deployment_target module
DeploymentTarget
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Parameters
**data: Any
Bases
pydantic.main.BaseModel
pydantic.utils.Representation
Class variables
Config
badge: Optional[edgeimpulse_api.models.deployment_target_badge.DeploymentTargetBadge]
custom_deploy_id: Optional[pydantic.types.StrictInt]
description: pydantic.types.StrictStr
docs_url: pydantic.types.StrictStr
firmware_repo_url: Optional[pydantic.types.StrictStr]
format: pydantic.types.StrictStr
has_akida: pydantic.types.StrictBool
has_drpai: pydantic.types.StrictBool
has_eon_compiler: pydantic.types.StrictBool
has_memryx: pydantic.types.StrictBool
has_tensai_flow: pydantic.types.StrictBool
has_tensor_rt: pydantic.types.StrictBool
has_tidl: pydantic.types.StrictBool
hide_optimizations: pydantic.types.StrictBool
image: pydantic.types.StrictStr
image_classes: pydantic.types.StrictStr
integrate_url: Optional[pydantic.types.StrictStr]
latency_device: Optional[pydantic.types.StrictStr]
name: pydantic.types.StrictStr
owner_organization_name: Optional[pydantic.types.StrictStr]
preferred_engine: edgeimpulse_api.models.deployment_target_engine.DeploymentTargetEngine
supported_engines: List[edgeimpulse_api.models.deployment_target_engine.DeploymentTargetEngine]
ui_section: pydantic.types.StrictStr
url: Optional[pydantic.types.StrictStr]
Static methods
from_dict
Create an instance of DeploymentTarget from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.deployment_target.DeploymentTarget
from_json
Create an instance of DeploymentTarget from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.deployment_target.DeploymentTarget
ui_section_validate_enum
Parameters
v
Methods
to_dict
Returns the dictionary representation of the model using alias
Parameters
self
to_json
Returns the JSON representation of the model using alias
Parameters
self
indent=None
Return
str
to_str
Returns the string representation of the model using alias
Parameters
self
Return
str
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