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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I02da912e5e4ca650b367ca40fe3f5ca5baa61cbb
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* Add new class ManagedConstTensorHandle to Unmap when out of scope
* Integrate into existing layers that have constants
* Add unit tests
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I0a05e14e438804b37e9862e76b5ca329483f6b45
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* Added multithreaded StridedSliceEndToEndTest
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I4579db7b5959e0a22256f1bda00238c22e611dec
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IVGCVSW-5415 Add TfLiteParser support for CAST
* Added front end support for CAST, including support in the
Reference workload, Serialization, Deserializtion, Unit tests, and
TfLiteParser.
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Iaf670ca5912a21ed6bc84f7f83a68b42154846bb
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* Added support for Signed64 to flatbuffer's schema & updated source tree
* Added support for Signed64 to TFLite Delegate
* Added support for Signed64 to Serializer
* Added support for Signed64 to Deserializer
* Added unit test for ArgMinMax to Deserializer
* Deprecated m_Output_Type from the ArgMinMaxDescriptor: the output type
is solely determined by the DataType of the output Tensor
* Fixed issue where RefArgMinMaxWorkload could output data using
the wrong DataType
* Added Signed64 to RefLayerSupport::IsArgMinMaxSupported as a supported
type
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib622c052a1f8aa3e658262f8bde5a6881a8cbe10
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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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* Added thread safe execution mechanism for armnn
* Removed duplicate function bool Compare(T a, T b, float tolerance)
* Added StridedSliceAsyncEndToEndTest
* Fixed memory leak
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I2d367fc77ee7c01b8953138543e76af5e691211f
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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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Debug layers are given names based on the layer they take their input from.
If a layer has multiple outputs then one debug layer will be attached to
each output. Therefore all these debug layers would have identical names
making them hard to distinguish when debugging. This patch includes the
output slot index which the debug layer takes its input from when creating
the name.
Change-Id: I09eaa8a7edad9bfdf678b4778cf740340013126c
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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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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* Allow input tensors of any rank in ReduceQueueDescriptor::validate
* Fix VTS tests failing for REDUCE_MIN due to initialization
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id8fba1662ade4e0a967093fe5a53b275847f2393
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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: 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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* Added CL implementation of Rank Workload
* Removed references to memcpy_s as it's a windows only function
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: Ia63666b9640d76a775f2ab98b3cd7e9f77b5a507
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I85f0c30757043f8c27c78d607f0f9dbbdd35b9fb
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* In favour of ElementwiseUnary functions which
are the currently used code path.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I34964d2dcabd4b7ddf0b455df17c48e3c6812ee4
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* Add Boolean support for Reshape
* Use LogicalUnary factory and data type for LogicalNot
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I8e072fde200b7716556ae67f79616458cf98ff20
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* Added FP16 DataType support to DetectionPostProcess
* For DetectionPostProcess layer output is always Float32 regardless of input type
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I21f63dd08f0863e9a98e105b3009bab3da1ab0c3
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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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If visited flag set true, it should not be visited any more.
For example, if we put 10 boxes (ordered by score) into NonMaxSuppression:
* Step1: Suppose Box 2/3/6/8 are suppressed by Box 1. Box 4/5/7/9/10 survived.
* Step2: Correct way: We use Box 4 to suppress the survive boxes.
Prior to this commit: Box 4 may be suppressed by Box 2,
even Box 2 is already suppressed by Box 1...
Signed-off-by: Antkillerfarm <antkillerfarm@gmail.com>
Change-Id: I38d7a84287649827a16565748592fb562b4df5d5
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* Replaced with fmt::format in Descriptors.cpp.
* Removed remaining boost/format headers in ArmNN codebase.
* Removed additional boost header in Network.cpp
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib98b83bf4ec99ef98ce7a3635ec0dd478c3e43e1
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* Floating point casts now use armnn::numeric_cast.
* Also removed remaining header imports.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I2d37847d67f164fc0a0ae17f34d49ff3d2210c30
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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: Ie0cf69b2cd76d6ecedab43d3d9ae267d23bbc052
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Change-Id: Id8bd0a0418be31d975b944b54bbacb25051ffb2e
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
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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>
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* 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
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factory'
* Pass ModelOptions to WorkloadFactory
* Updated signature of CL and NEON Convolution2d workloads added FastMathEnabled param.
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I536178be8e4dd4083489e69febadaf0feeba46d2
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the tests for layers Q,R & T
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I6fc613d31785298a0b7ed18f1abdd59bafed1e8e
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NO_DEPRECATE_WARN
* Done for all elementwise layers, Activation, BatchNorm, BatchToSpace
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Id1d15a0960233026aecf7a07e0d3f006e07e4abf
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the tests for layers M-P
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I324eee7d750e30f714e0d346b7da7b69866ff935
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the tests for layers between G-L
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I197351a479fb211787bd12a73c9618d2ded95898
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for all layers between C-D
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I9583adf50e67e63e73833f400d1c50fbff57f60c
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* Refactored Floor and FullyConnected tests
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: Iad87254e638bdcb5d7b334b16ec87a0c981e48a0
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* Re-factored SplaceToDepth, Splitter, Stack and StridedSlice unit tests
to use TensorHandleFactory for creating TensorHandles
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ib22bb09cd2120c02c548099eaa06db6e6f00b15e
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* Re-factored SoftmaxTestImpl to use TensorHandleFactory to create TensorHandles
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I83559a89187bbed0d6f34ca589ea81c694bf5683
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* Re-factored SpaceToBatchNd tests to use TensorHandleFactory to create TensorHandles
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I096a6e30ecc97dd9b93b206157f16d912085703c
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Change-Id: I3c317e835aba5feafda240393ca26b6aebe8d655
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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* Refactored ArgMinMax tests to use TensorHandleFactory instead of WorkloadFactory
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ibff0f9370972f9a0a977c05275cb6168f8f88ae5
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* Added new test function to pass in the ITensorHandleFactory
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I9b2e9250200e092541e29796ec53cabd0b677acf
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* Added functionality to query if TensorHandleFactory supports InPlaceComputation
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Icf5bfc5f999fc5d03681dcb8cec88d921842458b
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Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I948117b0ff5be27540267edbd68628f1bff23a9d
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Iea9cc3a36021aac4b86ea5d8340dd8eb1f308283
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* Remove default arguments in Neon and CL causing ambiguity
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I314885719a16311b68c7bda37cd54b2ca0d14480
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I7e4c752f396833e226d73c3569e195b796fbf482
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* Input layer to be int32 instead of same type as output
* Enable float16 end to end tests
* Neon and Cl layer support check for backend
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6bc889077c8da63eeff66bd45730ce5d8783c419
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* Remove QSymm16 support for Floor to match NNApi and disable RefLayerTest
* Return nullptr for floor workload if quantized type
* Fix SimpleAbsTest incorrect output
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I80d9e2fb78777d0a3fc7ce6d12b5eb4af3fd1d3a
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ia8f237a2500986e01843defb75787694a20ba24c
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