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* Enable Maximum workload
Change-Id: I5f7786ff66f135f0c74935dbf5861e5a4239bcc8
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* Changed NeonL2Normalisation to use NEL2NormalizeLayer to
normalise along the channel axis in either NCHW or NHWC format
Change-Id: Ibaf119b6a3de3c0f80f94b1c5fe9a356cf1fbd0e
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Change-Id: Id7302c6b1df995ebe6eb8eb94bab38bee1b31b0b
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Change-Id: I03fa374fd9692d98257de709f8c3ad0a49c88b95
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workloads and workload functions
Change-Id: I6f3fce12a55f7d38ceafcdfcd6b5181bf56e2c09
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Change-Id: I8964f5e8978c2d2a07734a381e3f7c656c22456a
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Change-Id: Ic772acf481caed6e8a6b99f68a63dfc2a34c24dc
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Includes a temporary workaround for COMPMID-1813
Change-Id: I3e5217281be072d5b61788ab8a75e818bbc5d247
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Change-Id: Ifeacc0adb4547c72537b9ea7a61bf3c4ec3673fa
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Change-Id: I40acb42360bfcda09485efb2a54144d8e35bdafb
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Change-Id: Icc1de9b69d7bb74b6bf5a6a6f315cf07fe2c5223
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Change-Id: I26fb13717f64c942b2648702c52be18be856042d
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Change-Id: Ifa88a879dd239f60ab27330d6b73859393828ef0
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Enabled subtraction broadcasting tests for CL/NEON
Enabled Uint8 subtraction tests for CL
Change-Id: Id36c1530f967c77f5633616e8f491cac9547724b
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Change-Id: I3a6077ad9ded9002aea9c888daab68b6452bd235
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* Add CommonTestUtils
* Add end to end layer test implementation
* Add example usage for Merger layer on Ref, Cl, Neon
Change-Id: I8931136288cd68b80bcdad8f5ae087ae1a70a60a
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This is one of the reasons why the tests in https://review.mlplatform.org/#/c/ml/armnn/+/237/
are failing (but not the only reason).
Change-Id: If485bade2a6dd013cba826cec71d748fc7747249
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Change-Id: I55e27c50953c5e3f0b43bcd7aa8643015480181d
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* helper methods for creating TensorShape and TensorInfo objects
Change-Id: I371fc7aea08ca6bbb9c205a143ce36e8353a1c48
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Change-Id: I9bc46e17e11d73ee1a3bc4f9ec07d46be77fcbcb
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* Fixed unsigned to signed conversion error that was
breaking master
Change-Id: I08d79d9bf131eb46ea0495371160698ab59c1721
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Change-Id: If8d8087d9d365e467d3ca9bf9c40d7219cb75cfd
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* Add LayerTests
* Add WorkloadTests
!android-nn-driver:166
Change-Id: I903461002879f60fc9f8ae929f18784e2d9b1fc1
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Change-Id: Iab6ad04e5c786e4e639578f7b1d1537dd1196e2f
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* Add ClMergerWorkload and NeonMergerWorkload to call ACL for innermost concat axis
* Modify layer support to call ClMergerWorkloadValidate and NeonMergerWorkloadValidate when concat axis is inner most
* Add m_ConcatAxis to MergerDescriptor
* Modify MergerQueueDescriptor::Validate to check sub tensor only when using subtensor
!android-nn-driver:166
Change-Id: I56676b43964c8d6d726387b41b3cc34a512c0f0a
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Change-Id: Ib11c3d36c7109198da7266955414580e8fb916b5
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* Remove check for preferDirectConvolution
* Remove IsNeonDirectConvolutionPreferred
* Remove unused tests and functions
Change-Id: I3f0868f41403ec5fa740889e7bdcb4415ad77bda
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* Changed ClL2Normalisation from using CLNormalizationLayer
to use CLL2NormalizeLayer to normalise along the channel axis
in either NCHW or NHWC format.
Change-Id: I399cbee408a277d1ef8c6c85ebcbd86d6c3e407b
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Change-Id: Ie2f134fd51de919c50fa9d8d82bbb4ed4ee46469
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Change-Id: I0b9818c3bc09101aa6563ea8e4a886483d3b09d1
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* Ported Google's LSTM implementation to RefLstmFloat32Workload
* Fixed the code throughout because of an error in the docs around the
scratch buffer size
* Updated IsLstmSupported
* Added the unit tests
!android-nn-driver:127
Change-Id: I5577b7e39ca52df1a7f102a9b437df6aa99520b6
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Change-Id: I812d09a869fe7c45ce71108fb675f3e2d974e2d9
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stable test (memory-wise)
This prevents false-positives when running the tests on Master
Change-Id: I4348378f3689cb3ec98686a93315d2b88bb7bcc7
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implementations
Change-Id: I906dcb8b4c9b491bf3a661f208c09d0ea1c0fa35
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Change-Id: Idc0f94590566ac362f7e1d1999361d025cc2f67a
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Change-Id: Iccc1272e59bd71c59f810a54d6d3742859789212
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* Removed the convertFromTfToArmnnFormat flag from the
CreateConstTensor and CreateConstTensorImpl functions
* Removed the SwizzleInDeswizzleOut function and its invocations
in the ParseConv2D, ParseDepthwiseConv2D and ParsePool functions.
Change-Id: Id935e28ab6eff4731f838af9490d016e108f6df6
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* adding missing include <functional> into BackendRegistry.hpp
Change-Id: I7a4ba867a856c90a3099a782ff41b8a5fb9a9efb
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BatchToSpaceNdLayer.
* added Unit test
Change-Id: I80f55e8c7afb39d96006c8dd027fc9683ea8182e
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* L2Normalisation Tests now take the layout as an argument.
Change-Id: Ib393889eedb3a81c9a500da91593e90a18549c33
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Change-Id: I93223c8678165cbc3d39f461c36bb8610dc81c05
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* Fixed error in InferOutputShape implementation
* Added better error checking to the BatchToSpace implementation.
* Added defaults to the batchToSpace descriptors.
* Changed crops to be a vector of pairs to align with the SpaceToBatch implementation
Change-Id: Ib1c16d871f0898a1caeb6629c1fee6380a773e14
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Change-Id: I56da4780f8f5fcef7ff01d232d5d61bf299364bf
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Change-Id: I13c6728dbb60643d0e086d171225c5d802987f92
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ACL fix the convolution issue.
Change-Id: If72f6f4e32567bcfa4af13836e411a3199ede010
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Change-Id: Ieec34224b433e1d2f3bbe66632cd6016cac5498c
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Change-Id: I27ffebdece6e68460931a44c15b9b029f9fce638
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* add IBackendContext interface
* add ClBackendContext implementation
Change-Id: I13e4d12b73d4c7775069587675276f7cee7d630b
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* Added quick workaround for the memory management errors in the
CL/Neon unit tests
Change-Id: I56250db462cdbdc1acc0a5824807d288fb0c1d11
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also in IVGCVSW-2019 + IVGCVSW-2005 + IVGCVSW-1987 IVGCVSW-1642
Change-Id: I33809fd2f30aac248ec45f070f717b8dcf5de3cf
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