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* Add support for QSymm16 for FullyConnected
* Add templating to Uint8 RefLayerTest to test QSymm16
Change-Id: Ie6e989daf2ca966d6c6805b8017126eb77ebfec4
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
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* Refactor FullyConnected workloads into single workload.
* Refactor FullyConnected ref implementation to use Encoders
and Decoders to support all DataTypes.
* Deleted RefFullyConnectedFloat32Workload and
RefFullyConnected2dUint8Workload.
Change-Id: Iad30fb0287ab7491e1297997e7d61f1d00785541
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
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Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I90903af1b8c961a7727da9172a7f02031521a6ad
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* Added QuantisedSymm16 as supported type for Conv2D
* Added Unit Tests for QSymm16
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I4a8176091e75abfb0ea3a4b913c213111512df75
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Change-Id: I47bb0f782acfa5b2d2fee9132875f9a655ea635e
Signed-off-by: Ruomei Yan <ruomei.yan@arm.com>
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Change-Id: I3cf8d9dbc4f8c95e0e2311505dd7e9f9069f1ab5
Signed-off-by: Ruomei Yan <ruomei.yan@arm.com>
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* Refactored RefConvolution2dWorkload to support all DataTypes through Encoders and Decoders.
* Added Convolute function to ConvImpl that uses Encoders and Decoders to support all DataTypes.
* Deleted RefConvolution2dFloat32Workload and RefConvolution2dUint8Workload.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic5ef0f499d08b948fa65fdee54b5f681fd0b1c05
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handle multiple Graph objects
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I7ccc10a4d81eaac724a374a0d8abc70c9c79a3f4
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!android-nn-driver:1183
Change-Id: Ia69995b7f09cb86b64611e8efd315413e3064ca1
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* Added OptimizeSubgraphViewTests file covering a number of
use cases for the Optimization API
* Fixed a bug in the sub-graph selector algorithm that skipped the
first layer in a sub-graph if it wasn't an input layer
* Changed the graph splitting logic to make use of maps instead of
unordered_maps to keep the split sub-graphs in consistent order
between executions
* Added more common unit test utils
* Minor fixes to comply to the include file conventions
Change-Id: Iad464eaedd004109e5ef41aa487cea3ad86177d3
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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Change-Id: Id836372c0e4ef0c3996085facc4da6263366abcf
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* Validate that output is any of supported types in WorkloadData
* Validate that output is any of supported types in RefLayerSupport
* Add test for constant with QuantisedSymm16 in LayerTests
* Add test for creating constant workload in RefCreateWorkloadTests
* Add test for constant with QuantisedSymm16 in RefLayerTests
* Refactor RefConstantWorkload - BaseWorkload instead of TypedWorkload
* Refactor RefConstantWorkload - remove m_RanOnce, use PostAllocationConfigure()
Signed-off-by: Nina Drozd <nina.drozd@arm.com>
Change-Id: Ic30e61319ef4ff9c367689901f7c6d498142a9c5
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Change-Id: Ifeb33db919ef77bf777e114f2d84b88fd595ca2c
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* Added a mock implementation of an ArmNN backend for unit
testing
* Implemented a mock version of OptimizeSubgraphView
* Fixed a typo in the Optimization API
Change-Id: Ic7acf7cc5c2a76a918e94cdc356baae7c7597a6d
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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Change-Id: If2289b2d1fc20f4524fcf4620f01ea3a36d727d2
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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!android-nn-driver:1120
Change-Id: I5192fa3deb4ea9766d38ad0bf4dfbfa0b4924c41
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Adds unit tests for dilated depthwise conv
Change-Id: Iad0a1b33d07fb0ef8f9f6edf0fd0f83a5800a36d
Signed-off-by: Bruno Goncalves <bruno.slackware@gmail.com>
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
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* Add unit tests for QSymm16 LSTM
* Update supportedTypes in WorkloadData & RefLayerSupport with
DataType::QuantisedSymm16
Change-Id: I1a2627b11b707d68d7d7002f63b985f9571ee177
Signed-off-by: Conor Kennedy <conor.kennedy@arm.com>
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!armnn:1023
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ie4e5c4e7cb9edec690235393fff0721fca5da6cc
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!android-nn-driver:968
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I03ccb4842b060a9893567542bfcadc180bbc7311
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+ Added PostAllocationConfigure() method to workload interface
+ Elementwise function now deduces types based on Functor
- Replaced RefComparisonWorkload with RefElementwiseWorkload specialization
+ Fixed up unit tests and minor formatting
Change-Id: I33d08797767bba01cf4efb2904920ce0f950a4fe
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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IVGCVSW-2863 Unit test per Elementwise operator with QSymm16 Data Type
* Added QSymm16 support for Elementwise Operators
* Added QSymm16 unit tests for Elementwise Operators
Change-Id: I4e4e2938f9ed2cbbb1f05fb0f7dc476768550277
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
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* Refactor Reference Comparison workload
* Removed templating based on the DataType
* Implemented BaseIterator to do decode/encode
Change-Id: I18f299f47ee23772f90152c1146b42f07465e105
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Signed-off-by: Kevin May <kevin.may@arm.com>
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Change-Id: I6a6ece708a49e8a97c83a3e7fec11c88af1e1cfa
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
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Change-Id: I54549671e0d3b207904cf9796a843eb2b0a631f7
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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Change-Id: I4b1c1f963214433ad67d5a311fbea5f21177f6a2
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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Change-Id: I291c08cb6e359453978b398255cf8ff051ed2686
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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Change-Id: Ie4ade0519cb0bbe35dc36be6c9cd749b9171c74b
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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*Add Dequantize layer to the frontend
*Add Serializer and Deserializer for Dequantize
Change-Id: Ide2647b9e0348d599deb97e61ca4bf66e2f17fc0
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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Change-Id: I2014a8d801f1f222d27a80dddf4f188ddcb3a5c9
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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* Also update Debug layer to use layer guid information
Change-Id: I9ec1f639299c3f855b670ff031a0e88d685cfc6b
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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* Compute Softmax Acl axis for Cl and Neon
* Add unittests for Softmax in 3D and 4D
* Correct input and output layer names in CaffeSqueezeNet inference test
Change-Id: I2d369d9a2db19c40f2af3341039dd33f0c5637b1
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
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*Also added test case for non-zero crop and moved BatchToSpaceNd test
functions together
Change-Id: I142ba356165618b2811a4ab650ca6ced35220d9c
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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parameters
Change-Id: Ie67ce4966c5e5fef618876b027292da429de1485
Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
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Change-Id: Ia2e512c0ed035bc6ee46cd67df5e619da9770900
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
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* end to end tests for Detection PostProcess float and uint8
* add anchors to AddDetectionPostProcessLayer
* add anchors to VisitDetectionPostProcessLayer
* refactor code
Change-Id: I3c5a9a4a60b74c2246b4a27692bbf3c235163f90
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
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no longer work
* Added two master variables ARMNN_COMPUTE_CL_ENABLED and ARMNN_COMPUTE_NEON_ENABLED
to android-nn-driver/Android.mk to easily control backend support
* Setting either of those two new variables then properly sets the
corresponding build macro
* If a specific backend gets disabled, the corresponding source files
will be excluded from the build
* Unified the usage of the pre-compile macros
!android-nn-driver:613
Change-Id: I582ff73493b70ba9e22ca2e38d875a0f19566c8a
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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Change-Id: Ie94743c769fc17d976849ba4b22af3a13561ff55
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* Added DetectionPostProcessQueueDescriptor to WorkloadData
* Added CreateDetectionPostProcess function in WorkloadFactory.hpp
* Added stub implementation of the CreateDetectionPostProcess
in workload factories
* Added DetectionPostProcessLayer stub implementation
* Added AddDetectionPostProcessLayer to Network
* Added IsDetectionPostProcessSupported to LayerSupportBase
Change-Id: Ifc071b3b6b12877c997bdcc43d769c8f891d5c6c
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* Remove Equal and Greater from RefElementwiseWorkload
* Create RefComparisonWorkload and add Equal and Greater
* Update ElementwiseFunction for different input/output types
* Update TfParser to create Equal/Greater with Boolean output
* Update relevant tests to check for Boolean comparison
Change-Id: I299b7f2121769c960ac0c6139764a5f3c89c9c32
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* Add end to end test for Gather operator
* Add Support for int32 to Constant layer for Ref
* Add Int32Workload
* Add RefConstantWorkload as template for float, uint8, int32
* Remove unused RefBaseConstantWorkload
* Remove unused RefConstantFloat32Workload
* Remove unused RefConstantUint8Workload
* Add support check for int32 in LayerSupport functions
Change-Id: Ic970588a49ebe2aafb12be8adef52371feacaa7b
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* Refactored all the workload factories to use "virtual" properly
* Removed the precompiled layer support from the optimizer
* Disabled compiler optimization for debug build to ease debugging
Change-Id: I6ab83abd78f422771359295e25b79bb9be613cfd
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* add implemenentation for GatherQueueDescriptor validate function
* add FirstInputTypedWorkload to allow type check on the first input tensor only
* add ref workload implemenentation for float and uint8
* add Gather layer support in Ref
* unit tests
Change-Id: I4578a3211f11d24aa29d15bcf7f45b0445bcd1ee
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Change-Id: I7359617a307b9abb4c30b3d5f2364dc6d0f828f0
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* Added GatherQueueDescriptor to WorkloadData
* Added CreateGather function in WorkloadFactory.hpp
* Added stub implementation of the CreateGreater function in workload factories
* Added GatherLayer stub implementation
* Added AddGatherLayer to Network
* Added IsGatherSupported to LayerSupportBase
Change-Id: I0408fd54e88a7d4e3d9e1c2811a9323f0da52a04
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separate branch) and master
* Brings in all the changes done for the pluggable backends
* Added sub-graph support and tests
* Added precompiled layer support and tests
* Moved BackendSettings to a separate file
* Removed the backend-specific code
* Ported DebugLayer and associated functionality
* Included fixes to make those changes work with master
Change-Id: Id7028fa7917527b844628d5aff5732e3d94c0488
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Change-Id: I43be451f490db0154021f47a2fd49d1269cf5b95
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*Added Unit Tests
Change-Id: I6cceb8e6dcda35ce08415f8e5ca86019a64d26e3
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in favor of a type-indepent implementation that takes void-pointers
* The new implementation requires the size of the type to be passed
to the function
* Updated all the usages accordingly
* Removed the old implementation no longer used
!android-nn-driver:469
Change-Id: I37f4e6d62a38fbb8ec8c39bb559a2c54c83365d4
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* Unified ArmNN's weight format to [ M, I, H, W ] for the depthwise convolution
* Added conversion utilities to permute/reshape the weights as appropriate
when using CL and Neon backends
* Updated the reference implementation of the convolution
* Updated the relevant unit tests accordingly
!android-nn-driver:459
Change-Id: I07d0818efa9d1ca1e5dad82983aac1fe78eadb18
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