Specifies whether {@link ANEURALNETWORKS_TENSOR_FLOAT32} is allowed to be
calculated with range and/or precision as low as that of the IEEE 754 16-bit
floating-point format. By default, {@link ANEURALNETWORKS_TENSOR_FLOAT32}
must be calculated using at least the range and precision of the IEEE 754
32-bit floating-point format.
@param model The model to be modified.
@param allow 'true' indicates {@link ANEURALNETWORKS_TENSOR_FLOAT32} may be
calculated with range and/or precision as low as that of the
IEEE 754 16-bit floating point format. 'false' indicates
{@link ANEURALNETWORKS_TENSOR_FLOAT32} must be calculated using
at least the range and precision of the IEEE 754 32-bit floating
point format.
Attempting to modify a model once {@link ANeuralNetworksModel_finish} has been
called will return an error.
Available since API level 28.
See {@link ANeuralNetworksModel} for information on multithreaded usage.
Specifies whether {@link ANEURALNETWORKS_TENSOR_FLOAT32} is allowed to be calculated with range and/or precision as low as that of the IEEE 754 16-bit floating-point format. By default, {@link ANEURALNETWORKS_TENSOR_FLOAT32} must be calculated using at least the range and precision of the IEEE 754 32-bit floating-point format.
@param model The model to be modified. @param allow 'true' indicates {@link ANEURALNETWORKS_TENSOR_FLOAT32} may be calculated with range and/or precision as low as that of the IEEE 754 16-bit floating point format. 'false' indicates {@link ANEURALNETWORKS_TENSOR_FLOAT32} must be calculated using at least the range and precision of the IEEE 754 32-bit floating point format.
Attempting to modify a model once {@link ANeuralNetworksModel_finish} has been called will return an error.
Available since API level 28.
See {@link ANeuralNetworksModel} for information on multithreaded usage.