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* Fix error in InferOutputShapes
Signed-off-by: Cian McGriskin <cian.mcgriskin@arm.com>
Change-Id: I1b38285d82d22715c6502dc63b7bab981e3258e4
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Cian McGriskin <cian.mcgriskin@arm.com>
Change-Id: I0afb2403fee11c5c1e58ea65e2525e99594d8f2d
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* On Neon we cannot remove a Reshape if it's connected to a
SplitterLayer.
* Removed clause 5 in SplitterLayer which could erroneously prevent
the use of Subtensors in certain circumstances.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I437eb5d3ede25329a4d11d12c3fb1aec2e76efb6
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
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* The SplitterLayer did not use the Overridden TensorInfos when
calculating whether or not to use SubTensors.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I675b27c546c6ed720c76f4b9d868ebe32f914c70
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Layer with 2 inputs
* Changing ReverseV2 to use two inputs
* This is required by the backends
* The ReverseV2Descriptor was removed
* Tests updated
* Added a Run<> templatefor inputs with different data types
Signed-off-by: Tracy Narine <tracy.narine@arm.com>
Change-Id: I22f947de829b4b3da6bda3a74f4ffdef4052cc25
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* Added optimization to remove reshapes for Neon and Ref Backends
by using overridden TensorInfos
* Added ability to delete Subgraphs during Optimization
* Fixed naming error in NeonEndToEndTests and CLEndToEndTests
* Added LayerNameAndTypeCheck for testing.
* Fixed error where layers were not marked as altered when removed in
CLBackend
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I1ac25cd4ec9821470d961831ae2c8d24882276cc
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* Remove warning on constant layer optimization being run on layer without
constant tensor
* Remove warning on bias quantization scale not being equal to
(InputScale x WeightScale)
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: I87e97127dc0fd45812bfada1c7dfcc3d5f5cdecc
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* Descriptors added for ReverseV2
* Layer definition added
* Input validation added
* Reference workload implementation for ReverseV2 added
* Reference layer unit tests made for ReverseV2
* CompareTensors method updated to support comparison between empty tensors
* CMake and other build files updated
Signed-off-by: Tianle Cheng <tianle.cheng@arm.com>
Change-Id: I805738454421309fda77c44218a8df171d68dc18
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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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in CpuRef
* Both layers were assuming 4D tensors, now 3D is supported too.
* Remove some unnecessary includes
* Add Unit Tests
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I7bdd11e4936a27cd97ec65fd915e6ccaa1494cff
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I399ed1205f14d4fdd1194026c7a66bf00a1dd68d
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* If the output shape is given in Transpose convolution, use it to calculate the padding
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I0bf3dee94c2ce606ed67fb385018b220188c3017
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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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This makes it easier to use, particularly in backends where it
is common to pass around const pointers to IConnectableLayer.
The non-constant version is rewritten to use the constant version.
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: Id3a8384447e93c213299a85ade9a667df5960534
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* Updated headers that were missing a copyright notice.
* Reverted years that were incorrectly updated.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I65842f1e9b9fd5654563edd5090133cb3c89fecc
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* Fixed issue where ComparisonLayer wasn't calculating its output shape correctly.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I37fe437b598bde694e519d6792182924bd0197cd
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Iefe255ed27e1f69d99dc0cae9cfa1d6d1a51720e
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* Added ability to calculate dynamic tensors and propagate
them through the model so that when those tensors are later
used as inputs they have the right shapes.
* Added InferOutputShapes to DetectionPostProcessLayer.
* Added InferOutputShapes to MeanLayer.
* Added InferOutputShapes to RankLayer.
* Added InferOutputShapes to ReduceLayer.
* Fixed typos in TfLiteParser.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I880c0716938ef278f5dbf01a8a73a5cc99ce5ded
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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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- 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
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* Add functionality to print output tensors to file in tempdir
* UnitTests
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Idfb4c186544187db1fecdfca11c662540f645439
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* Fix for Debug mode in ExNet does not work with ConstTensorsAsInputs
* Remove unnecessary assertion with ambiguous message in LoadedNetwork
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I9cd5d1f811dbbc89072d1190c510bf1b22e3069c
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* This affects only to the layers (not workloads) Conv, DWConv and FC
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I66a91ed1a78bc0464e00423c7fc7c28c91d199ce
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* 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
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* Added armnnTfLiteParser for BatchMatMul
* Added unit testing for parser
* Updated CMakeLists
Signed-off-by: Samuel Yap <samuel.yap@arm.com>
Change-Id: If6842aaf7cf08f688093b714e2ecea6e8cd87161
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* Added transpose parameters to pre-transpose each input tensor's slices
* Added adjoint parameters to pre-adjoint each input tensor's slices
* Small refactoring (BatchMatMulDescriptor static helpers and BatchMatMulImpl constructor)
* Updated input validation and output shape inference for parameters
* Additional layer unit tests for parameters added
* Versionings incremented
Signed-off-by: Samuel Yap <samuel.yap@arm.com>
Change-Id: Ibe5242a8a5bf604c13de0dc65844fd6c421cc667
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib91b734d4add47e23ad00f76e53f1873ff617831
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ConvertLayers.
* ConvertBf16ToFp32Layer
* ConvertFp16ToFp32Layer
* ConvertFp32ToBf16Layer
* ConvertFp32ToFp16Layer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I5e763519a12f017dc14b09ea191fdb3b7398c0d7
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* Correcting some typos
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Icb21dc4828e51afa38816bd454926fc41e9e82cb
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* Descriptors added for BatchMatMul
* Layer definition added
* Input validation added (will likely change when opt. param support comes in)
* Ref workload implementation for BatchMatMul added (will also change with opt. param support)
* Ref layer tests made for BatchMatMul
* CMake and other build files updated
Signed-off-by: Samuel Yap <samuel.yap@arm.com>
Change-Id: Ic885301da543ee0fbe7922b85e7f9658c4efc617
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Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I9ccaefbe28ea572e9e2b4a2168574804667f7460
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* 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
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dimensions
* Added allow-expanded-dims to TFLite parser and ArmNN delegate
* If true ArmNN will disregard dimensions with a size of 1 when
validating tensor shapes. Tensor sizes must still match.
* This allows us to support models where tensors have expanded
dimensions (i.e. extra dimensions with a size of 1).
* Fixed bug in Network where it assumed that only the first option
could be ShapeInferenceMethod.
* Fixed bug where m_ShapeInferenceMethod was lost when copying or
moving Graphs.
* Changed Delegate to pass "infer-output-shape", "allow-expanded-dims"
and other BackendOptions through to the Network during construction.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ibe7c5ae6597796fc9164cb07bd372bd7f8f8cacf
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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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!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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* Corrected TensorInfo order for IsUnidirectionalSequenceLstmSupported
* outputStateOut TensorInfo is not optional.
* cellStateOut TensorInfo is not optional.
* TensorInfo Order matches other QLSTM/LSTM layers.
* Added missing parameters to UnidirectionalSequenceLstmOperator for
delegate.
* Added quantized UnidirectionalSequenceLstm support to Neon
!android-nn-driver:7457
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I26dde1bb96793dd25eb9081ca5ae5f63752288c4
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* Add front end
* Add reference workload
* Add unit tests
* Add EndToEnd test
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I4cebd17b18476df86162e2dda3366c10e80bd2f8
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Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I01f42a520d15c6dabd2f77c7715c91b8f7026476
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Change-Id: Id55a460ecb510f5b30235b03f54390f2c8188fc2
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ia941be9bf2c15fe56e49a9b9a2bbe943a8152438
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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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Subtask of story: IVGCVSW-6164 Add a Pooling3d FrontEnd and Ref Implementation
* Add front end
* Add reference workload
* Add corresponding unit tests
Change-Id: Icce4146dd0a06a1da46a2def00a82d343e171750
Signed-off-by: Tamas Nyiri <tamas.nyiri@arm.com>
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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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* Add parent LoadedNetwork profiling point
* Make generic populateParent function to print new descendents in json
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I41dc876bffae88e61a16d07fb13b062c321e78a6
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* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteParser.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added Conv3d EndToEnd test.
* Added NCDHW DataLayout and unit tests.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I10cdd354ca5f1c748730f92ffdb36bf810f83c8e
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Id1e933f6ae55ddc1a57c80c9f6a5757ccb61f018
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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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