Nvshmem Select Remote Transport
NVIDIAOfficialCreated by NVIDIA NVSHMEM Team
- Skill
- Tool integration
- Software development
- Apache-2.0
- Medium risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured workflow to select the optimal NVSHMEM remote transport configuration. It relies on read-only system probes and workload analysis to match application requirements with available transport plugins. The process involves verifying system eligibility, analyzing communication profiles, and applying documented transport matrix rules to ensure compatibility and architectural fit. It avoids performance benchmarking or system mutation, focusing instead on static evidence to guide configuration.
What it does
- Inspects target system hardware, drivers, and installed NVSHMEM transport plugins.
- Analyzes communication profiles to determine workload-specific transport requirements.
- Applies hard eligibility gates based on fabric, provider, and prerequisite availability.
- Ranks eligible transport candidates using documented architectural fit rules.
- Generates minimal environment variable exports for the recommended configuration.
- Identifies missing prerequisites or unresolved system facts.
When to use it
- When configuring NVSHMEM for a new cluster or hardware environment.
- When optimizing transport settings for specific kernel communication patterns.
- When troubleshooting compatibility issues between NVSHMEM and network fabrics.
- When determining if a specific transport like GDAKI or IBRC is supported on a target node.
Advantages
- Reduces configuration errors by enforcing hard eligibility gates.
- Provides evidence-based recommendations without requiring runtime benchmarks.
- Standardizes the selection process across different network fabrics and providers.
- Minimizes manual effort by automating the collection of system transport facts.
Usage examples
- “Inspect this target node and src/exchange.cu, then recommend a throughput-oriented transport for 256 PEs with 8 local PEs per node.”
- The agent probes the system, analyzes the communication profile in the source file, and recommends a transport configuration based on the fabric and workload, providing the necessary environment exports.
- “Recommend a compatibility-first transport for 32 PEs with 8 local PEs per node using the attached collector output.”
- The agent evaluates the provided system facts against the transport matrix and outputs the most compatible transport configuration, noting any assumptions made during the process.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/nvidia/nvshmem-select-remote-transport/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip nvshmem-select-remote-transport.zip -d .agents/skills
Documentation by NVIDIA NVSHMEM Team
Select an NVSHMEM Remote Transport
Purpose
Recommend one NVSHMEM transport configuration from static evidence. Separate hard eligibility from expected kernel fit, distinguish documented facts from inference.
Focus on read-only system probes and source inspection. Do not run NVSHMEM applications, correctness tests, or performance benchmarks.
Prerequisites
Require an inventory of installed transport plugins before recommending a transport that must be available in the selected installation.
Record the installed NVSHMEM version when it is readily available, but do not require patch-level version verification for ordinary transport selection or stable settings such as
NVSHMEM_REMOTE_TRANSPORT.Require exact-version evidence only when the decision depends on a release gate, known issue, changed setting, or release-specific operation or memory-mode limitation.
Use the sibling
$nvshmem-docsworkflow, or its readable../nvshmem-docs/SKILL.md, when the user requests current/exact official verification or an exact-version-sensitive decision cannot be resolved from the bundled matrix. Do not invoke it merely because the target patch differs from a source version reviewed by the matrix.Require no API key, privileged command, network access for inspection, or benchmark execution.
Inputs
Core Recommendation Inputs
Installed transport-plugin inventory, or explicit user confirmation of the available transport.
Target fabric/provider: InfiniBand, RoCE, EFA, Slingshot/CXI, UCX-managed, or NVLink-only.
For kernel/workload analysis only, selected CUDA kernel/application source, or a profile covering:
host, on-stream, or device API use;
RMA, AMO, signaling, synchronization, or collective operations;
typical and range of message sizes;
issuing threads, warps, and CTAs;
peer fan-out and expected simultaneous message rate.
Job scale: total PEs and local PEs per node.
Intended outcome: general default, latency-sensitive, throughput-oriented, or compatibility-first.
Optional
Exact NVSHMEM patch version when the decision is not release-sensitive.
NVSHMEM_PREFIX, CMake cache, module/container details, launcher command, environment, and NVSHMEM configuration files.GPU, NIC, driver, kernel, OFED/rdma-core, UCX, libfabric, GPUNetIO, or DOCA details not available through inspection.
GPU-to-NIC topology and local PE binding.
Host/device traffic mix, CPU availability, persistent-kernel behavior, batching opportunities, and completion frequency.
Required atomics, registered user buffers, VMM, DCI/DCT, multi-NIC, Spectrum-X, or custom-QP features.
Preferred or prohibited transports.
Do not re-ask facts the user already supplied. Prefer one best-evidence recommendation over a list of conditional branches. State material assumptions and unknowns, but withhold the selection configuration only when no candidate passes a hard gate or the setting itself cannot be resolved safely.
Instructions
1. Establish the Evidence Source
First establish whether the agent runs on the target system; ask unless the user already answered or supplied a complete target-system probe. Never infer this from the shell, scheduler, hostname, hardware, or repository.
If yes, inspect the complete bundled collector script before its first invocation in the current checkout. Run only that inspected file; if it is unavailable or incomplete, do not execute it. Then announce the read-only probe and invoke the collector without a prefix:
run_script("scripts/collect-transport-facts.sh")If it resolves an NVSHMEM prefix, tell the user which installation will be analyzed. Otherwise ask for an absolute prefix and rerun:
run_script("scripts/collect-transport-facts.sh", "--prefix", "/opt/nvshmem")Replace the example prefix with the resolved absolute prefix. Preserve partial output when it exits with status 2.
If the collector emits manual_follow_up_command entries, stop automatic probing and ask the user to run those commands manually in the target host or exact allocation/container used to launch NVSHMEM. Resume after the user returns their complete output. Do not repeat a command when equivalent successful output was already supplied.
If no, request complete output from bash scripts/collect-transport-facts.sh on the target, or its GPU/driver, NIC/fabric/provider, RDMA/provider-stack, and job-scale facts. Do not request an NVSHMEM prefix in this branch. Use installation evidence already supplied; otherwise eligibility remains conditional.
2. Choose the Analysis Scope
Ask one question with exactly two choices: kernel/workload analysis or system eligibility only. Skip this when already answered.
For kernel/workload analysis, inspect only the selected kernel, its reachable device call graph, and directly corresponding host/on-stream calls when source is supplied. Otherwise use the communication-profile fields in kernel-fit.md. Do not search for other kernels.
For system eligibility only, request no source/profile details. Select the compatibility-first default among candidates that pass the static system gates, emit its minimal selection configuration, and state that workload-specific performance was not assessed.
Treat assessment as read-only. Identify the job scale and optimization goal, and determine whether relevant communication can cross nodes; local P2P/NVLink traffic does not use the remote transport.
3. Classify the Communication
When kernel/workload analysis was selected, read kernel-fit.md and record:
API surface and exact operations;
remote versus local paths;
message-size distribution and whether operations are packed;
concurrent issuers, peers, and expected physical message rate;
ordering/completion frequency and QP pressure;
host/device mix, CPU availability, and persistent-kernel behavior;
scale-sensitive resource needs such as RC versus DCI/DCT.
Do not infer a high message rate merely from many logical elements. Account for application aggregation, one-thread issuance, warp coalescing, and batching.
4. Apply Hard Eligibility Gates
Read transport-matrix.md completely. Exclude a candidate when any required condition is disproven:
plugin unavailable in the selected NVSHMEM installation;
target release or required operation is known to be unsupported;
fabric/provider mismatch;
missing driver, peer-memory/DMA-BUF, GDRCopy, DevX, UCX, libfabric, GPUNetIO, or DOCA prerequisite;
incompatible memory mode, registered-buffer use, scale, or required feature.
Treat a missing fact as conditional only when it can invalidate the proposed configuration. Otherwise recommend the documented or compatibility-first default and list the missing fact under confidence and unknowns. Keep build support, runtime loadability, and hardware suitability separate.
For this skill, a loaded gdrdrv kernel module or visible /dev/gdrdrv device is sufficient positive evidence that the GDRCopy prerequisite is present. Do not require pkg-config, ldconfig, or a discovered libgdrapi path in addition, and do not treat missing userspace-library hints as evidence that GDRCopy is absent.
For IBGDA, evaluate both the GPU data path and a separate host remote transport. For GPUNetIO GDAKI, require gpunetio as the remote transport. Never enable IBGDA and GPUNetIO GDAKI together.
5. Rank Eligible Candidates
For system eligibility only, do not apply workload-fit rules. After hard eligibility, select a compatibility-first system default: IBRC for Mellanox InfiniBand or verified RoCE, native libfabric for EFA or Slingshot/CXI, a site-required UCX path, or none for a proven local-only deployment. Emit the selection block and do not claim it is the fastest. For kernel/workload analysis, apply these rules in order without assigning artificial scores:
Mellanox/IB family gate: On Mellanox InfiniBand or verified RoCE, evaluate the native IB paths first. Use IBRC as the conservative baseline, then consider IBDevX, IBGDA, or GPUNetIO only when their prerequisites and workload fit justify them.
Other native-fabric gate: Prefer libfabric with
efaon EFA andcxion Slingshot/CXI when no known release-specific operation or memory-mode limitation conflicts with the application.No remote network: Select
noneonly when all relevant PEs communicate within a peer-reachable NVLink domain and no remote path is required.Fine-grained parallel device traffic: Favor an eligible GDAKI path when many GPU issuers submit small independent remote operations and a CPU proxy would serialize them.
GDAKI choice:
Favor IBGDA when DCI/DCT connection scaling is required, GPUNetIO is absent, or the exact release has stronger required operation coverage.
Favor GPUNetIO GDAKI when its RC connection scale is acceptable and a unified GPUNetIO CPU/GPU path or verified DOCA feature is useful.
Do not treat GPUNetIO design goals as proof that it outperforms IBGDA for this workload.
Proxy-friendly traffic: Favor a proxy path for host/on-stream-dominant work, packed larger transfers, low message concurrency, or latency-sensitive isolated operations.
Mellanox proxy choice: Use IBRC as the conservative verbs default. Recommend IBDevX only when mlx5 DevX is available, its required operation coverage is sufficient, and a concrete requirement such as avoiding a GDRCopy-dependent path justifies it. Do not claim general IBDevX superiority.
UCX choice: Favor UCX for a UCX-controlled deployment or a verified release-specific capability unavailable from the native alternatives. Preserve the bundled experimental/status caveats; consult exact documentation only when the selection depends on a release-specific detail.
If two candidates remain close, choose the compatibility-first option as the recommendation, report the other as runner-up, and state that static analysis cannot establish the performance winner.
Order the recommendation and candidate discussion by the target fabric. On Mellanox InfiniBand or verified RoCE, lead with IBRC, IBDevX, and IBGDA/GPUNetIO as applicable; do not lead with libfabric. On EFA or Slingshot/CXI, lead with the matching native libfabric provider.
6. Emit Minimal Selection Configuration
Emit only the variables required to select the resolved configuration:
| Configuration | Minimal exports |
|---|---|
| IBRC | NVSHMEM_REMOTE_TRANSPORT=ibrc |
| IBDevX | NVSHMEM_REMOTE_TRANSPORT=ibdevx |
| IBGDA | NVSHMEM_REMOTE_TRANSPORT=<resolved-host-transport> and NVSHMEM_IB_ENABLE_IBGDA=1 |
| GPUNetIO CPU | NVSHMEM_REMOTE_TRANSPORT=gpunetio and NVSHMEM_GPUNETIO_ENABLE_GDAKI=0 |
| GPUNetIO GDAKI | NVSHMEM_REMOTE_TRANSPORT=gpunetio and NVSHMEM_GPUNETIO_ENABLE_GDAKI=1 |
| UCX | NVSHMEM_REMOTE_TRANSPORT=ucx |
| libfabric | NVSHMEM_REMOTE_TRANSPORT=libfabric and `NVSHMEM_LIBFABRIC_PROVIDER=<cxi |
| No remote | NVSHMEM_REMOTE_TRANSPORT=none |
Do not add HCA mapping, QP counts, batching, NIC handlers, memory-mode changes, or provider tuning to this block. Put mandatory compatibility preconditions outside the block and route mapping/tuning to the appropriate sibling skill.
Default to emitting the minimal selection block for the recommended best-evidence configuration. Withhold it only when no viable candidate passes the hard gates or a required value cannot be resolved, such as a missing plugin, fabric/provider mismatch, or mandatory incompatible memory mode. Do not withhold merely because the patch version, workload profile, optional capability, or performance winner is unknown.
7. Return the Recommendation
Use this exact section order:
Recommendation: <transport or combined host/GPU configuration; conditional if necessary>
Selection configuration
<minimal export block, or why it is withheld>
System eligibility evidence
<version, plugins, fabric/provider, driver/module/dependency evidence>
Kernel-fit evidence
<API surface, operation shape, sizes, concurrency, fan-out, completion, scale>
Runner-up
<candidate and the fact or tradeoff that kept it second>
Excluded candidates
<candidate: hard gate or unresolved prerequisite>
Confidence and unknowns
<high|medium|low; documented facts versus inference; missing evidence>
Static follow-up checks
<read-only checks or exact facts still needed; never benchmarks>State the documentation version consulted when live verification was used. Describe performance as expected fit, not an assured result.
Routing
Route exact HCA selection and PE-to-NIC mapping to
$nvshmem-configure-nic-pe-mappingwhen available.Route missing packages, plugins, or builds to
$nvshmem-installwhen available.Route runtime initialization failures to
$nvshmem-troubleshoot-and-report-bugswhen available.If a sibling skill is unavailable, provide the boundary and required next evidence without inventing its behavior.
Available Script
| Script | Purpose | Arguments |
|---|---|---|
scripts/collect-transport-facts.sh | Collect read-only NVSHMEM, GPU, kernel-module, RDMA, and provider evidence from a target compute node. | Optional --prefix PATH |
Examples
Use $nvshmem-select-remote-transport. Inspect this target compute node and src/exchange.cu, then recommend a throughput-oriented transport for 256 PEs with 8 local PEs per node.Use $nvshmem-select-remote-transport with the attached collector output and communication profile. Recommend a compatibility-first transport for 32 PEs with 8 local PEs per node, emit the minimal selection exports, and state any assumptions.
Guardrails
Do not run NVSHMEM binaries other than the read-only
nvshmem-info -nquery.Do not launch distributed jobs, allocate nodes, benchmark transports, or mutate system/application state.
Do not recommend a plugin merely because its source exists; require evidence that the selected installation contains it.
Do not convert absent evidence into compatibility.
Do not claim that Ethernet link-layer evidence alone proves working RoCE.
Do not let kernel heuristics override an incompatible fabric/provider or missing prerequisite.
Do not emit both IBGDA and GPUNetIO GDAKI enables.
Troubleshooting
If the collector exits with status 2, preserve its output and resolve only the missing facts listed under
diagnostics.When
nvidia-smi,ibstatus,ibv_devinfo, orrdma linkfails or cannot see devices while static sysfs/module evidence suggests hardware exists, treat device access as unresolved rather than treating the hardware as absent. Ask the user to run the failed commands manually in the target host or exact launch environment; do not retry with privileges or infer eligibility from host-visible sysfs alone.If a plugin is missing or fails to initialize, verify the selected prefix and dependencies, then route runtime failures to
$nvshmem-troubleshoot-and-report-bugs.If a specialized capability remains conditional, recommend the best supported fallback and emit its configuration. Ask for exact version, provider, or operation evidence only when it could change the setting or no fallback passes the hard gates.
Limitations
Static analysis estimates architectural fit; it does not validate runtime correctness, measure performance, or guarantee the fastest transport.
Some compatibility details are release-sensitive; verify the exact target release only when the recommendation depends on one of them.
The collector describes one node and one selected installation. It does not prove cluster-wide uniformity, working RoCE, or complete operation coverage.
Incomplete evidence lowers confidence and must be disclosed, but does not by itself prevent a best-evidence recommendation or minimal exports.
<!-- ci trigger -->
Files
- ATTRIBUTION.mdAdded by AutoGineer964 B
- BENCHMARK.md9.9 KiB
- LICENSELicence file added by AutoGineer11.2 KiB
- SKILL.md16.0 KiB
- evals/evals.json15.8 KiB
- evals/files/efa.txt609 B
- evals/files/fine-grained.cu584 B
- evals/files/mellanox-gpunetio.txt625 B
- evals/files/mellanox-ibgda.txt735 B
- evals/files/missing-plugin.txt462 B
- evals/files/mixed-api.cu616 B
- evals/files/nvlink-only.txt584 B
- evals/files/packed-put.cu431 B
- evals/files/slingshot-cxi.txt545 B
- evals/files/ucx-only.txt543 B
- evals/files/unknown-version.txt530 B
- references/kernel-fit.md8.5 KiB
- references/transport-matrix.md13.5 KiB
- scripts/collect-transport-facts.shScript17.5 KiB
- skill-card.md3.9 KiB
- skill.oms.sig7.8 KiB
references/kernel-fit.md
Kernel and API Fit Analysis
Use this reference after system eligibility is known. Kernel fit can rank only candidates that passed hard plugin, fabric, provider, prerequisite, and any applicable release-specific gates.
Contents
Analysis boundary
Evidence to extract
Proxy versus GDAKI
Scale and queue-pair pressure
Decision patterns
Common analysis errors
Communication profile template
Analysis Boundary
Analyze exactly the user-selected kernel, its reachable device call graph, and directly corresponding host/on-stream calls.
Classify only operations that can target a remote PE. Local peer loads/stores and NVLink P2P paths do not select a remote plugin.
Do not edit code, expand to adjacent kernels, or infer application-wide behavior from one helper without call-site evidence.
If source is unavailable, accept a user-supplied profile using the template below. Mark unverified fields explicitly.
Evidence to Extract
API Surface
Record each of:
host API;
_on_streamAPI;device scalar/thread API;
warp/block/team collective API;
custom-QP API;
waits, barriers, fence, quiet, or flush.
IBGDA accelerates eligible device-side network operations; it does not replace the separately selected host remote transport. GPUNetIO can provide a CPU path and optional GPU path in one plugin. For host/on-stream-heavy applications, evaluate the CPU path directly.
Operation Family
Record the exact type and width for:
put/get and NBI variants;
scalar
p/g;put-with-signal and signal-only operations;
standard and extended atomics;
synchronization and completion;
collectives and their actual backend.
Operation coverage is a hard gate, not a performance preference.
Message Shape
Record typical, minimum, and maximum physical bytes per NVSHMEM call. Distinguish:
logical elements from physical messages;
application packing/aggregation from one call per element;
one issuing lane from every thread issuing independently;
blocking versus NBI only when it changes the transport work/completion pattern.
Do not label a kernel fine-grained merely because it processes small elements. A kernel that packs thousands of elements into one 16 KiB put is a moderate-message workload, not millions of 8-byte network operations.
Concurrency and Fan-Out
Record:
active CTAs, warps, and issuing lanes per CTA;
maximum simultaneous issuers after warp coalescing or leader-only control flow;
remote peers per iteration;
whether peers differ across issuers;
whether operations serialize on a CTA barrier, global quiet, or dependency.
Estimate physical message rate only when loop counts, aggregation, and synchronization make it
possible. Otherwise use qualitative low, moderate, or high with supporting evidence.
Completion and Ordering
Frequent quiet, fence, or target-dependent completion can dominate transport choice and increase
QP synchronization costs. Record:
completion after every operation versus amortized completion;
get/fetch dependencies that force immediate completion;
source-buffer reuse requirements;
cross-CTA or grid-wide synchronization.
Host and CPU Conditions
Record whether:
a CPU proxy core is available and correctly pinned;
the kernel is persistent/long-running;
host/on-stream calls dominate total remote bytes or operations;
CPU oversubscription, container limits, or multiple PEs share proxy resources.
CPU constraints can strengthen a GDAKI inference, but they do not make an ineligible GDAKI path available.
Proxy Versus GDAKI
Evidence Favoring a Proxy Path
Host or on-stream APIs dominate remote communication.
A small number of GPU lanes issue operations.
Application data is already packed into larger transfers.
An isolated operation's latency matters more than aggregate message rate.
Frequent dependencies prevent parallel network submission.
GDAKI setup, plugin, operation, or connection-scale requirements are unresolved.
IBRC, IBDevX, UCX, libfabric, and the GPUNetIO CPU path are proxy/CPU-submission candidates. Fabric and provider gates choose among them before kernel fit.
Evidence Favoring GDAKI
Many warps/CTAs issue independent remote operations concurrently.
Physical messages are small enough that a single CPU proxy is likely to serialize submission.
The kernel is persistent or communication is integrated into GPU work.
Peer fan-out allows multiple QPs/NICs to be used concurrently.
Completion is sufficiently amortized to preserve parallelism.
GDAKI fit is an inference, not proof of speedup. Public guidance also notes that an individual GPU thread creates a WQE more slowly than a CPU thread, so low-concurrency latency can favor a proxy.
Mixed Workloads
For mixed host and device traffic, recommend a configuration rather than a single label:
IBGDA plus an independently selected host remote transport; or
GPUNetIO with its CPU path and optional GDAKI path.
Compare operation coverage and connection scale for both halves. Do not recommend IBGDA alone.
Scale and Queue-Pair Pressure
RC
RC QPs can offer low latency but consume resources per connected peer. Estimate the connection shape from total PEs, local PEs, QPs per peer, selected NICs, and whether every PE communicates with every other PE.
Do not invent a universal PE threshold. Mark RC scale conditional when resource limits are not known.
DCI/DCT
IBGDA can use DCI/DCT to reduce connection growth. This can favor IBGDA over an RC-only GDAKI path at large scale, at the cost of connection switching and possible latency. Verify exact release defaults and required QP types.
QP Mapping and Contention
CTA, warp, SM, or round-robin QP mapping can materially affect high-message-rate workloads, but it is tuning after transport selection. Record QP pressure as evidence; route exact QP settings to a separate tuning task and keep them out of the minimal selection block.
Decision Patterns
| Observed workload | Expected architectural fit after hard gates |
|---|---|
| EFA or Slingshot/CXI deployment | Native libfabric provider; kernel fit tunes expectations but does not override provider gate |
| 1-2 lanes issuing packed 64 KiB puts | Proxy-friendly; compatibility-first native provider |
| 128 CTAs issuing independent 8-64 B puts to many peers | GDAKI-favorable if physical messages are truly independent |
| 128 CTAs but application aggregates into 16 KiB buffers | Moderate-message workload; do not assume GDAKI advantage from logical count |
| Persistent device kernel with little CPU availability | GDAKI-favorable if eligible and operation coverage is complete |
| Host/on-stream RMA dominates | CPU/proxy transport; evaluate provider and host coverage |
| Large all-to-all PE scale with many RCs per peer | Consider IBGDA DCI/DCT; verify resource limits |
| NVLink-only peer-reachable job | none may be eligible; verify every relevant PE pair |
| Collectives only | Resolve actual collective backend before ranking point-to-point plugins |
Common Analysis Errors
Counting CUDA threads rather than threads that actually call NVSHMEM.
Counting logical elements rather than physical NVSHMEM operations.
Ignoring packing, warp coalescing, leader-only issuance, or batching.
Assuming
_blockmeans every thread submits a network operation on a proxy transport.Treating NBI as automatically parallel when each operation is followed by immediate quiet.
Treating single-node execution as NVLink-only without peer-access evidence.
Assuming a transport selected for device calls also covers host/on-stream calls.
Ranking a transport whose plugin or exact operation coverage is unknown.
Claiming GPUNetIO is faster because a design goal says equivalent or better.
Claiming IBDevX is faster because it uses DevX.
Communication Profile Template
Use this when source inspection is unavailable:
Application/kernel:
NVSHMEM version and prefix:
Total PEs / local PEs:
Fabric/provider:
API surface: host | on-stream | device | mixed
Operations and datatypes:
Typical/min/max bytes per NVSHMEM call:
Issuing CTAs, warps, and lanes:
Remote peers per issuer:
Application packing/aggregation:
Completion/ordering frequency:
Host versus device operation share:
Persistent kernel: yes | no | unknown
Required features: atomics | signals | VMM | registered buffers | custom QPs | other
Optimization goal: default | latency | throughput | compatibility
Unknowns:Requirements and compatibility
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Attribution and licence
- Created by
- NVIDIA NVSHMEM Team
- Publisher
- NVIDIA (Official)
- Source
- NVIDIA/skills · skills/nvshmem-select-remote-transport · commit fce3cca
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE-APACHE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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