Package | Description |
---|---|
org.bytedeco.tensorflowlite | |
org.bytedeco.tensorflowlite.global |
Modifier and Type | Method and Description |
---|---|
TfLiteIntArray |
TfLiteDimensionMetadata.array_indices() |
TfLiteIntArray |
TfLiteDimensionMetadata.array_segments() |
TfLiteIntArray |
TfLiteSparsity.block_map() |
TfLiteIntArray |
TfLiteIntArray.data(int i,
int setter) |
TfLiteIntArray |
TfLiteTensor.dims_signature()
Optional.
|
TfLiteIntArray |
TfLiteEvalTensor.dims()
A pointer to a structure representing the dimensionality interpretation
that the buffer should have.
|
TfLiteIntArray |
TfLiteTensor.dims()
A pointer to a structure representing the dimensionality interpretation
that the buffer should have.
|
TfLiteIntArray |
TfLiteDelegateParams.input_tensors() |
TfLiteIntArray |
TfLiteOpaqueDelegateParams.input_tensors() |
TfLiteIntArray |
TfLiteNode.inputs()
Inputs to this node expressed as indices into the simulator's tensors.
|
TfLiteIntArray |
TfLiteNode.intermediates()
intermediate tensors to this node expressed as indices into the
simulator's tensors.
|
TfLiteIntArray |
TfLiteDelegateParams.nodes_to_replace() |
TfLiteIntArray |
TfLiteOpaqueDelegateParams.nodes_to_replace() |
TfLiteIntArray |
TfLiteDelegateParams.output_tensors() |
TfLiteIntArray |
TfLiteOpaqueDelegateParams.output_tensors() |
TfLiteIntArray |
TfLiteNode.outputs()
Outputs to this node expressed as indices into the simulator's tensors.
|
TfLiteIntArray |
TfLiteIntArray.size(int setter) |
TfLiteIntArray |
TfLiteNode.temporaries()
Temporary tensors uses during the computations.
|
TfLiteIntArray |
TfLiteSparsity.traversal_order() |
TfLiteIntArray |
TfLiteAffineQuantization.zero_point() |
Modifier and Type | Method and Description |
---|---|
TfLiteDimensionMetadata |
TfLiteDimensionMetadata.array_indices(TfLiteIntArray setter) |
TfLiteDimensionMetadata |
TfLiteDimensionMetadata.array_segments(TfLiteIntArray setter) |
TfLiteSparsity |
TfLiteSparsity.block_map(TfLiteIntArray setter) |
int |
TfLiteContext.PreviewDelegatePartitioning_TfLiteContext_TfLiteIntArray_PointerPointer_IntPointer.call(TfLiteContext context,
TfLiteIntArray nodes_to_replace,
PointerPointer partition_params_array,
IntPointer num_partitions) |
int |
TfLiteContext.ReplaceNodeSubsetsWithDelegateKernels_TfLiteContext_TfLiteRegistration_TfLiteIntArray_TfLiteDelegate.call(TfLiteContext arg0,
TfLiteRegistration registration,
TfLiteIntArray nodes_to_replace,
TfLiteDelegate delegate) |
int |
TfLiteContext.ResizeTensor_TfLiteContext_TfLiteTensor_TfLiteIntArray.call(TfLiteContext arg0,
TfLiteTensor tensor,
TfLiteIntArray new_size) |
TfLiteTensor |
TfLiteTensor.dims_signature(TfLiteIntArray setter) |
TfLiteEvalTensor |
TfLiteEvalTensor.dims(TfLiteIntArray setter) |
TfLiteTensor |
TfLiteTensor.dims(TfLiteIntArray setter) |
TfLiteDelegateParams |
TfLiteDelegateParams.input_tensors(TfLiteIntArray setter) |
TfLiteOpaqueDelegateParams |
TfLiteOpaqueDelegateParams.input_tensors(TfLiteIntArray setter) |
TfLiteNode |
TfLiteNode.inputs(TfLiteIntArray setter) |
TfLiteNode |
TfLiteNode.intermediates(TfLiteIntArray setter) |
TfLiteDelegateParams |
TfLiteDelegateParams.nodes_to_replace(TfLiteIntArray setter) |
TfLiteOpaqueDelegateParams |
TfLiteOpaqueDelegateParams.nodes_to_replace(TfLiteIntArray setter) |
TfLiteDelegateParams |
TfLiteDelegateParams.output_tensors(TfLiteIntArray setter) |
TfLiteOpaqueDelegateParams |
TfLiteOpaqueDelegateParams.output_tensors(TfLiteIntArray setter) |
TfLiteNode |
TfLiteNode.outputs(TfLiteIntArray setter) |
TfLiteNode |
TfLiteNode.temporaries(TfLiteIntArray setter) |
TfLiteSparsity |
TfLiteSparsity.traversal_order(TfLiteIntArray setter) |
TfLiteAffineQuantization |
TfLiteAffineQuantization.zero_point(TfLiteIntArray setter) |
Modifier and Type | Method and Description |
---|---|
static TfLiteIntArray |
tensorflowlite.ConvertArrayToTfLiteIntArray(int ndims,
int[] dims) |
static TfLiteIntArray |
tensorflowlite.ConvertArrayToTfLiteIntArray(int ndims,
IntBuffer dims) |
static TfLiteIntArray |
tensorflowlite.ConvertArrayToTfLiteIntArray(int ndims,
IntPointer dims) |
static TfLiteIntArray |
tensorflowlite.ConvertVectorToTfLiteIntArray(int[] input) |
static TfLiteIntArray |
tensorflowlite.ConvertVectorToTfLiteIntArray(IntBuffer input) |
static TfLiteIntArray |
tensorflowlite.ConvertVectorToTfLiteIntArray(IntPointer input) |
static TfLiteIntArray |
tensorflowlite.TfLiteIntArrayCopy(TfLiteIntArray src)
Create a copy of an array passed as
src . |
static TfLiteIntArray |
tensorflowlite.TfLiteIntArrayCreate(int size)
Create a array of a given
size (uninitialized entries). |
Modifier and Type | Method and Description |
---|---|
static boolean |
tensorflowlite.EqualArrayAndTfLiteIntArray(TfLiteIntArray a,
int b_size,
int[] b) |
static boolean |
tensorflowlite.EqualArrayAndTfLiteIntArray(TfLiteIntArray a,
int b_size,
IntBuffer b) |
static boolean |
tensorflowlite.EqualArrayAndTfLiteIntArray(TfLiteIntArray a,
int b_size,
IntPointer b) |
static int |
tensorflowlite.PartitionGraphIntoIndependentNodeSubsets(GraphInfo info,
TfLiteIntArray nodes_to_partition,
NodeSubsetVector node_subsets,
boolean greedily) |
static int |
tensorflowlite.PartitionGraphIntoIndependentNodeSubsets(GraphInfo info,
TfLiteIntArray nodes_to_partition,
NodeSubsetVector node_subsets,
boolean greedily,
IntIntPairVector control_edges,
boolean disable_node_fusion) |
static TfLiteIntArray |
tensorflowlite.TfLiteIntArrayCopy(TfLiteIntArray src)
Create a copy of an array passed as
src . |
static int |
tensorflowlite.TfLiteIntArrayEqual(TfLiteIntArray a,
TfLiteIntArray b)
Check if two intarrays are equal.
|
static int |
tensorflowlite.TfLiteIntArrayEqualsArray(TfLiteIntArray a,
int b_size,
int[] b_data) |
static int |
tensorflowlite.TfLiteIntArrayEqualsArray(TfLiteIntArray a,
int b_size,
IntBuffer b_data) |
static int |
tensorflowlite.TfLiteIntArrayEqualsArray(TfLiteIntArray a,
int b_size,
IntPointer b_data)
Check if an intarray equals an array.
|
static void |
tensorflowlite.TfLiteIntArrayFree(TfLiteIntArray a)
Free memory of array
a . |
static void |
tensorflowlite.TfLiteTensorReset(int type,
BytePointer name,
TfLiteIntArray dims,
TfLiteQuantizationParams quantization,
byte[] buffer,
long size,
int allocation_type,
Pointer allocation,
boolean is_variable,
TfLiteTensor tensor) |
static void |
tensorflowlite.TfLiteTensorReset(int type,
BytePointer name,
TfLiteIntArray dims,
TfLiteQuantizationParams quantization,
ByteBuffer buffer,
long size,
int allocation_type,
Pointer allocation,
boolean is_variable,
TfLiteTensor tensor) |
static void |
tensorflowlite.TfLiteTensorReset(int type,
BytePointer name,
TfLiteIntArray dims,
TfLiteQuantizationParams quantization,
BytePointer buffer,
long size,
int allocation_type,
Pointer allocation,
boolean is_variable,
TfLiteTensor tensor)
Set all of a tensor's fields (and free any previously allocated data).
|
static void |
tensorflowlite.TfLiteTensorReset(int type,
String name,
TfLiteIntArray dims,
TfLiteQuantizationParams quantization,
byte[] buffer,
long size,
int allocation_type,
Pointer allocation,
boolean is_variable,
TfLiteTensor tensor) |
static void |
tensorflowlite.TfLiteTensorReset(int type,
String name,
TfLiteIntArray dims,
TfLiteQuantizationParams quantization,
ByteBuffer buffer,
long size,
int allocation_type,
Pointer allocation,
boolean is_variable,
TfLiteTensor tensor) |
static void |
tensorflowlite.TfLiteTensorReset(int type,
String name,
TfLiteIntArray dims,
TfLiteQuantizationParams quantization,
BytePointer buffer,
long size,
int allocation_type,
Pointer allocation,
boolean is_variable,
TfLiteTensor tensor) |
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