armnn.git -

Age	Commit message (Collapse)	Author
2021-05-06	IVGCVSW-5815 Generalise ConstCpuTensorHandle	James Conroy
	* Generalises ConstCpuTensorHandle and inherited classes by removing 'Cpu' from aliases. * New renamed classes: ConstTensorHandle, TensorHandle, ScopedTensorHandle, PassthroughTensorHandle, ConstPassthroughTensorHandle. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I1824e0e134202735fb77051f20a7252f161dfe16
2021-04-07	Fix graph copy memory spike	Finn Williams
	* Change layer storage of ConstTensors to std::shared_ptr<ConstCpuTensorHandle> * Change clone to share ConstTensor rather than copy * Remove uses of non-const GetTensor() call * Reduce scope of non-optimized network in ExeNet, so memory can be released after use Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: Ibb2c7309d12411d21405bd6024c76bcdf5404545
2021-01-25	IVGCVSW-5619 Add OptimizerOptions and NetworkProperties to ArmNN Delegate	Narumol Prangnawarat
	* Add OptimizerOptions, NetworkProperties, DebugCallbackFunction to DelegateOptions * Enable OptimizerOptions when the network is being optimized * Enable NetworkProperties when loading network * Enable DebugCallbackFunction * Add error message when loading network * Log warning instead of error when operator is not supported but could fallback to another backend * Improve uint16_t CompareData * Unit tests Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I353035afb442774bfeb1c62570a90755c2ceaf38
2020-04-10	IVGCVSW-4483 Remove boost::polymorphic_downcast	Jan Eilers
	* exchange boost::polymorphic_downcast with armnn::PolymorphicDowncast * remove unnecessary includes of boost::polymorphic_downcast Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Ie603fb82860fe05fee547dc78073230cc62b2e1f
2020-03-26	IVGCVSW-4597 Modify BF16 optimizer to Convert only inputs and weights of	Narumol Prangnawarat
	Convolution2d and FullyConnected layers * Add InsertConvertFp32ToBf16LayersBefore * Add ConvertWeight to ConvertFp32NetworkToBf16Impl for Conv2d and FullyConnected * Allow different input and output when input is BF16 and output is FP32 Conv2d and FullyConnected layers * Unit tests Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: Ic8f92ff28edcae08a72a3114a28f50c4619f919b
2020-03-20	IVGCVSW-4520 Implement BFloat16 Optimizer	Narumol Prangnawarat
	* Add ReduceFp32ToBf16 to OptimizerOptions * Add ConvertFp32NetworkToBf16 * Add utility functions to insert conversion layers * Add constant conversion BF16 <-> FP32 * Unit tests Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: Iaff77e20c721400b052cb37eb9ef6fe16d7abaff