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* exchange boost::polymorphic_downcast with armnn::PolymorphicDowncast
* remove unnecessary includes of boost::polymorphic_downcast
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ie603fb82860fe05fee547dc78073230cc62b2e1f
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* Change boost assert to armnn assert
* Change include file to armnn assert
* Fix ARMNN_ASSERT_MSG issue with multiple conditions
* Change BOOST_ASSERT to BOOST_TEST where appropriate
* Remove unused include statements
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I5d0fa3a37b7c1c921216de68f0073aa34702c9ff
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* Enabled Boolean and Int32 data types in Reference Comparison inputs
* Added decoder for Boolean data type
* Refactored ClGreaterWorkload to work with any data type
* Refactored NeonGreaterWorkload to work with any data type
!android-nn-driver:2902
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I92772810b744b388831c9dca0119ebf8cb7a447e
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I9099a4f840fb747336f77d20a0868b64e801a310
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Ida6d7e1d2c9abe0618f8b711bab9d62c011090d6
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Id179cb4774a4565e5e905e5fe4c34299178644de
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Ifaae4d5aac468ba927b2c6a4bf31b8c8522aeb2e
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!referencetests:229377
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ia9b360b4a057fe7bbce5b268092627c09a0dba82
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* Add ConvertFloat32ToBFloat16
* Add ConvertBFloat16ToFloat32
* Add BFloat16Encoder
* Add BFloat16Decoder
* Unit tests
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I198888384c923aba28cfbed09a02edc6f8194b3e
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* Add a new Activiation type of HardSwish.
* Add CpuRef support and tests.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I68c3840aa45b7a27d5e416a5d50fe8f99f003ce8
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* 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
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* 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
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* Add Debug workload for QAsymmS8/U8
* Change Dequantize tests to test AsymmS8 instead of SymmS8
* Fix incorrect supportedness within RefLayerSupport
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Ie51f1e33c564d46c86bf0150b1addda3fc093d13
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* Add QAsymmS8 to QueueDescriptor supportedTypes
* Add QSymmS8/QAsymmS8 to RefLayerSupport supportedTypes
* Some additional comments and refactoring
Change-Id: I8567314452e6e8f6f69cb6e458ee147d3fc92fab
Signed-off-by: Keith Davis <keith.davis@arm.com>
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* Added Quantization Scheme for QAsymmS8
* Added Unit Tests for QAsymmS8
* Renamed QAsymm8 calls to QAsymmU8
Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com>
Change-Id: I897b4e018ba1d808cc3f8c113f2be2dbad49c8db
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* Add parsing of the related parameter to TfLiteParser
* Update ResizeDescriptor to store the additional parameter
* Update NEON/CL workload to pass the additional parameter.
* Update Reference workload to pass and handle the additional parameter.
!ComputeLibrary:2538
!ComputeLibrary:2569
!armnn:2612
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Change-Id: Id149e1c24c2abed7e9dd81939acf54dfabfcdfd2
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* Add no-ops for CL/NEON Uint8
* Refactor Quantize workload to Decoder/Encoder types
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I80b09de528299b925e2ac38acd9a5019b8d3e4ac
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* Added debug layer support for QSymmS8
* QSymmS8 support for workloads
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I51af92fadc0be290629dd9198beab5abef9e351f
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!android-nn-driver:2622
Change-Id: If99d3eff71ff66ba28af1e5af248299fe04511b9
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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* 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>
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Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
Change-Id: Idb583f8de4470eefb47c90189cd3c90e74e0440a
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Iedfc196bfd18e8280e99a06db68df9c15c8ea835
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Logging.hpp is mainly useful for raising Arm NN log messages. There's
very little point in automatically including it for users of the library
via the ArmNN.hpp convenience header.
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
Change-Id: I71fb3188dc0b30c1bbc86a31996470c707d38c19
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!android-nn-driver:2572
Change-Id: I8fe52ceb09987b3d05c539409510f535165455cc
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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Change-Id: I9e8d5576b3ec04c871785d5f2f9545bf1136e59b
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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!android-nn-driver:2435
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I10ecd4a8937725953396805f33a3562a5384c4d4
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* Create a public API for the common backend files
* Move OutputHandler to armnn internal
* Remove unused headers
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I3e86d908b021e3561befa9d45158d87d2cbb18c0
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!referencetests:214319
* Reduces arm nn binary size ~15%
* Also fixed test logging black hole issues
Change-Id: Iba27db304d9a8088fa46aeb0b52225d93bb56bc8
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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* Moved the relevant armnnUtils headers to the new location:
include/armnnUtils
* Update the header usage throughout the source code
!android-nn-driver:2387
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
Change-Id: I2ba15cebcacafad2b5a1a7b9c3312ffc585e09d6
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* Add Guid to Workload
* Remove circular dependency
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Signed-off-by: janeil01 <jan.eilers@arm.com>
Change-Id: I15342fa7481c6bdc050e057dce2d74bba07fe2dd
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Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Ia879f2d84a1b977474ee0dafa976f2aab32bd3ae
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!android-nn-driver:2260
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Iad93c1940568ffa65ed314c8871ea66caf4f9e4a
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TransposeConvolution2d
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Ie0dc1204eee925adfb1e59aba3f1137178302184
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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I2da66efca40bc21d417efc42a225877d94e31428
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Convolution2d workload
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I0ac08ba4864d48e6f64c4ac645dad8ea850be112
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* Added ScaledInt32PerAxisDecoder implementation
* Added new case for Signed32 in MakeDecoder that returns a
ScaledInt32PerAxisDecoder if the tensor info has multiple
quantization scales
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I8b3c11091644da993044d2a0fe2aba6b06b5af56
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* Add QuantizedSymm8PerAxis to armnn DataType (types.hpp) and
* Add Quantize and Dequantize template for int8 in TypeUtils to be able to compute QSymm8 of the weight
* Create PerAxisIterator for per-axis quantization
* Create QSymm8PerAxisDecoder
* Create QSymm8PerAxisEncoder
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Ibcfe0288a197b7ee50b543bdbd77b7edb8a547c2
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* Changed RefDequantizeWorkload to use Encoder/Decoder
* Added related unit tests for Cl, Neon and Ref
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ic2fd4103090dd2127c6859b49305736f7b2dfb05
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* Added frontend for ComparisonLayer
* Added RefComparisonWorkload
* Deprecated and removed Equal and Greater layers and workloads
* Updated tests to ensure backward compatibility
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Id50c880be1b567c531efff919c0c366d0a71cbe9
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Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I10bb7133e0e2d6d7199abdf39562b1226bbbd3e7
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I725022f86e990c482ea323fc90fd136fe493ed68
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* Use different way of constructing the PermutationVector objects needed
by the DepthToSpace workload
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Ieb32c21b7cb4c2e9af22e9e1a0ac2c534be5559d
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Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Id937dc4425884ad1985dcdfaae8bf3fb64f0c766
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Change-Id: I65209ecec4e3abf808163239748d6e830568c2e3
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
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* Added reference workload implementation and layer tests
for all supported tensor dimensions (1d, 2d, 3d, 4d)
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I40eb300828933e9183027281105d1a7e597d1569
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* Add ArgMinMax implementation
* Add utility function to get number of elements between axis
* Add utility function to get unsigned axis
* Unit tests for ArgMinMax function
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I7bc3d610dda9526190187eb87394a8ed7a4b5cdd
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* Working on layers required by FSRCNN, FCRN and DeepSpeaker
* Updates RefLayerSupport and RefWorkloadFactory methods
* Adds RefPadFloat16Workload
* Tested by successful execution of these networks on Reference FP16 backend
Signed-off-by: Matthew Jackson <matthew.jackson@arm.com>
Change-Id: I4817dca0a89bba6902f0feffc494b27a26a0ab2d
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* Implement Float 16 Encoder and Decoder
* Add Stack Float 16 layer and create workload tests
Signed-off-by: Matthew Jackson <matthew.jackson@arm.com>
Change-Id: Ice4678226f4d22c06ebcc6db3052d42ce0c1bd67
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* Implemented RefAbsWorkload and unit tests
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ibfcdb2b37fd8d240c181f96856e2c997a4b88914
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* Fixed Quant8 VTS test failures where an output value should have been greater than 255 before a negative bias was applied.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ie0084c1c8c4a4b5f069112d523765ed338277e58
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