Furiosa Registry
Furiosa Registry defines Model which allows client to communicate with several types of registries.
Getting started
Install
pip install furiosa-registry
List up available models
import furiosa.common.thread as synchronous
import furiosa.registry as registry
# Repository where to load models from.
repository = "https://github.com/furiosa-ai/furiosa-artifacts"
# List up the available artifacts.
models: List[registry.Model] = synchronous(registry.list)(repository)
for model in models:
print(model.name)
Load models
import furiosa.common.thread as synchronous
import furiosa.registry as registry
# Repository where to load models from.
repository = "https://github.com/furiosa-ai/furiosa-artifacts"
models: registry.Model = synchronous(registry.load)(uri=repository, name="MLCommonsResNet50")
# Access the model
print(model.name)
print(model.version)
print(model.metadata.description)
Print documentation about a model
import furiosa.common.thread as synchronous
import furiosa.registry as registry
# Repository where to load models from.
repository = "https://github.com/furiosa-ai/furiosa-artifacts"
print(synchronous(registry.help)(repository, "MLCommonsResNet50"))
Development
Generate artfiact JSON schema from pydantic model definition.
When you changed model schema, you can generate modified schema via
python -c 'from furiosa.registry import Model;\
print(Model.schema_json(indent=2), file=open("model_schema.json", "w"))'
See model_schema.json
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