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feat: enhance service decorator to support class and function usage
main
2 months ago
feat: enhance service decorator to support class and function usage
dynamic
2 months ago
Update README.md Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
main
2 months ago
Update README.md Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
graph
2 months ago
feat: enable unpack() to work with @ta.jit decorator - Remove @node decorator from unpack() and use asyncio.gather() to call get() for each key - This allows tuple unpacking syntax to work during JIT tracing - Update bundle examples to use @ta.jit with unpack() - Add test case verifying unpack works with @ta.jit - Update documentation to reflect that unpack now works everywhere
graph
2 months ago
feat: enable unpack() to work with @ta.jit decorator - Remove @node decorator from unpack() and use asyncio.gather() to call get() for each key - This allows tuple unpacking syntax to work during JIT tracing - Update bundle examples to use @ta.jit with unpack() - Add test case verifying unpack works with @ta.jit - Update documentation to reflect that unpack now works everywhere
graph
2 months ago
Refactor distributed module for improved scaling and optimization - Removed ScalingPolicy class and integrated scaling configuration directly into ReplicaSpec. - Enhanced AutoScaler to auto-discover replicas with throughput configured. - Introduced DeploymentPlan class for actionable deployment strategies based on optimization results. - Updated replica registration to include throughput and scaling parameters. - Simplified validation logic by removing the validation module and integrating checks directly into NodeConfig and ReplicaSpec. - Improved documentation and examples for clarity on usage and configuration. - Cleaned up imports and organized the __init__.py for better module structure.
main
2 months ago
Refactor distributed module for improved scaling and optimization - Removed ScalingPolicy class and integrated scaling configuration directly into ReplicaSpec. - Enhanced AutoScaler to auto-discover replicas with throughput configured. - Introduced DeploymentPlan class for actionable deployment strategies based on optimization results. - Updated replica registration to include throughput and scaling parameters. - Simplified validation logic by removing the validation module and integrating checks directly into NodeConfig and ReplicaSpec. - Improved documentation and examples for clarity on usage and configuration. - Cleaned up imports and organized the __init__.py for better module structure.
dev
2 months ago
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