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* WorkloadFactory.hpp CreateXXXWorkload replaced with CreateWorkload
accepting LayerType for ABI stability.
* These effect ref neon cl and mock backends
* Also removed small deprecation comment in Optimization Views
* Fixed ABI Version Issue
Signed-off-by: Cian McGriskin <cian.mcgriskin@arm.com>
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: Id37af2f882fc9d12b8c779de6b714013af866028
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* ILayerSupport interface - removed unstable virtual functions.
* User instead uses IsLayerSupported accepting LayerType enum argument.
* Backend developers should implement the ILayerSupport::IsLayerSupported
method accepting LayerType as a switch statement with case being
LayerType and each case calling their implementation of IsXXXSupported()
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: Iaaead8320bb1b2f1bdab6b5be2e1e69d0eb482d5
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Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I6686ad0a16ef763dbdc771c7ef792ae2890e0ab2
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* Check if preferred backends have FP16 support before enable fp16-turbo-mode
* Unit tests
* Replaced global gpuAccCapabilities with getter method construction
* Replaced deprecated function call in SL shim
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: If29b62b330ca8987de8acf6408db11daf25ca0b5
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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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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I9464970b0aa363f6ac3e0cb42ccb2bb3c8724ca4
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* Added Implementation of the Tile Operator Workload to Neon
* Added calls to the existing unittests
* Added Documentation
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I0030ffe514215c79f5629d20671254dde9bec452
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* On Neon we cannot remove a Reshape if it's connected to a
SplitterLayer.
* Removed clause 5 in SplitterLayer which could erroneously prevent
the use of Subtensors in certain circumstances.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I437eb5d3ede25329a4d11d12c3fb1aec2e76efb6
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
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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
NeonDepthwiseConvolution. We will block it for the moment.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: Ifd206cfd25a2305a80f8b0a88e07747e79468d18
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* There's currently a problem with using a non const bias value in
NeonConvolution2d. We will block it for the moment.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: Ia020cf48f7d5e0642f7763e82501f06ad89945d8
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* Added check to ensure that Reshapes are not removed on Neon if they are
before or after a SplitterLayer and have more than 4 dimensions.
* Moved NCHW check to a function to reduce clutter.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I45d97634484e8dc0ca7675c23481caf84eb3fe90
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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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* Dynamic bias are supported by CpuAcc for this layer
* Indentation and const modifiers minor changes
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I3b25f14feea55f746c254a832d97e21a1551ca36
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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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* Pass to ACL the flag for constant weights and bias in FC, conv and DWconv workloads
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Iae2810c8d1a402d4afc1e757846665315a80d3ea
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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: I992ae9aae1174214607bf29305f21cdeaf3fdc1b
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NECast can use conversion instructions where they are available
so this should in general be faster.
Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
Change-Id: I3f259e17b280a4f4c36f363965ffbc8ee8c4c29f
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Signed-off-by: Matthew Bentham <Matthew.Bentham@arm.com>
Change-Id: I501a3e01932d44eca796e93a9383378dafc758c5
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* Arm NN does not account for int8 or uint8 not quantized types, Tensorflow does.
Not quantized int8 and uint8 is the same as quantized int8 and uint8 with scale = 1.0 and offset= 0
Default offset/zero_point was already 0, this review sets the default scale to 1.0.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ibc3eecc281de516c2cc706e17bde01c64ff9556e
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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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This reverts commit 52e90bf59ecbe90d33368d8fc1fd120f07658aaf.
Change-Id: I5a0d244593d8e760ee7ba0c9d38c02377e1bdc24
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I74a93b1e2e5c9f12ce4523df3f21e5c0967fddfb
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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 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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android-nn-driver.
* Not a concern with the delegate/parser as tflite builtin operators have
little float16 support
* Will also fix float16 workloads running on the support_library.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Iec2033dbc8ece2140b188de1f193c344a68b9c36
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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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- 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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* 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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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6a541db9a602609282cc6f33af930ca141b83c41
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I2def6995f81d33e68f1ea45d8d19a1e6294049b1
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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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