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Refactor demo code in "Configuring Model Bundles" so that it actually reuses bundle parameters #103

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Refactor demo code in "Configuring Model Bundles" so that it actually reuses bundle parameters #103

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18 changes: 8 additions & 10 deletions docs/concepts/model_bundles.md
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Original file line number Diff line number Diff line change
Expand Up @@ -309,30 +309,28 @@ def my_load_model_fn(app_config):
return my_model_batched


BUNDLE_PARAMS_SINGLE = {
"model_bundle_name": "test-bundle-single",
BUNDLE_PARAMS_BASE = {
"load_predict_fn": my_load_predict_fn,
"load_model_fn": my_load_model_fn,
"requirements": ["pytest==7.2.1", "numpy"],
"request_schema": MyRequestSchema,
"response_schema": MyResponseSchema,
"pytorch_image_tag": "1.7.1-cuda11.0-cudnn8-runtime",
}

BUNDLE_PARAMS_SINGLE = {
"model_bundle_name": "test-bundle-single",
"app_config": {"mode": "single"},
}

BUNDLE_PARAMS_BATCHED = {
"model_bundle_name": "test-bundle-batched",
"load_predict_fn": my_load_predict_fn,
"load_model_fn": my_load_model_fn,
"requirements": ["pytest==7.2.1", "numpy"],
"request_schema": MyRequestSchema,
"response_schema": MyResponseSchema,
"pytorch_image_tag": "1.7.1-cuda11.0-cudnn8-runtime",
"app_config": {"mode": "batched"},
}

client = LaunchClient(api_key=os.getenv("LAUNCH_API_KEY"))
bundle_single = client.create_model_bundle_from_callable_v2(**BUNDLE_PARAMS_SINGLE)
bundle_batch = client.create_model_bundle_from_callable_v2(**BUNDLE_PARAMS_BATCHED)
bundle_single = client.create_model_bundle_from_callable_v2(**BUNDLE_PARAMS_BASE, **BUNDLE_PARAMS_SINGLE)
bundle_batch = client.create_model_bundle_from_callable_v2(**BUNDLE_PARAMS_BASE, **BUNDLE_PARAMS_BATCHED)
```

## Updating Model Bundles
Expand Down