def test_unaryoperation_node_str():
''' Check the view method of the UnaryOperation class.'''
ref1 = Reference(DataSymbol("a", REAL_SINGLE_TYPE))
unary_operation = UnaryOperation.create(UnaryOperation.Operator.MINUS,
ref1)
coloredtext = colored("UnaryOperation", UnaryOperation._colour)
assert coloredtext+"[operator:'MINUS']" in unary_operation.node_str()
def test_array_range_with_reduction():
''' Test that we correctly identify an array range when it is the result
of a reduction from an array, e.g x(1, INT(SUM(map(:, :), 1))) = 1.0
'''
one = Literal("1.0", REAL_TYPE)
int_one = Literal("1", INTEGER_TYPE)
int_two = Literal("2", INTEGER_TYPE)
int_array_type = ArrayType(INTEGER_SINGLE_TYPE, [10, 10])
map_sym = DataSymbol("map", int_array_type)
array_type = ArrayType(REAL_TYPE, [10, 10])
symbol = DataSymbol("x", array_type)
lbound1 = BinaryOperation.create(BinaryOperation.Operator.LBOUND,
Reference(map_sym), int_one.copy())
ubound1 = BinaryOperation.create(BinaryOperation.Operator.UBOUND,
Reference(map_sym), int_one.copy())
my_range1 = Range.create(lbound1, ubound1)
lbound2 = BinaryOperation.create(BinaryOperation.Operator.LBOUND,
Reference(map_sym), int_two.copy())
ubound2 = BinaryOperation.create(BinaryOperation.Operator.UBOUND,
Reference(map_sym), int_two.copy())
my_range2 = Range.create(lbound2, ubound2)
bsum_op = BinaryOperation.create(
BinaryOperation.Operator.SUM,
ArrayReference.create(map_sym, [my_range1, my_range2]), int_one.copy())
int_op2 = UnaryOperation.create(UnaryOperation.Operator.INT, bsum_op)
assignment = Assignment.create(
ArrayReference.create(symbol, [int_one.copy(), int_op2]), one.copy())
assert assignment.is_array_range is True
def example_psyir(create_expression):
'''Utility function that creates a PSyIR tree containing an ABS
intrinsic operator and returns the operator.
:param function create_expresssion: function used to create the \
content of the ABS operator.
:returns: PSyIR ABS operator instance.
:rtype: :py:class:`psyclone.psyGen.UnaryOperation`
'''
symbol_table = SymbolTable()
arg1 = symbol_table.new_symbol("arg",
symbol_type=DataSymbol,
datatype=REAL_TYPE,
interface=ArgumentInterface(
ArgumentInterface.Access.READWRITE))
local = symbol_table.new_symbol(symbol_type=DataSymbol, datatype=REAL_TYPE)
symbol_table.specify_argument_list([arg1])
var1 = Reference(arg1)
var2 = Reference(local)
oper = UnaryOperation.Operator.ABS
operation = UnaryOperation.create(oper, create_expression(var1))
assign = Assignment.create(var2, operation)
_ = KernelSchedule.create("abs_example", symbol_table, [assign])
return operation
def test_cw_array():
'''Check the CWriter class array method correctly prints
out the C representation of an array.
'''
cwriter = CWriter()
symbol = DataSymbol('a', REAL_TYPE)
arr = ArrayReference(symbol)
lit = Literal('0.0', REAL_TYPE)
assignment = Assignment.create(arr, lit)
# An array without any children (dimensions) should produce an error.
with pytest.raises(VisitorError) as excinfo:
result = cwriter(assignment)
assert "Arrays must have at least 1 dimension but found node: '" \
in str(excinfo.value)
# Dimensions can be references, literals or operations
arr.addchild(Reference(DataSymbol('b', INTEGER_TYPE), parent=arr))
arr.addchild(Literal('1', INTEGER_TYPE, parent=arr))
uop = UnaryOperation.create(UnaryOperation.Operator.MINUS,
Literal('2', INTEGER_TYPE))
uop.parent = arr
arr.addchild(uop)
result = cwriter(assignment)
# Results is reversed and flatten (row-major 1D)
# dimensions are called <name>LEN<dimension> by convention
assert result == "a[(-2) * aLEN2 * aLEN1 + 1 * aLEN1 + b] = 0.0;\n"
def test_validate():
'''Check that the validate method raises exceptions as expected.'''
dummy = DummyTrans()
# operator_name, classes and operators are usually set by the
# Transformation's __init__ method but set them manually here to
# avoid creating multiple implementations of DummyTrans.
dummy._operator_name = "hello"
dummy._classes = (UnaryOperation, )
dummy._operators = (UnaryOperation.Operator.ABS, )
var = Literal("0.0", REAL_TYPE)
operator = UnaryOperation.create(UnaryOperation.Operator.ABS, var)
with pytest.raises(TransformationError) as excinfo:
dummy.validate(operator)
assert ("This transformation requires the operator to be part of an "
"assignment statement, but no such assignment was found."
in str(excinfo.value))
reference = Reference(DataSymbol("fred", REAL_TYPE))
_ = Assignment.create(lhs=reference, rhs=operator)
with pytest.raises(TransformationError) as excinfo:
dummy.validate(None)
assert ("The supplied node argument is not a hello operator, found "
"'NoneType'." in str(excinfo.value))
with pytest.raises(TransformationError) as excinfo:
dummy.validate(UnaryOperation(UnaryOperation.Operator.SIN, var))
assert ("Error in Hello2CodeTrans transformation. The supplied node "
"operator is invalid, found 'Operator.SIN'." in str(excinfo.value))
dummy.validate(operator)
def test_unaryoperation_node_str():
''' Check the view method of the UnaryOperation class.'''
from psyclone.psyir.nodes.node import colored, SCHEDULE_COLOUR_MAP
ref1 = Reference(DataSymbol("a", REAL_SINGLE_TYPE))
unary_operation = UnaryOperation.create(UnaryOperation.Operator.MINUS,
ref1)
coloredtext = colored("UnaryOperation", SCHEDULE_COLOUR_MAP["Operation"])
assert coloredtext + "[operator:'MINUS']" in unary_operation.node_str()
def test_is_not_array_range():
''' Test that is_array_range correctly rejects things that aren't
an assignment to an array range.
'''
int_one = Literal("1", INTEGER_SINGLE_TYPE)
one = Literal("1.0", REAL_TYPE)
var = DataSymbol("x", REAL_TYPE)
reference = Reference(var)
# lhs is not an array
assignment = Assignment.create(reference, one)
assert assignment.is_array_range is False
# lhs is an array reference but has no range
array_type = ArrayType(REAL_TYPE, [10, 10])
symbol = DataSymbol("y", array_type)
array_ref = Reference(symbol)
assignment = Assignment.create(array_ref, one.copy())
assert assignment.is_array_range is False
# lhs is an array reference but the single index value is obtained
# using an array range, y(1, SUM(map(:), 1)) = 1.0
int_array_type = ArrayType(INTEGER_SINGLE_TYPE, [10])
map_sym = DataSymbol("map", int_array_type)
start = BinaryOperation.create(BinaryOperation.Operator.LBOUND,
Reference(map_sym), int_one.copy())
stop = BinaryOperation.create(BinaryOperation.Operator.UBOUND,
Reference(map_sym), int_one.copy())
my_range = Range.create(start, stop)
sum_op = BinaryOperation.create(BinaryOperation.Operator.SUM,
ArrayReference.create(map_sym, [my_range]),
int_one.copy())
assignment = Assignment.create(
ArrayReference.create(symbol, [int_one.copy(), sum_op]), one.copy())
assert assignment.is_array_range is False
# When the slice has two operator ancestors, one of which is a reduction
# e.g y(1, SUM(ABS(map(:)), 1)) = 1.0
abs_op = UnaryOperation.create(
UnaryOperation.Operator.ABS,
ArrayReference.create(map_sym, [my_range.copy()]))
sum_op2 = BinaryOperation.create(BinaryOperation.Operator.SUM, abs_op,
int_one.copy())
assignment = Assignment.create(
ArrayReference.create(symbol, [int_one.copy(), sum_op2]), one.copy())
assert assignment.is_array_range is False
# lhs is a scalar member of a structure
grid_type = StructureType.create([
("dx", REAL_SINGLE_TYPE, Symbol.Visibility.PUBLIC),
("dy", REAL_SINGLE_TYPE, Symbol.Visibility.PUBLIC)
])
grid_type_symbol = DataTypeSymbol("grid_type", grid_type)
grid_sym = DataSymbol("grid", grid_type_symbol)
assignment = Assignment.create(StructureReference.create(grid_sym, ["dx"]),
one.copy())
assert assignment.is_array_range is False
def test_correct_2abs(tmpdir):
'''Check that a valid example produces the expected output when there
is more than one ABS() in an expression.
'''
Config.get().api = "nemo"
operation = example_psyir(
lambda arg: BinaryOperation.create(
BinaryOperation.Operator.MUL, arg,
Literal("3.14", REAL_TYPE)))
root = operation.root
assignment = operation.parent
abs_op = UnaryOperation.create(UnaryOperation.Operator.ABS,
Literal("1.0", REAL_TYPE))
operation.detach()
op1 = BinaryOperation.create(BinaryOperation.Operator.ADD,
operation, abs_op)
assignment.addchild(op1)
writer = FortranWriter()
result = writer(root)
assert (
"subroutine abs_example(arg)\n"
" real, intent(inout) :: arg\n"
" real :: psyir_tmp\n\n"
" psyir_tmp = ABS(arg * 3.14) + ABS(1.0)\n\n"
"end subroutine abs_example\n") in result
trans = Abs2CodeTrans()
trans.apply(operation, root.symbol_table)
trans.apply(abs_op, root.symbol_table)
result = writer(root)
assert (
"subroutine abs_example(arg)\n"
" real, intent(inout) :: arg\n"
" real :: psyir_tmp\n"
" real :: res_abs\n"
" real :: tmp_abs\n"
" real :: res_abs_1\n"
" real :: tmp_abs_1\n\n"
" tmp_abs = arg * 3.14\n"
" if (tmp_abs > 0.0) then\n"
" res_abs = tmp_abs\n"
" else\n"
" res_abs = tmp_abs * -1.0\n"
" end if\n"
" tmp_abs_1 = 1.0\n"
" if (tmp_abs_1 > 0.0) then\n"
" res_abs_1 = tmp_abs_1\n"
" else\n"
" res_abs_1 = tmp_abs_1 * -1.0\n"
" end if\n"
" psyir_tmp = res_abs + res_abs_1\n\n"
"end subroutine abs_example\n") in result
assert Compile(tmpdir).string_compiles(result)
# Remove the created config instance
Config._instance = None
def test_unaryoperation_create():
'''Test that the create method in the UnaryOperation class correctly
creates a UnaryOperation instance.
'''
child = Reference(DataSymbol("tmp", REAL_SINGLE_TYPE))
oper = UnaryOperation.Operator.SIN
unaryoperation = UnaryOperation.create(oper, child)
check_links(unaryoperation, [child])
result = FortranWriter().unaryoperation_node(unaryoperation)
assert result == "SIN(tmp)"
def test_unaryoperation_create_invalid():
'''Test that the create method in a UnaryOperation class raises the
expected exception if the provided input is invalid.
'''
# oper not a UnaryOperator.Operator.
with pytest.raises(GenerationError) as excinfo:
_ = UnaryOperation.create(
"invalid", Reference(DataSymbol("tmp", REAL_SINGLE_TYPE)))
assert ("oper argument in create method of UnaryOperation class should "
"be a PSyIR UnaryOperation Operator but found 'str'."
in str(excinfo.value))
def apply(self, node, options=None):
'''Apply this transformation to the supplied node.
:param node: the node to transform.
:type node: :py:class:`psyclone.psyir.nodes.Routine`
:param options: a dictionary with options for transformations.
:type options: dict of string:values or None
:returns: 2-tuple of new schedule and memento of transform.
:rtype: (:py:class:`psyclone.psyGen.InvokeSchedule`, \
:py:class:`psyclone.undoredo.Memento`)
'''
routine = node
self.validate(routine, options)
def is_conditional_return(node):
'''
:param node: node to evaluate.
:type node: :py:class:`psyclone.psyir.nodes.Node`
:returns: whether the given node represents a conditional return \
expression.
'''
if not isinstance(node, IfBlock):
return False
if node.else_body is not None:
return False
return isinstance(node.if_body[0], Return)
for statement in routine[:]:
if is_conditional_return(statement):
# Reverse condition adding a NOT operator
new_condition = UnaryOperation.create(
UnaryOperation.Operator.NOT, statement.condition)
statement.children[0] = new_condition
new_condition.parent = statement
# Remove return statement (and any dead code inside the loop)
statement.if_body.children = []
# Then move any remaining statement after the conditional
# statement inside the loop body
while len(statement.parent.children) > statement.position + 1:
move = statement.parent.children.pop()
statement.if_body.children.insert(0, move)
move.parent = statement.if_body
def test_is_array_range():
'''test that the is_array_range method behaves as expected, returning
true if the LHS of the assignment is an array range access.
'''
one = Literal("1.0", REAL_TYPE)
int_one = Literal("1", INTEGER_TYPE)
int_ten = Literal("10", INTEGER_TYPE)
# lhs is an array reference with a range
array_type = ArrayType(REAL_TYPE, [10, 10])
symbol = DataSymbol("x", array_type)
x_range = Range.create(int_one, int_ten.copy(), int_one.copy())
array_ref = ArrayReference.create(symbol, [x_range, int_one.copy()])
assignment = Assignment.create(array_ref, one.copy())
assert assignment.is_array_range is True
# Check when lhs consists of various forms of structure access
grid_type = StructureType.create([
("dx", REAL_SINGLE_TYPE, Symbol.Visibility.PUBLIC),
("dy", REAL_SINGLE_TYPE, Symbol.Visibility.PUBLIC)
])
grid_type_symbol = DataTypeSymbol("grid_type", grid_type)
# Create the definition of the 'field_type', contains array of grid_types
field_type_def = StructureType.create([
("data", ArrayType(REAL_SINGLE_TYPE, [10]), Symbol.Visibility.PUBLIC),
("sub_meshes", ArrayType(grid_type_symbol,
[3]), Symbol.Visibility.PUBLIC)
])
field_type_symbol = DataTypeSymbol("field_type", field_type_def)
field_symbol = DataSymbol("wind", field_type_symbol)
# Array reference to component of derived type using a range
lbound = BinaryOperation.create(
BinaryOperation.Operator.LBOUND,
StructureReference.create(field_symbol, ["data"]), int_one.copy())
ubound = BinaryOperation.create(
BinaryOperation.Operator.UBOUND,
StructureReference.create(field_symbol, ["data"]), int_one.copy())
my_range = Range.create(lbound, ubound)
data_ref = StructureReference.create(field_symbol, [("data", [my_range])])
assign = Assignment.create(data_ref, one.copy())
assert assign.is_array_range is True
# Access to slice of 'sub_meshes': wind%sub_meshes(1:3)%dx = 1.0
sub_range = Range.create(int_one.copy(), Literal("3", INTEGER_TYPE))
dx_ref = StructureReference.create(field_symbol,
[("sub_meshes", [sub_range]), "dx"])
sub_assign = Assignment.create(dx_ref, one.copy())
assert sub_assign.is_array_range is True
# Create an array of these derived types and assign to a slice:
# chi(1:10)%data(1) = 1.0
field_bundle_symbol = DataSymbol("chi", ArrayType(field_type_symbol, [3]))
fld_range = Range.create(int_one.copy(), Literal("10", INTEGER_TYPE))
fld_ref = ArrayOfStructuresReference.create(field_bundle_symbol,
[fld_range],
[("data", [int_one.copy()])])
fld_assign = Assignment.create(fld_ref, one.copy())
assert fld_assign.is_array_range is True
# When the slice has two operator ancestors, none of which are a reduction
# e.g y(1, INT(ABS(map(:, 1)))) = 1.0
int_array_type = ArrayType(INTEGER_SINGLE_TYPE, [10, 10])
map_sym = DataSymbol("map", int_array_type)
lbound1 = BinaryOperation.create(BinaryOperation.Operator.LBOUND,
Reference(map_sym), int_one.copy())
ubound1 = BinaryOperation.create(BinaryOperation.Operator.UBOUND,
Reference(map_sym), int_one.copy())
my_range1 = Range.create(lbound1, ubound1)
abs_op = UnaryOperation.create(
UnaryOperation.Operator.ABS,
ArrayReference.create(map_sym, [my_range1, int_one.copy()]))
int_op = UnaryOperation.create(UnaryOperation.Operator.INT, abs_op)
assignment = Assignment.create(
ArrayReference.create(symbol, [int_one.copy(), int_op]), one.copy())
assert assignment.is_array_range is True
def create_psyir_tree():
''' Create an example PSyIR Tree.
:returns: an example PSyIR tree.
:rtype: :py:class:`psyclone.psyir.nodes.Container`
'''
# Symbol table, symbols and scalar datatypes
symbol_table = SymbolTable()
arg1 = symbol_table.new_symbol(symbol_type=DataSymbol,
datatype=REAL_TYPE,
interface=ArgumentInterface(
ArgumentInterface.Access.READWRITE))
symbol_table.specify_argument_list([arg1])
tmp_symbol = symbol_table.new_symbol(symbol_type=DataSymbol,
datatype=REAL_DOUBLE_TYPE)
index_symbol = symbol_table.new_symbol(root_name="i",
symbol_type=DataSymbol,
datatype=INTEGER4_TYPE)
real_kind = symbol_table.new_symbol(root_name="RKIND",
symbol_type=DataSymbol,
datatype=INTEGER_TYPE,
constant_value=8)
routine_symbol = RoutineSymbol("my_sub")
# Array using precision defined by another symbol
scalar_type = ScalarType(ScalarType.Intrinsic.REAL, real_kind)
array = symbol_table.new_symbol(root_name="a",
symbol_type=DataSymbol,
datatype=ArrayType(scalar_type, [10]))
# Make generators for nodes which do not have other Nodes as children,
# with some predefined scalar datatypes
def zero():
return Literal("0.0", REAL_TYPE)
def one():
return Literal("1.0", REAL4_TYPE)
def two():
return Literal("2.0", scalar_type)
def int_zero():
return Literal("0", INTEGER_SINGLE_TYPE)
def int_one():
return Literal("1", INTEGER8_TYPE)
def tmp1():
return Reference(arg1)
def tmp2():
return Reference(tmp_symbol)
# Unary Operation
oper = UnaryOperation.Operator.SIN
unaryoperation = UnaryOperation.create(oper, tmp2())
# Binary Operation
oper = BinaryOperation.Operator.ADD
binaryoperation = BinaryOperation.create(oper, one(), unaryoperation)
# Nary Operation
oper = NaryOperation.Operator.MAX
naryoperation = NaryOperation.create(oper, [tmp1(), tmp2(), one()])
# Array reference using a range
lbound = BinaryOperation.create(BinaryOperation.Operator.LBOUND,
Reference(array), int_one())
ubound = BinaryOperation.create(BinaryOperation.Operator.UBOUND,
Reference(array), int_one())
my_range = Range.create(lbound, ubound)
tmparray = ArrayReference.create(array, [my_range])
# Assignments
assign1 = Assignment.create(tmp1(), zero())
assign2 = Assignment.create(tmp2(), zero())
assign3 = Assignment.create(tmp2(), binaryoperation)
assign4 = Assignment.create(tmp1(), tmp2())
assign5 = Assignment.create(tmp1(), naryoperation)
assign6 = Assignment.create(tmparray, two())
# Call
call = Call.create(routine_symbol, [tmp1(), binaryoperation.copy()])
# If statement
if_condition = BinaryOperation.create(BinaryOperation.Operator.GT, tmp1(),
zero())
ifblock = IfBlock.create(if_condition, [assign3, assign4])
# Loop
loop = Loop.create(index_symbol, int_zero(), int_one(), int_one(),
[ifblock])
# KernelSchedule
kernel_schedule = KernelSchedule.create(
"work", symbol_table, [assign1, call, assign2, loop, assign5, assign6])
# Container
container_symbol_table = SymbolTable()
container = Container.create("CONTAINER", container_symbol_table,
[kernel_schedule])
# Import data from another container
external_container = ContainerSymbol("some_mod")
container_symbol_table.add(external_container)
external_var = DataSymbol("some_var",
INTEGER_TYPE,
interface=GlobalInterface(external_container))
container_symbol_table.add(external_var)
routine_symbol.interface = GlobalInterface(external_container)
container_symbol_table.add(routine_symbol)
return container
def create_psyir_tree():
''' Create an example PSyIR Tree.
:returns: an example PSyIR tree.
:rtype: :py:class:`psyclone.psyir.nodes.Container`
'''
# Symbol table, symbols and scalar datatypes
symbol_table = SymbolTable()
arg1 = symbol_table.new_symbol(symbol_type=DataSymbol,
datatype=REAL_TYPE,
interface=ArgumentInterface(
ArgumentInterface.Access.READWRITE))
symbol_table.specify_argument_list([arg1])
tmp_symbol = symbol_table.new_symbol(symbol_type=DataSymbol,
datatype=REAL_DOUBLE_TYPE)
index_symbol = symbol_table.new_symbol(root_name="i",
symbol_type=DataSymbol,
datatype=INTEGER4_TYPE)
real_kind = symbol_table.new_symbol(root_name="RKIND",
symbol_type=DataSymbol,
datatype=INTEGER_TYPE,
constant_value=8)
routine_symbol = RoutineSymbol("my_sub")
# Array using precision defined by another symbol
scalar_type = ScalarType(ScalarType.Intrinsic.REAL, real_kind)
array = symbol_table.new_symbol(root_name="a",
symbol_type=DataSymbol,
datatype=ArrayType(scalar_type, [10]))
# Nodes which do not have Nodes as children and (some) predefined
# scalar datatypes
# TODO: Issue #1136 looks at how to avoid all of the _x versions
zero_1 = Literal("0.0", REAL_TYPE)
zero_2 = Literal("0.0", REAL_TYPE)
zero_3 = Literal("0.0", REAL_TYPE)
one_1 = Literal("1.0", REAL4_TYPE)
one_2 = Literal("1.0", REAL4_TYPE)
one_3 = Literal("1.0", REAL4_TYPE)
two = Literal("2.0", scalar_type)
int_zero = Literal("0", INTEGER_SINGLE_TYPE)
int_one_1 = Literal("1", INTEGER8_TYPE)
int_one_2 = Literal("1", INTEGER8_TYPE)
int_one_3 = Literal("1", INTEGER8_TYPE)
int_one_4 = Literal("1", INTEGER8_TYPE)
tmp1_1 = Reference(arg1)
tmp1_2 = Reference(arg1)
tmp1_3 = Reference(arg1)
tmp1_4 = Reference(arg1)
tmp1_5 = Reference(arg1)
tmp1_6 = Reference(arg1)
tmp2_1 = Reference(tmp_symbol)
tmp2_2 = Reference(tmp_symbol)
tmp2_3 = Reference(tmp_symbol)
tmp2_4 = Reference(tmp_symbol)
tmp2_5 = Reference(tmp_symbol)
tmp2_6 = Reference(tmp_symbol)
# Unary Operation
oper = UnaryOperation.Operator.SIN
unaryoperation_1 = UnaryOperation.create(oper, tmp2_1)
unaryoperation_2 = UnaryOperation.create(oper, tmp2_2)
# Binary Operation
oper = BinaryOperation.Operator.ADD
binaryoperation_1 = BinaryOperation.create(oper, one_1, unaryoperation_1)
binaryoperation_2 = BinaryOperation.create(oper, one_2, unaryoperation_2)
# Nary Operation
oper = NaryOperation.Operator.MAX
naryoperation = NaryOperation.create(oper, [tmp1_1, tmp2_3, one_3])
# Array reference using a range
lbound = BinaryOperation.create(BinaryOperation.Operator.LBOUND,
Reference(array), int_one_1)
ubound = BinaryOperation.create(BinaryOperation.Operator.UBOUND,
Reference(array), int_one_2)
my_range = Range.create(lbound, ubound)
tmparray = ArrayReference.create(array, [my_range])
# Assignments
assign1 = Assignment.create(tmp1_2, zero_1)
assign2 = Assignment.create(tmp2_4, zero_2)
assign3 = Assignment.create(tmp2_5, binaryoperation_1)
assign4 = Assignment.create(tmp1_3, tmp2_6)
assign5 = Assignment.create(tmp1_4, naryoperation)
assign6 = Assignment.create(tmparray, two)
# Call
call = Call.create(routine_symbol, [tmp1_5, binaryoperation_2])
# If statement
if_condition = BinaryOperation.create(BinaryOperation.Operator.GT, tmp1_6,
zero_3)
ifblock = IfBlock.create(if_condition, [assign3, assign4])
# Loop
loop = Loop.create(index_symbol, int_zero, int_one_3, int_one_4, [ifblock])
# KernelSchedule
kernel_schedule = KernelSchedule.create(
"work", symbol_table, [assign1, call, assign2, loop, assign5, assign6])
# Container
container_symbol_table = SymbolTable()
container = Container.create("CONTAINER", container_symbol_table,
[kernel_schedule])
# Import data from another container
external_container = ContainerSymbol("some_mod")
container_symbol_table.add(external_container)
external_var = DataSymbol("some_var",
INTEGER_TYPE,
interface=GlobalInterface(external_container))
container_symbol_table.add(external_var)
routine_symbol.interface = GlobalInterface(external_container)
container_symbol_table.add(routine_symbol)
return container
def apply(self, node, options=None):
'''Apply the SIGN intrinsic conversion transformation to the specified
node. This node must be a SIGN BinaryOperation. The SIGN
BinaryOperation is converted to equivalent inline code. This
is implemented as a PSyIR transform from:
.. code-block:: python
R = ... SIGN(A, B) ...
to:
.. code-block:: python
tmp_abs = A
if tmp_abs < 0.0:
res_abs = tmp_abs*-1.0
else:
res_abs = tmp_abs
res_sign = res_abs
tmp_sign = B
if tmp_sign < 0.0:
res_sign = res_sign*-1.0
R = ... res_sign ...
where ``A`` and ``B`` could be arbitrarily complex PSyIR
expressions, ``...`` could be arbitrary PSyIR code and where
``ABS`` has been replaced with inline code by the NemoAbsTrans
transformation.
This transformation requires the operation node to be a
descendent of an assignment and will raise an exception if
this is not the case.
:param node: a SIGN BinaryOperation node.
:type node: :py:class:`psyclone.psyGen.BinaryOperation`
:param symbol_table: the symbol table.
:type symbol_table: :py:class:`psyclone.psyir.symbols.SymbolTable`
:param options: a dictionary with options for transformations.
:type options: dictionary of string:values or None
'''
# pylint: disable=too-many-locals
self.validate(node)
schedule = node.root
symbol_table = schedule.symbol_table
oper_parent = node.parent
assignment = node.ancestor(Assignment)
# Create two temporary variables. There is an assumption here
# that the SIGN Operator returns a PSyIR real type. This might
# not be what is wanted (e.g. the args might PSyIR integers),
# or there may be errors (arguments are of different types)
# but this can't be checked as we don't have the appropriate
# methods to query nodes (see #658).
res_var_symbol = symbol_table.new_symbol("res_sign",
symbol_type=DataSymbol,
datatype=REAL_TYPE)
tmp_var_symbol = symbol_table.new_symbol("tmp_sign",
symbol_type=DataSymbol,
datatype=REAL_TYPE)
# Replace operator with a temporary (res_var).
oper_parent.children[node.position] = Reference(res_var_symbol,
parent=oper_parent)
# Extract the operand nodes
op1, op2 = node.pop_all_children()
# res_var=ABS(A)
lhs = Reference(res_var_symbol)
rhs = UnaryOperation.create(UnaryOperation.Operator.ABS, op1)
new_assignment = Assignment.create(lhs, rhs)
assignment.parent.children.insert(assignment.position, new_assignment)
# Replace the ABS intrinsic with inline code.
abs_trans = Abs2CodeTrans()
abs_trans.apply(rhs, symbol_table)
# tmp_var=B
lhs = Reference(tmp_var_symbol)
new_assignment = Assignment.create(lhs, op2)
assignment.parent.children.insert(assignment.position, new_assignment)
# if_condition: tmp_var<0.0
lhs = Reference(tmp_var_symbol)
rhs = Literal("0.0", REAL_TYPE)
if_condition = BinaryOperation.create(BinaryOperation.Operator.LT, lhs,
rhs)
# then_body: res_var=res_var*-1.0
lhs = Reference(res_var_symbol)
lhs_child = Reference(res_var_symbol)
rhs_child = Literal("-1.0", REAL_TYPE)
rhs = BinaryOperation.create(BinaryOperation.Operator.MUL, lhs_child,
rhs_child)
then_body = [Assignment.create(lhs, rhs)]
# if [if_condition] then [then_body]
if_stmt = IfBlock.create(if_condition, then_body)
assignment.parent.children.insert(assignment.position, if_stmt)
ARRAY = DataSymbol(ARRAY_NAME, ArrayType(SCALAR_TYPE, [10]))
SYMBOL_TABLE.add(ARRAY)
# Nodes which do not have Nodes as children and (some) predefined
# scalar datatypes
ZERO = Literal("0.0", REAL_TYPE)
ONE = Literal("1.0", REAL4_TYPE)
TWO = Literal("2.0", SCALAR_TYPE)
INT_ZERO = Literal("0", INTEGER_SINGLE_TYPE)
INT_ONE = Literal("1", INTEGER8_TYPE)
TMP1 = Reference(ARG1)
TMP2 = Reference(TMP_SYMBOL)
# Unary Operation
OPER = UnaryOperation.Operator.SIN
UNARYOPERATION = UnaryOperation.create(OPER, TMP2)
# Binary Operation
OPER = BinaryOperation.Operator.ADD
BINARYOPERATION = BinaryOperation.create(OPER, ONE, UNARYOPERATION)
# Nary Operation
OPER = NaryOperation.Operator.MAX
NARYOPERATION = NaryOperation.create(OPER, [TMP1, TMP2, ONE])
# Array reference using a range
LBOUND = BinaryOperation.create(BinaryOperation.Operator.LBOUND,
Reference(ARRAY), INT_ONE)
UBOUND = BinaryOperation.create(BinaryOperation.Operator.UBOUND,
Reference(ARRAY), INT_ONE)
MY_RANGE = Range.create(LBOUND, UBOUND)