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* Optimization that searches for layers with ConstantLayers as inputs.
* The layer member variables are then redirected to these ConstantLayers.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I24a2bf0e8575b808343e0bbe3897b344e94796ad
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* Added IOptimizedNetwork constructor that takes another
IOptimizedNetwork and a ModelOptions.
* Changed PreCompiledLayer to use shared_ptr rather than unique_ptr
to store the PreCompiledObject (no interface changes).
* Added unit tests to ensure that PreCompiledLayer::Clone() clones
the pointer to the PreCompiledObject correctly.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I3ef56055e0d189ffce9e651882d34da16c70a240
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* Ref workload
* Cl workload
* Neon workload
* Serializer
* Deserializer
* Remove boost include from TensorTest.cpp
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I498548169cc77609c55cf3105f1de5a7429772cf
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* This change is necessary because tflite uses a [1,H,W,I*M] format
and uses the I*M dimension for per axis quantization. Our previous
layout [M,I,H,W] can't handle the correlating quantization scales.
* Updates Onnx-, TfLiteParser and TfliteDelegate
* Updates the CpuRef, CpuAcc and GpuAcc backends
* Adjusts unit tests
* Adds test to ensure models with old layout can still be read and
executed
* Adds conversion function to previous layout [1,H,W,I*M] --> [M,I,H,W]
which can be used by backend developers
!android-nn-driver:5553
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ifef23368b8c3702cf315a5838d214f7dc13c0152
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profiling/common
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I83de0fe9c83ec7e698817095ce5cfe3319c36ea6
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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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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I05fc331a8e91bdcb6b8a2f32cfb555060fc5d797
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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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* PermutationVector.end() was returning the end of the fixed size array
m_DimMappings rather than the number of mappings set by the constructor.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: Ie218f7922e8c9c35c1dc702e43a5ee2fd1a61ff0
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*All fold pad test are now in a separate file
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic0b0436f6b0194404f9a3f1553e2f69524b63580
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib01629256309cfe17f341909d5b9bbbb09361422
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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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This block of code to help our Windows user is no longer relevant with
the removal of Boost.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I0f63277cd6913b8edfbcccf3f2cd1880227c35ec
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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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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I4e4eb107aa2bfa09625840d738001f33152e6792
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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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* 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
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* In AddBroadcastReshapeLayerImpl check if a constant layer has other
connections before modifying its output tensor shape.
* In ElementWiseBaseLayer replace an ARMNN_ASSERT with a proper error
message.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: Id3f3796c260eede61f076660505257a8b65d93fc
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I8a29df03afdd6f1cc8413b219e179272cd2d51cf
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Some models would add a PAD layer before a pooling when they can't
express their padding configuration as SAME or VALID.
ArmNN can potentially merge the two merge the two because pooling
layers are described with explicit padding.
The merge is possible if the extra padding is neutral in the combined
pooling operation. A merged operation can only fuse paddings in the
dimensions that accept explicit padding in a pooling operation, i.e. the
spatial dimensions.
Signed-off-by: Diego Lopez Recas <diego.lopez.recas@gmail.com>
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: Icd54718dcd9e797c923456b7fa6e0213e288e668
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* Reading tensor infos won't allow a permutation vector anymore.
The permutation only changed the quantization dimension not the
shape and was therefore misleading
* The permutation of the full tensor info is now performed in
armnnUtils::Permuted
* Changed TfLite Parser depthwise parsing function
* Added unit tests to TfLite Parser with more random data
* Changed TfLite Delegate depthwise parsing function
* Added unit test to the delegate with per channel quantization
!android-nn-driver:5412
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I1f985ee69547bcaf16a72201e00a6b6fe1ef9a97
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* 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
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* Added AsyncExecution to the BackendCapability enum class.
* Logged a warning if backends do not support AsyncExecution capability if AsyncNetwork is created.
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I49f8467297f4b6b8e414cb6a3638a7d3f1bb886a
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TfLiteDelegate support for FullyConnected Operator'
* Added front-end support for non-const weights for FULLY_CONNECTED operator
* Added FULLY_CONNECTED end-to-end test
* Updated FULLY_CONNECTED operator support in TfLite Arm NN Delegate for non-const weights
* Updated the version numbers
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iffa5b9aa9297aca4c02d923cce4636c88ac21faa
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This reverts commit 51ce7d487c761358de105f82ff90553570aedac0.
Reason for revert: https://jira.arm.com/browse/IVGCVSW-5798 LargeGraph_TENSOR_FLOAT32 CTS tests failures
Change-Id: Ib031a47f605340b2202ecf074ce96a8b54c51075
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Some models would add a PAD layer before a pooling when they can't
express their padding configuration as SAME or VALID.
Arm NN can merge the two because pooling layers are described with
explicit padding.
Signed-off-by: Diego Lopez Recas <diego.lopez.recas@gmail.com>
Change-Id: Id048186db6a005e0257bfbc1406c3b0dab2cdd58
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Optimisation when the input is a const tensor
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I8b1357bdefc45880d064d7e448af364ac8644c0d
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* fix delegate perchannel quantization
* change delegate to check reshape options before inputs
* Add int8 "qsymms8" option to ExecuteNetwork
* Add option to run ExecuteNetwork on tflite w/o delegate
!referencetests:301301
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: If3e12599b17aff1199d7ab0a55e1c901e480083d
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* CreateTestNetwork() and CreateTransposeTestNetwork should only be
defined if Ref enabled; the same as the test its called in otherwise
it's defined but not called.
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I7bc522a7884d216d1a8e51afd7cec7a66e4e2947
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!android-nn-driver:5042
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: Ia1ce8b839e81b46428ba0f78463e085e5906958d
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
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Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: If716f5f4e9b5433586b8a939d326830482da2f74
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Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: Id7bc8255a8e3f9e5aac65d510bec8a559bf37246
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I52448938735b2aa678c47e0f3061c87fa0c693b1
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This patch addes ReduceSum operation support for reference backend,
which computes the sum of elements across dimensions of a tensor.
Changelog v1:
- Fix file header descriptions.
Chagelog v2:
- Fix line limit issue.
- Fix type conversion issue.
Changelog v3:
- Remove tabs.
- Modify newly added file headers.
Changelog v4:
- Symbol on header isn't allowed so drop it from newly added file headers.
Changelog v5:
- Remove tabs, fix the use of brackets and align lines correctly.
Changelog v6:
- Add serializer and deserializer support.
Changelog v7:
- Fix build error add missed code.
Changelog v8:
- Rename ReduceSumDecriptor to ReduceDescriptor
- Update m_KeepDims field data type to bool on ReduceDescriptor
- Add ReduceOperation field to ReduceDescriptor
- Rename ReduceSumLayer to ReduceLayer
- Update ReduceLayer to use ReduceDescriptor
- Update ReduceLayer::ValidateTensorShapesFromInputs() function
- Rename RefReduceSumWokload to RefReduceWorkload
- Update workload to use ReduceDescriptor
- Update workload to use Decoders and Encoders
- Remove ReduceSum.hpp and ReduceSum.cpp
- Added Reduce.hpp and Reduce.cpp
- Move Mean.cpp (which is implementing REDUCE_MEAN) functionality to Reduce.cpp
- Update RefMeanWorkload to call Reduce function with ReduceOperation::Mean argument
- Remove Mean.hpp and Mean.cpp
- Update the Serializer/Deserializer ArmnnSchema.fbs for ReduceLayer, ReduceDescriptor, and ReduceOperation
- Update Serializer and Deserializer for serializing/parsing ReduceLayer
- Added TfLiter parser Sum test for REDUCE_SUM operator
- Make corresponding changes on front-end and Ref backend to support REDUCE_SUM operator
Changelog v9:
- Fixed build errors.
Change-Id: I8c8e034f3df73f9565b3c18eff51ecca6c542195
Signed-off-by: Inki Dae <inki.dae@samsung.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
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* Add test for new IsBackendRegistered member function of Handle
* Move deprecated messages to new frontend API of LayerSupportHandle
* Update delegate to use dot operator for IsXXXLayerSupported
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I70d7166e207a10e4b3583a827ca0dda2169bcba1
!android-nn-driver:4940
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* ArmnnQuantizer incorrectly converts boolean or integer DataTypes to quantized
DataTypes. This breaks layers like ArgMinMax where the output contains the
index of an element along an axis.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I272c3d0f48bf884a2480bfa43eb14ec265fcda6b
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6a00045967fa48ec0913c8708ffc146a72ed2b87
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* QASymmS8 and BoundedReLU
* Float16 and ReLU in GpuAcc
* Remove layerName, not needed as 1 test per combination
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I930c7a04d8d904f370f1b40c62cf9311c172bbdf
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Make it easier for backends to traverse the subgraph during optimization
Change-Id: I140cb11f78bab5f19c801a5b55efffb38c63837f
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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Sigmoid Activation"
* This reverts commit be25d94aefe53f221304b1f5f344913b708f808b.
* Add Unit Test: any receiver layer + any activation layer in float and QAsymmU8
* Tidy up fuse activation tests
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ie059d03b85cd17eaaafe5188bb173672a1fb9ae0
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* 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
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* Add frontend and reference implementation for logical
ops NOT, AND, OR.
* Unary NOT uses existing ElementwiseUnary layer and
ElementwiseUnary descriptor.
* Binary AND/OR uses new layer LogicalBinary and new
LogicalBinary descriptor.
* Add serialization/deserializion support and add missing
ElementwiseUnary deserializer code.
* Add additional Boolean decoder in BaseIterator.hpp.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: Id343b01174053a166de1b98b6175e04a5065f720
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Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I0a07dea96a86849701ba387dbea148909a6d729b
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Id0625c58dbeea79874bf986b70d136ed9390bf83
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* failing with no backends provided
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I55ebfc52268ad667e495831c64977338d003db99
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* Remove armnnUtils/CsvReader and usage
* Remove armnn/CsvReaderTest and usage
* Replace functionality in QuantizationDataSet.cpp
Signed-off-by: James Ward <james.ward@arm.com>
Change-Id: I7213904482afa93ae6d607aa5e69117c8c34ea81
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* FuseBatchNorm class has been added to facilitate testing
* Only Convolution2D FP32 being fused
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I049c4770946ddca21b08516d4c9f4d0d22bf9b45
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* Added FloatingPointComparison.hpp and FloatingPointComparisonTest.cpp,
which compares two floats and returns true if the values are
within a specified or default tolerance of each other.
* Also removed boost::math::fpc from test/TensorHelpers.hpp to validate.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I164c32eccd213c53bb1bc4f9cd4ee4838f1781c9
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* The number of error and warning messages will vary depending on the device but will always be greater than 0.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Iee1d12e60d8c88c9116083d7274cea2ec23cb032
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