn)
return kernel.copy(instructions=new_insns)
def tag_instructions(kernel, new_tag, within=None):
from loopy.match import parse_match
within = parse_match(within)
new_insns = []
for insn in kernel.instructions:
if within(kernel, insn):
new_insns.append(
insn.copy(tags=insn.tags | frozenset([new_tag])))
else:
new_insns.append(insn)
return kernel.copy(instructions=new_insns)
def tag_instructions(kernel, new_tag, within=None):
from loopy.match import parse_match
within = parse_match(within)
from loopy.kernel.creation import _normalize_tags
new_tags = _normalize_tags([new_tag])
new_insns = []
for insn in kernel.instructions:
if within(kernel, insn):
new_insns.append(insn.copy(tags=insn.tags | new_tags))
else:
new_insns.append(insn)
return kernel.copy(instructions=new_insns)
def add_barrier(knl, insn_before="", insn_after="", id_based_on=None,
tags=None, synchronization_kind="global", mem_kind=None):
"""Takes in a kernel that needs to be added a barrier and returns a kernel
which has a barrier inserted into it. It takes input of 2 instructions and
then adds a barrier in between those 2 instructions. The expressions can
be any inputs that are understood by :func:`loopy.match.parse_match`.
:arg insn_before: String expression that specifies the instruction(s)
before the barrier which is to be added
:arg insn_after: String expression that specifies the instruction(s) after
the barrier which is to be added
:arg id: String on which the id of the barrier would be based on.
:arg tags: The tag of the group to which the barrier must be added
:arg synchronization_kind: Kind of barrier to be added. May be "global" or
"local"
:arg kind: Type of memory to be synchronied. May be "global" or "local". Ignored
for "global" bariers. If not supplied, defaults to *synchronization_kind*
"""
if mem_kind is None:
mem_kind = synchronization_kind
if id_based_on is None:
id = knl.make_unique_instruction_id(
based_on=synchronization_kind[0]+"_barrier")
else:
id = knl.make_unique_instruction_id(based_on=id_based_on)
match = parse_match(insn_before)
insn_before_list = [insn.id for insn in knl.instructions if match(knl,
insn)]
barrier_to_add = BarrierInstruction(depends_on=frozenset(insn_before_list),
depends_on_is_final=True,
id=id,
tags=tags,
synchronization_kind=synchronization_kind,
mem_kind=mem_kind)
new_knl = knl.copy(instructions=knl.instructions + [barrier_to_add])
new_knl = add_dependency(kernel=new_knl,
insn_match=insn_after,
depends_on="id:"+id)
return new_knl
def find_unused_axis_tag(kernel, kind, insn_match=None):
"""For one of the hardware-parallel execution tags, find an unused
axis.
:arg insn_match: An instruction match as understood by
:func:`loopy.match.parse_match`.
:arg kind: may be "l" or "g", or the corresponding tag class name
:returns: an :class:`GroupIndexTag` or :class:`LocalIndexTag`
that is not being used within the instructions matched by
*insn_match*.
"""
used_axes = set()
from looopy.kernel.data import GroupIndexTag, LocalIndexTag
if isinstance(kind, str):
found = False
for cls in [GroupIndexTag, LocalIndexTag]:
if kind == cls.print_name:
kind = cls
found = True
break
if not found:
raise LoopyError("invlaid tag kind: %s" % kind)
from loopy.match import parse_match
match = parse_match(insn_match)
insns = [insn for insn in kernel.instructions if match(kernel, insn)]
for insn in insns:
for iname in kernel.insn_inames(insn):
dim_tag = kernel.iname_to_tag.get(iname)
if isinstance(dim_tag, kind):
used_axes.add(kind.axis)
i = 0
while i in used_axes:
i += 1
return kind(i)
def find_instructions(kernel, insn_match):
from loopy.match import parse_match
match = parse_match(insn_match)
return [insn for insn in kernel.instructions if match(kernel, insn)]
def extract_subst(kernel, subst_name, template, parameters=(), within=None):
"""
:arg subst_name: The name of the substitution rule to be created.
:arg template: Unification template expression.
:arg parameters: An iterable of parameters used in
*template*, or a comma-separated string of the same.
:arg within: An instance of :class:`loopy.match.MatchExpressionBase` or
:class:`str` as understood by :func:`loopy.match.parse_match`.
All targeted subexpressions must match ('unify with') *template*
The template may contain '*' wildcards that will have to match exactly across all
unifications.
"""
if isinstance(kernel, TranslationUnit):
kernel_names = [
i for i, clbl in kernel.callables_table.items()
if isinstance(clbl, CallableKernel)
]
if len(kernel_names) != 1:
raise LoopyError()
return kernel.with_kernel(
extract_subst(kernel[kernel_names[0]], subst_name, template,
parameters))
if isinstance(template, str):
from pymbolic import parse
template = parse(template)
if isinstance(parameters, str):
parameters = tuple(s.strip() for s in parameters.split(","))
from loopy.match import parse_match
within = parse_match(within)
var_name_gen = kernel.get_var_name_generator()
# {{{ replace any wildcards in template with new variables
def get_unique_var_name():
based_on = subst_name + "_wc"
result = var_name_gen(based_on)
return result
from loopy.symbolic import WildcardToUniqueVariableMapper
wc_map = WildcardToUniqueVariableMapper(get_unique_var_name)
template = wc_map(template)
# }}}
# {{{ gather up expressions
expr_descriptors = []
from loopy.symbolic import UnidirectionalUnifier
unif = UnidirectionalUnifier(lhs_mapping_candidates=set(parameters))
def gather_exprs(expr, mapper):
urecs = unif(template, expr)
if urecs:
if len(urecs) > 1:
raise RuntimeError(
"ambiguous unification of '%s' with template '%s'" %
(expr, template))
urec, = urecs
expr_descriptors.append(
ExprDescriptor(insn=insn,
expr=expr,
unif_var_dict={
lhs.name: rhs
for lhs, rhs in urec.equations
}))
else:
mapper.fallback_mapper(expr)
# can't nest, don't recurse
from loopy.symbolic import (CallbackMapper, WalkMapper, IdentityMapper)
dfmapper = CallbackMapper(gather_exprs, WalkMapper())
from loopy.kernel.instruction import MultiAssignmentBase
for insn in kernel.instructions:
if isinstance(insn, MultiAssignmentBase) and within(kernel, insn):
dfmapper(insn.assignees)
dfmapper(insn.expression)
for sr in kernel.substitutions.values():
dfmapper(sr.expression)
# }}}
if not expr_descriptors:
raise RuntimeError("no expressions matching '%s'" % template)
# {{{ substitute rule into instructions
def replace_exprs(expr, mapper):
found = False
for exprd in expr_descriptors:
if expr is exprd.expr:
found = True
break
if not found:
return mapper.fallback_mapper(expr)
args = [exprd.unif_var_dict[arg_name] for arg_name in parameters]
result = var(subst_name)
if args:
result = result(*args)
return result
# can't nest, don't recurse
cbmapper = CallbackMapper(replace_exprs, IdentityMapper())
new_insns = []
def transform_assignee(expr):
# Assignment LHS's cannot be subst rules. Treat them
# specially.
import pymbolic.primitives as prim
if isinstance(expr, tuple):
return tuple(transform_assignee(expr_i) for expr_i in expr)
elif isinstance(expr, prim.Subscript):
return type(expr)(expr.aggregate, cbmapper(expr.index))
elif isinstance(expr, prim.Variable):
return expr
else:
raise ValueError("assignment LHS not understood")
for insn in kernel.instructions:
if within(kernel, insn):
new_insns.append(
insn.with_transformed_expressions(
cbmapper, assignee_f=transform_assignee))
else:
new_insns.append(insn)
from loopy.kernel.data import SubstitutionRule
new_substs = {
subst_name:
SubstitutionRule(
name=subst_name,
arguments=tuple(parameters),
expression=template,
)
}
for subst in kernel.substitutions.values():
new_substs[subst.name] = subst.copy(
expression=cbmapper(subst.expression))
# }}}
return kernel.copy(instructions=new_insns, substitutions=new_substs)
def find_instructions(kernel, insn_match):
from loopy.match import parse_match
match = parse_match(insn_match)
return [insn for insn in kernel.instructions if match(kernel, insn)]
def find_instructions_in_single_kernel(kernel, insn_match):
assert isinstance(kernel, LoopKernel)
from loopy.match import parse_match
match = parse_match(insn_match)
return [insn for insn in kernel.instructions if match(kernel, insn)]
def remove_instructions(kernel, insn_ids):
"""Return a new kernel with instructions in *insn_ids* removed.
Dependencies across deleted instructions are transitively propagated i.e.
if insn_a depends on insn_b that depends on insn_c and 'insn_b' is to be
removed then the returned kernel will have a dependency from 'insn_a' to
'insn_c'.
This also updates *no_sync_with* for all instructions.
:arg insn_ids: An instance of :class:`set` or :class:`str` as
understood by :func:`loopy.match.parse_match` or
:class:`loopy.match.MatchExpressionBase`.
"""
from functools import reduce
if not insn_ids:
return kernel
from loopy.match import MatchExpressionBase
if isinstance(insn_ids, str):
from loopy.match import parse_match
insn_ids = parse_match(insn_ids)
if isinstance(insn_ids, MatchExpressionBase):
within = insn_ids
insn_ids = set(
[insn.id for insn in kernel.instructions if within(kernel, insn)])
assert isinstance(insn_ids, set)
id_to_insn = kernel.id_to_insn
# {{{ for each insn_id to be removed get deps in terms of remaining insns
# transitive_deps: mapping from insn_id (referred as I) to be removed to
# frozenset of insn_ids that won't be removed (referred as R(I)). 'R(I)' are
# the transitive dependencies of 'I' that won't be removed.
transitive_deps = {}
insns_not_to_be_removed = frozenset(id_to_insn) - insn_ids
for insn_id in _toposort_of_subset_of_insns(kernel, insn_ids):
assert id_to_insn[insn_id].depends_on <= (insns_not_to_be_removed
| frozenset(transitive_deps))
transitive_deps[insn_id] = reduce(
frozenset.union, (transitive_deps.get(d, frozenset([d]))
for d in id_to_insn[insn_id].depends_on),
frozenset())
# }}}
new_insns = []
for insn in kernel.instructions:
if insn.id in insn_ids:
continue
# transitively propagate dependencies
if insn.depends_on is None:
depends_on = frozenset()
else:
depends_on = insn.depends_on
new_deps = reduce(frozenset.union,
(transitive_deps.get(d, frozenset([d]))
for d in depends_on), frozenset())
assert (new_deps & insn_ids) == frozenset()
# update no_sync_with
new_no_sync_with = frozenset((insn_id, scope)
for insn_id, scope in insn.no_sync_with
if insn_id not in insn_ids)
new_insns.append(
insn.copy(depends_on=new_deps, no_sync_with=new_no_sync_with))
return kernel.copy(instructions=new_insns)
