Bump torch from 2.2.2 to 2.7.1 in the pip group across 1 directory - #1
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Bump torch from 2.2.2 to 2.7.1 in the pip group across 1 directory#1dependabot[bot] wants to merge 2 commits into
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Bumps the pip group with 1 update in the / directory: [torch](https://github.com/pytorch/pytorch). Updates `torch` from 2.2.2 to 2.7.1 - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md) - [Commits](pytorch/pytorch@v2.2.2...v2.7.1) --- updated-dependencies: - dependency-name: torch dependency-version: 2.7.1 dependency-type: direct:production dependency-group: pip ... Signed-off-by: dependabot[bot] <support@github.com>
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groupthinking
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Critical: - #1: inputs now passed to protocol task functions via inspect.signature introspection (backwards-compatible with legacy zero-arg protocols) High: - #2: replaced deprecated asyncio.get_event_loop() with get_running_loop() - #3: mutate_protocol() now called via run_in_executor to avoid blocking the event loop; deduplicated by protocol name to prevent race conditions Medium: - #4: state file writes moved to run_in_executor (non-blocking) - #5: retry loop now iterates until max_attempts is exhausted (was single-shot) - #6: track_outcome() calls moved to run_in_executor inside semaphore Low: - #7: added finally block + isolated try/except around track_outcome to prevent wrapper errors from leaving subtasks in RUNNING state - #8: replaced deprecated datetime.utcnow() with datetime.now(timezone.utc) Additional improvements: - Added subtask_timeout parameter (default 300s) with asyncio.wait_for - Added max_job_history parameter to prevent unbounded memory growth - State file path now defaults to module directory (deterministic) - Added __all__ for explicit public API
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* feat: add Hierarchical Orchestration (Map/Reduce) module Introduces a formal Plan → Map → Reduce orchestration layer that: - Decomposes intents into parallel subtasks (Plan) - Executes them concurrently with bounded concurrency (Map) - Aggregates results through a configurable reducer (Reduce) - Runs a Verification Gateway as a separate concern - Triggers existing mutate_protocol logic only on verification failure - Escalates to humans (via MCP/Slack) when all retries are exhausted Integrates with existing protocol loader, tracker, and mutator. No changes to existing files required. * fix: apply all 8 code review improvements Critical: - #1: inputs now passed to protocol task functions via inspect.signature introspection (backwards-compatible with legacy zero-arg protocols) High: - #2: replaced deprecated asyncio.get_event_loop() with get_running_loop() - #3: mutate_protocol() now called via run_in_executor to avoid blocking the event loop; deduplicated by protocol name to prevent race conditions Medium: - #4: state file writes moved to run_in_executor (non-blocking) - #5: retry loop now iterates until max_attempts is exhausted (was single-shot) - #6: track_outcome() calls moved to run_in_executor inside semaphore Low: - #7: added finally block + isolated try/except around track_outcome to prevent wrapper errors from leaving subtasks in RUNNING state - #8: replaced deprecated datetime.utcnow() with datetime.now(timezone.utc) Additional improvements: - Added subtask_timeout parameter (default 300s) with asyncio.wait_for - Added max_job_history parameter to prevent unbounded memory growth - State file path now defaults to module directory (deterministic) - Added __all__ for explicit public API --------- Co-authored-by: groupthinking <1.54503486e+08+groupthinking@users.noreply.github.com>
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Bumps the pip group with 1 update in the / directory: torch.
Updates
torchfrom 2.2.2 to 2.7.1Release notes
Sourced from torch's releases.
... (truncated)
Commits
e2d141dset thread_work_size to 4 for unrolled kernel (#154541)1214198[c10d] Fix extra CUDA context created by barrier (#152834)790cc2f[c10d] Add more tests to prevent extra context (#154179)62ea99a[CI] Remove the xpu env source for linux binary validate (#154409)941732c[ROCm] Added unit test to test the cuda_pluggable allocator (#154135)769d5da[binary builds] Linux aarch64 CUDA builds. Make sure tag is set correctly (#1...306ba12Fix uint view copy (#151598) (#154121)1ae9953[ROCm] Update CUDAPluggableAllocator.h (#1984) (#153974)4a815edci: Set minimum cmake version for halide build (#154122)4c7314e[Dynamo] Fix einops regression (#154053)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
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