Individual skill
evo-jax-compute
Implements all five JAX computation tasks - row-wise mean reduction, element-wise squaring, logistic loss gradient via jax.grad, RNN forward pass via jax.lax.scan, and JIT-compiled 2-layer MLP forward pass.
tasks-evolved/jax-computing-basics/environment/skills/evo-jax-compute/SKILL.md
Source commit 84ca182da055fafb6453dcec4a6defdbbfd987c1
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- Yes
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- Yes
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- No
- Observed behavior
- Local scripts
- Last checked
- Nov 6, 2026
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- 97
- Repository last updated
- Sep 10, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- ai-agents Repository topic
- llm-agents Repository topic
- open-world Repository topic
- self-evolving-agents Repository topic
- engineering Derived category
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SKILL.mdcore · 2,493 bytesSKILL.mdcore · 2,493 bytesscripts/__init__.pyruns · 170 bytesscripts/compute_utils.pyruns · 6,197 bytes
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# evo-jax-compute
All JAX computation logic for the five problem tasks, dispatching by problem ID.
## Quick Start
```python
import sys
sys.path.insert(0, '/app/environment/skills/evo-jax-compute/scripts')
from compute_utils import dispatch_task, compute_basic_reduce, compute_scan_rnn
# Dispatch by task ID
result = dispatch_task('basic_reduce', 'compute mean of each row', jax_data)