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!android-nn-driver:428
Change-Id: I42e59ad96d2c80f46b085182855d34b710a74dfe
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* Added CLMaximumWorkload implementation
* Added CL unit tests
Change-Id: I922c83fe25d17be21a5d0f4e861038463cb09789
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* Added the Greater operation as an element-wise workload
* Added the unit tests
Change-Id: Ie00ee30e47a5f5e17a728032eeb11a085d06c8f2
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* Add reference equal workload
* Add Reference Workload Unit Test
Change-Id: If2848e7dde4248566b99d91726d08143c40ff80d
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* Added ACl Implementation to ArmNN
* Added helper function for setting CL Strided Slice arguments
Change-Id: Ie10d387fdb054027ea9b8782743d270bb72949c1
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Equal operation
* Add QueueDescriptor in WorkloadData.hpp
* Add CreateEqual function in WorkloadFactory.hpp
* Added stub implementation of the CreateEqual function in RefWorkloadFactory,
NeonWorkloadFactory and ClWorkloadFactory
Change-Id: Iec6dc2f989c67fa6f0c32cfb93508995c8580783
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Greater operation
* Added QueueDescriptor in WorkloadData.hpp
* Added CreateGreater function in WorkloadFactory.hpp
* Added stub implementation of the CreateGreater function in RefWorkloadFactory,
NeonWorkloadFactory and ClWorkloadFactory
* Added GreaterLayer stub implementation
* Renamed ArithmeticBaseLayer to ElementwiseBaseLayer
Change-Id: I7e38c2936de905da921a92ba3f918478169ec7f5
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Change-Id: I0d69a72df9e348cbeca690926485c050499d1051
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Change-Id: I5455b720565248ff94278e76887d63f8434a7b58
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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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Change-Id: Icc1de9b69d7bb74b6bf5a6a6f315cf07fe2c5223
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Enabled subtraction broadcasting tests for CL/NEON
Enabled Uint8 subtraction tests for CL
Change-Id: Id36c1530f967c77f5633616e8f491cac9547724b
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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: I9bc46e17e11d73ee1a3bc4f9ec07d46be77fcbcb
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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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* 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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* 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: 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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implementations
Change-Id: I906dcb8b4c9b491bf3a661f208c09d0ea1c0fa35
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Change-Id: Idc0f94590566ac362f7e1d1999361d025cc2f67a
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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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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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* 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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Change-Id: I48242425c6a6856e13ebcee1b140cbd2af94a3aa
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This reverts commit d4dfa684941a21314b70593d01b0fc2167eebad4.
Change-Id: Id61ce69215505c3cf5d30ec2a7ec9127fb2554fc
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DataLayout (3*3 Optimization)
Change-Id: Icfc137201c52e2c856076b7795572cc4ba75cc95
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Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
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implementations
Change-Id: Ibd457f3a2d4342c4d6335bd3c471282a14ab6b14
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* Modifies ResizeBilinear unit tests to use 2-Channel
tensor shapes for input and output data, to improve
test coverage when exercising NHWC data layout.
* Refactors unit tests to permute input and output
data when exercising NHWC data layout.
Change-Id: Ib7fb438cac23e78ff0104c895c3b7596bf7c3aa7
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Change-Id: Ibaa0b909680a6f2a155e4ca6fa24e1144d6e6e73
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Change-Id: Ib0568024b4f43ae17e6c75ac35d31cf103ce3482
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* Fixes bug when calcuating indexes for NHWC in
Pooling2D CpuRef implementation, it now uses
TensorBufferArrayView.
* Adds 2-Channel unit tests for Pooling2d on CpuRef,
Cl and Neon. The single channel tests were not
properly exercising Pooling2d using NHWC data layout.
* Refactors Pooling2D NHWC tests so that the input and
output data are permuted to NHWC when necessary,
instead of hard coding the data in NHWC format.
Change-Id: I5b9d41ed425ff283ea8c8ef6b1266ae0bc80f43b
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Change-Id: I1bc8d2f270d4abfaa62e4843b8d96bcf462c6b09
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* Calculate index for NHWC to compute Convolution
* add more unit test for NHWC
Change-Id: I800d649b9b42be2758c445e3b3e76142888c1377
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Change-Id: Ice19d3f763298bc14585267df389e99df846320d
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* Added a defaulted DataLayoutIndexed argument to the SimpleConvolution2dTestImpl
* Permute test data tensors just before use if necessary
* Add DataLayout to descriptor
* Added a DataLayoutIndexed argument to SimpleConvolution2d3x5TestCommon
* Added NHWC versions of the SimpleConvolution2d3x5Test for Neon and CL
Change-Id: I10e3ece42a50108baeabe4d8b0f0ac3e6d532261
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from src/armnnUtils/ParserPrototxtFixture.hpp
Change-Id: Ief836fb80c4c966f1b76c9429d4a7fb644ceb73d
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the unit tests
* Created the ClFloatWorkload class
* Added ClMeanValidate validation function
* Added helper function to convert the reduction axes from the ArmNN
format to ACL's
* Added workload tests
* Added some unit tests
* These changes need the CL pin to be pointing at least to revision
88d871028eeae57f9e4536d0329110eccb5e2890 (COMPMID-1574 Implement
ReduceMean in OpenCL)
!android-nn-driver:155033
Change-Id: I694fd36be0458c90e158172afde045fcc88c32ae
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