InferenceOutput
class InferenceOutput
| kotlin.Any | |
| ↳ | android.adservices.ondevicepersonalization.InferenceOutput |
The result returned by ModelManager.run.
Summary
| Nested classes | |
|---|---|
| A builder for | |
| Public methods | |
|---|---|
| Boolean | Indicates whether some other object is "equal to" this one. |
| ByteArray | getData()A byte array that holds input data. |
| MutableMap<Int!, Any!> | Note: use |
| Int | hashCode() |
Public methods
equals
fun equals(other: Any?): Boolean
Indicates whether some other object is "equal to" this one.
The equals method implements an equivalence relation on non-null object references:
- It is reflexive: for any non-null reference value
x,x.equals(x)should returntrue. - It is symmetric: for any non-null reference values
xandy,x.equals(y)should returntrueif and only ify.equals(x)returnstrue. - It is transitive: for any non-null reference values
x,y, andz, ifx.equals(y)returnstrueandy.equals(z)returnstrue, thenx.equals(z)should returntrue. - It is consistent: for any non-null reference values
xandy, multiple invocations ofx.equals(y)consistently returntrueor consistently returnfalse, provided no information used inequalscomparisons on the objects is modified. - For any non-null reference value
x,x.equals(null)should returnfalse.
An equivalence relation partitions the elements it operates on into equivalence classes; all the members of an equivalence class are equal to each other. Members of an equivalence class are substitutable for each other, at least for some purposes.
| Parameters | |
|---|---|
obj | the reference object with which to compare. |
o | This value may be null. |
| Return | |
|---|---|
Boolean | true if this object is the same as the obj argument; false otherwise. |
getData
fun getData(): ByteArray
A byte array that holds input data. The inputs should be in the same order as inputs of the model.
For LiteRT, this field is a serialized Map that is mapped to outputs of runForMultipleInputsOutputs: https://www.tensorflow.org/lite/api_docs/java/org/tensorflow/lite/InterpreterApi#parameters_9
For ExecuTorch model, this field is a serialized EValue array.
| Return | |
|---|---|
ByteArray | This value cannot be null. |
getDataOutputs
fun getDataOutputs(): MutableMap<Int!, Any!>
Note: use InferenceOutput.getData() instead.
A map mapping output indices to multidimensional arrays of output.
For TFLite, this field is mapped to outputs of runForMultipleInputsOutputs: https://www.tensorflow.org/lite/api_docs/java/org/tensorflow/lite/InterpreterApi#parameters_9
| Return | |
|---|---|
MutableMap<Int!, Any!> | This value cannot be null. |