ANeuralNetworksOperandType
#include <NeuralNetworks.h>
ANeuralNetworksOperandType describes the type of an operand.
Summary
This structure is used to describe both scalars and tensors.
A tensor operand type must have a specified rank (number of dimensions) but may have any of its dimensions unspecified.
A tensor operand type with all dimensions specified is "fully specified". Whenever possible (i.e., whenever the dimensions are known at model construction time), a tensor operand type should be (but is not required to be) fully specified, in order to enable the best possible performance.
If a tensor operand's type is not fully specified, the dimensions of the operand are deduced from the operand types and values of the operation for which that operand is an output.
In the following situations, a tensor operand type must be fully specified:
- The operand has a constant value, set by ANeuralNetworksModel_setOperandValue (with a non-nullptr buffer) or ANeuralNetworksModel_setOperandValueFromMemory.
- The operand is a model input or model output (see ANeuralNetworksModel_identifyInputsAndOutputs). A fully specified tensor operand type must either be provided to ANeuralNetworksModel_addOperand; or it must be provided to the corresponding ANeuralNetworksExecution_setInput, ANeuralNetworksExecution_setInputFromMemory, ANeuralNetworksExecution_setOutput, or ANeuralNetworksModel_setOperandValueFromMemory. EXCEPTION: If the input or output is optional and omitted (by passing nullptr for buffer to ANeuralNetworksExecution_setInput or ANeuralNetworksExecution_setOutput) then it need not have a fully specified tensor operand type.
A tensor operand type with some number of unspecified dimensions is represented by setting each unspecified dimension to 0.
Available since API level 27.
Public attributes |
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|---|---|
dimensionCount
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uint32_t
The number of dimensions (rank).
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dimensions
|
const uint32_t *
The dimensions of the tensor.
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scale
|
float
These two fields are only used for quantized tensors.
|
type
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int32_t
The data type, e.g ANEURALNETWORKS_INT8.
|
zeroPoint
|
int32_t
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Public attributes
dimensionCount
uint32_t ANeuralNetworksOperandType::dimensionCount
The number of dimensions (rank).
It should be 0 for scalars.
dimensions
const uint32_t * ANeuralNetworksOperandType::dimensions
The dimensions of the tensor.
It should be nullptr for scalars.
scale
float ANeuralNetworksOperandType::scale
These two fields are only used for quantized tensors.
They should be zero for scalars and non-fixed point tensors. The dequantized value of each entry is (value - zeroPoint) * scale.
type
int32_t ANeuralNetworksOperandType::type
The data type, e.g ANEURALNETWORKS_INT8.
zeroPoint
int32_t ANeuralNetworksOperandType::zeroPoint