src/pqc_gpu_driver/backends/memory.py
| 1 | """In-memory backend - reference implementation for tests and demos.""" |
| 2 | |
| 3 | from __future__ import annotations |
| 4 | |
| 5 | import uuid |
| 6 | |
| 7 | from pqc_gpu_driver.backends.base import GPUBackend |
| 8 | from pqc_gpu_driver.errors import BackendError |
| 9 | from pqc_gpu_driver.tensor import EncryptedTensor |
| 10 | |
| 11 | |
| 12 | class InMemoryBackend(GPUBackend): |
| 13 | """Deterministic in-memory backend. |
| 14 | |
| 15 | Stores EncryptedTensor bundles in a dict keyed by a synthetic device handle. |
| 16 | Suitable for tests, tutorials, and CI - has no dependency on any GPU runtime. |
| 17 | The bytes stay encrypted; the backend never peeks inside the ciphertext. |
| 18 | """ |
| 19 | |
| 20 | name = "in-memory" |
| 21 | device_type = "in-memory" |
| 22 | |
| 23 | def __init__(self, device_label: str = "simulated-gpu-0") -> None: |
| 24 | self.device_label = device_label |
| 25 | self._store: dict[str, EncryptedTensor] = {} |
| 26 | |
| 27 | def upload(self, tensor: EncryptedTensor) -> str: |
| 28 | handle = f"mem:{uuid.uuid4().hex}" |
| 29 | self._store[handle] = tensor |
| 30 | return handle |
| 31 | |
| 32 | def download(self, device_handle: str) -> EncryptedTensor: |
| 33 | if device_handle not in self._store: |
| 34 | raise BackendError(f"unknown device handle {device_handle}") |
| 35 | return self._store[device_handle] |
| 36 | |
| 37 | def free(self, device_handle: str) -> None: |
| 38 | if device_handle not in self._store: |
| 39 | raise BackendError(f"unknown device handle {device_handle}") |
| 40 | del self._store[device_handle] |
| 41 | |
| 42 | def device_info(self) -> dict: |
| 43 | return { |
| 44 | "name": self.device_label, |
| 45 | "device_type": self.device_type, |
| 46 | "compute_capability": "n/a", |
| 47 | "memory_bytes": sum( |
| 48 | len(t.ciphertext) // 2 for t in self._store.values() |
| 49 | ), |
| 50 | "live_handles": len(self._store), |
| 51 | } |
| 52 | |