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Merged
merged 1 commit into from
Aug 26, 2025
Merged

feat(inference): add model size to verify model response #1176

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158 changes: 79 additions & 79 deletions scaleway-async/scaleway_async/inference/v1/marshalling.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,11 +16,11 @@
EndpointPrivateNetworkDetails,
EndpointPublicNetworkDetails,
Endpoint,
DeploymentQuantization,
Deployment,
ModelSupportedQuantization,
ModelSupportedNode,
ModelSupportInfo,
DeploymentQuantization,
Deployment,
Model,
ListDeploymentsResponse,
ListModelsResponse,
Expand Down Expand Up @@ -105,83 +105,6 @@ def unmarshal_Endpoint(data: Any) -> Endpoint:
return Endpoint(**args)


def unmarshal_ModelSupportedQuantization(data: Any) -> ModelSupportedQuantization:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportedQuantization' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("quantization_bits", None)
if field is not None:
args["quantization_bits"] = field
else:
args["quantization_bits"] = 0

field = data.get("allowed", None)
if field is not None:
args["allowed"] = field
else:
args["allowed"] = False

field = data.get("max_context_size", None)
if field is not None:
args["max_context_size"] = field
else:
args["max_context_size"] = 0

return ModelSupportedQuantization(**args)


def unmarshal_ModelSupportedNode(data: Any) -> ModelSupportedNode:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportedNode' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("node_type_name", None)
if field is not None:
args["node_type_name"] = field
else:
args["node_type_name"] = None

field = data.get("quantizations", None)
if field is not None:
args["quantizations"] = (
[unmarshal_ModelSupportedQuantization(v) for v in field]
if field is not None
else None
)
else:
args["quantizations"] = []

return ModelSupportedNode(**args)


def unmarshal_ModelSupportInfo(data: Any) -> ModelSupportInfo:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportInfo' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("nodes", None)
if field is not None:
args["nodes"] = (
[unmarshal_ModelSupportedNode(v) for v in field]
if field is not None
else None
)
else:
args["nodes"] = []

return ModelSupportInfo(**args)


def unmarshal_DeploymentQuantization(data: Any) -> DeploymentQuantization:
if not isinstance(data, dict):
raise TypeError(
Expand Down Expand Up @@ -314,6 +237,83 @@ def unmarshal_Deployment(data: Any) -> Deployment:
return Deployment(**args)


def unmarshal_ModelSupportedQuantization(data: Any) -> ModelSupportedQuantization:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportedQuantization' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("quantization_bits", None)
if field is not None:
args["quantization_bits"] = field
else:
args["quantization_bits"] = 0

field = data.get("allowed", None)
if field is not None:
args["allowed"] = field
else:
args["allowed"] = False

field = data.get("max_context_size", None)
if field is not None:
args["max_context_size"] = field
else:
args["max_context_size"] = 0

return ModelSupportedQuantization(**args)


def unmarshal_ModelSupportedNode(data: Any) -> ModelSupportedNode:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportedNode' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("node_type_name", None)
if field is not None:
args["node_type_name"] = field
else:
args["node_type_name"] = None

field = data.get("quantizations", None)
if field is not None:
args["quantizations"] = (
[unmarshal_ModelSupportedQuantization(v) for v in field]
if field is not None
else None
)
else:
args["quantizations"] = []

return ModelSupportedNode(**args)


def unmarshal_ModelSupportInfo(data: Any) -> ModelSupportInfo:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportInfo' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("nodes", None)
if field is not None:
args["nodes"] = (
[unmarshal_ModelSupportedNode(v) for v in field]
if field is not None
else None
)
else:
args["nodes"] = []

return ModelSupportInfo(**args)


def unmarshal_Model(data: Any) -> Model:
if not isinstance(data, dict):
raise TypeError(
Expand Down
158 changes: 79 additions & 79 deletions scaleway/scaleway/inference/v1/marshalling.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,11 +16,11 @@
EndpointPrivateNetworkDetails,
EndpointPublicNetworkDetails,
Endpoint,
DeploymentQuantization,
Deployment,
ModelSupportedQuantization,
ModelSupportedNode,
ModelSupportInfo,
DeploymentQuantization,
Deployment,
Model,
ListDeploymentsResponse,
ListModelsResponse,
Expand Down Expand Up @@ -105,83 +105,6 @@ def unmarshal_Endpoint(data: Any) -> Endpoint:
return Endpoint(**args)


def unmarshal_ModelSupportedQuantization(data: Any) -> ModelSupportedQuantization:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportedQuantization' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("quantization_bits", None)
if field is not None:
args["quantization_bits"] = field
else:
args["quantization_bits"] = 0

field = data.get("allowed", None)
if field is not None:
args["allowed"] = field
else:
args["allowed"] = False

field = data.get("max_context_size", None)
if field is not None:
args["max_context_size"] = field
else:
args["max_context_size"] = 0

return ModelSupportedQuantization(**args)


def unmarshal_ModelSupportedNode(data: Any) -> ModelSupportedNode:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportedNode' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("node_type_name", None)
if field is not None:
args["node_type_name"] = field
else:
args["node_type_name"] = None

field = data.get("quantizations", None)
if field is not None:
args["quantizations"] = (
[unmarshal_ModelSupportedQuantization(v) for v in field]
if field is not None
else None
)
else:
args["quantizations"] = []

return ModelSupportedNode(**args)


def unmarshal_ModelSupportInfo(data: Any) -> ModelSupportInfo:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportInfo' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("nodes", None)
if field is not None:
args["nodes"] = (
[unmarshal_ModelSupportedNode(v) for v in field]
if field is not None
else None
)
else:
args["nodes"] = []

return ModelSupportInfo(**args)


def unmarshal_DeploymentQuantization(data: Any) -> DeploymentQuantization:
if not isinstance(data, dict):
raise TypeError(
Expand Down Expand Up @@ -314,6 +237,83 @@ def unmarshal_Deployment(data: Any) -> Deployment:
return Deployment(**args)


def unmarshal_ModelSupportedQuantization(data: Any) -> ModelSupportedQuantization:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportedQuantization' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("quantization_bits", None)
if field is not None:
args["quantization_bits"] = field
else:
args["quantization_bits"] = 0

field = data.get("allowed", None)
if field is not None:
args["allowed"] = field
else:
args["allowed"] = False

field = data.get("max_context_size", None)
if field is not None:
args["max_context_size"] = field
else:
args["max_context_size"] = 0

return ModelSupportedQuantization(**args)


def unmarshal_ModelSupportedNode(data: Any) -> ModelSupportedNode:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportedNode' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("node_type_name", None)
if field is not None:
args["node_type_name"] = field
else:
args["node_type_name"] = None

field = data.get("quantizations", None)
if field is not None:
args["quantizations"] = (
[unmarshal_ModelSupportedQuantization(v) for v in field]
if field is not None
else None
)
else:
args["quantizations"] = []

return ModelSupportedNode(**args)


def unmarshal_ModelSupportInfo(data: Any) -> ModelSupportInfo:
if not isinstance(data, dict):
raise TypeError(
"Unmarshalling the type 'ModelSupportInfo' failed as data isn't a dictionary."
)

args: Dict[str, Any] = {}

field = data.get("nodes", None)
if field is not None:
args["nodes"] = (
[unmarshal_ModelSupportedNode(v) for v in field]
if field is not None
else None
)
else:
args["nodes"] = []

return ModelSupportInfo(**args)


def unmarshal_Model(data: Any) -> Model:
if not isinstance(data, dict):
raise TypeError(
Expand Down
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