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Make the specializing interpreter thread-safe in --disable-gil builds #115999

Open
8 of 17 tasks
Tracked by #108219
swtaarrs opened this issue Feb 27, 2024 · 9 comments
Open
8 of 17 tasks
Tracked by #108219

Make the specializing interpreter thread-safe in --disable-gil builds #115999

swtaarrs opened this issue Feb 27, 2024 · 9 comments
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topic-free-threading type-feature A feature request or enhancement

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@swtaarrs
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swtaarrs commented Feb 27, 2024

Feature or enhancement

Proposal:

In free-threaded builds, the specializing adaptive interpreter needs to be made thread-safe. We should start with a small PR to simply disable it in free-threaded builds, which will be correct but will incur a performance penalty. Then we can work out how to properly support specialization in a free-threaded build.

These two commits from Sam's nogil-3.12 branch can serve as inspiration:

  1. specialize: make specialization thread-safe
  2. specialize: optimize for single-threaded programs

There are two primary concerns to balance while implementing this functionality on main:

  1. Runtime overhead: There should be no performance impact on normal builds, and minimal performance impact on single-threaded code running in free-threaded builds.
  2. Reducing code duplication/divergence: We should come up with a design that is minimally disruptive to ongoing work on the specializing interpreter. It should be easy for other devs to keep the free-threaded build working without having to know too much about it.

Has this already been discussed elsewhere?

I have already discussed this feature proposal on Discourse

Links to previous discussion of this feature:

Specialization Families

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@brandtbucher
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(subscribing myself)

colesbury pushed a commit that referenced this issue Mar 1, 2024
…aded builds (#116013)

For now, disable all specialization when the GIL might be disabled.
@swtaarrs swtaarrs removed their assignment Mar 1, 2024
@swtaarrs
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swtaarrs commented Mar 1, 2024

This is now a performance (rather than correctness) issue for free-threaded builds, so I'm going to focus on more time-sensitive issues for a while.

woodruffw pushed a commit to woodruffw-forks/cpython that referenced this issue Mar 4, 2024
…e-threaded builds (python#116013)

For now, disable all specialization when the GIL might be disabled.
adorilson pushed a commit to adorilson/cpython that referenced this issue Mar 25, 2024
…e-threaded builds (python#116013)

For now, disable all specialization when the GIL might be disabled.
diegorusso pushed a commit to diegorusso/cpython that referenced this issue Apr 17, 2024
…e-threaded builds (python#116013)

For now, disable all specialization when the GIL might be disabled.
@corona10
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@swtaarrs Out of curiosity, is there any progress or plan for this issue?

@Fidget-Spinner
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@corona10 I'm planning to work on this after I get the deferred reference stack in. However, there are no concrete plans as of now. I'm really happy for you or anyone else to propose a design for the specializing interpreter with free-threaded safety!

@corona10
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@Fidget-Spinner cc @swtaarrs
Nice. I was also thinking about how to make it thread-safe in a seamless way since I agree with @swtaarrs.
But there is no good idea yet to solve the issue right now since I am not in a full-time position for this task :)
So it will be happy to see you have a good plan.
(I am curious that we can make them per-thread mechanism...)

By the way, in the short term, can we enable the specializer to be used only for the main thread if we can not solve the issue before 3.13 is released?
We can easily track the performance degradation between the default build because most of pyperformance benchmark are based on a single thread :)

@Fidget-Spinner
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@corona10 for 3.13, I think generally we're focusing on scalability across multicore rather than single-threaded perf for 3.13. It's a bit too near to feature freeze for me to feel safe re-enabling specialization at this point. There are a lot of unsolved problems still even with specialization only on the main thread. Consider the following:

Two threads sharing the same code object, A and B. A is main thread.
Thread B is in LOAD_ATTR_METHOD_WITH_VALUES's action (after guards, it is in the middle of loading from a method)
Thread A is in LOAD_ATTR_METHOD_WITH_VALUES's guard, but then deopts, meaning the method reference is now most likely dead/invalid.
Thread B loads from LOAD_ATTR_METHOD_WITH_VALUE's method, it is now holding a dangling pointer.
Thread B pushes dangling pointer to the stack. Everything crashes.

I'm reading a few papers to get some inspiration and also looking at how CRuby and other runtimes deal with this. Will post back when I have an actual plan.

@mpage mpage self-assigned this Aug 8, 2024
mpage added a commit to mpage/cpython that referenced this issue Sep 13, 2024
mpage added a commit to mpage/cpython that referenced this issue Sep 17, 2024
mpage added a commit to mpage/cpython that referenced this issue Sep 25, 2024
mpage added a commit to mpage/cpython that referenced this issue Sep 26, 2024
mpage added a commit to mpage/cpython that referenced this issue Sep 28, 2024
mpage added a commit to mpage/cpython that referenced this issue Sep 30, 2024
mpage added a commit to mpage/cpython that referenced this issue Oct 5, 2024
mpage added a commit to mpage/cpython that referenced this issue Oct 7, 2024
colesbury pushed a commit that referenced this issue Oct 8, 2024
Stop the world when invalidating function versions

The tier1 interpreter specializes `CALL` instructions based on the values
of certain function attributes (e.g. `__code__`, `__defaults__`). The tier1
interpreter uses function versions to verify that the attributes of a function
during execution of a specialization match those seen during specialization.
A function's version is initialized in `MAKE_FUNCTION` and is invalidated when
any of the critical function attributes are changed. The tier1 interpreter stores
the function version in the inline cache during specialization. A guard is used by
the specialized instruction to verify that the version of the function on the operand
stack matches the cached version (and therefore has all of the expected attributes).
It is assumed that once the guard passes, all attributes will remain unchanged
while executing the rest of the specialized instruction.

Stopping the world when invalidating function versions ensures that all critical
function attributes will remain unchanged after the function version guard passes
in free-threaded builds. It's important to note that this is only true if the remainder
of the specialized instruction does not enter and exit a stop-the-world point.

We will stop the world the first time any of the following function attributes
are mutated:

- defaults
- vectorcall
- kwdefaults
- closure
- code

This should happen rarely and only happens once per function, so the performance
impact on majority of code should be minimal.

Additionally, refactor the API for manipulating function versions to more clearly
match the stated semantics.
efimov-mikhail pushed a commit to efimov-mikhail/cpython that referenced this issue Oct 9, 2024
…ython#124997)

Stop the world when invalidating function versions

The tier1 interpreter specializes `CALL` instructions based on the values
of certain function attributes (e.g. `__code__`, `__defaults__`). The tier1
interpreter uses function versions to verify that the attributes of a function
during execution of a specialization match those seen during specialization.
A function's version is initialized in `MAKE_FUNCTION` and is invalidated when
any of the critical function attributes are changed. The tier1 interpreter stores
the function version in the inline cache during specialization. A guard is used by
the specialized instruction to verify that the version of the function on the operand
stack matches the cached version (and therefore has all of the expected attributes).
It is assumed that once the guard passes, all attributes will remain unchanged
while executing the rest of the specialized instruction.

Stopping the world when invalidating function versions ensures that all critical
function attributes will remain unchanged after the function version guard passes
in free-threaded builds. It's important to note that this is only true if the remainder
of the specialized instruction does not enter and exit a stop-the-world point.

We will stop the world the first time any of the following function attributes
are mutated:

- defaults
- vectorcall
- kwdefaults
- closure
- code

This should happen rarely and only happens once per function, so the performance
impact on majority of code should be minimal.

Additionally, refactor the API for manipulating function versions to more clearly
match the stated semantics.
@mpage
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mpage commented Nov 6, 2024

#126414 broke the main branch.

Python/specialize.c: In function ‘_Py_Specialize_ContainsOp’:
Python/specialize.c:2801:5: error: implicit declaration of function ‘SET_OPCODE_OR_RETURN’ [-Werror=implicit-function-declaration]
 2801 |     SET_OPCODE_OR_RETURN(instr, CONTAINS_OP);
      |     ^~~~~~~~~~~~~~~~~~~~
cc1: some warnings being treated as errors
make: *** [Makefile:3116: Python/specialize.o] Помилка 1
make: *** Очікування завершення завдань...

Ugh sorry. #126414 raced with #126450.

@corona10
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corona10 commented Nov 9, 2024

I am working on TO_BOOL and BINARY_SUBSCR

corona10 added a commit to corona10/cpython that referenced this issue Nov 9, 2024
* None / bool / int / str are immutable types, so they is thread-safe.
* list is mutable, but by using ``PyList_GET_SIZE`` we can make it
  as thread-safe.
mpage added a commit to mpage/cpython that referenced this issue Nov 19, 2024
mpage added a commit to mpage/cpython that referenced this issue Nov 20, 2024
mpage added a commit that referenced this issue Nov 20, 2024
Don't take a reason in unspecialize

We only want to compute the reason if stats are enabled. Optimizing
compilers should optimize this away for us (gcc and clang do), but
it's better to be safe than sorry.
mpage added a commit to mpage/cpython that referenced this issue Nov 20, 2024
mpage added a commit to mpage/cpython that referenced this issue Nov 21, 2024
mpage added a commit that referenced this issue Nov 21, 2024
Enable specialization of LOAD_GLOBAL in free-threaded builds.

Thread-safety of specialization in free-threaded builds is provided by the following:

A critical section is held on both the globals and builtins objects during specialization. This ensures we get an atomic view of both builtins and globals during specialization.
Generation of new keys versions is made atomic in free-threaded builds.
Existing helpers are used to atomically modify the opcode.
Thread-safety of specialized instructions in free-threaded builds is provided by the following:

Relaxed atomics are used when loading and storing dict keys versions. This avoids potential data races as the dict keys versions are read without holding the dictionary's per-object lock in version guards.
Dicts keys objects are passed from keys version guards to the downstream uops. This ensures that we are loading from the correct offset in the keys object. Once a unicode key has been stored in a keys object for a combined dictionary in free-threaded builds, the offset that it is stored in will never be reused for a different key. Once the version guard passes, we know that we are reading from the correct offset.
The dictionary read fast-path is used to read values from the dictionary once we know the correct offset.
nascheme added a commit to nascheme/cpython that referenced this issue Nov 22, 2024
Use existing helpers to atomically modify the bytecode.  Add unit tests
to ensure specializing is happening as expected.  Add test_specialize.py
that can be used with ThreadSanitizer to detect data races.
Eclips4 added a commit that referenced this issue Nov 22, 2024
…26600)

Add free-threaded specialization for `UNPACK_SEQUENCE` opcode.
`UNPACK_SEQUENCE_TUPLE/UNPACK_SEQUENCE_TWO_TUPLE` are already thread safe since tuples are immutable.
`UNPACK_SEQUENCE_LIST` is not thread safe because of nature of lists (there is nothing preventing another thread from adding items to or removing them the list while the instruction is executing). To achieve thread safety we add a critical section to the implementation of `UNPACK_SEQUENCE_LIST`, especially around the parts where we check the size of the list and push items onto the stack.


---------

Co-authored-by: Matt Page <[email protected]>
Co-authored-by: mpage <[email protected]>
colesbury added a commit to colesbury/cpython that referenced this issue Nov 22, 2024
The specialization only depends on the type, so no special thread-safety
considerations there.

STORE_SUBSCR_LIST_INT needs to lock the list before modifying it.

`_PyDict_SetItem_Take2` already internally locks the dictionary using a
critical section.
mpage added a commit that referenced this issue Nov 22, 2024
Record success in `specialize`

This matches the existing behavior where we increment the success
stat for the generic opcode each time we successfully specialize
an instruction.
mpage added a commit to mpage/cpython that referenced this issue Nov 25, 2024
colesbury added a commit that referenced this issue Nov 26, 2024
The specialization only depends on the type, so no special thread-safety
considerations there.

STORE_SUBSCR_LIST_INT needs to lock the list before modifying it.

`_PyDict_SetItem_Take2` already internally locks the dictionary using a
critical section.
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