Implement IluvatarGPU adapter for PaddlePaddle

[Copilot]

Foundational adapter layer enabling PaddlePaddle to run on Iluvatar GPU hardware. Stub implementation with complete interfaces ready for SDK integration.

Architecture

C++ Core (csrc/, include/)

• Device lifecycle (init, query, sync)
• Memory allocator with H2D/D2H/D2D transfers
• Stream/event primitives for async execution
• Error propagation with exception safety

Python Bindings (python/paddle_iluvatar/)

• NumPy-integrated API
• RAII resource management
• Full API surface: device, memory, stream

Build System

• CMake for C++ compilation
• setuptools for Python packaging
• GitHub Actions CI with pytest/flake8

Usage

import paddle_iluvatar.device as device
import paddle_iluvatar.memory as memory

# Device management
device.set_device(0)
props = device.get_device_properties(0)

# Memory operations
d_mem = memory.malloc(1024 * 1024)
memory.memcpy_h2d(d_mem, host_array)

Current State

Stub implementation using host memory simulation. All interfaces defined and tested (19 unit tests). Ready for SDK integration by replacing stub calls with actual Iluvatar runtime API.

Documentation

• Architecture guide with integration roadmap
• Complete API reference (Python + C++)
• SDK integration guide with code mappings
• Contributing guidelines

Original prompt

IluvatarGPU适配Paddle

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