aboutsummaryrefslogtreecommitdiff
path: root/src/backends/aclCommon
AgeCommit message (Collapse)Author
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
2023-01-24IVGCVSW-7455 Workaround to allow CLBatchMatMul to parse some 4D modelsMike Kelly
* Added ability to reduce dimension sizes when calling BuildArmComputeTensorInfo or BuildArmComputeTensorShapes, this will attempt to remove leading 1s in order to squeeze the number of dimensions but retain the size. * Changed ClBatchMatMulWorkload to attempt to squeeze the number of dimensions to 3 as the CL Gemm Kernel can only support up to 3 dimensions. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I6b3d0886c5b97fdb686838fc3dc292833ddc4643
2023-01-16IVGCVSW-7435 Making optional some CL code in Acl Common.Colm Donelan
* Some code was moved to aclcommon to facilitate GpuFsa. It causes build problems when ACL is build without CL support. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: Ia49d1fb7e69aaa8a694f402968e9ae689c2a874c
2023-01-11Move tuning and IClTensorHandle code from cl to aclCommon backend.Cathal Corbett
* Required to enable easier future merging and rebase into experimental/GpuFsa as part of IVGCVSW-7380. Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: I066dcf00523ff430a0908666e452548ab848bd86
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
2022-12-07IVGCVSW-6853 Rewrite BuildArmComputePermutationVector()Teresa Charlin
* Some pemutation vectors were not converted correctly. * Add Transpose end to end test. * Comments added with an example to clarify the differences betweeen Transpose and Permute Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I6c0954ca6ce00ef5f2a6f3625abe6f4fd27b5cdf
2022-12-01IVGCVSW-7272 Add Exception for handling Fp16 infinity valuesKevin May
* Float values which cannot fit in Half are converted as inf/-inf * Add an InvalidArgumentException for infinity displaying the value and data type Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: Iaa5671374364c531e29e37fdfe40732b4fdbcfcb
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
2022-08-05GitHub #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
2022-05-16IVGCVSW-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
2022-05-13IVGCVSW-6260 ConstTensorsAsInput: Fully Connected Cl and Neon support.Cathal Corbett
* IVGCVSW-6940 ConstTensorsAsInput: DepthwiseConvolution2d - Complete Neon and Cl Bug Fix * Bug fix to enable Cl and Neon Backend Compatibility ConstantTensorsAsInputs * Updated Cl and Neon FullyConnected workloads to handle constant weights and bias as inputs rather than reading from member variables. * Prevent non const weights and biases passing CL and NEON validate for Depthwise Convolution. Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: I0f505ff5998a183152f843d0f6cc74327ba920e7
2022-05-12IVGCVSW-6940 ConstTensorsAsInput: DepthwiseConvolution2d - Complete ACLCathal Corbett
* Added backend specific optimization & test for CpuAcc and GpuAcc: PermuteDepthwiseConv2dWeights Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: I600476b2e9c557a39818a574c1091c9d650b21b1
2022-05-05IVGCVSW-6127 ConstTensorsAsInput: DepthwiseConvolution2dCathal Corbett
!android-nn-driver:7418 * Update Front-end and Tools. * Updated Serializer, Deserializer and unit tests to reflect this. * Updated TfLiteDelegate, TfLiteParser and OnnxParser. * Change NNDriver to new API. * Updated Ref. * Neon and Cl backend partially completed (Backend.cpp files). * Added dynamic or constant input EndToEnd tests. * Added ConstantTensorAsInputMemeberVariableRedirect Optimization. Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: Ib18b6c10a093042e165e25237dc04a4c67ba82da
2022-04-13IVGCVSW-6174 Add Cl Pooling3d WorkloadRyan OShea
* Add IsSupported for Pooling3d * Add CreateWorkload case for Pooling3d * Create new ClPooling3dWorkload header and source files * Add Pooling3d workload to ClWorkloads.hpp * Add tests for Pooling3d workload * Add Pooling3d build function to ArmComputeTensorUtils Change-Id: Ia270b0fe809a171ed73af14376de8708b346d500 Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
2022-03-23IVGCVSW-6706 Move headers to profiling/client/includeJim Flynn
!android-nn-driver:7337 Change-Id: Ide401623829cc99fb9b51e9bbce3482ce706a8dd Signed-off-by: Jim Flynn <jim.flynn@arm.com>
2022-03-03Revert "Revert "IVGCVSW-6268 Add support of Unidirectional Sequence Lstm ↵Cathal Corbett
fp32/fp16 to Neon"" This reverts commit f87b90e4dbb906436cf205a2a19e199bfe9224ed. Reason for revert: 22.02 release. Change-Id: I1ca5a79a8957908f655a6c4e79eefa24c5aec645
2022-02-23Revert "IVGCVSW-6268 Add support of Unidirectional Sequence Lstm fp32/fp16 ↵Cathal Corbett
to Neon" This reverts commit b0baff73b1574a198e57d46fcd704cedc43cea16. Reason for revert: cannot update ACL pin until 22.02 release. Change-Id: I049a125ba3b6a9b1cd6514ef9dd14d807773ed00
2022-02-21IVGCVSW-6268 Add support of Unidirectional Sequence Lstm fp32/fp16 to NeonCathal Corbett
!ComputeLibrary:7150 Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: I3de48ffc8d08c95a22705e2b68d069791bddae73
2022-02-07IVGCVSW-6635 Move MemCopyTestImpl from acl to armnnTestUtils.Colm Donelan
* Move MemCopyTestImpl.hpp from src/backends/aclCommon/test/ to include/armnnTestutils. * Refactor MemCopyTests in aclCommon, cl and Neon. * Introduce RefMemCopyTests to exercise this utility in x86 builds. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I8824f013d3656658ed0a2904bb79384e3af68641
2022-01-18IVGCVSW-6641 Stabilize the IWorkloadFactory interface with unified strategyTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ia941be9bf2c15fe56e49a9b9a2bbe943a8152438
2022-01-14IVGCVSW-6633 SubgraphView uses IConnectableLayer rather than Layer in its ↵Francis Murtagh
m_Layers * Added IInputSlot, IOutputSlot and IConnectableLayer to SubgraphView * Deprecated old member functions * Removed deprecated calls in ArmNN * Added GetOwningIConnectableLayer function to IOutputSlot * Updates ArmNN Core Major version for IOutputSlot ABI break * Updated Minor version of TfliteParser, OnnxParser and Delegate Signed-off-by: Francis Murtagh <francis.murtagh@arm.com> Change-Id: I2a8611bfabf5ae09d3602fe6a4bef166e18117b9
2021-12-23IVGCVSW-6632 OptimizationViews: has INetwork rather than Graph for holding ↵Cathal Corbett
layers * Deprecate the GetGraph() function in OptimizationViews & remove/fix occurances where OptimizationViews.GetGraph() is called. * OptimizationViews has member INetworkPtr. * OptimizationViews has GetINetwork() method. * Unit test added to OptimizationViewsTests.cpp. Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: Ifc1e53f1c34d786502279631942f0472f401038e
2021-12-15IVGCVSW-6626 Promote backend headers in backendCommon to armnn/backendsColm Donelan
Move the following header files from backendsCommon to armnn/backends. * MemCopyWorkload.hpp * TensorHandle.hpp * Workload.hpp * WorkloadData.hpp * WorkloadFactory.hpp Replace them with forwarding headers and a pragma deprecation message. Resolve the deprecation messages in Arm NN code. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I47f116b30f86e478c9057795bc518c391a8ae514
2021-12-14IVGCVSW-6453 'Move the ArmNN Test Utils code to a physically separate directory'Sadik Armagan
* Created include/armnnTestUtils directory * Moved Arm NN test utils files into armnnTestUtils directory Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I03ac54c645c41c52650c4c03b6a58fb1481fef5d
2021-11-15Add missing QSYMM8 to GetPixelValue()Tamas Nyiri
* Detected to be missing after adding validation to PadWorkload Signed-off-by: Tamas Nyiri <tamas.nyiri@arm.com> Change-Id: I3b2c58f414456008543db299a8461dad5b4d2a96
2021-10-27IVGCVSW-6469 Add MirrorPad FrontEnd and Ref SupportMatthew Sloyan
* Added PaddingMode enum to PaddingDescriptor to enable Symmetric and Reflect padding. * Added Symmetric and Reflect Ref implementation. * Added Serializer & Deserializer support. * Added unit tests. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I4bed907b31742b32ccefe5e8ca39a6f1e5bd9dee
2021-10-27IVGCVSW-6170 Add CpuAcc Conv3d WorkloadTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I3a5bfef5a0085d172fd3689e67f25af909ace2ee
2021-10-02IVGCVSW-5985 Remove deprecated codeJan Eilers
* Removes deprecated AddLayer, IsLayerSupported functions * Marks the whole LayerVisitor class as deprecated not just the constructor. This required to wrap all Accept functions in a no deprecate macro because the LayerVisitor is used as a parameter in there * Removes usage of deprecated LayerVisitor and replaces it with ExecuteStrategy. This required a few structural changes in the unit tests * Adds a default implementation for IStrategy called StrategyBase * Changes pyarmnn to use non deprecated constructor for INetworkProperties and adds related unit test * Marks usage of deprecated code in pyarmnn as deprecated. This required to extend INetworkProperties to allow backwards compatibility * Removes deprecated functions from CpuAcc, GpuAcc and Ref backends Note: This patch breaks compatibility with backends that are not updated in this patch !android-nn-driver:6325 Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Id13b6f37a74d26eadeda2da1dc92915e725ed5a5
2021-09-03IVGCVSW-6262 Add support for Reduce ProdTeresa Charlin
* Tflite parser * Tflite delegate * Serializer * Deserializer * Ref, CpuAcc and GpuAcc workloads Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I601a9ee1680b372c7955d9a628857d08c3cfd377
2021-08-11IVGCVSW-6087 Add an Assertion check to make sure we aren't given null allocatorsDavid Monahan
Add conditional compilation check to Cl specific header Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: Ib196b8ef4dc5fcfd1d1ccd3f29abf8e0ecd020cb
2021-08-10Adds CustomAllocator interface and Sample AppJan Eilers
* Updates the runtime options with a CustomAllocatorMap which allows to define a CustomAllocator for specific backends * Change IBackendInternal interface to use a shared pointer to a custom allocator * Update ClBackend.hpp/cpp to use the CustomAllocator * Adds an example application and unit test which uses a CustomAllocator for GpuAcc * Refactor of the interface to use MemorySource instead of the user Mapping cl_mem directly * Modify the BackendRegistry to also hold a registry of CustomAllocators * BackendRegistry Deregister will also deregister any allocators associated with that backend id * set_global_allocator within the BaseMemoryManager so that it always matches the currently used allocator Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: I156d819686021865f4375e6cb7a5c5dec8fee9e8 Signed-off-by: David Monahan <david.monahan@arm.com>
2021-06-11IVGCVSW-5963 'Move unit tests to new framework'Sadik Armagan
* Used doctest in ArmNN unit tests Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: Ia9cf5fc72775878885c5f864abf2c56b3a935f1a
2021-06-02IVGCVSW-5962 Remove boost::multi_arraySadik Armagan
* Replaced all instances of boost::multi_array with flat vectors. * Updated LayerTestResult struct with new member variables. * Updated CompareTensor function to compare flat vectors and the shape. * Removed MakeTensor function from TensorHelpers.hpp. * Removed GetTensorShapeAsArray function from LayerTestResult.hpp. * Removed boost::array usage. * Removed boost::extents usages. * Removed boost::random usages. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: Iccde9d6640b534940292ff048fb80c00b38c4743
2021-05-20MLCE-418 Reduce layer does not support multiple axesMatthew Sloyan
* Added backend specific optimization to chain new reduces layers for each axis to simulate behaviour of a layer with multiple axes. * Added function to calculate reduced output shape. * Added unit tests. * Includes rework to fix IVGCVSW-5987. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I154b3698b5e6756b05b2a0b5a3f0896184efce72
2021-05-18IVGCVSW-5964 Removing some remaining boost utility usages from tests.Colm Donelan
* Adding a basic PredicateResult class to replace boost::test_tools::predicate_result * Replacing all uses of boost::test_tools::predicate_result with the new armnn::PredicateResult class * Replacing use of boost::test_tools::output_test_stream output with std::ostringstream in ProfilerTests.cpp Signed-off-by: Colm Donelan <Colm.Donelan@arm.com> Change-Id: I75cdbbff98d984e26e4a50c125386b2988516fad
2021-05-07Revert "MLCE-418 Reduce layer does not support multiple axes"Matthew Sloyan
This reverts commit d905decd256558bbee165e636ce4242ac3b9c917. Reason for revert: LargeGraph_TENSOR_FLOAT32/FLOAT16 CTS tests failures Change-Id: Ie69826549e73775825f45134375b5b2c41aebd01
2021-05-06MLCE-418 Reduce layer does not support multiple axesMatthew Sloyan
* Added backend specific optimization to chain new reduces layers for each axis to simulate behaviour of a layer with multiple axes. * Added function to calculate reduced output shape. * Added unit tests. Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I180b0b111b7bcf3d0c283f1db0b82d5f17757682
2021-02-09MLCE-347 'REDUCE_MIN, REDUCE_MAX, REDUCE_SUM Support'Sadik Armagan
* Added TfLiteParser support for REDUCE_MIN and REDUCE_MAX operators * Added ACL workloads support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators * Added TfLite Delegate support for REDUCE_MIN, REDUCE_MAX, and REDUCE_SUM operators Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I8085d59946bfd4ab78a59a61f899031ae53371a8
2021-01-21IVGCVSW-5616 Don't fuse activation if quantization parameters are differentTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I6504e922113aa9e397f53e570ebcf47e1f133945
2020-11-17MLCE-278-IVGCVSW-5530 FusedActivation issuesMike Kelly
* GetOverriddenDataType was returning incorrect quantization data * Optimized CpuAcc and GpuAcc SubGraphs fail validation on debug versions of ArmNN Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Ie97935cc2af67bd9aeebc94b63dafa458bd1aa8c
2020-11-17MLCE-278 issue with signed-int8 quantized modelTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I144ebfca524f4cdee9cc82eef3995c6b32bfc40b
2020-11-13IVGCVSW-5328-5329 Fuse Activation CleanupMike Kelly
* Resolved the review items in the main review. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I5da34b74ac204569ea2d210fb5a069beb7d0835b
2020-11-13IVGCVSW-5328-5329 Fuse ActivationMike Kelly
* Added Fused Activation Optimization to both CL and Neon backends. * Added Fused Activation support to all the CL and Neon workloads that support it. * Changed ProfilingTest network to be a Convolution layer followed by an Abs layer rather than an Activation layer. * Added IBackendInternal::OptimizeSubgraphView function that can accept a ModelOptions. * Network will now call OptimizeSubgraphView passing in the ModelOptions. Signed-off-by: Keith Davis <keith.davis@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ib536ac3cbafc7d9b35c139ad9a65b7735262cd9d
2020-09-24Add int32 and int64 ArgMax op supportInki Dae
This patch adds int32 and int64 ArgMax op support. Current ARMNN already has ArgMax op but not used, and it doesn't support int64 output type. So this patch adds a new type, Signed64, and also adds ArgMinMax computation function for int64 type support. In default, output tensor type of ArgMax op is int64 in case of tensorflow lite model so this patch makes a proper function - ArgMax op for int64 or int32 - to be called according to parsed output_type value. With this patch, ARMNN supports both types - int64 and int32 - for ArgMinMax op. Changelog v1: - Check if output data type of ArgMinMax op is valid or not. - Use template function to support int32 and int64 types of ArgMinMax function. - Keep using Signed32 as default data type of m_Output_Type. Change-Id: I7a8e7e38dd9e5acc81464571d8b4d51378fc7f14 Signed-off-by: Inki Dae <inki.dae@samsung.com>
2020-09-17IVGCVSW-5300 Remove some boost::numeric_cast from armnn/backendsMatthew Sloyan
* Replaced with armnn/utility/NumericCast.hpp * Some exclusions in reference backend * Excluded as requires float implementation in NumericCast.hpp Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I9e4e9cd502c865452128fa04415fd6f250baa855
2020-08-17IVGCVSW-5229 Add ARMNN_NO_DEPRECATE_WARN_BEGIN to Memory testsTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Icd4c84ca6250b6e6d616f64481c5ff60671be9c0
2020-07-29IVGCVSW-5167 Use a generic axis in CL/Neon LogSoftmax and Softmax workloadTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Id72d2c2851adcc1dd8f00a6103642b16ebe3a964
generated by cgit v1.2.1 (git 2.23.0) at 2024-07-26 08:31:24 +0000