An options class for controlling runtime interpreter behavior.
Public Constructors
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Options()
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Public Methods
| Interpreter.Options | |
| Interpreter.Options |
setAllowBufferHandleOutput(boolean allow)
Advanced: Set if buffer handle output is allowed.
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| Interpreter.Options |
setAllowFp16PrecisionForFp32(boolean allow)
This method was deprecated
in API level .
Prefer using
ERROR(/org.tensorflow.lite.nnapi.NnApiDelegate.Options#setAllowFp16(boolean enable)).
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| Interpreter.Options |
setCancellable(boolean allow)
Advanced: Set if the interpreter is able to be cancelled.
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| Interpreter.Options |
setNumThreads(int numThreads)
Sets the number of threads to be used for ops that support multi-threading.
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| Interpreter.Options |
setUseNNAPI(boolean useNNAPI)
Sets whether to use NN API (if available) for op execution.
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| Interpreter.Options |
setUseXNNPACK(boolean useXNNPACK)
Experimental: Enable an optimized set of floating point CPU kernels (provided by XNNPACK).
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Inherited Methods
Public Constructors
public Options ()
Public Methods
public Interpreter.Options addDelegate (Delegate delegate)
Adds a Delegate to be applied during interpreter creation.
WARNING: This is an experimental interface that is subject to change.
public Interpreter.Options setAllowBufferHandleOutput (boolean allow)
Advanced: Set if buffer handle output is allowed.
When a Delegate supports hardware acceleration, the interpreter will make the data
of output tensors available in the CPU-allocated tensor buffers by default. If the client can
consume the buffer handle directly (e.g. reading output from OpenGL texture), it can set this
flag to false, avoiding the copy of data to the CPU buffer. The delegate documentation should
indicate whether this is supported and how it can be used.
WARNING: This is an experimental interface that is subject to change.
public Interpreter.Options setAllowFp16PrecisionForFp32 (boolean allow)
This method was deprecated
in API level .
Prefer using ERROR(/org.tensorflow.lite.nnapi.NnApiDelegate.Options#setAllowFp16(boolean enable)).
Sets whether to allow float16 precision for FP32 calculation when possible. Defaults to false (disallow).
public Interpreter.Options setCancellable (boolean allow)
Advanced: Set if the interpreter is able to be cancelled.
public Interpreter.Options setNumThreads (int numThreads)
Sets the number of threads to be used for ops that support multi-threading. Defaults to a platform-dependent value.
public Interpreter.Options setUseNNAPI (boolean useNNAPI)
Sets whether to use NN API (if available) for op execution. Defaults to false (disabled).
public Interpreter.Options setUseXNNPACK (boolean useXNNPACK)
Experimental: Enable an optimized set of floating point CPU kernels (provided by XNNPACK).
Enabling this flag will enable use of a new, highly optimized set of CPU kernels provided via the XNNPACK delegate. Currently, this is restricted to a subset of floating point operations. Eventually, we plan to enable this by default, as it can provide significant peformance benefits for many classes of floating point models. See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/delegates/xnnpack/README.md for more details.
Things to keep in mind when enabling this flag:
- Startup time and resize time may increase.
- Baseline memory consumption may increase.
- May be ignored if another delegate (eg NNAPI) have been applied.
- Quantized models will not see any benefit.
WARNING: This is an experimental interface that is subject to change.