[tune](deps): Bump tensorflow-probability from 0.11.1 to 0.12.1 in /python/requirements #2
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
![dependabot[bot]](https://avatars.githubusercontent.com/in/29110?s=60&v=4){kind=small}
|
Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting |
4 similar comments
|
Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting |
|
Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting |
|
Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting |
|
Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting |
Bumps [tensorflow-probability](https://github.com/tensorflow/probability) from 0.11.1 to 0.12.1. - [Release notes](https://github.com/tensorflow/probability/releases) - [Commits](tensorflow/probability@v0.11.1...v0.12.1) Signed-off-by: dependabot[bot] <[email protected]>
dependabot
bot
force-pushed
the
dependabot/pip/python/requirements/tensorflow-probability-0.12.1
branch
from
bfb10cb
to
d832cfd
Compare
|
Superseded by #12. |
dependabot
bot
deleted the
dependabot/pip/python/requirements/tensorflow-probability-0.12.1
branch
edoakes
pushed a commit
that referenced
this pull request
Oct 8, 2021
…om concurrent chunk receive - #2 (ray-project#19216)
edoakes
pushed a commit
that referenced
this pull request
Jan 12, 2022
… and `MultiAgentEnvs` (ray-project#21063)
edoakes
pushed a commit
that referenced
this pull request
Jan 31, 2022
edoakes
pushed a commit
that referenced
this pull request
Feb 23, 2022
…roject#22317) Improve observability for general objects and lineage reconstruction by adding a "Status" field to `ray memory`. The value of the field can be: ``` // The task is waiting for its dependencies to be created. WAITING_FOR_DEPENDENCIES = 1; // All dependencies have been created and the task is scheduled to execute. SCHEDULED = 2; // The task finished successfully. FINISHED = 3; ``` In addition, tasks that failed or that needed to be re-executed due to lineage reconstruction will have a field listing the attempt number. Example output: ``` IP Address | PID | Type | Call Site | Status | Size | Reference Type | Object Ref 192.168.4.22 | 279475 | Driver | (task call) ... | Attempt #2: FINISHED | 10000254.0 B | LOCAL_REFERENCE | c2668a65bda616c1ffffffffffffffffffffffff0100000001000000 ```
edoakes
pushed a commit
that referenced
this pull request
Apr 14, 2022
…ray-project#23821) This PR refactors `LazyBlockList` in service of out-of-band serialization (see [mono-PR](ray-project#22616)) and is a precursor to an execution plan refactor (PR #2) and adding the actual out-of-band serialization APIs (PR #3). The following is included in this refactor: 1. `ReadTask`s are now a first-class concept, replacing calls; 2. read stage progress tracking is consolidated into `LazyBlockList._get_blocks_with_metadta()` and more of the read task complexity, e.g. the read remote function, was pushed into `LazyBlockList` to make `ray.data.read_datasource()` simpler; 3. we are a bit smarter with how we progressively launch tasks and fetch and cache metadata, including fetching the metadata for read tasks in `.iter_blocks_with_metadata()` instead of relying on the pre-read task metadata (which will be less accurate), and we also fix some small bugs in the lazy ramp-up around progressive metadata fetching. (1) is the most important item for supporting out-of-band serialization and fundamentally changes the `LazyBlockList` data model. This is required since we need to be able to reference the underlying read tasks when rewriting read stages during optimization and when serializing the lineage of the Dataset. See the [mono-PR](ray-project#22616) for more context. Other changes: 1. Changed stats actor to a global named actor singleton in order to obviate the need for serializing the actor handle with the Dataset stats; without this, we were encountering serialization failures.
edoakes
pushed a commit
that referenced
this pull request
Aug 5, 2022
We encountered SIGSEGV when running Python test `python/ray/tests/test_failure_2.py::test_list_named_actors_timeout`. The stack is: ``` #0 0x00007fffed30f393 in std::basic_string<char, std::char_traits<char>, std::allocator<char> >::basic_string(std::string const&) () from /lib64/libstdc++.so.6 #1 0x00007fffee707649 in ray::RayLog::GetLoggerName() () from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so #2 0x00007fffee70aa90 in ray::SpdLogMessage::Flush() () from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so #3 0x00007fffee70af28 in ray::RayLog::~RayLog() () from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so #4 0x00007fffee2b570d in ray::asio::testing::(anonymous namespace)::DelayManager::Init() [clone .constprop.0] () from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so #5 0x00007fffedd0d95a in _GLOBAL__sub_I_asio_chaos.cc () from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so #6 0x00007ffff7fe282a in call_init.part () from /lib64/ld-linux-x86-64.so.2 #7 0x00007ffff7fe2931 in _dl_init () from /lib64/ld-linux-x86-64.so.2 #8 0x00007ffff7fe674c in dl_open_worker () from /lib64/ld-linux-x86-64.so.2 #9 0x00007ffff7b82e79 in _dl_catch_exception () from /lib64/libc.so.6 #10 0x00007ffff7fe5ffe in _dl_open () from /lib64/ld-linux-x86-64.so.2 #11 0x00007ffff7d5f39c in dlopen_doit () from /lib64/libdl.so.2 #12 0x00007ffff7b82e79 in _dl_catch_exception () from /lib64/libc.so.6 #13 0x00007ffff7b82f13 in _dl_catch_error () from /lib64/libc.so.6 #14 0x00007ffff7d5fb09 in _dlerror_run () from /lib64/libdl.so.2 #15 0x00007ffff7d5f42a in dlopen@@GLIBC_2.2.5 () from /lib64/libdl.so.2 #16 0x00007fffef04d330 in py_dl_open (self=<optimized out>, args=<optimized out>) at /tmp/python-build.20220507135524.257789/Python-3.7.11/Modules/_ctypes/callproc.c:1369 ``` The root cause is that when loading `_raylet.so`, `static DelayManager _delay_manager` is initialized and `RAY_LOG(ERROR) << "RAY_testing_asio_delay_us is set to " << delay_env;` is executed. However, the static variables declared in `logging.cc` are not initialized yet (in this case, `std::string RayLog::logger_name_ = "ray_log_sink"`). It's better not to rely on the initialization order of static variables in different compilation units because it's not guaranteed. I propose to change all `RAY_LOG`s to `std::cerr` in `DelayManager::Init()`. The crash happens in Ant's internal codebase. Not sure why this test case passes in the community version though. BTW, I've tried different approaches: 1. Using a static local variable in `get_delay_us` and remove the global variable. This doesn't work because `init()` needs to access the variable as well. 2. Defining the global variable as type `std::unique_ptr<DelayManager>` and initialize it in `get_delay_us`. This works but it requires a lock to be thread-safe.
edoakes
pushed a commit
that referenced
this pull request
Aug 17, 2022
edoakes
pushed a commit
that referenced
this pull request
Mar 22, 2023
edoakes
pushed a commit
that referenced
this pull request
Mar 22, 2023
Signed-off-by: Edward Oakes <[email protected]>
edoakes
pushed a commit
that referenced
this pull request
Apr 24, 2023
Why are these changes needed? Right now the theory is as follow. pubsub io service is created and run inside the GcsServer. That means if pubsub io service is accessed after GCSServer GC'ed, it will segfault. Right now, upon teardown, when we call rpc::DrainAndResetExecutor, this will recreate the Executor thread pool. Upon teardown, If DrainAndResetExecutor -> GcsServer's internal pubsub posts new SendReply to the newly created threadpool -> GcsServer.reset -> pubsub io service GC'ed -> SendReply invoked from the newly created thread pool, it will segfault. NOTE: the segfault is from pubsub service if you see the failure #2 0x7f92034d9129 in ray::rpc::ServerCallImpl<ray::rpc::InternalPubSubGcsServiceHandler, ray::rpc::GcsSubscriberPollRequest, ray::rpc::GcsSubscriberPollReply>::HandleRequestImpl()::'lambda'(ray::Status, std::__1::function<void ()>, std::__1::function<void ()>)::operator()(ray::Status, std::__1::function<void ()>, std::__1::function<void ()>) const::'lambda'()::operator()() const /proc/self/cwd/bazel-out/k8-opt/bin/_virtual_includes/grpc_common_lib/ray/rpc/server_call.h:212:48 As a fix, I only drain the thread pool. And then reset it after all operations are fully cleaned up (only from tests). I think there's no need to reset for regular proc termination like raylet, gcs, core workers. Related issue number Closes ray-project#34344 Signed-off-by: SangBin Cho <[email protected]>
edoakes
pushed a commit
that referenced
this pull request
Nov 30, 2023
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Bumps tensorflow-probability from 0.11.1 to 0.12.1.
Release notes
Sourced from tensorflow-probability's releases.
... (truncated)
Commits
43a9d6cMerge pull request #1205 from jburnim/r0.12c1818a8Set the version for the TFP 0.12.1 release.0c282efAvoid cache errors when user-written Bijectors don't passparameters.dcd59edMerge pull request #1199 from jburnim/r0.1290fa3f0Set the version for the TFP 0.12.0 release.ead8501internal change1cc5c39Allow 0 concentration in gamma samplers.5f0dbecAdd float64 support to PHMC.d3bf5a0Rewrite experimental sample_chain in terms of run_kernel.e7d64b7Add a default bijector to the Deterministic distributions.Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)