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path: root/src/armnnSerializer/Serializer.cpp
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2023-07-25IVGCVSW-7884 - Add Tile to Serializer and DeserializerDavid Monahan
* Added parsing functions to the serializer and deserializer * Added Tile and its Descriptor to the ArmnnSchema.fbs * Added a Unittest Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: I72e638d26038c9b118cd82f633af462fd19e2b34
2023-07-17IVGCVSW-7879 Change REVERSE_V2 from LayerWithParameters with 1 input, to ↵Tracy Narine
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
2023-07-14IVGCVSW-7830 Add backend optimizations to remove Reshapes where possibleMike Kelly
* 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
2023-07-07IVGCVSW-7832 Add REVERSE_V2 to Serializer and DeserializerTracy Narine
* Support for ReverseV2 for the serializer and deserializer added * Tests added * CMake files updated for the build * Fixed an issue with the operator_list documentation for Resize and ReverseV2 Signed-off-by: Tracy Narine <tracy.narine@arm.com> Change-Id: If396f55ecdd763d6f91c51707809f4bd58715cec
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
2022-08-30IVGCVSW-7104: BatchMatMul Serializer/Deserializer SupportSamuel Yap
* Updated FlatBuffers schema for BatchMatMul layer type * Added Serializer and Deserializer implementations for BatchMatMul * Added unit tests for BatchMatMul serialization and deserialization * Updated CMakeLists and docs Signed-off-by: Samuel Yap <samuel.yap@arm.com> Change-Id: Iad63afbd036a3eb648683eb7416a475561aa20cb
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
2022-05-05IVGCVSW-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
2022-05-04IVGCVSW-6856 Add GATHERNd Serializer and DeserializerTeresa Charlin
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ibab3525d53edbdf6a48e43b2bf668fcd2efaba58
2022-03-01IVGCVSW-6704 Change the namespace from armnn::profiling to arm::pipeCathal Corbett
* Updated ABI version to 29 due to being the first ABI break in 22.05 !android-nn-driver:7226 Signed-off-by: Cathal Corbett <cathal.corbett@arm.com> Change-Id: I9c50007dcd5b5e792757e7bd1213606df5ffec36
2021-11-17IVGCVSW-6510 Serialization + Deserialization implementationTamas Nyiri
Subtask of story: IVGCVSW-6164 Add a Pooling3d FrontEnd and Ref Implementation * Add serialization support * Add deserialization support * Add corresponding unit tests Change-Id: I7cce5421f0a9b7c47a03524e733f3315131ba125 Signed-off-by: Tamas Nyiri <tamas.nyiri@arm.com>
2021-11-08IVGCVSW-5636 'Implement NNAPI caching functions'Sadik Armagan
* Serialize/Deserialize axis parameter on Softmax Descriptor. Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I1bba0dd7d78f9f211f77115dcefccf24a4a61b39
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
2021-10-20Add ConstTensorsAsInput support for Conv3dMatthew Sloyan
* 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
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
2021-10-01IVGCVSW-6163 Add Conv3d FrontEnd and Ref ImplementationMatthew Sloyan
* Added front-end * Added Reference workload * Added Serializer & Deserializer support * Added unit tests * Added NDHWC DataLayout Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: Iec4d39e7433b5334d52fa44cf8efc6bcd39319d8
2021-09-24IVGCVSW-3705 Add Channel Shuffle Front end and Ref ImplementationSimon Obute
* Add front end * Add reference workload * Add unit tests * Add Serializer and Deserializer * Update ArmNN Versioning Signed-off-by: Simon Obute <simon.obute@arm.com> Change-Id: I9ac1f953af3974382eac8e8d62d794d2344e8f47
2021-08-06IVGCVSW-6119 ConstTensorsAsInput: FullyConnectedMatthew Sloyan
* Constant weights and biases are now stored as Constant layers. * Updated Serializer, Deserializer and unit tests to reflect this. * Updated TfLiteDelegate, TfLiteParser and OnnxParser. * Updated Schema with IsConstant and ConstantTensorsAsInputs. * Updated Ref backend to handle constant weights and bias as inputs rather than reading from member variables. * Added dynamic or constant input EndToEnd tests. !android-nn-driver:5959 Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: Ibf3cf437df1100e4b322b0d303c575c6339f9696
2021-07-28MLCE-530 Add Serializer and Deserializer for UnidirectionalSequenceLstmNarumol Prangnawarat
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: Ic1c56a57941ebede19ab8b9032e7f9df1221be7a
2021-06-16MLCE-510 Add CpuRef Shape Operator to ArmNNKeith Davis
* Add front end * Add reference workload * Serialization/Deserialization * Add unit tests * Update ArmNN Versioning Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I6fcb1fa341d6f08dea4003b13544e6e9f53fefd3
2021-06-16IVGCVSW-5826 Change weights layout for depthwise to [1,H,W,I*M]Jan Eilers
* 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
2021-05-04IVGCVSW-5940 Enabling NN Driver dumps results in a driver segfaultMike Kelly
* Added checks to SerializerStrategy::CreateTensorInfo to handle situations where a shape has some unspecified dimensions Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Idc64bfdabd5677c73a5c64f0c8e80156f3aae8e2
2021-04-12IVGCVSW-5410 Add front-end support for CASTmathad01
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
2021-04-09MLCE-328 Serializer/Deserializer does not support Signed64Mike Kelly
* 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
2021-03-25IVGCVSW-5736 and IVGCVSW-5743 'NonConstWeights: Update front-end and ↵Sadik Armagan
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
2021-02-15IVGCVSW-5648 Adding serializer support for m_DimensionsSpecificityColm Donelan
The field m_DimensionsSpecificity in TensorShape was not being serialized and deserialized following implementation of type 1 dynamic tensors. * Update schema. * Add to Serializer and Deserializer. Signed-off-by: Colm Donelan <Colm.Donelan@arm.com> Change-Id: I7ddbdaf54c8f4b988c6cb300f90ba848a94bdad0
2021-02-12IVGCVSW-4893 Refactor ILayerVisitor using unified interface strategy.Finn Williams
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
2021-02-11MLCE-360 'ReduceLayer InferOutputShape Issue'Sadik Armagan
* Updated ParseReduce() function in TfLiteParser to read correct axis data * Remove unused m_TargetWidth and m_TargetHight from ReduceDescriptor * Updated the ArmNN Serializer Schema Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I98b6e00ccba1d8ea8c845cb1ae28840e42339629
2021-02-03backends/reference: Add ReduceSum operation supportSadik Armagan
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>
2021-02-01IVGCVSW-5593 Implement Pimpl Idiom for serialization classesFinn Williams
Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: I01c7bd314219e58f71505dcb787d606dbded914a
2020-11-09IVGCVSW-5091 Add Logical ops frontend and ref implJames Conroy
* 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
2020-09-17IVGCVSW-5303 Remove some boost::numeric_cast from rest of ArmNNMatthew Sloyan
* Replaced with armnn/utility/NumericCast.hpp * Exclusions in TypeUtils.cpp and QuantizerVisitor.cpp * Excluded as requires float implementation in NumericCast.hpp Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com> Change-Id: I5c4c60e7028e1a51bf9379457278d253fd37bc70
2020-07-06IVGCVSW-4624 Add a RANK Reference ImplementationFinn Williams
* Add Rank front end * Add Rank reference implementation * Add Rank serialization support * Add Scalar serialization support Signed-off-by: Finn Williams <Finn.Williams@arm.com> Change-Id: I06e4a468c2a84e79bae2e6c5348596bbbf853b4b
2020-07-01IVGCVSW-4903 Connect axis parameter in Gather from android to ACL.Teresa Charlin
!android-nn-driver:3302 Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ifbc49acb5272f8a36719bb68676e44817190537d
2020-06-17IVGCVSW-4908 Add Serializer/Deserializer Support for FILL operatorKeith Davis
Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: Icae26505d0e378ee5ffb3e92b35d78d48b369d2e
2020-06-11IVGCVSW-4906 Add front-end support for FILL operatorRyan OShea
* Added new fill layer * Added visitor tests Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com> Change-Id: Iea677014866b4f2d514004623f59ee83f3c0eef8 Signed-off-by: Keith Davis <keith.davis@arm.com>
2020-05-30IVGCVSW-4888 Update Resize Front end for new parametersDavid Monahan
* Added AlignCorners and HalfPixelCenters to Resize and ResizeBilinear * Updated Serializer and Serializer tests !android-nn-driver:3280 Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: Ice3bb448c239b04323854641525bfe0808c03b2e
2020-05-13IVGCVSW-4777 Add QLstm serialization supportJames Conroy
* Adds serialization/deserilization for QLstm. * 3 unit tests: basic, layer norm and advanced. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I97d825e06b0d4a1257713cdd71ff06afa10d4380
2020-04-24Added new DataTypes to SerializerMike Kelly
* Added support for BFloat16 and QAsymmS8 to Serializr. Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I481af26d5758190ec2e5cd9f9d232d72bcb7acbd
2020-03-27IVGCVSW-4555 ArmnnConverter (Serializer) does not support per-axis ↵Sadik Armagan
quantization params * TensorInfo can have multiple scales and quantization dimension. Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I0ff02e3766996b6a9da6dc4e92d366bc9505c77d
2020-03-20IVGCVSW-4549 Add front end for new QLSTM layerJames Conroy
* Added new layer QLstm (Android R HAL 1.3) * Made necessary updates to APIs * Added unit tests * This layer is functionally equivalent to the original unquantized LSTM layer with some additonal quantization features added. Due to this, original LstmParams are used for this layer. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I5b7f2d2fb6e17e81573b41a31bc55f49ae79608f
2020-03-10IVGCVSW-4482 Remove boost::ignore_unusedJan Eilers
!referencetests:229377 Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Ia9b360b4a057fe7bbce5b268092627c09a0dba82
2020-03-02IVGCVSW-4440 : Add HARD_SWISH Support to Activation in CpuRefColm Donelan
* Add a new Activiation type of HardSwish. * Add CpuRef support and tests. Signed-off-by: Colm Donelan <Colm.Donelan@arm.com> Change-Id: I68c3840aa45b7a27d5e416a5d50fe8f99f003ce8
2020-03-02IVGCVSW-4375 Add support for TransposeMike Kelly
* Added TransposeLayer * Added CL, Neon and Ref Workloads * Added Transpose utilities * Added Serializer and Deserializer support * Added Quantizer support Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: I04c755ba7cb5b1edf72b3c9f3c0314878032e3c7
2020-02-28IVGCVSW-4439: Adding Elu support to ActivationDavid Monahan
* Added CpuRef implementation * Added Unit Tests * Added Quantizer Test * Enabled Tests for Neon and CL backends on fp32 only * Added to Serializer Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: Ic23e1797dbc9352b40678c389d7fe2b836b582ea
2020-02-04Build graph->inputIds/outputIds with layerBindingId instead of layerIndexexperimental/QuantizerStuffTee Jung
Signed-off-by: Jung Tae-young tee.ty.jung@openedges.com Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com> Change-Id: I25ceeca70e72fad88ab039aed5a5ab6a7cc08c6c Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2020-01-23IVGCVSW-4259 Add frontend and reference workload for UnaryOperationLayerjosh minor
* Added new layer named ElementwiseUnary * Deprecated existing Abs/Rsqrt layer functions * Updated existing Abs/Rsqrt test infrastructure to use new layer * Added boilerplate for new Exp,Neg,Sqrt elemwise op layers * AbsQuantize test removed pending future commit * Serialization support added !android-nn-driver:2550 Change-Id: Ic595c645925e17b45db568187fd05646daf2e87f Signed-off-by: josh minor <josh.minor@arm.com>
2020-01-20Remove use of ArmNN.hpp from other public headersMatthew Bentham
Also remove it from armnnSerializer and armnnUtils. In general code within Arm NN should only include exactly what it needs. This will help keep compile times down, and reduces the need for a complete rebuild when anything in the public headers changes. ArmNN.hpp should only be provided as a convenience for user code where the user doesn't know enough of the API to decide which specific headers they need. Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com> Change-Id: I4ffcaa7662af4f88a1babf2bf17d03da6f77d665
2020-01-13Rename quantized data types to remove ambiguity for signed/unsigned payloadsDerek Lamberti
!android-nn-driver:2572 Change-Id: I8fe52ceb09987b3d05c539409510f535165455cc Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
2019-12-31IVGCVSW-4246 Clean build of Visitors with -WextraDerek Lamberti
Change-Id: Icb1b35ff55fa22103777853e6f49fc282d61750d Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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