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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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* 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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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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BatchToSpaceNdLayer.
* added Unit test
Change-Id: I80f55e8c7afb39d96006c8dd027fc9683ea8182e
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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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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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This reverts commit d4dfa684941a21314b70593d01b0fc2167eebad4.
Change-Id: Id61ce69215505c3cf5d30ec2a7ec9127fb2554fc
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Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
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implementations
Change-Id: Ibd457f3a2d4342c4d6335bd3c471282a14ab6b14
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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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shape in ValidateTensorShapesFromInputs
* Convolution2dLayer
* DepthwiseConvolution2dLayer
* Pooling2dLayer
* ResizeBilinearLayer
* Unittests for ValidateTensorShapesFromInputs
Change-Id: I057caf8a90d822175a7dd7271f960b65c6154bb4
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Change-Id: Iae9a76b10d84d7ba80136b54355f8d37d2df475d
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Change-Id: Ice19d3f763298bc14585267df389e99df846320d
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Change-Id: I6e39f1e1bc32c0c2c1953da00016edd68c48d4e0
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Change-Id: I279986b83c7a38b6d395f8a496382ffaebb9ed08
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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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Change-Id: I45fd5b6dd32c435b78a54dc377a623e60978ce13
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Change-Id: I44a9d26d1a5d876d381aee4c6450af62811d0dbb
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in the network
Change-Id: Ide594db8c79ff67642721d8bad47624b88621fbd
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Change-Id: I62b34713f8ebd96b9d4369f25cc8ba474aad8bb4
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src/armnn/test folder to the backends
* Moved backend-specific memory leak checking tests from RuntimeTests.cpp to
the corresponding backend test folder
Change-Id: I0a7f4ef52c5350c3cebca23b2b4e61a9446ca11f
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Change-Id: Ied3d54dc356f5e4f87aeb59f66423ac1f893dd01
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* Added wrapper function around arm_compute::IFunction::run() that catches
cl::Error and wraps it into an armnn::RuntimeException
* Added MakeWorkload template inside ClWorkloadFactory that catches
cl::Error and wraps it into an armnn::RuntimeException
* Replaced cl::Error with armnn::RuntimeException in catch statements inside
LoadedNetwork
Change-Id: I2340f41ae02b8db1d7ef5157824a50e7410854e3
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Change-Id: Ie7549fd27378acfa97e68d098e338b8c9d4ea5d2
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* Adds implementation to plumb DataLayout parameter
for Pooling2D on CpuRef.
* Adds unit tests to execute Pooling2D on CpuRef
using NHWC data layout.
* Refactors original tests to use DataLayoutIndexed
and removes duplicate code.
Change-Id: Ife7e0861a886cf58a2042e5be20e5b27af4528c9
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Change-Id: I962e986607e5d045cd97b9eaeaea2f5ae624db35
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Change-Id: I76551d511ef718eac36e5b8e5fe426ec3a402855
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ref BatchNormalization
* Added create workload unit tests for the NHWC data layout
Change-Id: I03d66c88dc9b0340302b85012cb0152f0ec6fa72
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ref Normalization
* Added create workload unit tests for the NHWC data layout
Change-Id: Id4813105c027a26e277de64fecea1845fea39fd9
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* because their lifetime is different from backends
Change-Id: I9ba525e7e503b148cde1294933f3954b8bad3d68
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!android-nn-driver:153490
Change-Id: I1c2a5f942e3a1c3626e093c90545ca27c64ba5e8
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Change-Id: Ie1c74a18de5c3dd1cd5285c222bd6327489c1508
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Change-Id: I558a9a007604afc55e536d877f8da7d0215cc9c3
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Change-Id: I3e6e5b9a62f30d03c05bd7178adea8f4c8275da8
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* Adds implementation to plumb DataLayout parameter
for ResizeBilinear on CpuRef.
* Adds unit tests to execute ResizeBilinear on CpuRef
using the NHWC data layout.
* Adds DataLayoutIndexed API, allowing easy access to
the Channels, Height and Width of a tensor based on
its data layout. This reduces code duplication.
* Refactors original ResizeBilinear implementation and
tests to use the DataLayoutIndexed API when required.
Change-Id: Ic2b8916cdd2e370d070175547079d774daf6d7bf
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* because it was added by mistake, assuming it was released in 18.08
which is not the case
Change-Id: I9c288eba56f3f6192007f79db884b255a14456e4
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* Applying the proper tensor shape during the tests depending on
the specific data layout used
Change-Id: I9c6c1e077236e84cecc1e10d7b2d0bd901df3ebd
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Change-Id: I13d2d3dc763e1d05dffddb34472bd4f9e632c776
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Change-Id: I8eca81d2e0780390eaa837c186ffe1c7d41fdebe
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* Now hand in an optional vector of strings to Optimize
function in which errors/warning messages are placed.
* Optimize function changed to check outputs of each
layer. If they are Quantized 8 bit but the scale has
not been set an error message is added for each such output.
* Unit test modelled on defect report added to exercise the fix.
!android-nn-driver:152483
Change-Id: If9901f5324a516f1ab62858266b38f98dae16201
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Change-Id: Ie02ccbd5945cbacd609b3b5d8d746c202c8e9c69
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