from spec_util import abstract, setnodedefaults
class Op(object):
- "Base class for firm nodes"
+ """Base class for firm nodes"""
abstract(Op)
class Unop(Op):
- "Unary nodes have exactly 1 input"
+ """Unary nodes have exactly 1 input"""
name = "unop"
- ins = [ "op" ]
+ ins = [
+ ("op", "operand"),
+ ]
op_index = 0
pinned = "no"
abstract(Unop)
class Binop(Op):
- "Binary nodes have exactly 2 inputs"
+ """Binary nodes have exactly 2 inputs"""
name = "binop"
- ins = [ "left", "right" ]
+ ins = [
+ ( "left", "first operand" ),
+ ( "right", "second operand" ),
+ ]
op_index = 0
pinned = "no"
abstract(Binop)
class Add(Binop):
- flags = ["commutative"]
+ """returns the sum of its operands"""
+ flags = [ "commutative" ]
class Alloc(Op):
- ins = [ "mem", "count" ]
+ """allocates a block of memory.
+ It can be specified whether the variable should be allocated to the stack
+ or to the heap."""
+ ins = [
+ ("mem", "memory dependency" ),
+ ("count", "number of objects to allocate" ),
+ ]
outs = [
("M", "memory result", "pn_Generic_M"),
("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
("X_except", "control flow when exception occured", "pn_Generic_X_except"),
("res", "pointer to newly allocated memory", "pn_Generic_other"),
]
- flags = [ "fragile", "uses_memory" ]
attrs = [
dict(
- name = "type",
- type = "ir_type*"
+ name = "type",
+ type = "ir_type*",
+ comment = "type of the allocated variable",
),
dict(
- name = "where",
- type = "ir_where_alloc"
+ name = "where",
+ type = "ir_where_alloc",
+ comment = "whether to allocate the variable on the stack or heap",
)
]
+ flags = [ "fragile", "uses_memory" ]
pinned = "yes"
attr_struct = "alloc_attr"
class Anchor(Op):
+ """utiliy node used to "hold" nodes in a graph that might possibly not be
+ reachable by other means or which should be reachable immediately without
+ searching through the graph.
+ Each firm-graph contains exactly one anchor node whose address is always
+ known. All other well-known graph-nodes like Start, End, NoMem, Bad, ...
+ are found by looking at the respective Anchor operand."""
mode = "mode_ANY"
arity = "variable"
flags = [ "dump_noblock" ]
customSerializer = True
class And(Binop):
+ """returns the result of a bitwise and operation of its operands"""
flags = [ "commutative" ]
class ASM(Op):
+ """executes assembler fragments of the target machine"""
mode = "mode_T"
arity = "variable"
flags = [ "keep", "uses_memory" ]
customSerializer = True
attrs = [
dict(
- name = "input_constraints",
- type = "ir_asm_constraint*",
+ name = "input_constraints",
+ type = "ir_asm_constraint*",
+ comment = "input constraints",
),
dict(
- name = "n_output_constraints",
- type = "int",
- noprop = True,
+ name = "n_output_constraints",
+ type = "int",
+ noprop = True,
+ comment = "number of output constraints",
),
dict(
- name = "output_constraints",
- type = "ir_asm_constraint*",
+ name = "output_constraints",
+ type = "ir_asm_constraint*",
+ comment = "output constraints",
),
dict(
- name = "n_clobbers",
- type = "int",
- noprop = True,
+ name = "n_clobbers",
+ type = "int",
+ noprop = True,
+ comment = "number of clobbered registers/memory",
),
dict(
- name = "clobbers",
- type = "ident**",
+ name = "clobbers",
+ type = "ident**",
+ comment = "list of clobbered registers/memory",
),
dict(
- name = "text",
- type = "ident*",
+ name = "text",
+ type = "ident*",
+ comment = "assembler text",
),
]
+ # constructor is written manually at the moment, because of the clobbers+
+ # constraints arrays needing special handling (2 arguments for 1 attribute)
+ noconstructor = True
class Bad(Op):
+ """Bad nodes indicate invalid input, which is values which should never be
+ computed.
+
+ The typical use case for the Bad node is removing unreachable code.
+ Frontends should set the current_block to Bad when it is clear that
+ following code must be unreachable (ie. after a goto or return statement).
+ Optimisations also set block predecessors to Bad when it becomes clear,
+ that a control flow edge can never be executed.
+
+ The gigo optimisations ensures that nodes with Bad as their block, get
+ replaced by Bad themselfes. Nodes with at least 1 Bad input get exchanged
+ with Bad too. Exception to this rule are Block, Phi, Tuple and End node;
+ This is because removing inputs from a Block is hairy operation (requiring,
+ Phis to be shortened too for example). So instead of removing block inputs
+ they are set to Bad, and the actual removal is left to the control flow
+ optimisation phase. Block, Phi, Tuple with only Bad inputs however are
+ replaced by Bad right away."""
mode = "mode_T"
flags = [ "cfopcode", "start_block", "dump_noblock" ]
pinned = "yes"
'''
class Deleted(Op):
+ """Internal node which is temporary set to nodes which are already removed
+ from the graph."""
mode = "mode_Bad"
flags = [ ]
pinned = "yes"
customSerializer = True
class Block(Op):
+ """A basic block"""
mode = "mode_BB"
knownBlock = True
block = "NULL"
'''
class Borrow(Binop):
+ """Returns the borrow bit from and implied subtractions of its 2 operands"""
flags = []
class Bound(Op):
- ins = [ "mem", "index", "lower", "upper" ]
+ """Performs a bounds-check: if lower <= index < upper then return index,
+ otherwise throw an exception."""
+ ins = [
+ ("mem", "memory dependency"),
+ ("index", "value to test"),
+ ("lower", "lower bound (inclusive)"),
+ ("upper", "upper bound (exclusive)"),
+ ]
outs = [
("M", "memory result", "pn_Generic_M"),
("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
attrs_name = "bound"
class Builtin(Op):
- ins = [ "mem" ]
+ """performs a backend-specific builtin."""
+ ins = [
+ ("mem", "memory dependency"),
+ ]
arity = "variable"
outs = [
("M", "memory result", "pn_Generic_M"),
flags = [ "uses_memory" ]
attrs = [
dict(
- type = "ir_builtin_kind",
- name = "kind"
+ type = "ir_builtin_kind",
+ name = "kind",
+ comment = "kind of builtin",
),
dict(
- type = "ir_type*",
- name = "type"
+ type = "ir_type*",
+ name = "type",
+ comment = "method type for the builtin call",
)
]
pinned = "memory"
'''
class Call(Op):
- ins = [ "mem", "ptr" ]
+ """Calls other code. Control flow is transfered to ptr, additional
+ operands are passed to the called code. Called code usually performs a
+ return operation. The operands of this return operation are the result
+ of the Call node."""
+ ins = [
+ ("mem", "memory dependency"),
+ ("ptr", "pointer to called code"),
+ ]
arity = "variable"
outs = [
("M", "memory result", "pn_Generic_M"),
flags = [ "fragile", "uses_memory" ]
attrs = [
dict(
- type = "ir_type*",
- name = "type"
+ type = "ir_type*",
+ name = "type",
+ comment = "type of the call (usually type of the called procedure)",
),
dict(
type = "unsigned",
name = "tail_call",
# the tail call attribute can only be set by analysis
- init = "0"
+ init = "0",
)
]
attr_struct = "call_attr"
'''
class Carry(Binop):
+ """Computes the value of the carry-bit that would result when adding the 2
+ operands"""
flags = [ "commutative" ]
class Cast(Unop):
+ """perform a high-level type cast"""
mode = "get_irn_mode(irn_op)"
flags = [ "highlevel" ]
attrs = [
dict(
- type = "ir_type*",
- name = "type"
+ type = "ir_type*",
+ name = "type",
+ comment = "target type of the case",
)
]
attr_struct = "cast_attr"
init = "assert(is_atomic_type(type));"
class Cmp(Binop):
- outs = [
- ("False", "always false", "0"),
- ("Eq", "equal", "1"),
- ("Lt", "less", "2"),
- ("Le", "less or equal", "pn_Cmp_Eq|pn_Cmp_Lt"),
- ("Gt", "greater", "4"),
- ("Ge", "greater or equal", "pn_Cmp_Eq|pn_Cmp_Gt"),
- ("Lg", "less or greater ('not equal' for integer numbers)", "pn_Cmp_Lt|pn_Cmp_Gt"),
- ("Leg", "less, equal or greater ('not unordered')", "pn_Cmp_Lt|pn_Cmp_Eq|pn_Cmp_Gt"),
- ("Uo", "unordered", "8"),
- ("Ue", "unordered or equal", "pn_Cmp_Uo|pn_Cmp_Eq"),
- ("Ul", "unordered or less", "pn_Cmp_Uo|pn_Cmp_Lt"),
- ("Ule", "unordered, less or equal", "pn_Cmp_Uo|pn_Cmp_Lt|pn_Cmp_Eq"),
- ("Ug", "unordered or greater", "pn_Cmp_Uo|pn_Cmp_Gt"),
- ("Uge", "onordered, greater or equal", "pn_Cmp_Uo|pn_Cmp_Gt|pn_Cmp_Eq"),
- ("Ne", "unordered, less or greater ('not equal' for floatingpoint numbers)", "pn_Cmp_Uo|pn_Cmp_Lt|pn_Cmp_Gt"),
- ("True", "always true", "15"),
- ]
+ """Compares its two operands and checks wether a specified
+ relation (like less or equal) is fulfilled."""
flags = []
+ mode = "mode_b"
+ attrs = [
+ dict(
+ type = "ir_relation",
+ name = "relation",
+ comment = "Comparison relation"
+ )
+ ]
+ attr_struct = "cmp_attr"
class Cond(Op):
- ins = [ "selector" ]
+ """Conditionally change control flow. There are two versions of this node:
+
+ Boolean Cond:
+ Input: A value of mode_b
+ Output: A tuple of two control flows. The first is taken if the input is
+ false, the second if it is true.
+
+ Switch Cond:
+ Input: A value of mode_Iu
+ Output: A tuple of n control flows. If the Cond's input is i, control flow
+ will proceed along output i. If the input is >= n control flow proceeds
+ along output def_proj.
+ """
+ ins = [
+ ("selector", "condition parameter"),
+ ]
outs = [
("false", "control flow if operand is \"false\""),
("true", "control flow if operand is \"true\""),
pinned = "yes"
attrs = [
dict(
- name = "default_proj",
- type = "long",
- init = "0"
+ name = "default_proj",
+ type = "long",
+ init = "0",
+ comment = "Proj-number of default case for switch-Cond",
),
dict(
- name = "jmp_pred",
- type = "cond_jmp_predicate",
- init = "COND_JMP_PRED_NONE"
+ name = "jmp_pred",
+ type = "cond_jmp_predicate",
+ init = "COND_JMP_PRED_NONE",
+ comment = "can indicate the most likely jump",
)
]
attr_struct = "cond_attr"
class Confirm(Op):
- ins = [ "value", "bound" ]
+ """Specifies constraints for a value. This allows explicit representation
+ of path-sensitive properties. (Example: This value is always >= 0 on 1
+ if-branch then all users within that branch are rerouted to a confirm-node
+ specifying this property).
+
+ A constraint is specified for the relation between value and bound.
+ value is always returned.
+ Note that this node does NOT check or assert the constraint, it merely
+ specifies it."""
+ ins = [
+ ("value", "value to express a constraint for"),
+ ("bound", "value to compare against"),
+ ]
mode = "get_irn_mode(irn_value)"
flags = [ "highlevel" ]
pinned = "yes"
attrs = [
dict(
- name = "cmp",
- type = "pn_Cmp"
+ name = "relation",
+ type = "ir_relation",
+ comment = "relation of value to bound",
),
]
attr_struct = "confirm_attr"
attrs_name = "confirm"
class Const(Op):
- mode = ""
+ """Returns a constant value."""
flags = [ "constlike", "start_block" ]
+ block = "get_irg_start_block(irg)"
+ mode = "get_tarval_mode(tarval)"
knownBlock = True
pinned = "no"
- attrs_name = "con"
attrs = [
dict(
- type = "ir_tarval*",
- name = "tarval",
+ type = "ir_tarval*",
+ name = "tarval",
+ comment = "constant value (a tarval object)",
)
]
attr_struct = "const_attr"
+ attrs_name = "con"
class Conv(Unop):
+ """Converts values between modes"""
flags = []
attrs = [
dict(
- name = "strict",
- type = "int",
- init = "0",
- special = dict(
- prefix = "strict",
- init = "1"
- )
+ name = "strict",
+ type = "int",
+ init = "0",
+ comment = "force floating point to restrict precision even if backend computes in higher precision (deprecated)",
)
]
attr_struct = "conv_attr"
attrs_name = "conv"
class CopyB(Op):
- ins = [ "mem", "dst", "src" ]
+ """Copies a block of memory"""
+ ins = [
+ ("mem", "memory dependency"),
+ ("dst", "destination address"),
+ ("src", "source address"),
+ ]
outs = [
("M", "memory result", "pn_Generic_M"),
("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
("X_except", "control flow when exception occured", "pn_Generic_X_except"),
]
- flags = [ "fragile", "highlevel", "uses_memory" ]
+ flags = [ "fragile", "uses_memory" ]
attrs = [
dict(
- name = "type",
- type = "ir_type*"
+ name = "type",
+ type = "ir_type*",
+ comment = "type of copied data",
)
]
attr_struct = "copyb_attr"
pinned_init = "op_pin_state_pinned"
class Div(Op):
- ins = [ "mem", "left", "right" ]
+ """returns the quotient of its 2 operands"""
+ ins = [
+ ("mem", "memory dependency"),
+ ("left", "first operand"),
+ ("right", "second operand"),
+ ]
outs = [
("M", "memory result", "pn_Generic_M"),
("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
("res", "result of computation", "pn_Generic_other"),
]
flags = [ "fragile", "uses_memory" ]
- attrs_name = "divmod"
+ attrs_name = "div"
attrs = [
dict(
- type = "ir_mode*",
- name = "resmode"
+ type = "ir_mode*",
+ name = "resmode",
+ comment = "mode of the result value",
),
dict(
name = "no_remainder",
type = "int",
init = "0",
- special = dict(
- suffix = "RL",
- init = "1"
- )
)
]
- attr_struct = "divmod_attr"
- pinned = "exception"
- op_index = 1
- arity_override = "oparity_binary"
-
-class DivMod(Op):
- ins = [ "mem", "left", "right" ]
- outs = [
- ("M", "memory result", "pn_Generic_M"),
- ("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
- ("X_except", "control flow when exception occured", "pn_Generic_X_except"),
- ("res_div", "result of computation a/b", "pn_Generic_other"),
- ("res_mod", "result of computation a%b"),
- ]
- flags = [ "fragile", "uses_memory" ]
- attrs_name = "divmod"
- attrs = [
- dict(
- type = "ir_mode*",
- name = "resmode"
- ),
- ]
- attr_struct = "divmod_attr"
+ attr_struct = "div_attr"
pinned = "exception"
op_index = 1
arity_override = "oparity_binary"
class Dummy(Op):
+ """A placeholder value. This is used when constructing cyclic graphs where
+ you have cases where not all predecessors of a phi-node are known. Dummy
+ nodes are used for the unknown predecessors and replaced later."""
ins = []
flags = [ "cfopcode", "start_block", "constlike", "dump_noblock" ]
knownBlock = True
block = "get_irg_start_block(irg)"
class End(Op):
+ """Last node of a graph. It references nodes in endless loops (so called
+ keepalive edges)"""
mode = "mode_X"
pinned = "yes"
arity = "dynamic"
customSerializer = True
class Eor(Binop):
+ """returns the result of a bitwise exclusive or operation of its operands"""
flags = [ "commutative" ]
class Free(Op):
- ins = [ "mem", "ptr", "size" ]
+ """Frees a block of memory previously allocated by an Alloc node"""
+ ins = [
+ ("mem", "memory dependency" ),
+ ("ptr", "pointer to the object to free"),
+ ("size", "number of objects to allocate" ),
+ ]
mode = "mode_M"
flags = [ "uses_memory" ]
pinned = "yes"
attrs = [
dict(
- name = "type",
- type = "ir_type*"
+ name = "type",
+ type = "ir_type*",
+ comment = "type of the allocated variable",
),
dict(
- name = "where",
- type = "ir_where_alloc"
+ name = "where",
+ type = "ir_where_alloc",
+ comment = "whether allocation was on the stack or heap",
)
]
attr_struct = "free_attr"
class Id(Op):
- ins = [ "pred" ]
+ """Returns its operand unchanged."""
+ ins = [
+ ("pred", "the value which is returned unchanged")
+ ]
pinned = "no"
flags = []
class IJmp(Op):
+ """Jumps to the code in its argument. The code has to be in the same
+ function and the the destination must be one of the blocks reachable
+ by the tuple results"""
mode = "mode_X"
pinned = "yes"
- ins = [ "target" ]
+ ins = [
+ ("target", "target address of the jump"),
+ ]
flags = [ "cfopcode", "forking", "keep" ]
class InstOf(Op):
- ins = [ "store", "obj" ]
+ """Tests wether an object is an instance of a class-type"""
+ ins = [
+ ("store", "memory dependency"),
+ ("obj", "pointer to object being queried")
+ ]
outs = [
("M", "memory result", "pn_Generic_M"),
("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
flags = [ "highlevel" ]
attrs = [
dict(
- name = "type",
- type = "ir_type*"
+ name = "type",
+ type = "ir_type*",
+ comment = "type to check ptr for",
)
]
attr_struct = "io_attr"
pinned_init = "op_pin_state_floats"
class Jmp(Op):
+ """Jumps to the block connected through the out-value"""
mode = "mode_X"
pinned = "yes"
ins = []
flags = [ "cfopcode" ]
class Load(Op):
- ins = [ "mem", "ptr" ]
+ """Loads a value from memory (heap or stack)."""
+ ins = [
+ ("mem", "memory dependency"),
+ ("ptr", "address to load from"),
+ ]
outs = [
("M", "memory result", "pn_Generic_M"),
("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
]
flags = [ "fragile", "uses_memory" ]
pinned = "exception"
- pinned_init = "flags & cons_floats ? op_pin_state_floats : op_pin_state_pinned"
attrs = [
dict(
- type = "ir_mode*",
- name = "mode",
- java_name = "load_mode"
+ type = "ir_mode*",
+ name = "mode",
+ java_name = "load_mode",
+ comment = "mode of the value to be loaded",
),
]
attr_struct = "load_attr"
constructor_args = [
dict(
- type = "ir_cons_flags",
- name = "flags",
+ type = "ir_cons_flags",
+ name = "flags",
+ comment = "specifies alignment, volatility and pin state",
),
]
+ pinned_init = "flags & cons_floats ? op_pin_state_floats : op_pin_state_pinned"
+ init = '''
+ res->attr.load.volatility = flags & cons_volatile ? volatility_is_volatile : volatility_non_volatile;
+ res->attr.load.aligned = flags & cons_unaligned ? align_non_aligned : align_is_aligned;
+ '''
class Minus(Unop):
+ """returns the difference between its operands"""
flags = []
class Mod(Op):
- ins = [ "mem", "left", "right" ]
+ """returns the remainder of its operands from an implied division.
+
+ Examples:
+ * mod(5,3) produces 2
+ * mod(5,-3) produces 2
+ * mod(-5,3) produces -2
+ * mod(-5,-3) produces -2
+ """
+ ins = [
+ ("mem", "memory dependency"),
+ ("left", "first operand"),
+ ("right", "second operand"),
+ ]
outs = [
("M", "memory result", "pn_Generic_M"),
("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
("res", "result of computation", "pn_Generic_other"),
]
flags = [ "fragile", "uses_memory" ]
- attrs_name = "divmod"
+ attrs_name = "mod"
attrs = [
dict(
- type = "ir_mode*",
- name = "resmode"
+ type = "ir_mode*",
+ name = "resmode",
+ comment = "mode of the result",
),
]
- attr_struct = "divmod_attr"
+ attr_struct = "mod_attr"
pinned = "exception"
op_index = 1
arity_override = "oparity_binary"
class Mul(Binop):
+ """returns the product of its operands"""
flags = [ "commutative" ]
class Mulh(Binop):
+ """returns the upper word of the product of its operands (the part which
+ would not fit into the result mode of a normal Mul anymore)"""
flags = [ "commutative" ]
class Mux(Op):
- ins = [ "sel", "false", "true" ]
+ """returns the false or true operand depending on the value of the sel
+ operand"""
+ ins = [
+ ("sel", "value making the output selection"),
+ ("false", "selected if sel input is false"),
+ ("true", "selected if sel input is true"),
+ ]
flags = []
pinned = "no"
class NoMem(Op):
+ """Placeholder node for cases where you don't need any memory input"""
mode = "mode_M"
flags = [ "dump_noblock", "dump_noinput" ]
pinned = "yes"
singleton = True
class Not(Unop):
+ """returns the logical complement of a value. Works for integer values too.
+ If the input is false/zero then true/one is returned, otherwise false/zero
+ is returned."""
flags = []
class Or(Binop):
+ """returns the result of a bitwise or operation of its operands"""
flags = [ "commutative" ]
class Phi(Op):
+ """Choose a value based on control flow. A phi node has 1 input for each
+ predecessor of its block. If a block is entered from its nth predecessor
+ all phi nodes produce their nth input as result."""
pinned = "yes"
arity = "variable"
flags = []
attr_struct = "phi_attr"
- init = '''
+ init = '''
+ res->attr.phi.u.backedge = new_backedge_arr(irg->obst, arity);'''
+ init_after_opt = '''
/* Memory Phis in endless loops must be kept alive.
As we can't distinguish these easily we keep all of them alive. */
- if (is_Phi(res) && mode == mode_M)
- add_End_keepalive(get_irg_end(irg), res);
- '''
+ if (is_Phi(res) && mode == mode_M)
+ add_End_keepalive(get_irg_end(irg), res);'''
class Pin(Op):
- ins = [ "op" ]
+ """Pin the value of the node node in the current block. No users of the Pin
+ node can float above the Block of the Pin. The node cannot float behind
+ this block. Often used to Pin the NoMem node."""
+ ins = [
+ ("op", "value which is pinned"),
+ ]
mode = "get_irn_mode(irn_op)"
flags = [ "highlevel" ]
pinned = "yes"
class Proj(Op):
- ins = [ "pred" ]
+ """returns an entry of a tuple value"""
+ ins = [
+ ("pred", "the tuple value from which a part is extracted"),
+ ]
flags = []
pinned = "no"
knownBlock = True
customSerializer = True
attrs = [
dict(
- type = "long",
- name = "proj",
- initname = "",
- noprop = False,
- )
- ]
- attr_struct = "long"
-
-class Quot(Op):
- ins = [ "mem", "left", "right" ]
- outs = [
- ("M", "memory result", "pn_Generic_M"),
- ("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
- ("X_except", "control flow when exception occured", "pn_Generic_X_except"),
- ("res", "result of computation", "pn_Generic_other"),
- ]
- flags = [ "fragile", "uses_memory" ]
- attrs_name = "divmod"
- attrs = [
- dict(
- type = "ir_mode*",
- name = "resmode"
+ type = "long",
+ name = "proj",
+ comment = "number of tuple component to be extracted",
),
]
- attr_struct = "divmod_attr"
- pinned = "exception"
- op_index = 1
- arity_override = "oparity_binary"
+ attr_struct = "proj_attr"
class Raise(Op):
- ins = [ "mem", "exo_ptr" ]
+ """Raises an exception. Unconditional change of control flow. Writes an
+ explicit Except variable to memory to pass it to the exception handler.
+ Must be lowered to a Call to a runtime check function."""
+ ins = [
+ ("mem", "memory dependency"),
+ ("exo_ptr", "pointer to exception object to be thrown"),
+ ]
outs = [
("M", "memory result", "pn_Generic_M"),
("X", "control flow to exception handler", "pn_Generic_X_regular"),
pinned = "yes"
class Return(Op):
- ins = [ "mem" ]
+ """Returns from the current function. Takes memory and return values as
+ operands."""
+ ins = [
+ ("mem", "memory dependency"),
+ ]
arity = "variable"
mode = "mode_X"
flags = [ "cfopcode" ]
pinned = "yes"
class Rotl(Binop):
+ """Returns its first operand bits rotated left by the amount in the 2nd
+ operand"""
flags = []
class Sel(Op):
- ins = [ "mem", "ptr" ]
+ """Computes the address of a entity of a compound type given the base
+ address of an instance of the compound type."""
+ ins = [
+ ("mem", "memory dependency"),
+ ("ptr", "pointer to object to select from"),
+ ]
arity = "variable"
flags = []
mode = "is_Method_type(get_entity_type(entity)) ? mode_P_code : mode_P_data"
pinned = "no"
attrs = [
dict(
- type = "ir_entity*",
- name = "entity"
+ type = "ir_entity*",
+ name = "entity",
+ comment = "entity which is selected",
)
]
attr_struct = "sel_attr"
class Shl(Binop):
+ """Returns its first operands bits shifted left by the amount of the 2nd
+ operand"""
flags = []
class Shr(Binop):
+ """Returns its first operands bits shifted right by the amount of the 2nd
+ operand. No special handling for the sign bit (zero extension)"""
flags = []
class Shrs(Binop):
+ """Returns its first operands bits shifted right by the amount of the 2nd
+ operand. The leftmost bit (usually the sign bit) stays the same
+ (sign extension)"""
flags = []
class Start(Op):
+ """The first node of a graph. Execution starts with this node."""
outs = [
("X_initial_exec", "control flow"),
("M", "initial memory"),
block = "get_irg_start_block(irg)"
class Store(Op):
- ins = [ "mem", "ptr", "value" ]
+ """Stores a value into memory (heap or stack)."""
+ ins = [
+ ("mem", "memory dependency"),
+ ("ptr", "address to store to"),
+ ("value", "value to store"),
+ ]
outs = [
("M", "memory result", "pn_Generic_M"),
("X_regular", "control flow when no exception occurs", "pn_Generic_X_regular"),
pinned_init = "flags & cons_floats ? op_pin_state_floats : op_pin_state_pinned"
constructor_args = [
dict(
- type = "ir_cons_flags",
- name = "flags",
+ type = "ir_cons_flags",
+ name = "flags",
+ comment = "specifies alignment, volatility and pin state",
),
]
+ init = '''
+ res->attr.store.volatility = flags & cons_volatile ? volatility_is_volatile : volatility_non_volatile;
+ res->attr.store.aligned = flags & cons_unaligned ? align_non_aligned : align_is_aligned;
+ '''
class Sub(Binop):
+ """returns the difference of its operands"""
flags = []
class SymConst(Op):
+ """A symbolic constant.
+
+ - symconst_type_tag The symbolic constant represents a type tag. The
+ type the tag stands for is given explicitly.
+ - symconst_type_size The symbolic constant represents the size of a type.
+ The type of which the constant represents the size
+ is given explicitly.
+ - symconst_type_align The symbolic constant represents the alignment of a
+ type. The type of which the constant represents the
+ size is given explicitly.
+ - symconst_addr_ent The symbolic constant represents the address of an
+ entity (variable or method). The variable is given
+ explicitly by a firm entity.
+ - symconst_ofs_ent The symbolic constant represents the offset of an
+ entity in its owner type.
+ - symconst_enum_const The symbolic constant is a enumeration constant of
+ an enumeration type."""
mode = "mode_P"
flags = [ "constlike", "start_block" ]
knownBlock = True
pinned = "no"
attrs = [
dict(
- type = "ir_entity*",
- name = "entity",
- noprop = True
+ type = "ir_entity*",
+ name = "entity",
+ noprop = True,
+ comment = "entity whose address is returned",
)
]
attr_struct = "symconst_attr"
customSerializer = True
+ # constructor is written manually at the moment, because of the strange
+ # union argument
+ noconstructor = True
class Sync(Op):
+ """The Sync operation unifies several partial memory blocks. These blocks
+ have to be pairwise disjunct or the values in common locations have to
+ be identical. This operation allows to specify all operations that
+ eventually need several partial memory blocks as input with a single
+ entrance by unifying the memories with a preceding Sync operation."""
mode = "mode_M"
flags = []
pinned = "no"
arity = "dynamic"
class Tuple(Op):
+ """Builds a Tuple from single values.
+
+ This is needed to implement optimizations that remove a node that produced
+ a tuple. The node can be replaced by the Tuple operation so that the
+ following Proj nodes have not to be changed. (They are hard to find due to
+ the implementation with pointers in only one direction.) The Tuple node is
+ smaller than any other node, so that a node can be changed into a Tuple by
+ just changing it's opcode and giving it a new in array."""
arity = "variable"
mode = "mode_T"
pinned = "no"
flags = [ "labeled" ]
class Unknown(Op):
+ """Returns an unknown (at compile- and runtime) value. It is a valid
+ optimisation to replace an Unknown by any other constant value."""
knownBlock = True
pinned = "yes"
block = "get_irg_start_block(irg)"