5.8 KiB
Frames
Each call to a Python function has an activation record, commonly known as a "frame". It contains information about the function being executed, consisting of three conceptual sections:
- Local variables (including arguments, cells and free variables)
- Evaluation stack
- Specials: The per-frame object references needed by the VM, including globals dict, code object, instruction pointer, stack depth, the previous frame, etc.
The definition of the _PyInterpreterFrame
struct is in
Include/internal/pycore_frame.h.
Allocation
Python semantics allows frames to outlive the activation, so they need to
be allocated outside the C call stack. To reduce overhead and improve locality
of reference, most frames are allocated contiguously in a per-thread stack
(see _PyThreadState_PushFrame
in Python/pystate.c).
Frames of generators and coroutines are embedded in the generator and coroutine
objects, so are not allocated in the per-thread stack. See PyGenObject
in
Include/internal/pycore_genobject.h.
Layout
Each activation record is laid out as:
- Specials
- Locals
- Stack
This seems to provide the best performance without excessive complexity. The specials have a fixed size, so the offset of the locals is know. The interpreter needs to hold two pointers, a frame pointer and a stack pointer.
Alternative layout
An alternative layout that was used for part of 3.11 alpha was:
- Locals
- Specials
- Stack
This has the advantage that no copying is required when making a call, as the arguments on the stack are (usually) already in the correct location for the parameters. However, it requires the VM to maintain an extra pointer for the locals, which can hurt performance.
Generators and Coroutines
Generators and coroutines contain a _PyInterpreterFrame
The specials sections contains the following pointers:
- Globals dict
- Builtins dict
- Locals dict (not the "fast" locals, but the locals for eval and class creation)
- Code object
- Heap allocated
PyFrameObject
for this activation record, if any. - The function.
The pointer to the function is not strictly required, but it is cheaper to store a strong reference to the function and borrowed references to the globals and builtins, than strong references to both globals and builtins.
Frame objects
When creating a backtrace or when calling sys._getframe()
the frame becomes
visible to Python code. When this happens a new PyFrameObject
is created
and a strong reference to it placed in the frame_obj
field of the specials
section. The frame_obj
field is initially NULL
.
The PyFrameObject
may outlive a stack-allocated _PyInterpreterFrame
.
If it does then _PyInterpreterFrame
is copied into the PyFrameObject
,
except the evaluation stack which must be empty at this point.
The previous frame link is updated to reflect the new location of the frame.
This mechanism provides the appearance of persistent, heap-allocated frames for each activation, but with low runtime overhead.
Generators and Coroutines
Generators (objects of type PyGen_Type
, PyCoro_Type
or
PyAsyncGen_Type
) have a _PyInterpreterFrame
embedded in them, so
that they can be created with a single memory allocation.
When such an embedded frame is iterated or awaited, it can be linked with
frames on the per-thread stack via the linkage fields.
If a frame object associated with a generator outlives the generator, then
the embedded _PyInterpreterFrame
is copied into the frame object (see
take_ownership()
in Python/frame.c).
Field names
Many of the fields in _PyInterpreterFrame
were copied from the 3.10 PyFrameObject
.
Thus, some of the field names may be a bit misleading.
For example the f_globals
field has a f_
prefix implying it belongs to the
PyFrameObject
struct, although it belongs to the _PyInterpreterFrame
struct.
We may rationalize this naming scheme for a later version.
Shim frames
On entry to _PyEval_EvalFrameDefault()
a shim _PyInterpreterFrame
is pushed.
This frame is stored on the C stack, and popped when _PyEval_EvalFrameDefault()
returns. This extra frame is inserted so that RETURN_VALUE
, YIELD_VALUE
, and
RETURN_GENERATOR
do not need to check whether the current frame is the entry frame.
The shim frame points to a special code object containing the INTERPRETER_EXIT
instruction which cleans up the shim frame and returns.
The Instruction Pointer
_PyInterpreterFrame
has two fields which are used to maintain the instruction
pointer: instr_ptr
and return_offset
.
When a frame is executing, instr_ptr
points to the instruction currently being
executed. In a suspended frame, it points to the instruction that would execute
if the frame were to resume. After frame.f_lineno
is set, instr_ptr
points to
the next instruction to be executed. During a call to a python function,
instr_ptr
points to the call instruction, because this is what we would expect
to see in an exception traceback.
The return_offset
field determines where a RETURN
should go in the caller,
relative to instr_ptr
. It is only meaningful to the callee, so it needs to
be set in any instruction that implements a call (to a Python function),
including CALL, SEND and BINARY_SUBSCR_GETITEM, among others. If there is no
callee, then return_offset is meaningless. It is necessary to have a separate
field for the return offset because (1) if we apply this offset to instr_ptr
while executing the RETURN
, this is too early and would lose us information
about the previous instruction which we could need for introspecting and
debugging. (2) SEND
needs to pass two offsets to the generator: one for
RETURN
and one for YIELD
. It uses the oparg
for one, and the
return_offset
for the other.