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pytorch

Official

@pytorch · where the eigens are valued

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70Public Repos
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34Published Skills

Provides infrastructure orchestration for Kubernetes clusters and specialized model deployment pipelines for edge hardware targets.

Skills Distribution
DomainCloud & Comp...Kubernetes Orchest.. (40%)Edge Model Deploym.. (30%)Infrastructure Rel.. (30%)

Agent Skills by pytorch

Showing 34 vetted skills indexed across 3 GitHub repositories.

pytorchpytorch
5.0k

binary-size

Analyze and reduce ExecuTorch runtime binary size using bloaty and size test builds.

Official
Intermediate
pytorchpytorch
5.0k

executorch-kb

Searches a curated ExecuTorch knowledge base covering backends, quantization, export pitfalls, and runtime errors.

Official
Intermediate
pytorchpytorch
5.0k

zephyr

Build and configure ExecuTorch as a Zephyr RTOS module for embedded boards.

Official
Advanced
pytorchpytorch
5.0k

building

Builds ExecuTorch Python packages, C++ runtimes, model runners, and cross-compiled mobile libraries from source.

Official
Advanced
pytorchpytorch
102.7k

aoti-debug

Diagnose AOTInductor runtime errors, segfaults, and Triton index out-of-bounds failures.

Official
Advanced
pytorchpytorch
102.7k

metal-kernel

Write Metal/MPS kernels for PyTorch operators on Apple Silicon.

Official
Advanced
pytorchpytorch
102.7k

pyrefly-type-coverage

Migrate Python files to strict Pyrefly type checking with full annotations.

Official
Advanced
pytorchpytorch
102.7k

scrub-issue

Fetch, reproduce, and minimize GitHub issue reproductions for PyTorch bug triage.

Official
Advanced
pytorchpytorch
102.7k

pt2-bug-basher

Debug PyTorch 2 compiler stack failures across Dynamo, Inductor, and AOTAutograd.

Official
Advanced
pytorchpytorch
102.7k

cuda-index-width

Diagnose and fix 32-bit vs 64-bit index math overflows in PyTorch CUDA kernels.

Official
Advanced
pytorchpytorch
102.7k

ci-metrics

Query PyTorch CI workflows, test runs, and runner infrastructure metrics via Grafana.

Official
Intermediate
pytorchpytorch
102.7k

at-dispatch-v2

Convert legacy AT_DISPATCH macros to AT_DISPATCH_V2 format in PyTorch ATen C++ code.

Official
Intermediate
pytorchpytorch
102.7k

add-uint-support

Add unsigned integer type support to PyTorch operator dispatch macros.

Official
Intermediate
pytorchpytorch
102.7k

fix-issue

Reproduce, root-cause, and fix bugs reported in PyTorch GitHub issues.

Official
Advanced
pytorchpytorch
102.7k

triaging-issues

Triage GitHub issues by routing, labeling, and closing usage questions.

Official
Advanced
pytorchpytorch
102.7k

pr-review

Review PyTorch pull requests for code quality, testing, security, and backward compatibility.

Official
Advanced
pytorchpytorch
102.7k

distributed-triage

Sub-triage PyTorch distributed training issues by routing to sub-oncalls and classifying modules.

Official
Advanced
pytorchpytorch
102.7k

document-public-apis

Document undocumented PyTorch public APIs by adding Sphinx autodoc directives to doc source files.

Official
Advanced
pytorchpytorch
17

osdc-runners-nodepools

Validate OSDC GitHub Actions runner and EKS NodePool changes with lint and test checks.

Official
Advanced
pytorchpytorch
17

pytorch-runners-routing

Resolve PyTorch CI runner labels to final infrastructure and fleet.

Official
Advanced
pytorchpytorch
17

osdc-harbor

Configure and troubleshoot Harbor pull-through caching for IPv6-only EKS Kubernetes clusters.

Official
Advanced
pytorchpytorch
17

osdc-project-structure

Guides engineers in modifying the OSDC infrastructure repository while preserving its architecture.

Official
Intermediate
pytorchpytorch
17

osdc-nodelocaldns

Deploy and troubleshoot NodeLocal DNSCache in IPv6-only Kubernetes clusters.

Official
Advanced
pytorchpytorch
17

osdc-observability

Operates and troubleshoots OSDC monitoring and logging pipelines in Kubernetes and Terraform environments.

Official
Advanced

Frequently Asked Questions About pytorch

FAQPage Schema
What specific tasks are enabled by these infrastructure and deployment capabilities?

These capabilities enable the deployment of quantized models to edge hardware, the management of IPv6-only Kubernetes clusters, and the maintenance of CI runner infrastructure. Engineers can perform model profiling, troubleshoot container registry caching, and manage cluster-level networking configurations using established infrastructure-as-code patterns.

Which target personas benefit from these infrastructure and deployment skills?

These skills are designed for MLOps engineers, infrastructure reliability engineers, and embedded systems developers. The content specifically supports those managing large-scale CI/CD runner fleets, Kubernetes cluster networking, and developers tasked with optimizing model execution for resource-constrained edge hardware targets.

What are the prerequisites and dependencies for implementing these deployment patterns?

Implementation requires an existing AWS EKS environment, Terraform for infrastructure provisioning, and Helm for package management. For model deployment, users must have the ExecuTorch runtime installed and configured with the appropriate target-specific compiler passes for hardware acceleration.