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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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Change-Id: If2289b2d1fc20f4524fcf4620f01ea3a36d727d2
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Change-Id: I6d1ea80c9fabd8c50ee030272c51cb66e85e431d
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
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Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
Change-Id: I6883f878d9f701a55153292769d2fc0530d2529e
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Change-Id: Ia3b9a56787cc68822a3c1635de82e03ecc0aae27
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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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: If048b2a053c542b31ae344fe0af04d9b4f40eb6d
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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Change-Id: Ie4ade0519cb0bbe35dc36be6c9cd749b9171c74b
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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Change-Id: I9144fb6b7d05561b5b8fd9db5dbe31c9257f10ca
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@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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* Refactored Elementwise Workload into the single workload.
* Execute() function will react based on the DataType.
Change-Id: I6d4d6a74cec150ed8cb252e70b629ed968e7093d
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
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* fixed typo in Ref Merger Workload comment
* fixed typo in ViewsDescriptor comment
* made the origins descriptor accessable in the ViewsDescriptor
(needed for serialization)
* based the unit test on the use of the splitter in the CaffeParser
Change-Id: I3e716839adb4eee5a695633377b49e7e18ec2aa9
Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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parameters
Change-Id: Ie67ce4966c5e5fef618876b027292da429de1485
Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
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* Assign output shape of MobileNet SSD to ArmNN network
* Add m_OverridenOutputShapes to TfLiteParser to set shape in GetNetworkOutputBindingInfo
* Use input quantization instead of output quantization params
* Correct data and datatype in Inference test
Change-Id: I01ac2e07ed08e8928ba0df33a4847399e1dd8394
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@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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* implementation of DetectionPostProcessQueueDescriptor validate
* add Uint8ToFloat32Workload
* add implementation of Detection PostProcess functionalities
* add ref workload implemenentation for float and uint8
* add layer support for Detection PostProcess in ref
* unit tests
Change-Id: I650461f49edbb3c533d68ef8700377af51bc3592
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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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* 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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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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*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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StringMapping was located in the backendsCommon
Change-Id: I1c4a0bfca986722c721fcb2b460c03d6e1cd4568
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* Added the Greater operation as an element-wise workload
* Added the unit tests
Change-Id: Ie00ee30e47a5f5e17a728032eeb11a085d06c8f2
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* Add reference equal workload
* Add Reference Workload Unit Test
Change-Id: If2848e7dde4248566b99d91726d08143c40ff80d
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Change-Id: Ib2e5de2a057da57ef77a9f5c4367d699d4773294
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* Removed the input swizzling when the data layout is NHWC
* Permuting weights depending on the data layout used
* Added getter methods to ParsedConstTfOperation to get the tensor
info and the storage memory area, needed for swizzling the weights
* Added unit tests for both NHWC and NCHW data layouts
Change-Id: I6543900c594417df630b2663d8551158b93b7836
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* Since DataLayoutIndexed is now required in the TF parser, this
changes move it to the armnnUtils library so that it'll be
accessible by the armnnTfParser
* Modified CMake files and Android.mk files accordingly
Change-Id: Ie2620359ef288aeff64cb9e9bec068a466eee0e9
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Change-Id: I017ca6c23b62a8978982de0ca4ad204cb8cf7c67
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Change-Id: Id7302c6b1df995ebe6eb8eb94bab38bee1b31b0b
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workloads and workload functions
Change-Id: I6f3fce12a55f7d38ceafcdfcd6b5181bf56e2c09
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Change-Id: Ifeacc0adb4547c72537b9ea7a61bf3c4ec3673fa
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Change-Id: If8d8087d9d365e467d3ca9bf9c40d7219cb75cfd
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* Ported Google's LSTM implementation to RefLstmFloat32Workload
* Fixed the code throughout because of an error in the docs around the
scratch buffer size
* Updated IsLstmSupported
* Added the unit tests
!android-nn-driver:127
Change-Id: I5577b7e39ca52df1a7f102a9b437df6aa99520b6
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BatchToSpaceNdLayer.
* added Unit test
Change-Id: I80f55e8c7afb39d96006c8dd027fc9683ea8182e
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* Fixed error in InferOutputShape implementation
* Added better error checking to the BatchToSpace implementation.
* Added defaults to the batchToSpace descriptors.
* Changed crops to be a vector of pairs to align with the SpaceToBatch implementation
Change-Id: Ib1c16d871f0898a1caeb6629c1fee6380a773e14
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Change-Id: I13c6728dbb60643d0e086d171225c5d802987f92
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Change-Id: I27ffebdece6e68460931a44c15b9b029f9fce638
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Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
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* Fixes bug when calcuating indexes for NHWC in
Pooling2D CpuRef implementation, it now uses
TensorBufferArrayView.
* Adds 2-Channel unit tests for Pooling2d on CpuRef,
Cl and Neon. The single channel tests were not
properly exercising Pooling2d using NHWC data layout.
* Refactors Pooling2D NHWC tests so that the input and
output data are permuted to NHWC when necessary,
instead of hard coding the data in NHWC format.
Change-Id: I5b9d41ed425ff283ea8c8ef6b1266ae0bc80f43b
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* Calculate index for NHWC to compute Convolution
* add more unit test for NHWC
Change-Id: I800d649b9b42be2758c445e3b3e76142888c1377
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* Adds implementation to plumb DataLayout parameter
for Pooling2D on CpuRef.
* Adds unit tests to execute Pooling2D on CpuRef
using NHWC data layout.
* Refactors original tests to use DataLayoutIndexed
and removes duplicate code.
Change-Id: Ife7e0861a886cf58a2042e5be20e5b27af4528c9
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Change-Id: I41f3606198db1fda8d72aaf5169594ba9156eb38
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* Updated the ConvImpl.hpp to use DataLayoutIndex
* Enabled unit test for CpuRef
* Update CreateWorkload Tests for ref with NHWC
Change-Id: Id309b7ef677489d63dcb5e09bd48ab9624b5ebfb
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Normalization workload
* Enabled NHWC support in RefNormalizationFloat32Workload for
Across normalization
* Added unit test for the reference implementation
Change-Id: I0e1f319e76491d43b83b121c273fadb5b259d1a0
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