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2024-02-28IVGCVSW-8172 Add macOS support to build tool setupTracy Narine
* Updates build rules for platform * Failing unit tests excluded (dynamic backends, profiling) * install-packages.sh generates manual setup information Signed-off-by: Tracy Narine <tracy.narine@arm.com> Change-Id: I2d3d434aa615a8796c0cb94cd5b9c35a5acfd148
2024-02-13MLCE-1165 Model failing to load when pad is folded into Conv2dTracy Narine
* Skipping the optimization which folds pad and conv2d together for a specific case: 1x1 filter and padding size >= filter size Signed-off-by: Tracy Narine <tracy.narine@arm.com> Change-Id: I46944e9f736df1ff60469b2d2852e1bba01ab8cd
2023-09-28IVGCVSW-7504 Create a backend specific optimization to fuse ↵Tracy Narine
ADD+MUL+Add+(Activation) in CpuAcc * Adding CpuAcc backend optimization to fuse add+mul+add into one layer * Tests added/enhanced * Also added optional extended parameter to Graph::Print() and throw macros that could be used in place of assert Signed-off-by: Tracy Narine <tracy.narine@arm.com> Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I5f8d094b969a130d8c2c7b4da07426313a9fea76
2023-08-31IVGCVSW-7525 Add broadcast_to operatorIdriss Chaouch
Signed-off-by: Idriss Chaouch <idriss.chaouch@arm.com> Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I94ec5f9120b2d736fdf98d00ec5137a4efd739b8
2023-08-04IVGCVSW-7635 Remove deprecated code due to be removed in 23.08 (WorkloadFactory)Cian McGriskin
* WorkloadFactory.hpp CreateXXXWorkload replaced with CreateWorkload accepting LayerType for ABI stability. * These effect ref neon cl and mock backends * Also removed small deprecation comment in Optimization Views * Fixed ABI Version Issue Signed-off-by: Cian McGriskin <cian.mcgriskin@arm.com> Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: Id37af2f882fc9d12b8c779de6b714013af866028
2023-08-04IVGCVSW-7635 Remove deprecated code due to be removed in 23.08 (ILayerSupport)Francis Murtagh
* ILayerSupport interface - removed unstable virtual functions. * User instead uses IsLayerSupported accepting LayerType enum argument. * Backend developers should implement the ILayerSupport::IsLayerSupported method accepting LayerType as a switch statement with case being LayerType and each case calling their implementation of IsXXXSupported() Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: Iaaead8320bb1b2f1bdab6b5be2e1e69d0eb482d5
2023-08-03IVGCVSW-7635 Remove deprecated code due to be removed in 23.08 (SubgraphView)Francis Murtagh
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: I6686ad0a16ef763dbdc771c7ef792ae2890e0ab2
2023-08-02IVGCVSW-7880 Add check for FP16 backend supportRyan OShea
* Check if preferred backends have FP16 support before enable fp16-turbo-mode * Unit tests * Replaced global gpuAccCapabilities with getter method construction * Replaced deprecated function call in SL shim Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Signed-off-by: Ryan OShea <ryan.oshea3@arm.com> Change-Id: If29b62b330ca8987de8acf6408db11daf25ca0b5
2023-08-02Fixing ambiguous method name in BackendHelper.Colm Donelan
!android-nn-driver:10035 * Two of the 4 HasCapability methods in BackendHelper were checking the value of the capability not just the existence of the capability. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I63bc1671dfb088a947de70a21c86d2502f92f008
2023-07-12IVGCVSW-7783 Add check for FP16 infinity valuesNarumol Prangnawarat
* Check to round to closest finite FP16 value when convert FP32 to FP16 * Unit tests to be added Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: If3b982ff3030379ac33c47d4be13edb0bda679f6
2023-07-03IVGCVSW-7828 Add an Optional TensorInfo to InputSlotMike Kelly
* Updated calls to use the new function From: GetInputSlot(n).GetConnection()->GetTensorInfo(); To: GetInputSlot(n).GetTensorInfo(); * Added UnitTests Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I43184cc05e4472011b9347aaa820eb8deb1cd4a0
2023-05-09IVGCVSW-5846 Remove TODO statements from Armnn CodeDavid Monahan
* Removed all instances of TODO statements from comments * Removed statements are noted as part of IVGCVSW-5846 * Removed ProtoxtFixture.cpp from the Onnx Parser tests as it's not used Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: Ia0a15f8a0d4123c8831638634eaa0d1018c40e2c
2023-04-18GitHub #719 Set quantization parameter scale to 1.0, instead of 0.0.Teresa Charlin
* Arm NN does not account for int8 or uint8 not quantized types, Tensorflow does. Not quantized int8 and uint8 is the same as quantized int8 and uint8 with scale = 1.0 and offset= 0 Default offset/zero_point was already 0, this review sets the default scale to 1.0. Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ibc3eecc281de516c2cc706e17bde01c64ff9556e
2023-04-12IVGCVSW-7197 Implement Pimpl Idiom for OptimizerOptionsJohn Mcloughlin
Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com> Change-Id: Id4bdc31e3e6f18ccaef232c29a2d2825c915b21c
2023-04-05IVGCVSW-7672 Arm NN build failures in MainMike Kelly
* Added required includes if ARMNN_LEAK_CHECKING_ENABLED. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I18bde66e8a1e19690747d7e05d10dbe0cedb1c1b
2023-04-03IVGCVSW-3808 Deprecation notices for old ElementwiseBinary layersMike Kelly
* Added Deprecation notices for old ElementwiseBinary layers. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I5bd0f186aaed675885d667f47e1e210ee9ec84f8
2023-03-31Revert "IVGCVSW-3808 Deprecation notices for old ElementwiseBinary layers"Mike Kelly
This reverts commit 52e90bf59ecbe90d33368d8fc1fd120f07658aaf. Change-Id: I5a0d244593d8e760ee7ba0c9d38c02377e1bdc24 Signed-off-by: Mike Kelly <mike.kelly@arm.com>
2023-03-30IVGCVSW-3808 Deprecation notices for old ElementwiseBinary layersMike Kelly
* Added Deprecation notices for old ElementwiseBinary layers. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Iebbbaff38cc9c347b25eb2f9054c914a4f931c68
2023-03-14IVGCVSW-3808 Add ElementwiseBinaryLayerMike Kelly
!android-nn-driver:9329 * Added ElementwiseBinaryLayer that can represent all ElementwiseBinary operations including Add, Div, Sub, Maximum, Mul and Minimum. * Updated Delegate to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated Deserializer to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add layer. * Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add, Div, Sub, Maximum, Mul and Minimum layers. * Updated CL and Neon tests to use ElementwiseBinaryLayer. * Updated CL and Neon Backend Specific Optimizations to accept ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum layers. Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75
2023-02-07IVGCVSW-7155: Fix Slot replacement during UpdateSubgraphViewSlotPointersFrancis Murtagh
* Only update boundary slots on actual subgraphview * Previously all slots from replacement subgraph added even if internal Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Signed-off-by: Matthew Bentham <matthew.bentham@arm.com> Change-Id: Ic9ef9fc41ad248838d1c019dd0368378c3119648
2023-01-23IVGCVSW-7453 Comparison does not Calculate its shape properlyMike Kelly
* Fixed issue where ComparisonLayer wasn't calculating its output shape correctly. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I37fe437b598bde694e519d6792182924bd0197cd
2023-01-18Github #700: Fix order of optimizations so dequantization works with foldingFrancis Murtagh
* Folding of pad into conv2d expected a Constant layer not Dequantisation * Fusing Dequantisation with Constant to a Constant ensures that. * Group Constant layer optimizations together where possible. * Add unit test. Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: Id0393313bf097595f2f13738b7513e427116ea4a
2023-01-12IVGCVSW-7418 Allow working copy SubgraphView to get Original SlotsFrancis Murtagh
* API to remove need for workaround so backend users can get slots * OutputSlots outside the SubgraphView needed to obtain TensorInfo * Fix a few Copyright headers * Add shared_ptr back to original subgraph view using std::enable_shared_from_this Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I033a00d6fc4020619d406ac06a156b7e380a426a
2023-01-09IVGCVSW-7418: Can't call SubstituteSubgraph on working copy of subgraph in ↵Matthew Bentham
Optimize * Add unit test for WorkingCopy of SubgraphView with Inputs and Outputs * Added check to ensure InputSlot is connected before trying to disconnect Signed-off-by: Matthew Bentham <matthew.bentham@arm.com> Change-Id: I261d55e38c94687a9de64cdee726a7c7442ed537
2022-12-12IVGCVSW-7209 Remove deprecated code due to be removed in 23.02Mike Kelly
* Removed weights and bias from Convolution, DepthwiseConv & FullyConnected layers * Removed the weight and bias ConstTensorHandles from the QueueDescriptors * Updated Workloads to take tensors from WorkloadInfo rather than the QueueDescriptors * Removed unused RedirectMembersToConstantInputs optimization and tests. Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I9ffcdc4a1c0dff725539dd69fc435b700bd98a56
2022-12-07Fix some memory overruns / undefined behaviour in ShapeInferenceTestsMatthew Bentham
In several cases the address of a single float value on the stack was passed as a pointer to the constructor of ScopedTensor (which needs a backing-store of size equal to GetNumBytes()). Replace by using a std::vector to explicitly create and initialize the right number of elements. Signed-off-by: Matthew Bentham <matthew.bentham@arm.com> Change-Id: I8a1f4bf169bd89983f2d68047173ec901a21e1fb
2022-11-16IVGCVSW-7214 Disable BF16-Turbo-Mode and remove conversion layersRyan OShea
- Remove Bf16ToFp32 Conversion Layer - Remove Fp32ToBf16 Conversion Layer - Remove B16 Conversion tests * Throw exception if m_ReduceFp32ToBf16 optimzer option is set to true * Provide comments to enable fast math in order to use bf16 * Update docs to inform users to enable fast math for bf16 Execute Network Changes * Require bf16_turbo_mode to also have fast_math_enabled set to true - Remove setting m_ReduceFp32ToBf16 optimizer option Signed-off-by: Ryan OShea <ryan.oshea3@arm.com> Change-Id: Ibaa6da9d29c96a1ce32ff5196b0847fde9f04a1c
2022-09-15Make SubgraphViewSelector give deterministic resultsRob Hughes
The subgraphs produced by SubgraphViewSelector were not produced in a deterministic order, as the order was determined by the pointer values of some objects, which are not guaranteed to be the same for each execution. This patch adds a post-processing sorting step based on the GUIDs of the layers and the slot indices so that the results will be the same for each execution. This makes debugging the optimised graph much easier as subsequent stages can also be deterministic. It also simplifies some unit tests. Change-Id: I64f552706b7fb1bf82c19d85a448e054277917bc Signed-off-by: Rob Hughes <robert.hughes@arm.com>
2022-09-07IVGCVSW-7209 Remove deprecated code due to be removed in 22.11Teresa Charlin
* Files deleted when Stabilizing the API Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I0ae73ee36968fa880761c10358bfa827be5fe054
2022-09-06IVGCVSW-7155 SubgraphView::SubstituteSubgraph IOutputSlots incorrectly ↵Cathal Corbett
overridden Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: If594e291951a5f9ed1957a19a971c498f6e7843f
2022-09-06IVGCVSW-7006 Remove deprecated code due to be removed in 22.08Teresa Charlin
* AddConv and AddDWConv with weights and bias * ResizeBilinearDescriptor * b,blacklist option in accuracy tool !android-nn-driver:8172 Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ibbc04fd18be7f938b11590bf67cd7af103cb4d99
2022-08-29IVGCVSW-7106 Additional fix models with multiple input and output tensors.Colm Donelan
* The previous fix for IVGCVSW-7106 introduced a problem around operators with multiple inputs and outputs: addSeparator was being applied to all tensors in the list not just the last one. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I0325d9abcb7fb512f834c61686c698bbfc29a3be
2022-08-29IVGCVSW-7106 Incorrect Json format for some networks.Colm Donelan
* ProfilingDetails assumed that every workload description included both tensors and parameters. This is not always the case. * Modify ProfilingDetails::AddDetailsToString to check the next element to be printed before deciding to add a separator and new line. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I2577b0e8a149d0a172ee12975e18b78238d8256e
2022-08-05IVGCVSW-7149 FoldPadIntoQuantizedAvgPoolCpuRefTest test failing while ↵Cathal Corbett
running Arm NN Unittest Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: I567452000287babad345e61ea85ea84f362f48e0
2022-08-05GitHub #667: Neon fold padding into average pool 2D quantization bug fix.Cathal Corbett
* Originated from a GitHub issue: https://github.com/ARM-software/armnn/issues/667 * Initially, Arm NN supports the pool 2D operation because there is no padding on the pool2d. Neon failure occurs when padding is followed by average pool 2D due to folding optimization. * Here we prevent the folding optimization from happening for the above special case and add it in as a backend specific optimization. Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: Ia0fd90c3a6b4b9d29c81106f154617d2e893e26b
2022-07-27IVGCVSW-6978: RedirectMembersToConstantInputs does not work with ↵Francis Murtagh
Fp32NetworkToBf16Converter * Fuse FP32ToBF16Layers with Constant Layer so Conv2d/FullyConnected can have their weights redirected. * If BF16 Unsupported in Conv2d || FullyConnected revert fused Constant Layer to FP32 Change-Id: If523c708a822659d64597d9ae39cca1c2f84b76f Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
2022-07-27IVGCVSW-6896 Fix pre-import when using sync execute.Colm Donelan
* Refactor backend capability checks in LoadedNetwork. * ImportInputs should check the number of tensors does not exceed the number of inputs. * In EnqueueWorkload the check for for the count of input tensors was ignoring pre-imported inputs. * Added checks to verify ImportInputs/ImportOutputs worked as expected in EndToEndTestImpl. * Improve documentation on ImportInputs/ImportOutputs in IRuntime.hpp. * Disabled import tests in CL and Neon EndToEndTests that cannot work. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: Iae4b2644a1c9f01ee72bce1afb211661cc9ae2e3
2022-07-08IVGCVSW-7034 Modified SubgraphView returned by GetWorkingCopy()Francis Murtagh
* Add virtual GetSlotIndex to IInputSlot * Fix logic in GetWorkingCopy to use index of slots; so as not to add slots to cloned subgraphView if not in original subgraphView * Add test to cover cases when not all inputSlots to subgraphView layer are part of the original subgraphView * Mark SubgraphView::GetWorkingCopy() as const Change-Id: I1d540f84c57f97f6c834ec06ca13393ffa55d379
2022-06-29IVGCVSW-6962 Adding Const layer in the graph immediately after InputTeresa Charlin
instead of immediately before output Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I2d89a1efdabfdb4be24a8998a03fe1f502d26183
2022-06-27IVGCVSW-6981 Remove deprecated code 22.05 [Post Release]Nikhil Raj
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I9ccaefbe28ea572e9e2b4a2168574804667f7460
2022-06-22Revert "Revert "IVGCVSW-6873 Import inputs but don't export outputs fails.""Francis Murtagh
This reverts commit a0f8b15d4ddb5075f380003ff31b271d389d3b66. Reason for revert: <Test ClDmaBufInternalTests review > Change-Id: Ibc4a77fa008643849da7330391942e4c87b941e2
2022-06-21Revert "IVGCVSW-6873 Import inputs but don't export outputs fails."James Conroy
This reverts commit 03bf98a8bc51ad20eef4b9ca5fbf6ce15e063721. Reason for revert: Caused failures in tests located in internal repo. Change-Id: If35cb0ede349b270e4e7827324382e09455d8cfa
2022-06-20IVGCVSW-6873 Import inputs but don't export outputs fails.Colm Donelan
Only one bool is used to indicate whether inputs should be imported. However, its possible for the user to want to import inputs but not export outputs. In addition it's possible for a user to enabled import during optimize but then pass a memory source that does not require import. * Add m_ExportEnabled to INetwork.hpp. * Modify Network::dNetwork to consider both m_ImportEnabled and m_ExportEnabled. * Add ValidateSourcesMatchOptimizedNetwork to LoadedNetwork to validate import options between optimize and network load. * Update the TfLite delegate consider exportEnabled flag in the optimizer. !armnn-internal-tests:425350 Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I776eab81595898e43f91ab40306962eae61329f4
2022-05-24IVGCVSW-6967 Add Optimizer Test for FullyConnected in Fp32ToBf16experimental/serializationIssueKeith Davis
* Test already existed but bias was not enabled so yielded false positive * Updated Conv2d and FC to have const layers as inputs Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: Id4193adef2ac67b3a4681345e4dc01414cbbbad7
2022-05-23IVGCVSW-6123 ConstTensorsAsInputs: Conv2dKeith Davis
* Use new INetwork::AddConvolution2dLayer instead of deprecated version * Remove duplicated test in SerlializerTests * Fix some cosmetics Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I3407815bfdc1cdc01ca0a667b8e4d80d8621783f
2022-05-19IVGCVSW-6145 ConstTensorsAsInput: Optimizer Fix - GetConstantTensorsByRefFrancis Murtagh
* Add functionality to check for ConstantTensorsAsInputs to GetConstantTensorsByRef * Reorder optimizations so RedirectMembersToConstantInputs occurs after Conversion of Constants * Ensure graph is in topological order after loading in OptimizedNet * Fixed test to check release of m_LayerOutputs. Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I7cff50798d7217e8ea0d2f9b153eabd10174a566
2022-05-18IVGCVSW-6147 ConstTensorsAsInput: Optimizer - FusePermuteIntoConstLayerCathal Corbett
* No trailing permute layer after a constant layer * Unit test for optimization Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: I0d098f5af41d2c55df7cef1ccfb848093320ddc1
2022-05-18IVGCVSW-6455 Support Const + Dequantize layer and optimize it.Teresa Charlin
* Support Float16 as input to Dequantize layer * Add Optimization to substitute Const+Dequantize layers with Const layer Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I58bb7e3871ca480c7b6fca93c4efb2de84e09e64 Signed-off-by: David <david.monahan@arm.com>
2022-05-17IVGCVSW-6126 ConstTensorsAsInput: Conv2d - BackendsCathal Corbett
!android-nn-driver:7477 Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: Ibf633ccccc385bd980934ff829407d21981323ef
2022-05-16IVGCVSW-6124 ConstTensorsAsInput: Conv2d - FrontEndKeith Davis
* Update Front-end and Tools. * Updated Serializer, Deserializer and unit tests to reflect this. * Updated TfLiteDelegate, TfLiteParser and OnnxParser. * Updated Ref. * Fixed resulting Neon / CL tests * Unified optimizers for conv2d ops * Optimizer Fix - Fp32ToBf16 * Partial implementation for ACL backends to fix VTS failures !android-nn-driver:7477 Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I5fb18877f7ee32643e15a9818945356274bb401b
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