llvm-project/polly/lib/External/isl/isl_test_python.py
Michael Kruse 8dcc9b6355
[Polly] Update isl to isl-0.27 (#177776)
Fixes: #177527

Updated test cases:

* CodeGen/OpenMP/matmul-parallel.ll, ScheduleOptimizer/pattern-matching-based-opts.ll
  Before the update, ISL bailed out the dependency computation due to
  hitting the max operation limit. The commit
  https://repo.or.cz/isl.git/commit/4bdfe2567715c5d1a8287c07d8685eb3db281e32
  seems to have reduced the complexity needed of the dependency
  computation, thus now being able to recognize some loops as parallel.
  The tests were checking that the outer loop is not parallel, but some
  inner loops can be parallized, particularly the array packing loops.

 * DeLICM/reduction_looprotate_hoisted.ll
   changes in how isl generates expressions

 * ScheduleOptimizer/pattern-matching-based-opts_5.ll
   changes in how isl generates expressions, and AST node changes
2026-01-24 17:07:21 +01:00

505 lines
12 KiB
Python
Executable File

# Copyright 2016-2017 Tobias Grosser
#
# Use of this software is governed by the MIT license
#
# Written by Tobias Grosser, Weststrasse 47, CH-8003, Zurich
import sys
import isl
# Test that isl objects can be constructed.
#
# This tests:
# - construction from a string
# - construction from an integer
# - static constructor without a parameter
# - conversion construction
# - construction of empty union set
#
# The tests to construct from integers and strings cover functionality that
# is also tested in the parameter type tests, but here the presence of
# multiple overloaded constructors and overload resolution is tested.
#
def test_constructors():
zero1 = isl.val("0")
assert(zero1.is_zero())
zero2 = isl.val(0)
assert(zero2.is_zero())
zero3 = isl.val.zero()
assert(zero3.is_zero())
bs = isl.basic_set("{ [1] }")
result = isl.set("{ [1] }")
s = isl.set(bs)
assert(s.is_equal(result))
us = isl.union_set("{ A[1]; B[2, 3] }")
empty = isl.union_set.empty()
assert(us.is_equal(us.union(empty)))
# Test integer function parameters for a particular integer value.
#
def test_int(i):
val_int = isl.val(i)
val_str = isl.val(str(i))
assert(val_int.eq(val_str))
# Test integer function parameters.
#
# Verify that extreme values and zero work.
#
def test_parameters_int():
test_int(sys.maxsize)
test_int(-sys.maxsize - 1)
test_int(0)
# Test isl objects parameters.
#
# Verify that isl objects can be passed as lvalue and rvalue parameters.
# Also verify that isl object parameters are automatically type converted if
# there is an inheritance relation. Finally, test function calls without
# any additional parameters, apart from the isl object on which
# the method is called.
#
def test_parameters_obj():
a = isl.set("{ [0] }")
b = isl.set("{ [1] }")
c = isl.set("{ [2] }")
expected = isl.set("{ [i] : 0 <= i <= 2 }")
tmp = a.union(b)
res_lvalue_param = tmp.union(c)
assert(res_lvalue_param.is_equal(expected))
res_rvalue_param = a.union(b).union(c)
assert(res_rvalue_param.is_equal(expected))
a2 = isl.basic_set("{ [0] }")
assert(a.is_equal(a2))
two = isl.val(2)
half = isl.val("1/2")
res_only_this_param = two.inv()
assert(res_only_this_param.eq(half))
# Test different kinds of parameters to be passed to functions.
#
# This includes integer and isl object parameters.
#
def test_parameters():
test_parameters_int()
test_parameters_obj()
# Test that isl objects are returned correctly.
#
# This only tests that after combining two objects, the result is successfully
# returned.
#
def test_return_obj():
one = isl.val("1")
two = isl.val("2")
three = isl.val("3")
res = one.add(two)
assert(res.eq(three))
# Test that integer values are returned correctly.
#
def test_return_int():
one = isl.val("1")
neg_one = isl.val("-1")
zero = isl.val("0")
assert(one.sgn() > 0)
assert(neg_one.sgn() < 0)
assert(zero.sgn() == 0)
# Test that isl_bool values are returned correctly.
#
# In particular, check the conversion to bool in case of true and false.
#
def test_return_bool():
empty = isl.set("{ : false }")
univ = isl.set("{ : }")
b_true = empty.is_empty()
b_false = univ.is_empty()
assert(b_true)
assert(not b_false)
# Test that strings are returned correctly.
# Do so by calling overloaded isl.ast_build.from_expr methods.
#
def test_return_string():
context = isl.set("[n] -> { : }")
build = isl.ast_build.from_context(context)
pw_aff = isl.pw_aff("[n] -> { [n] }")
set = isl.set("[n] -> { : n >= 0 }")
expr = build.expr_from(pw_aff)
expected_string = "n"
assert(expected_string == expr.to_C_str())
expr = build.expr_from(set)
expected_string = "n >= 0"
assert(expected_string == expr.to_C_str())
# Test that return values are handled correctly.
#
# Test that isl objects, integers, boolean values, and strings are
# returned correctly.
#
def test_return():
test_return_obj()
test_return_int()
test_return_bool()
test_return_string()
# A class that is used to test isl.id.user.
#
class S:
def __init__(self):
self.value = 42
# Test isl.id.user.
#
# In particular, check that the object attached to an identifier
# can be retrieved again.
#
def test_user():
id = isl.id("test", 5)
id2 = isl.id("test2")
id3 = isl.id("S", S())
assert id.user() == 5, f"unexpected user object {id.user()}"
assert id2.user() is None, f"unexpected user object {id2.user()}"
s = id3.user()
assert isinstance(s, S), f"unexpected user object {s}"
assert s.value == 42, f"unexpected user object {s}"
# Test that foreach functions are modeled correctly.
#
# Verify that closures are correctly called as callback of a 'foreach'
# function and that variables captured by the closure work correctly. Also
# check that the foreach function handles exceptions thrown from
# the closure and that it propagates the exception.
#
def test_foreach():
s = isl.set("{ [0]; [1]; [2] }")
list = []
def add(bs):
list.append(bs)
s.foreach_basic_set(add)
assert(len(list) == 3)
assert(list[0].is_subset(s))
assert(list[1].is_subset(s))
assert(list[2].is_subset(s))
assert(not list[0].is_equal(list[1]))
assert(not list[0].is_equal(list[2]))
assert(not list[1].is_equal(list[2]))
def fail(bs):
raise Exception("fail")
caught = False
try:
s.foreach_basic_set(fail)
except:
caught = True
assert(caught)
# Test the functionality of "foreach_scc" functions.
#
# In particular, test it on a list of elements that can be completely sorted
# but where two of the elements ("a" and "b") are incomparable.
#
def test_foreach_scc():
list = isl.id_list(3)
sorted = [isl.id_list(3)]
data = {
'a' : isl.map("{ [0] -> [1] }"),
'b' : isl.map("{ [1] -> [0] }"),
'c' : isl.map("{ [i = 0:1] -> [i] }"),
}
for k, v in data.items():
list = list.add(k)
id = data['a'].space().domain().identity_multi_pw_aff_on_domain()
def follows(a, b):
map = data[b.name()].apply_domain(data[a.name()])
return not map.lex_ge_at(id).is_empty()
def add_single(scc):
assert(scc.size() == 1)
sorted[0] = sorted[0].concat(scc)
list.foreach_scc(follows, add_single)
assert(sorted[0].size() == 3)
assert(sorted[0].at(0).name() == "b")
assert(sorted[0].at(1).name() == "c")
assert(sorted[0].at(2).name() == "a")
# Test the functionality of "every" functions.
#
# In particular, test the generic functionality and
# test that exceptions are properly propagated.
#
def test_every():
us = isl.union_set("{ A[i]; B[j] }")
def is_empty(s):
return s.is_empty()
assert(not us.every_set(is_empty))
def is_non_empty(s):
return not s.is_empty()
assert(us.every_set(is_non_empty))
def in_A(s):
return s.is_subset(isl.set("{ A[x] }"))
assert(not us.every_set(in_A))
def not_in_A(s):
return not s.is_subset(isl.set("{ A[x] }"))
assert(not us.every_set(not_in_A))
def fail(s):
raise Exception("fail")
caught = False
try:
us.ever_set(fail)
except:
caught = True
assert(caught)
# Check basic construction of spaces.
#
def test_space():
unit = isl.space.unit()
set_space = unit.add_named_tuple("A", 3)
map_space = set_space.add_named_tuple("B", 2)
set = isl.set.universe(set_space)
map = isl.map.universe(map_space)
assert(set.is_equal(isl.set("{ A[*,*,*] }")))
assert(map.is_equal(isl.map("{ A[*,*,*] -> B[*,*] }")))
# Construct a simple schedule tree with an outer sequence node and
# a single-dimensional band node in each branch, with one of them
# marked coincident.
#
def construct_schedule_tree():
A = isl.union_set("{ A[i] : 0 <= i < 10 }")
B = isl.union_set("{ B[i] : 0 <= i < 20 }")
node = isl.schedule_node.from_domain(A.union(B))
node = node.child(0)
filters = isl.union_set_list(A).add(B)
node = node.insert_sequence(filters)
f_A = isl.multi_union_pw_aff("[ { A[i] -> [i] } ]")
node = node.child(0)
node = node.child(0)
node = node.insert_partial_schedule(f_A)
node = node.member_set_coincident(0, True)
node = node.ancestor(2)
f_B = isl.multi_union_pw_aff("[ { B[i] -> [i] } ]")
node = node.child(1)
node = node.child(0)
node = node.insert_partial_schedule(f_B)
node = node.ancestor(2)
return node.schedule()
# Test basic schedule tree functionality.
#
# In particular, create a simple schedule tree and
# - check that the root node is a domain node
# - test map_descendant_bottom_up
# - test foreach_descendant_top_down
# - test every_descendant
#
def test_schedule_tree():
schedule = construct_schedule_tree()
root = schedule.root()
assert(type(root) == isl.schedule_node_domain)
count = [0]
def inc_count(node):
count[0] += 1
return node
root = root.map_descendant_bottom_up(inc_count)
assert(count[0] == 8)
def fail_map(node):
raise Exception("fail")
return node
caught = False
try:
root.map_descendant_bottom_up(fail_map)
except:
caught = True
assert(caught)
count = [0]
def inc_count(node):
count[0] += 1
return True
root.foreach_descendant_top_down(inc_count)
assert(count[0] == 8)
count = [0]
def inc_count(node):
count[0] += 1
return False
root.foreach_descendant_top_down(inc_count)
assert(count[0] == 1)
def is_not_domain(node):
return type(node) != isl.schedule_node_domain
assert(root.child(0).every_descendant(is_not_domain))
assert(not root.every_descendant(is_not_domain))
def fail(node):
raise Exception("fail")
caught = False
try:
root.every_descendant(fail)
except:
caught = True
assert(caught)
domain = root.domain()
filters = [isl.union_set("{}")]
def collect_filters(node):
if type(node) == isl.schedule_node_filter:
filters[0] = filters[0].union(node.filter())
return True
root.every_descendant(collect_filters)
assert(domain.is_equal(filters[0]))
# Test marking band members for unrolling.
# "schedule" is the schedule created by construct_schedule_tree.
# It schedules two statements, with 10 and 20 instances, respectively.
# Unrolling all band members therefore results in 30 at-domain calls
# by the AST generator.
#
def test_ast_build_unroll(schedule):
root = schedule.root()
def mark_unroll(node):
if type(node) == isl.schedule_node_band:
node = node.member_set_ast_loop_unroll(0)
return node
root = root.map_descendant_bottom_up(mark_unroll)
schedule = root.schedule()
count_ast = [0]
def inc_count_ast(node, build):
count_ast[0] += 1
return node
build = isl.ast_build()
build = build.set_at_each_domain(inc_count_ast)
ast = build.node_from(schedule)
assert(count_ast[0] == 30)
# Test basic AST generation from a schedule tree.
#
# In particular, create a simple schedule tree and
# - generate an AST from the schedule tree
# - test at_each_domain
# - test unrolling
#
def test_ast_build():
schedule = construct_schedule_tree()
count_ast = [0]
def inc_count_ast(node, build):
count_ast[0] += 1
return node
build = isl.ast_build()
build_copy = build.set_at_each_domain(inc_count_ast)
ast = build.node_from(schedule)
assert(count_ast[0] == 0)
count_ast[0] = 0
ast = build_copy.node_from(schedule)
assert(count_ast[0] == 2)
build = build_copy
count_ast[0] = 0
ast = build.node_from(schedule)
assert(count_ast[0] == 2)
do_fail = True
count_ast_fail = [0]
def fail_inc_count_ast(node, build):
count_ast_fail[0] += 1
if do_fail:
raise Exception("fail")
return node
build = isl.ast_build()
build = build.set_at_each_domain(fail_inc_count_ast)
caught = False
try:
ast = build.node_from(schedule)
except:
caught = True
assert(caught)
assert(count_ast_fail[0] > 0)
build_copy = build
build_copy = build_copy.set_at_each_domain(inc_count_ast)
count_ast[0] = 0
ast = build_copy.node_from(schedule)
assert(count_ast[0] == 2)
count_ast_fail[0] = 0
do_fail = False
ast = build.node_from(schedule)
assert(count_ast_fail[0] == 2)
test_ast_build_unroll(schedule)
# Test basic AST expression generation from an affine expression.
#
def test_ast_build_expr():
pa = isl.pw_aff("[n] -> { [n + 1] }")
build = isl.ast_build.from_context(pa.domain())
op = build.expr_from(pa)
assert(type(op) == isl.ast_expr_op_add)
assert(op.n_arg() == 2)
# Test the isl Python interface
#
# This includes:
# - Object construction
# - Different parameter types
# - Different return types
# - isl.id.user
# - Foreach functions
# - Foreach SCC function
# - Every functions
# - Spaces
# - Schedule trees
# - AST generation
# - AST expression generation
#
test_constructors()
test_parameters()
test_return()
test_user()
test_foreach()
test_foreach_scc()
test_every()
test_space()
test_schedule_tree()
test_ast_build()
test_ast_build_expr()