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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I9f0acb71c4859116f57266637a35584278937ef9
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I7ab32f2998c2bc25fee8831d4be724286263b4b3
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* Move MemCopyTestImpl.hpp from src/backends/aclCommon/test/ to
include/armnnTestutils.
* Refactor MemCopyTests in aclCommon, cl and Neon.
* Introduce RefMemCopyTests to exercise this utility in x86 builds.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I8824f013d3656658ed0a2904bb79384e3af68641
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Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I45fb3f06533b031dd4e65b91561b699555e072b4
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* Added PADV2 support to TFLite Parser
* Added PADV2 unit tests
* Updated Parser Docs
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I06ea9a6ceddc38cdb89204c019432257d3f58e4c
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* ReadStringToBinary was using ARMNN_ASSERT_MSG which is hiding unit
test errors in release builds.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: Ib5d6846525a3a1191f85004c7985773917a1f609
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subgraph #0 error: Operator not supported
* Added missing support for reshape operator in tflite parser when
the target shape is dynamic and batch size is unknown
* Added corresponding unit test
Change-Id: I35e159c9c70440168c6092d2ad02828bb2b81cd9
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
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* Created include/armnnTestUtils directory
* Moved Arm NN test utils files into armnnTestUtils directory
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I03ac54c645c41c52650c4c03b6a58fb1481fef5d
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subgraph #0 error: Operator not supported"
This reverts commit 9fc259682c8b85af58bda42e87703bbec5ae57ce.
Fixes: IVGCVSW-6644 ExecuteNetwork tests failing with invalid input shape in Reshape layer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I561e0bd9ed1b92491cb8a08635042e199dd661d8
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error: Operator not supported
* Added missing support for reshape operator in tflite parser when the target shape is dynamic and batch size is unknown
* Added corresponding unit test
Change-Id: I78f4b386f2e5e0d08ecacde17e33e304f6afbb70
Signed-off-by: Tamas Nyiri <tamas.nyiri@arm.com>
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* The TfLiteparser was returning non const TensorInfo's for input tensor
BindingPointInfo.
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I20942aaef3afe7c91cf19fc3c007bec35828e69e
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!android-nn-driver:6532
!armnn-internal-tests:372451
* Made fix to 2 out of 3 ConstTensor() constructors in Tensor.hpp to
throw InvalidArgumentException when TensorInfo isConstant parameter
is false.
* Added new ConstTensor() constructor in Tensor.cpp to accept vector<>.data()
using template<typename MemoryType>.
* Fixed runtime->GetOutputTensorInfo()/GetInputTensorInfo() methods and
called submethods to return TensorInfo& rather than TensorInfo.
* Fixed all failing unit tests for CpuRef/CpuAcc/GpuAcc to ensure any
ConstTensor created has it's TensorInfo isConstant set to true.
* Added unit tests in TensorTest.cpp to ensure ConstTensor constructors
throw InvalidArgumentException when TensorInfo isConstat parameter is
false.
* Added unit test to ensure an empty ConstTensor constructor will set
TensorInfo isConatant to true.
* Indentation fixes.
* Fix to arm_tensor.i to add isConstant parameter to TensorInfo
constructor. Added methods IsConstant() and SetConstant().
* Fix to const_tensor.py to throw ValueError when TensorInfo
isConstant is set to false when constructing a ConstTensor.
* Fixed PyArmnn unit tests to set TensorInfo isConstant to
True when ConstTensor is used.
* Added unit tests in test_const_tensor.py to ensure ConstTensor
constructors throw ValueError when TensorInfo isConstat parameter
is false.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I44e440dd0422c366d31bbdbc77ad2b4db0bde148
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Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ia1c97adb401c5381341408ec1e4da287ef2d48fe
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* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteParser.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added Conv3d EndToEnd test.
* Added NCDHW DataLayout and unit tests.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I10cdd354ca5f1c748730f92ffdb36bf810f83c8e
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* Add hash define to Conv3d for backwards compatibility when compiling
with TF 2.3.1
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I70eec3b26430240852938af34b065b32bab91ebe
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* Added CONV_3D operator support.
* Fixed TfLiteParser test issue where QAsymmU8 tests were incorrectly
using the Boolean comparison function.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I9db03b54b6de63f918717af80c5ac5310fe26183
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* Removes deprecated AddLayer, IsLayerSupported functions
* Marks the whole LayerVisitor class as deprecated not just the
constructor. This required to wrap all Accept functions in a
no deprecate macro because the LayerVisitor is used as a parameter in
there
* Removes usage of deprecated LayerVisitor and replaces it
with ExecuteStrategy. This required a few structural changes
in the unit tests
* Adds a default implementation for IStrategy called StrategyBase
* Changes pyarmnn to use non deprecated constructor for
INetworkProperties and adds related unit test
* Marks usage of deprecated code in pyarmnn as deprecated. This
required to extend INetworkProperties to allow backwards compatibility
* Removes deprecated functions from CpuAcc, GpuAcc and Ref backends
Note: This patch breaks compatibility with backends that are not
updated in this patch
!android-nn-driver:6325
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Id13b6f37a74d26eadeda2da1dc92915e725ed5a5
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This code was assuming a gnu-like compiler, which might not always
be the case. This patch adds a if-statement to check, similar to other
code in the CMake files.
Change-Id: I1c807b68b15365241c4d349c42c612145ad9a105
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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Change-Id: I292add699b2af32fab87b98929fe6fee79fdf356
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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This reverts commit fc8d434bb318aebb433a2f6d8ce9c066cd9c1b1e.
Reason for revert: Causes failures in the armv8 builds need to back out and fix again later
Change-Id: I5ccdbb622caaa6413de41e1ee073f38dcabff7d8
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* Added support for size of -1
A size of -1 is treated as size = dimension - begin
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I4e381a3794852ec45be029028e2d29bc87791635
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Change-Id: I4199239228f7d5f4c819a7fe04cca059a830bf1f
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* Tflite parser
* Tflite delegate
* Serializer
* Deserializer
* Ref, CpuAcc and GpuAcc workloads
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I601a9ee1680b372c7955d9a628857d08c3cfd377
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* Added support for LRN to TfLiteParser
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ia34441a4adeecd1f17c65af047d6c207729703ec
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Replace these with a std::vector for portability
Change-Id: Ia6b0dc9360446ef8bba0baa88c61b4c400fcd799
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteDelegate, TfLiteParser and OnnxParser.
* Updated Schema with IsConstant and ConstantTensorsAsInputs.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added dynamic or constant input EndToEnd tests.
!android-nn-driver:5959
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ibf3cf437df1100e4b322b0d303c575c6339f9696
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Change-Id: I6368925a19ee11d67b1b153cf1e7dc64eca11077
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* tflite shape_signatures will now be the preferred way to detect dynamic tensors
* add test utility to the parser that converts a model's tensors to dynamic
* by default tests will run a dynamic version of the model in addition to the original
* fix dynamic shape inference of unpack operator
* reactivate and fix quantize test
* add shape inference to expand dims
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: If11ba19d813cd3590707583dff1e4eb0e6412a1d
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!android-nn-driver:5966
Change-Id: Ice0b4d2872bb0e09bfc0763034a206c3a8f24af4
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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Tests for TfLiteParser are not working
when the expected outputs have boolean type
Signed-off-by: Bruno Goncalves <bruno.slackware@gmail.com>
Change-Id: I16890f82e8e581f53e6e8464668c5adf3374bf2f
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E.g. Equal, NotEqual, Greater, GreaterOrEqual, Less and LessOrEqual
Signed-off-by: Bruno Goncalves <bruno.slackware@gmail.com>
Change-Id: Id56ef3cc19cc5c5daa19354010c9f25766e5fd00
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* Fix type of literals
* Add explicit casts
* #include missing headers
* Replace use of non-standard u_int8_t
* Remove name of unused variables
* Fix DLL export macro - this was broken when some of the exporting headers
were moved to a different library.
Change-Id: Ie569c8df41a077b46c608798f39526352e2aeb3a
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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* Add ExpandDims tests in tfliteparser
* Add support for negative axis to squeeze
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I604c9b4ac6514895e9e3d4d85c2937e797d288e0
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* Add TfLiteParser and delegate support
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Id3219ba7cc7128b5e73de2c7d8d076a40dcce9c5
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* This change is necessary because tflite uses a [1,H,W,I*M] format
and uses the I*M dimension for per axis quantization. Our previous
layout [M,I,H,W] can't handle the correlating quantization scales.
* Updates Onnx-, TfLiteParser and TfliteDelegate
* Updates the CpuRef, CpuAcc and GpuAcc backends
* Adjusts unit tests
* Adds test to ensure models with old layout can still be read and
executed
* Adds conversion function to previous layout [1,H,W,I*M] --> [M,I,H,W]
which can be used by backend developers
!android-nn-driver:5553
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ifef23368b8c3702cf315a5838d214f7dc13c0152
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* Used doctest in ArmNN unit tests
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ia9cf5fc72775878885c5f864abf2c56b3a935f1a
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* Replaced all instances of boost::multi_array with flat vectors.
* Updated LayerTestResult struct with new member variables.
* Updated CompareTensor function to compare flat vectors and the shape.
* Removed MakeTensor function from TensorHelpers.hpp.
* Removed GetTensorShapeAsArray function from LayerTestResult.hpp.
* Removed boost::array usage.
* Removed boost::extents usages.
* Removed boost::random usages.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iccde9d6640b534940292ff048fb80c00b38c4743
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I29793ece7b6bfc015c643be3ed16529ab50f0d7d
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I982ecd66ea3ed4d88934cd8254832eecb4a7adb4
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Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I3dedcc86efe1a67c709d9da636953e2fc400107b
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* Adding a basic PredicateResult class to replace
boost::test_tools::predicate_result
* Replacing all uses of boost::test_tools::predicate_result with
the new armnn::PredicateResult class
* Replacing use of boost::test_tools::output_test_stream output
with std::ostringstream in ProfilerTests.cpp
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: I75cdbbff98d984e26e4a50c125386b2988516fad
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* with Conv2D for tflite parser and delegate
* with TransposeConv for tflite parser
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I8d1ed1f3388c6eace436d0e6fd5869451c6e7830
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* Fix bug in stack layer which causes some models to seg fault.
* Turn off bias input data if data location in TfLite file is set
to -1.
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: I0db8cfe04874979382edcf2bed336339700e3538
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* Removed check in TfLiteParser and Delegate that requires both weights
and biases to be constant or non-constant simultaneously
* Updated TfLiteParser FullyConnected layer test to properly use
non-constant weights
* MobileBERT Float32 model now runs on TfLiteParser
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: I1d75eea466caa90cd695ad353160362df2f69483
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* Reading tensor infos won't allow a permutation vector anymore.
The permutation only changed the quantization dimension not the
shape and was therefore misleading
* The permutation of the full tensor info is now performed in
armnnUtils::Permuted
* Changed TfLite Parser depthwise parsing function
* Added unit tests to TfLite Parser with more random data
* Changed TfLite Delegate depthwise parsing function
* Added unit test to the delegate with per channel quantization
!android-nn-driver:5412
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I1f985ee69547bcaf16a72201e00a6b6fe1ef9a97
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* Updated ParseSplit TfLiteParser function to read correct axis data.
* Improved validation in ParseSplit and ParseSplitV function.
* Added TensorFlow BOOL support to TfLiteParser.
* Added supported ElementWiseUnary operators to TfLiteParser
E.g. ABS, LOGICAL_NOT and RSQRT.
* Removed ParseExp and ParseNeg function implementation in favour
of reusable ParseElementWiseUnary function.
* Removed Exp.cpp and Neg.cpp files and moved tests to ElementWiseUnary.cpp.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ibce36e3ce4d95755dda88abc2ddde1e07e62c5e2
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IVGCVSW-5415 Add TfLiteParser support for CAST
* Added front end support for CAST, including support in the
Reference workload, Serialization, Deserializtion, Unit tests, and
TfLiteParser.
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: Iaf670ca5912a21ed6bc84f7f83a68b42154846bb
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* Fix for GitHub#523.
* Updated ParseArgMinMax function to read correct axis data.
* Improved validation in ParseArgMinMax function.
* Added ARG_MIN support to TfLiteParser.
* Added ArgMinMax unit tests for TfLiteParser.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib4ce1a7c66e210c47859a130c4896aac958f2654
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* Added support for Signed64 to flatbuffer's schema & updated source tree
* Added support for Signed64 to TFLite Delegate
* Added support for Signed64 to Serializer
* Added support for Signed64 to Deserializer
* Added unit test for ArgMinMax to Deserializer
* Deprecated m_Output_Type from the ArgMinMaxDescriptor: the output type
is solely determined by the DataType of the output Tensor
* Fixed issue where RefArgMinMaxWorkload could output data using
the wrong DataType
* Added Signed64 to RefLayerSupport::IsArgMinMaxSupported as a supported
type
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ib622c052a1f8aa3e658262f8bde5a6881a8cbe10
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Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ie51ce20540e5e7a704ce2b4be4e8cf64f91ea990
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