framework / Engineering

TensorFlow MUSA Extension

Moore Threads internship: operators, optimizers, GELU fusion, profiling and long-run stability.

Problem & contribution

The GPU backend needed consistent TensorFlow operator semantics, HostMemory placement, resource variables and device-kernel lifetimes.

January–April 2026, Operator and Compiler Optimization Intern. Integrated muDNN, repaired GELU fusion, optimized Logical_Or, and implemented or fixed Adam / AdaMax / GradientDescent paths and tests. Reworked HostMemory handling and fixed resource updates and session shutdown.

Validation

Condition / metricResult
GELU fusion coverage11 / 11
GELU latency on workload-shaped tests−36.6%
Logical_Or latency21.2 μs → 10.7 μs
Staged stability validation500 rounds ≈30% success → 1,000 rounds 100%
Long-run validation rounds40,000 / 400,000 / 800,000

Public PRs provide verifiable internship outputs. They are included once in the internship-inclusive contribution total.

Source: the author’s September 2026 resume and engineering summary; results apply to the stated test conditions.

GELU and Logical_Or numbers are operator-level results, not whole-model throughput gains. Long-run results describe the tested environment and duration, not indefinite stability.

Public internship PRs

2026-09-29
PRMerged changeStatus
#163 ↗AdaMax operators, resource-variable support and tests.Merged
#144 ↗Long-run stability, OOM and GradientDescent locking fixes.Merged
#138 ↗GradientDescent operators for reference and resource variables.Merged
#135 ↗Debug timing and shape synchronization stability.Merged
#129 ↗Logical_Or scalar-broadcast optimization and logical-operator tests.Merged
#113 ↗AddV2 hot-path optimization and profiling-noise reduction.Merged
#101 ↗muDNN GELU, fusion fixes and workload-shaped benchmarks.Merged
#78 ↗ResourceApplyAdam updates and session-close stability.Merged
#72 ↗GELU graph fusion and correctness validation.Merged
#57 ↗Kernel timing instrumentation.Merged