Package | Description |
---|---|
org.bytedeco.tensorflowlite | |
org.bytedeco.tensorflowlite.global |
Modifier and Type | Method and Description |
---|---|
TfLiteCustomAllocation |
TfLiteCustomAllocation.bytes(long setter) |
TfLiteCustomAllocation |
TfLiteCustomAllocation.data(Pointer setter) |
TfLiteCustomAllocation |
TfLiteCustomAllocation.getPointer(long i) |
TfLiteCustomAllocation |
TfLiteCustomAllocation.position(long position) |
Modifier and Type | Method and Description |
---|---|
int |
SignatureRunner.SetCustomAllocationForInputTensor(BytePointer input_name,
TfLiteCustomAllocation allocation) |
int |
SignatureRunner.SetCustomAllocationForInputTensor(BytePointer input_name,
TfLiteCustomAllocation allocation,
long flags)
\brief Assigns (or reassigns) a custom memory allocation for the given
tensor name.
|
int |
SignatureRunner.SetCustomAllocationForInputTensor(String input_name,
TfLiteCustomAllocation allocation) |
int |
SignatureRunner.SetCustomAllocationForInputTensor(String input_name,
TfLiteCustomAllocation allocation,
long flags) |
int |
SignatureRunner.SetCustomAllocationForOutputTensor(BytePointer output_name,
TfLiteCustomAllocation allocation) |
int |
SignatureRunner.SetCustomAllocationForOutputTensor(BytePointer output_name,
TfLiteCustomAllocation allocation,
long flags)
\brief Assigns (or reassigns) a custom memory allocation for the given
tensor name.
|
int |
SignatureRunner.SetCustomAllocationForOutputTensor(String output_name,
TfLiteCustomAllocation allocation) |
int |
SignatureRunner.SetCustomAllocationForOutputTensor(String output_name,
TfLiteCustomAllocation allocation,
long flags) |
int |
Subgraph.SetCustomAllocationForTensor(int tensor_index,
TfLiteCustomAllocation allocation) |
int |
Interpreter.SetCustomAllocationForTensor(int tensor_index,
TfLiteCustomAllocation allocation) |
int |
Subgraph.SetCustomAllocationForTensor(int tensor_index,
TfLiteCustomAllocation allocation,
long flags) |
int |
Interpreter.SetCustomAllocationForTensor(int tensor_index,
TfLiteCustomAllocation allocation,
long flags)
\brief Assigns (or reassigns) a custom memory allocation for the given
tensor.
|
Modifier and Type | Method and Description |
---|---|
static int |
tensorflowlite.TfLiteInterpreterSetCustomAllocationForTensor(TfLiteInterpreter interpreter,
int tensor_index,
TfLiteCustomAllocation allocation,
long flags)
Assigns (or reassigns) a custom memory allocation for the given
tensor.
|
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