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* Some header files have been moved from arm_compute/core to arm_compute/function_info
in https://review.mlplatform.org/c/ml/ComputeLibrary/+/9979
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I1a52c9072417da65c3f7a847eac5c167eab983f1
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* Add Reshape layers before and after to extend support for 3D tensors, as ACL only supports 4D tensors for those layers
* Add Unit Tests
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I4431185ce3a3b2f595d2a79bdda7095212d1c52d
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* 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
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* Break up Utils.h a bit to reduce unused code being included everywhere
* Add FullyConnectedLayerInfo.h to ArmComputeUtils.hpp and remove Types.h
* Add MatMulInfo.h to Neon and CL BatchMatMulWokloads
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I2fbe90cb40dc59add90735dafe9fef9aab3fbf06
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* Dynamic bias are supported by CpuAcc for this layer
* Indentation and const modifiers minor changes
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I3b25f14feea55f746c254a832d97e21a1551ca36
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I902c9187eefe7595271312fdc16273f7aa3d41cd
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* Added Deprecation notices for old ElementwiseBinary layers.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I5bd0f186aaed675885d667f47e1e210ee9ec84f8
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This reverts commit 52e90bf59ecbe90d33368d8fc1fd120f07658aaf.
Change-Id: I5a0d244593d8e760ee7ba0c9d38c02377e1bdc24
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
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* Added Deprecation notices for old ElementwiseBinary layers.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Iebbbaff38cc9c347b25eb2f9054c914a4f931c68
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!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
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* 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
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* 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
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* 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
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* 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
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* 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
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* 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
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* Files deleted when Stabilizing the API
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I0ae73ee36968fa880761c10358bfa827be5fe054
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* 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
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* 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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* 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
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* Added backend specific optimization & test for CpuAcc and GpuAcc: PermuteDepthwiseConv2dWeights
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I600476b2e9c557a39818a574c1091c9d650b21b1
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!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
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* 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>
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!android-nn-driver:7337
Change-Id: Ide401623829cc99fb9b51e9bbce3482ce706a8dd
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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fp32/fp16 to Neon""
This reverts commit f87b90e4dbb906436cf205a2a19e199bfe9224ed.
Reason for revert: 22.02 release.
Change-Id: I1ca5a79a8957908f655a6c4e79eefa24c5aec645
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to Neon"
This reverts commit b0baff73b1574a198e57d46fcd704cedc43cea16.
Reason for revert: cannot update ACL pin until 22.02 release.
Change-Id: I049a125ba3b6a9b1cd6514ef9dd14d807773ed00
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!ComputeLibrary:7150
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I3de48ffc8d08c95a22705e2b68d069791bddae73
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* 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
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ia941be9bf2c15fe56e49a9b9a2bbe943a8152438
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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
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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
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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
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* 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
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* Detected to be missing after adding validation to PadWorkload
Signed-off-by: Tamas Nyiri <tamas.nyiri@arm.com>
Change-Id: I3b2c58f414456008543db299a8461dad5b4d2a96
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* 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
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I3a5bfef5a0085d172fd3689e67f25af909ace2ee
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* 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
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* Tflite parser
* Tflite delegate
* Serializer
* Deserializer
* Ref, CpuAcc and GpuAcc workloads
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I601a9ee1680b372c7955d9a628857d08c3cfd377
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Add conditional compilation check to Cl specific header
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: Ib196b8ef4dc5fcfd1d1ccd3f29abf8e0ecd020cb
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* 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>
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* Used doctest in ArmNN unit tests
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ia9cf5fc72775878885c5f864abf2c56b3a935f1a
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* 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
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* 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
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* 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
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This reverts commit d905decd256558bbee165e636ce4242ac3b9c917.
Reason for revert: LargeGraph_TENSOR_FLOAT32/FLOAT16 CTS tests failures
Change-Id: Ie69826549e73775825f45134375b5b2c41aebd01
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* 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
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* 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
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6504e922113aa9e397f53e570ebcf47e1f133945
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* 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
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I144ebfca524f4cdee9cc82eef3995c6b32bfc40b
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