MemoryUsage

from panda3d.core import MemoryUsage

class MemoryUsage

Bases:

Bases: MemoryHook

This class is used strictly for debugging purposes, specifically for tracking memory leaks of reference-counted objects: it keeps a record of every such object currently allocated.

When compiled with NDEBUG set, this entire class does nothing and compiles to a stub.

Inheritance diagram

__init__(param0: MemoryUsage)

property counting → bool

Returns true if the MemoryUsage object is currently at least counting memory (e.g. this is a Windows debug build), even if it’s not fully tracking it.

property current_cpp_size → int

Returns the total number of bytes of allocated memory consumed by C++ objects, not including the memory previously frozen.

property external_size → int

Returns the total number of bytes of allocated memory in the heap that Panda didn’t seem to be responsible for. This includes a few bytes for very low-level objects (like ConfigVariables) that cannot use Panda memory tracking because they are so very low-level.

This also includes all of the memory that might have been allocated by a high-level interpreter, like Python.

This number is only available if Panda is able to hook into the actual heap callback.

static freeze()

‘Freezes’ all pointers currently stored so that they are no longer reported; only newly allocate pointers from this point on will appear in future information requests. This makes it easier to differentiate between continuous leaks and one-time memory allocations.

static get_current_cpp_size() → int

Returns the total number of bytes of allocated memory consumed by C++ objects, not including the memory previously frozen.

static get_external_size() → int

Returns the total number of bytes of allocated memory in the heap that Panda didn’t seem to be responsible for. This includes a few bytes for very low-level objects (like ConfigVariables) that cannot use Panda memory tracking because they are so very low-level.

This also includes all of the memory that might have been allocated by a high-level interpreter, like Python.

This number is only available if Panda is able to hook into the actual heap callback.

static get_num_pointers() → int

Returns the number of pointers currently active.

static get_panda_heap_array_size() → int

Returns the total number of bytes allocated from the heap from code within Panda, for arrays.

static get_panda_heap_overhead() → int

Returns the extra bytes allocated from the system that are not immediately used for holding allocated objects. This can only be determined if ALTERNATIVE_MALLOC is enabled.

static get_panda_heap_single_size() → int

Returns the total number of bytes allocated from the heap from code within Panda, for individual objects.

static get_panda_mmap_size() → int

Returns the total number of bytes allocated from the virtual memory pool from code within Panda.

static get_pointers(result: MemoryUsagePointers)

Fills the indicated MemoryUsagePointers with the set of all pointers currently active.

static get_pointers_of_age(result: MemoryUsagePointers, from: float, to: float)

Fills the indicated MemoryUsagePointers with the set of all pointers that were allocated within the range of the indicated number of seconds ago.

static get_pointers_of_type(result: MemoryUsagePointers, type: TypeHandle)

Fills the indicated MemoryUsagePointers with the set of all pointers of the indicated type currently active.

static get_pointers_with_zero_count(result: MemoryUsagePointers)

Fills the indicated MemoryUsagePointers with the set of all currently active pointers (that is, pointers allocated since the last call to freeze(), and not yet freed) that have a zero reference count.

Generally, an undeleted pointer with a zero reference count means its reference count has never been incremented beyond zero (since once it has been incremented, the only way it can return to zero would free the pointer). This may include objects that are allocated statically or on the stack, which are never intended to be deleted. Or, it might represent a programmer or compiler error.

This function has the side-effect of incrementing each of their reference counts by one, thus preventing them from ever being freed–but since they hadn’t been freed anyway, probably no additional harm is done.

static get_total_cpp_size() → int

Returns the total number of bytes of allocated memory consumed by C++ objects, including the memory previously frozen.

static get_total_size() → int

Returns the total size of allocated memory consumed by the process, as nearly as can be determined.

static is_counting() → bool

Returns true if the MemoryUsage object is currently at least counting memory (e.g. this is a Windows debug build), even if it’s not fully tracking it.

static is_tracking() → bool

Returns true if the MemoryUsage object is currently tracking memory (e.g. track-memory-usage is configured #t).

property panda_heap_array_size → int

Returns the total number of bytes allocated from the heap from code within Panda, for arrays.

property panda_heap_overhead → int

Returns the extra bytes allocated from the system that are not immediately used for holding allocated objects. This can only be determined if ALTERNATIVE_MALLOC is enabled.

property panda_heap_single_size → int

Returns the total number of bytes allocated from the heap from code within Panda, for individual objects.

property panda_mmap_size → int

Returns the total number of bytes allocated from the virtual memory pool from code within Panda.

static show_current_ages()

Shows the breakdown of ages of all of the active pointers.

static show_current_types()

Shows the breakdown of types of all of the active pointers.

static show_trend_ages()

Shows the breakdown of ages of all of the pointers allocated and freed since the last call to freeze().

static show_trend_types()

Shows the breakdown of types of all of the pointers allocated and freed since the last call to freeze().

property total_cpp_size → int

Returns the total number of bytes of allocated memory consumed by C++ objects, including the memory previously frozen.

property total_size → int

Returns the total size of allocated memory consumed by the process, as nearly as can be determined.

property tracking → bool

Returns true if the MemoryUsage object is currently tracking memory (e.g. track-memory-usage is configured #t).