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* Enable SliceEndToEnd tests on CpuRef, CpuAcc, GpuAcc
* Enable Signed32 support for slice in CpuRefLayerSupport
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ie9907c65dcb0eb2f2f346b22541ebfc692a109cb
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* Added names to Workloads.
* Workloads will be given the name of the Layer that created them.
* Added new profiling macros to CL Neon and Ref that add the
workload name to the event label
* Updated workloads to use new macros.
* Added missing profiling to Rank Workloads.
* Fixed issue where ClConvolution2dWorkload was being reported as
Undefined rather than GpuAcc.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I0a55eab6c2f455b73943aca8e99a247c3cb2a906
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* Some header files have been moved from arm_compute/core to arm_compute/function_info
in https://review.mlplatform.org/c/ml/ComputeLibrary/+/9979
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I1a52c9072417da65c3f7a847eac5c167eab983f1
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* Follow up review to clean up whitespace and copyright errors mentioned
in https://review.mlplatform.org/c/ml/armnn/+/9885
* Added BinaryElementwiseOperation to .dot files
* Refactored ConnectedToSplitterWithMoreThan4Dims function to more
generally useful ConnectedToLayerType function
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I0e3d0895888f3a3f0a9758ce30bc031aba50812b
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* There's currently a problem with using a non const bias value in
CLConvolution2d. We will block it for the moment.
Change-Id: Iedccea44931a8826e2c1b295bbc46592d8ac3ef8
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
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* 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
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* Add Reshape layers before and after to extend support for 3D tensors, as ACL only supports 4D tensors for those layers
* Add Unit Tests
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I4431185ce3a3b2f595d2a79bdda7095212d1c52d
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* activationInfo passed in directly to configure() rather than part of matMulInfo
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I546def1c1e1cabaf50629f7d78ae0ba459766ed4
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* Break up Utils.h a bit to reduce unused code being included everywhere
* Add FullyConnectedLayerInfo.h to ArmComputeUtils.hpp and remove Types.h
* Add MatMulInfo.h to Neon and CL BatchMatMulWokloads
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I2fbe90cb40dc59add90735dafe9fef9aab3fbf06
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Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I722a9e4f3dba2500c624c6326f74085277e0d631
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* Remove checks for ias being constant
* Convert ARMNN_ASSERTS to throw
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I009f4008393502bd9e30269151ad935ef67f0bc1
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I54c60fb98b9c560c300572f46d42b13aec7e402e
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* Fix failure to parse UnidirectionalSequenceLstm Operator on CpuAcc
* Fix failure to parse UnidirectionalSequenceLstm Operator on GpuAcc
* Fix IsLayerSupported tests when there are multiple otutputs
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Ia690f34d3c7fae87bd36c97056a3ff71baa865f6
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* Dynamic bias are supported by ACL for this layer.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I428bd42a97e0c26c72f9925e3cb209c2fc9a650d
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* Add POW SQUARED_DIFFERENCE and Unit tests for CpuAcc and GpuAcc
Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ifa78af2a2fda2074586d8e4d9a506b1b13fa5755
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DWConv and FC"
This reverts commit fecd9ed396705a17805ffc49839bd82ae24c892b.
Reason for revert: IVGCVSW-7727 Dynamic bias CTS failing
Change-Id: I53f67d60fca0e60a81298f90450ceef26b97c321
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib6914a9a208475b68e969eba6f70fae4061efa9b
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* Removed all instances of TODO statements from comments
* Removed statements are noted as part of IVGCVSW-5846
* Removed ProtoxtFixture.cpp from the Onnx Parser tests as it's not used
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: Ia0a15f8a0d4123c8831638634eaa0d1018c40e2c
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* Set flag for constant weights and bias in ACL tensorInfo in ACl workloads
* Set flag for constant weights and bias in Unit Tests
* Add to dot file for FullyConnected layer the constantWeights flag
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I87e1fef516ce4a8a59245dfdf7d92c153418e1d6
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* Call dedicated MatMul kernel in ACL
* Add int8 tests
* Add int8 to documentation
* Force tensors to be dynamic (nonConst) as per request of ACL
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I7b7ac20deec8637dc46ca990d339d92c4587cbe4
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Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Change-Id: Id4bdc31e3e6f18ccaef232c29a2d2825c915b21c
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I902c9187eefe7595271312fdc16273f7aa3d41cd
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Remove deprecated GetGraph() from OptimizationViews. This method has
been deprecated for a long time and no backends still need it. Remove
include of Graph.hpp from the public headers.
Add includes elsewhere to deal with the header fallout.
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: I8dae275a8a446d9d0e19be62684e9b3cd2fa493d
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* Added Deprecation notices for old ElementwiseBinary layers.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I5bd0f186aaed675885d667f47e1e210ee9ec84f8
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This reverts commit 52e90bf59ecbe90d33368d8fc1fd120f07658aaf.
Change-Id: I5a0d244593d8e760ee7ba0c9d38c02377e1bdc24
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
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* Added Deprecation notices for old ElementwiseBinary layers.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Iebbbaff38cc9c347b25eb2f9054c914a4f931c68
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!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
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* Added ability to reduce dimension sizes when calling BuildArmComputeTensorInfo or
BuildArmComputeTensorShapes, this will attempt to remove leading 1s in order to
squeeze the number of dimensions but retain the size.
* Changed ClBatchMatMulWorkload to attempt to squeeze the number of dimensions to 3
as the CL Gemm Kernel can only support up to 3 dimensions.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I6b3d0886c5b97fdb686838fc3dc292833ddc4643
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I60e9284b90467f58e0acd74d3f1493546b6f1b9b
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* Added ElementwiseUnary support with a mapping for Rsqrt
* Added unittests
* Added Rsqrt EndtoEnd tests for all backends
* Changed TosaRefLayerSupport to default to false on unsupported layers
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I3eaa9c684647ead61520a563815581aa68bee51b
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* Call Reshape EndToEnd test from 3 backends
* Tidy up some naming of tests.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I5546af35e89d352d3f1529368518aecc0a4a534b
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* Required to enable easier future merging and rebase into experimental/GpuFsa
as part of IVGCVSW-7380.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I066dcf00523ff430a0908666e452548ab848bd86
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* GpuAcc only supports up to 3D, so no 4D test have been added
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ie926cd45c350be624cbdc6cb27c89d2d3f60884b
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This reverts commit 21cf67af47a9cebbc10a98184c204fffa3722abd.
Reason for revert: IVGCVSW-7397 Segmentation fault/Bus error in Backends CI job nightly
Change-Id: I563e79700a857f8cf0fce0923a7040aeda29629b
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Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: Ia7d714eb227a96ad9eeb1441afbc83e6ad2bb197
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* Removed weights and bias from Convolution, DepthwiseConv & FullyConnected
layers
* Removed the weight and bias ConstTensorHandles from the QueueDescriptors
* Updated Workloads to take tensors from WorkloadInfo rather than the
QueueDescriptors
* Removed unused RedirectMembersToConstantInputs optimization and tests.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I9ffcdc4a1c0dff725539dd69fc435b700bd98a56
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* Some pemutation vectors were not converted correctly.
* Add Transpose end to end test.
* Comments added with an example to clarify the differences betweeen
Transpose and Permute
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6c0954ca6ce00ef5f2a6f3625abe6f4fd27b5cdf
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one works fine
* Each CLBackend created its own ClContextControlWrapper which invalidated
the OpenCL context's from all CLBackends that were created before that one.
* Now CLBackends will keep a shared_ptr to a ClContextControlWrapper which
more closely matches the functionality within ACL.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I0744c2cb6a2f0d6b0c5fa54d786f88cf97775559
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- Remove Bf16ToFp32 Conversion Layer
- Remove Fp32ToBf16 Conversion Layer
- Remove B16 Conversion tests
* Throw exception if m_ReduceFp32ToBf16 optimzer option is set to true
* Provide comments to enable fast math in order to use bf16
* Update docs to inform users to enable fast math for bf16
Execute Network Changes
* Require bf16_turbo_mode to also have fast_math_enabled set to true
- Remove setting m_ReduceFp32ToBf16 optimizer option
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ibaa6da9d29c96a1ce32ff5196b0847fde9f04a1c
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Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I17823fb8b6bbabc4da327187167ce9582ee29b32
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* Create Simple Addition EndtoEnd test
* Create EndToEndTest file in TosaRef/test directory
* Add AdditionEndToEnd test to CpuRef,CpuAcc,GpuAcc,TosaRef
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ic44e2b457c25dcb41bb3b17c05cce0e74bf17a80
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* Some CL kernels are not run after the first inference and this breaks
the profiler which is expecting a measurement for every kernel each run
* Add a function HasKernelMeasurements() to ascertain if the Event is
returning kernel measurements and if so insert 0.0 values for any missing
kernel measurements.
* Fix ExecuteNetwork to only print a json object after all inferences
have completed
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I99f2bb0db847f5a52ab4c5705b072155c6b6f333
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Signed-off-by: Jim Flynn <jim.flynn@arm.com>
Change-Id: I3a3aab7b5042349cb2df8517678306665e037610
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* Added case for Bf16 to switch and changed Assertion to Exception
so it shows up in Release build.
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I817260dc7b7667386c4aa734bea649383866a785
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* Originated from a GitHub issue: https://github.com/ARM-software/armnn/issues/667
* Initially, Arm NN supports the pool 2D operation because there is no padding
on the pool2d. Neon failure occurs when padding is followed by average pool 2D
due to folding optimization.
* Here we prevent the folding optimization from happening for the above special case
and add it in as a backend specific optimization.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ia0fd90c3a6b4b9d29c81106f154617d2e893e26b
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* Refactor backend capability checks in LoadedNetwork.
* ImportInputs should check the number of tensors does not exceed the
number of inputs.
* In EnqueueWorkload the check for for the count of input tensors
was ignoring pre-imported inputs.
* Added checks to verify ImportInputs/ImportOutputs worked as expected
in EndToEndTestImpl.
* Improve documentation on ImportInputs/ImportOutputs in IRuntime.hpp.
* Disabled import tests in CL and Neon EndToEndTests that cannot work.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: Iae4b2644a1c9f01ee72bce1afb211661cc9ae2e3
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* Enabled import host memory in SL as default
* Updated import host memory functionality in GpuAcc
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I22132b1e1008159b0e7247219762e3e9ae5eba10
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This reverts commit a0f8b15d4ddb5075f380003ff31b271d389d3b66.
Reason for revert: <Test ClDmaBufInternalTests review >
Change-Id: Ibc4a77fa008643849da7330391942e4c87b941e2
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This reverts commit 03bf98a8bc51ad20eef4b9ca5fbf6ce15e063721.
Reason for revert: Caused failures in tests located in internal repo.
Change-Id: If35cb0ede349b270e4e7827324382e09455d8cfa
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Only one bool is used to indicate whether inputs should be imported.
However, its possible for the user to want to import inputs but not
export outputs. In addition it's possible for a user to enabled import
during optimize but then pass a memory source that does not require
import.
* Add m_ExportEnabled to INetwork.hpp.
* Modify Network::dNetwork to consider both m_ImportEnabled
and m_ExportEnabled.
* Add ValidateSourcesMatchOptimizedNetwork to LoadedNetwork to validate
import options between optimize and network load.
* Update the TfLite delegate consider exportEnabled flag in the
optimizer.
!armnn-internal-tests:425350
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I776eab81595898e43f91ab40306962eae61329f4
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