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  6. getModel

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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.firebaseml/v1beta2.getModel

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

    Gets a model resource.

    Using getModel

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getModel(args: GetModelArgs, opts?: InvokeOptions): Promise<GetModelResult>
function getModelOutput(args: GetModelOutputArgs, opts?: InvokeOptions): Output<GetModelResult>
    def get_model(model_id: Optional[str] = None,
              project: Optional[str] = None,
              opts: Optional[InvokeOptions] = None) -> GetModelResult
def get_model_output(model_id: Optional[pulumi.Input[str]] = None,
              project: Optional[pulumi.Input[str]] = None,
              opts: Optional[InvokeOptions] = None) -> Output[GetModelResult]
    func LookupModel(ctx *Context, args *LookupModelArgs, opts ...InvokeOption) (*LookupModelResult, error)
func LookupModelOutput(ctx *Context, args *LookupModelOutputArgs, opts ...InvokeOption) LookupModelResultOutput

    > Note: This function is named LookupModel in the Go SDK.

    public static class GetModel 
{
    public static Task<GetModelResult> InvokeAsync(GetModelArgs args, InvokeOptions? opts = null)
    public static Output<GetModelResult> Invoke(GetModelInvokeArgs args, InvokeOptions? opts = null)
}
    public static CompletableFuture<GetModelResult> getModel(GetModelArgs args, InvokeOptions options)
public static Output<GetModelResult> getModel(GetModelArgs args, InvokeOptions options)

    fn::invoke:
  function: google-native:firebaseml/v1beta2:getModel
  arguments:
    # arguments dictionary

    The following arguments are supported:

    ModelId string
    Project string
    ModelId string
    Project string
    modelId String
    project String
    modelId string
    project string
    modelId String
    project String

    getModel Result

    The following output properties are available:

    ActiveOperations List<Pulumi.GoogleNative.FirebaseML.V1Beta2.Outputs.OperationResponse>
    Lists operation ids associated with this model whose status is NOT done.
    CreateTime string
    Timestamp when this model was created in Firebase ML.
    DisplayName string
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    Etag string
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    ModelHash string
    The model_hash will change if a new file is available for download.
    Name string
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    State Pulumi.GoogleNative.FirebaseML.V1Beta2.Outputs.ModelStateResponse
    State common to all model types. Includes publishing and validation information.
    Tags List<string>
    User defined tags which can be used to group/filter models during listing
    TfliteModel Pulumi.GoogleNative.FirebaseML.V1Beta2.Outputs.TfLiteModelResponse
    A TFLite Model
    UpdateTime string
    Timestamp when this model was updated in Firebase ML.
    ActiveOperations []OperationResponse
    Lists operation ids associated with this model whose status is NOT done.
    CreateTime string
    Timestamp when this model was created in Firebase ML.
    DisplayName string
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    Etag string
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    ModelHash string
    The model_hash will change if a new file is available for download.
    Name string
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    State ModelStateResponse
    State common to all model types. Includes publishing and validation information.
    Tags []string
    User defined tags which can be used to group/filter models during listing
    TfliteModel TfLiteModelResponse
    A TFLite Model
    UpdateTime string
    Timestamp when this model was updated in Firebase ML.
    activeOperations List<OperationResponse>
    Lists operation ids associated with this model whose status is NOT done.
    createTime String
    Timestamp when this model was created in Firebase ML.
    displayName String
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    etag String
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    modelHash String
    The model_hash will change if a new file is available for download.
    name String
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    state ModelStateResponse
    State common to all model types. Includes publishing and validation information.
    tags List<String>
    User defined tags which can be used to group/filter models during listing
    tfliteModel TfLiteModelResponse
    A TFLite Model
    updateTime String
    Timestamp when this model was updated in Firebase ML.
    activeOperations OperationResponse[]
    Lists operation ids associated with this model whose status is NOT done.
    createTime string
    Timestamp when this model was created in Firebase ML.
    displayName string
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    etag string
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    modelHash string
    The model_hash will change if a new file is available for download.
    name string
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    state ModelStateResponse
    State common to all model types. Includes publishing and validation information.
    tags string[]
    User defined tags which can be used to group/filter models during listing
    tfliteModel TfLiteModelResponse
    A TFLite Model
    updateTime string
    Timestamp when this model was updated in Firebase ML.
    active_operations Sequence[OperationResponse]
    Lists operation ids associated with this model whose status is NOT done.
    create_time str
    Timestamp when this model was created in Firebase ML.
    display_name str
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    etag str
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    model_hash str
    The model_hash will change if a new file is available for download.
    name str
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    state ModelStateResponse
    State common to all model types. Includes publishing and validation information.
    tags Sequence[str]
    User defined tags which can be used to group/filter models during listing
    tflite_model TfLiteModelResponse
    A TFLite Model
    update_time str
    Timestamp when this model was updated in Firebase ML.
    activeOperations List<Property Map>
    Lists operation ids associated with this model whose status is NOT done.
    createTime String
    Timestamp when this model was created in Firebase ML.
    displayName String
    The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
    etag String
    See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
    modelHash String
    The model_hash will change if a new file is available for download.
    name String
    The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
    state Property Map
    State common to all model types. Includes publishing and validation information.
    tags List<String>
    User defined tags which can be used to group/filter models during listing
    tfliteModel Property Map
    A TFLite Model
    updateTime String
    Timestamp when this model was updated in Firebase ML.

    Supporting Types

    ModelStateResponse

    Published bool
    Indicates if this model has been published.
    ValidationError Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    Published bool
    Indicates if this model has been published.
    ValidationError StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    published Boolean
    Indicates if this model has been published.
    validationError StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    published boolean
    Indicates if this model has been published.
    validationError StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    published bool
    Indicates if this model has been published.
    validation_error StatusResponse
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.
    published Boolean
    Indicates if this model has been published.
    validationError Property Map
    Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.

    OperationResponse

    Done bool
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    Error Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.StatusResponse
    The error result of the operation in case of failure or cancellation.
    Metadata Dictionary<string, string>
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    Name string
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    Response Dictionary<string, string>
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    Done bool
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    Error StatusResponse
    The error result of the operation in case of failure or cancellation.
    Metadata map[string]string
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    Name string
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    Response map[string]string
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    done Boolean
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    error StatusResponse
    The error result of the operation in case of failure or cancellation.
    metadata Map<String,String>
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    name String
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    response Map<String,String>
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    done boolean
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    error StatusResponse
    The error result of the operation in case of failure or cancellation.
    metadata {[key: string]: string}
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    name string
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    response {[key: string]: string}
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    done bool
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    error StatusResponse
    The error result of the operation in case of failure or cancellation.
    metadata Mapping[str, str]
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    name str
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    response Mapping[str, str]
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
    done Boolean
    If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    error Property Map
    The error result of the operation in case of failure or cancellation.
    metadata Map<String>
    Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    name String
    The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    response Map<String>
    The normal, successful response of the operation. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

    StatusResponse

    Code int
    The status code, which should be an enum value of google.rpc.Code.
    Details List<ImmutableDictionary<string, string>>
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    Message string
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    Code int
    The status code, which should be an enum value of google.rpc.Code.
    Details []map[string]string
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    Message string
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    code Integer
    The status code, which should be an enum value of google.rpc.Code.
    details List<Map<String,String>>
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    message String
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    code number
    The status code, which should be an enum value of google.rpc.Code.
    details {[key: string]: string}[]
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    message string
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    code int
    The status code, which should be an enum value of google.rpc.Code.
    details Sequence[Mapping[str, str]]
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    message str
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
    code Number
    The status code, which should be an enum value of google.rpc.Code.
    details List<Map<String>>
    A list of messages that carry the error details. There is a common set of message types for APIs to use.
    message String
    A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

    TfLiteModelResponse

    AutomlModel string
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    GcsTfliteUri string
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    SizeBytes string
    The size of the TFLite model
    AutomlModel string
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    GcsTfliteUri string
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    SizeBytes string
    The size of the TFLite model
    automlModel String
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcsTfliteUri String
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    sizeBytes String
    The size of the TFLite model
    automlModel string
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcsTfliteUri string
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    sizeBytes string
    The size of the TFLite model
    automl_model str
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcs_tflite_uri str
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    size_bytes str
    The size of the TFLite model
    automlModel String
    The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
    gcsTfliteUri String
    The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
    sizeBytes String
    The size of the TFLite model

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
    pulumi/pulumi-google-native