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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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* Pass in new window parameter to the schedule_op function
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8579d2d6e55ab9888471bd780628df0f73438498
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* Add neon detection for linux using HWCAPs
* Add test to check for backend throwing BackendUnavailable exception
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: Ib74aeb06abe5f88f21ecdd1edb2a1cd20ee2019d
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* Implemented external delegate adaptor interface for TfLite
* Activated armnn logging for delegate
* Added logging info to indicate if gpu tuning is turned on
* Added pytests to ensure functionality of the external delegate adaptor
* Included the delegate directory into doxygen
* Added documentation on how to use the external delegate in python
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Id3b4588fb0b9ac7e3f47ba2c19feead7beb58e18
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6504e922113aa9e397f53e570ebcf47e1f133945
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* Added ModelOptions documentation to CLBackendModelContext
* Improved options descriptions in ExecuteNetworkProgramOptions.cpp
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I14f0c8bb4f299809b89f49c616b691e2f7956d5b
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Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I33dc1127627b4b89c02a3bea246eaf7499e5a780
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* Fixed issue where nightly job couldn't find flatbuffers import.
* Removed unnecessary commented code.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: If201f3fe54bf3bdd167aaf5d108154165d2a910d
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* Implemented Serialization and Deserialization of CLContext.
* Fixed flatbuffers android-nn-driver dependency.
!android-nn-driver:4772
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: If806f050535ffaa70922ba0f1ffe7bb10f902329
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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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Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I5a85597e75d2b879ae234c6929686fabe99d7bc8
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* Injected CLCompileContext object to each CL workload.
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I4837dbd3d5b56cf743b3b89c944e3cdf8b11a42a
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Sigmoid Activation"
* This reverts commit be25d94aefe53f221304b1f5f344913b708f808b.
* Add Unit Test: any receiver layer + any activation layer in float and QAsymmU8
* Tidy up fuse activation tests
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ie059d03b85cd17eaaafe5188bb173672a1fb9ae0
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* Convolution
* Depthwise Convolution
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I61b356fbffb176e9a05e08d9b6867d082b6712c8
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* Introduced CLCompileContext to ClWorkloadFactory
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ied38f4336210502e5f518b9955ae6a5ba3d242b3
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* Correct the id when EthosN is enable
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I5203e615f809e56c7597ffeeec56b5ad38d4ff17
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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 supported activations check to Neon FullyConected validate
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I67a36eb83d0568d000e928e27eba3c84e32cdc72
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* Add CL Logical workloads for NOT,
AND and OR.
* Enable Layer and IsSupported tests on CL.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I8b7227b2487fdbbb55a4baf6e61f290313947de1
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* Add NEON Logical workloads for NOT,
AND and OR.
* Enable Layer and IsSupported tests on NEON.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: Ibca59530457a664ca3d77751825642f8daf52fab
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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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* GetOverriddenDataType was returning incorrect quantization data
* Optimized CpuAcc and GpuAcc SubGraphs fail validation on debug versions
of ArmNN
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ie97935cc2af67bd9aeebc94b63dafa458bd1aa8c
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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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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I144ebfca524f4cdee9cc82eef3995c6b32bfc40b
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* Correct datatype of QAsymmS8
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Id4987b91e06d87735254d3cdd5c9adbe11cc8870
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* Resolved the review items in the main review.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I5da34b74ac204569ea2d210fb5a069beb7d0835b
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* Added Fused Activation Optimization to both CL and Neon backends.
* Added Fused Activation support to all the CL and Neon workloads
that support it.
* Changed ProfilingTest network to be a Convolution layer
followed by an Abs layer rather than an Activation layer.
* Added IBackendInternal::OptimizeSubgraphView function that can accept a
ModelOptions.
* Network will now call OptimizeSubgraphView passing in the ModelOptions.
Signed-off-by: Keith Davis <keith.davis@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib536ac3cbafc7d9b35c139ad9a65b7735262cd9d
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* Now enter if block if bias OR weights have
multiple quantization scales.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I5eba0ceac9b347d0e3467e86d72d587b749b9521
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* Use NEConvolutionLayer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ieb81fafaf34a63be8daf297ebe1bb0e4079daf4e
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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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* Fallback to memory copy if memory import is not supported
* Remove direct compatibility between Neon and Cl Tensors
* Unit tests fallback from Neon to Cl and Cl to Neon
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Iec00a77423fb23b37a6b1aefee1b2ec4d649efca
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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I28aace7092cff5743353df1b1de8e7a4691554d3
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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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* Added Documentation for fast_math to CLBackendModelContext
* Added Documentation for fast_math to NeonBackendModelContext
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I43a0568ae6914e074a80130a051e5d9bb849f2ba
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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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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
Change-Id: Ie5ecfa67e4763d0c058905592fe2e2fd7315f85c
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I054f0b71d4e9581c637fa09e40f6b661e58e39f3
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Signed-off-by: Jim Flynn <jim.flynn@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Id2227c58809b84c7a7af61f7c0d88ad7d45ce558
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* Set use_padding to false in neon workload
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ia5367de331efe1d28dea4dfbefc0713720da81f9
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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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* replaced with fmt::format
* one case required std:stringstream instead
Signed-off-by: James Ward <james.ward@arm.com>
Change-Id: Ife7c4cf5f143e43373f42edf6124158af132abc5
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Change-Id: I1a6df60683cc51fcd9739b6dc98f1e722becf045
Signed-off-by: Robert Hughes <robert.hughes@arm.com>
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* LargeGraph_TENSOR_INT32_Rank4/26
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I9d07444db56e26c13a77bf022938644ed7953d6b
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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: Ie0cf69b2cd76d6ecedab43d3d9ae267d23bbc052
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* INetwork::Optimize(...) states that the function should throw an exception
if it fails but the implementation in Network.cpp returned null in some
scenarios instead. This has led to some confusion amongst users.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I358d1293232c9464772aa0e39ab3355e3570c823
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Change-Id: Id8bd0a0418be31d975b944b54bbacb25051ffb2e
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
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*Cosmetic changes on ClQLstmWorkload
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I61f55343263e623aaae042d8dfe8c294540e98f1
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