backend.ai-accelerator-cuda-mock
A mockup plugin for CUDA accelerators
This plugin deceives the agent and manager to think as if there are CUDA devices.
The configuration follows cuda-mock.toml placed in the same location of agent.toml.
Please refer the sample configurations in the configs/accelerator directory and copy one of them as a starting point.
The statistics are randomly generated in reasonable ranges, but it may seem like "jumping around" because there is no smoothing mechanism of generated values. The configurations for fractional/discrete mode, fraction size, and device masks in etcd are exactly same as the original plugin.
The containers are created without any real CUDA device mounts but with BACKENDAI_MOCK_CUDA_DEVICES and BACKENDAI_MOCK_CUDA_DEVICE_COUNT environment variables.
Since the manager does not know if the reported devices are real or not, you can start any CUDA-only containers (but of course they won't work as expected).
Metadata
Release files for backend.ai-accelerator-cuda-mock 23.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| backend.ai-accelerator-cuda-mock-23.3.0.tar.gz | 11.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| backend.ai_accelerator_cuda_mock-23.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.5 kB
Release files / backend.ai-accelerator-cuda-mock-23.3.0.tar.gz
| Download URL | backend.ai-accelerator-cuda-mock-23.3.0.tar.gz |
|---|---|
| Size | 11.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / backend.ai_accelerator_cuda_mock-23.3.0-py3-none-any.whl
| Download URL | backend.ai_accelerator_cuda_mock-23.3.0-py3-none-any.whl |
|---|---|
| Size | 11.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.16
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