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* Parser support and unit tests added for Stack opertor in TfParser
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I243b33fda2762180ef880458e760a54fde64f3d8
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Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I31f25f26a50c9054b5650b1be127c84194b56be7
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* Added new layer named ElementwiseUnary
* Deprecated existing Abs/Rsqrt layer functions
* Updated existing Abs/Rsqrt test infrastructure to use new layer
* Added boilerplate for new Exp,Neg,Sqrt elemwise op layers
* AbsQuantize test removed pending future commit
* Serialization support added
!android-nn-driver:2550
Change-Id: Ic595c645925e17b45db568187fd05646daf2e87f
Signed-off-by: josh minor <josh.minor@arm.com>
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!referencetests:218340
Change-Id: If24a604310d0363b1f09b406e4d53ebfeb106aad
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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Change-Id: Ib00f185b431ab74fd9425d8f478bd2ddb182f74b
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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* Moved the relevant armnnUtils headers to the new location:
include/armnnUtils
* Update the header usage throughout the source code
!android-nn-driver:2387
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
Change-Id: I2ba15cebcacafad2b5a1a7b9c3312ffc585e09d6
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TfParser::ParseFusedBatchNorm()
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I1c6583e4abb43b864dc636f8cdcd9011c763a6fe
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* Added frontend for ComparisonLayer
* Added RefComparisonWorkload
* Deprecated and removed Equal and Greater layers and workloads
* Updated tests to ensure backward compatibility
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Id50c880be1b567c531efff919c0c366d0a71cbe9
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* Move DeepSpeaker, FCRN and FSRCNN from TensorFlowSupport.md
to TensorFlowLiteSupport.md
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I82d508d3599073eb8f6638994a91f46b4b95c247
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Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I3da43122240fda7864e0932d47b3efeea8bbed40
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* Increased MaxNumOfTensorDimensions and fixed issues related to its use
* Fixed issues caused by assuming 5d tensors are invalid
* Updated ArmComputeTensorUtils for 5d tensors
* Added 5d tensor unit tests for add, mul, stack and reshape (needed by IVGCVSW-3527)
Signed-off-by: Matthew Jackson <matthew.jackson@arm.com>
Change-Id: I5bcd64942d0d04efcc6c5acb240ad4b88e010743
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!android-nn-driver:1451
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Ieedbce1f6e95891137a250fdd07e2f7e4e1f4828
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* Add check if Sub-tensors cannot be used, call ACL function
* Add computation of SplitAxis from SplitterDescriptor
* Add NeonSplitterWorkload functions
* Modify IsSplitterSupported to call ACL validate function
if sub-tensor cannot be used
* Also check if quantization parameters match when using sub-tensors
* Add more unit tests for Splitter in TfParser and TfLiteParser
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I31e4c7d055117c83c65b598c4125442173242226
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* Used the new ARMNN_DEPRECATED_MSG macro instead of @deprecated
* Refactored the code to no longer use the deprecated methods where
applicable
!android-nn-driver:1126
Change-Id: Ib0578d3d6fc5a763f5fb922f67ba91fafc7796f6
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
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!android-nn-driver:1120
Change-Id: I5192fa3deb4ea9766d38ad0bf4dfbfa0b4924c41
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Change-Id: I3deb2b9a37e8a8f8f2ed93c64ed0656ae911e24c
Signed-off-by: Jim Flynn <jim.flynn@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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* Add check to ensure requested input node exists
otherwise give coherent error message
Change-Id: Ifee5f1d459f989c2e808cf78806f9a9a7f7c763f
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
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Change-Id: I5de0e0a2de9241498213d274a6bf2a62ba7da7cc
Signed-off-by: Saoirse Stewart <saoirse.stewart@arm.com>
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Change-Id: I8b081012529aed8e434273259c5a5ef7dc3afff7
Signed-off-by: Finn Williams <finn.williams@arm.com>
Signed-off-by: Saoirse Stewart <saoirse.stewart@arm.com>
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*Also update related Support.md files
Change-Id: If832980fdebb136ab02333d99512fd39b9093b2b
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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* Also fixed a format issue in TfParser.hpp
Change-Id: I5b0ae1d5909f03e166a40d3aca8859024cd5e5b6
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Layer
*Output shape was incorrectly set for case when the 2 inputs have same
number of dimensions and each dimension has different (but broadcast
compatible) size
Change-Id: Ia617442b2b7f962c33792b94035236d26de70558
Signed-off-by: Nattapat Chaimanowong <nattapat.chaimanowong@arm.com>
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Change-Id: Ieb99ac1aa347cee4b28b831753855c4614220648
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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 ParseGather to TFParser
* Add Unit tests for Gather Operator
!armnn:562
Change-Id: Idff45c2d3d8d683aa9eb2c4a63123c8d6054609e
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Change-Id: Ia0019134f76764cd4fe6ed9dc1423b8aba411d33
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Change-Id: I7359617a307b9abb4c30b3d5f2364dc6d0f828f0
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* Update TensorFlowSupport.md
Change-Id: I6fb7f4a4b32397901e0c8b44477a8238879e5917
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Change-Id: I3d31d6b72be1984acdb51fd9e7b5488a7aa5d832
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Change-Id: I7c7b65bd77b06925efdaf2c9c98c30994a12de42
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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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* Added Unit test
* Updated TensorFlowSupport.md file
Change-Id: I5f07de5e91ffb681c0ad17c7c73ee0326e7f1e0a
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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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* Allow control inputs from TensorFlow graph but ignore them in ArmNN graph.
* Add utility function to test ArmNN graph structure.
* Add ArmNN graph structure tests in TensorFlow paresr to ensure that control inputs
are ignored in ArmNN graph as well as their inputs that are not used anywhere else.
Change-Id: Ib0ea0d2df85e3fc79b748fa4c9d20e0649352bc1
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* Unit tests in AddN.cpp
Change-Id: Ifb2fa1051d5d92c5d9a5ca751abee4e81ebe39c9
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* Unit tests in Greater.cpp
Change-Id: Ifb3e4c33be2d6235e33889bb63e6abd78bd7d8b6
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* Unit tests in Equal.cpp
* Fixed error in Network::AddEqualLayer
* Refactored TfParser::Minimum/Equal to get rid of duplicate code
Change-Id: I0ed6f888eb391c995b88be20dc0c1b916dd14c3c
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Change-Id: I9f9852766e4c51151d6ccf34976c4860a83dfe5c
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Change-Id: I72d94fff4cdad2c62dff98c8fd52eba78a1908f0
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* Removed the input swizzling when the concatenation dimension is 3
in ParseConcat in the TF parser
* No longer using the helper ProcessConcatInputTensorInfo, where
the input was being swizzled if the concatenation dimension was 3
* Added a new convenience constuctor to TensorShape that initializes
a shape to all zeros given only the number of dimensions
Change-Id: I82a207e41bddc5fea21a0b5a38eafa24ad75d1c2
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* Also added unit test Sub.cpp
Change-Id: I6d23c11ae894ee433cd28ffdf0248b14e01b0131
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Change-Id: I0d02faf188f441f017967057f16f4661d321978a
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* Remove input swizzling from ParsePooling2D and add parameterized
tests for NCHW, NHWC and Padding="SAME".
Change-Id: I4786fcc31b6ac46bf19d887f007963eb924f0f9f
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* Fix for a signedness error in Android 32 builds
Change-Id: Id909ee2d50f376782de3b80aaef503e08f6d1268
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Change-Id: If5ef3dc426bd6fa5aab342dcece6e99f86e65dba
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* Removed the input swizzling when the data layout is NHWC
* Split the unit test into NHWC and NCHW cases
Change-Id: I6b9fef70bc4ba5e01d14cbfaea3c842a289b0a0e
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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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* Add ExpandDims operation to TfParser.cpp
Change-Id: Ifa756ae0667c11e3b6daec8f6dd4e54cac88d16a
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* Also added unit test armnnTfParser/test/Pad.cpp
* Added missing 'Pad' entry to GetLayerTypeAsCString(LayerType)
* Fixed the RefLayerSupport.IsPadSupported, now it returns true
* Small fix in Optimize. Only resolve stringstream to string once
Change-Id: Ieaa1886858a48cd761ac5f30454f73e44bdd4b8f
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