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This reverts commit a0f8b15d4ddb5075f380003ff31b271d389d3b66.
Reason for revert: <Test ClDmaBufInternalTests review >
Change-Id: Ibc4a77fa008643849da7330391942e4c87b941e2
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This reverts commit 03bf98a8bc51ad20eef4b9ca5fbf6ce15e063721.
Reason for revert: Caused failures in tests located in internal repo.
Change-Id: If35cb0ede349b270e4e7827324382e09455d8cfa
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Only one bool is used to indicate whether inputs should be imported.
However, its possible for the user to want to import inputs but not
export outputs. In addition it's possible for a user to enabled import
during optimize but then pass a memory source that does not require
import.
* Add m_ExportEnabled to INetwork.hpp.
* Modify Network::dNetwork to consider both m_ImportEnabled
and m_ExportEnabled.
* Add ValidateSourcesMatchOptimizedNetwork to LoadedNetwork to validate
import options between optimize and network load.
* Update the TfLite delegate consider exportEnabled flag in the
optimizer.
!armnn-internal-tests:425350
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I776eab81595898e43f91ab40306962eae61329f4
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* Fix made to experimental/armnn_shim_sl branch also required for armnn master branch.
* TestGenerated/GeneratedTests.Sync/argmax_1 fix.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Idb0324ff59e1ed13caf5f4bf899d1d3220d823d4
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Make some things private that don't need to be public in RefElementwiseWorkload.
Remove non-workload header files from RefWorkloads.hpp - the non-workload header
files are implementation detail of individual workloads, whereas RefWorloads.hpp
should only contain the workload definitions, needed for RefWorkloadFactory.
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: I4c28963a027162a6560e56cf84b6c0063283e48f
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* BackendHelper.cpp IsXXXLayerSupported doesn't get as far as Neon/Cl
Validate functions where arm_compute::Status is returned.
* Conv2d, Depthwise, DilatedDepthwise and FullyConnected
* Tidy up if() -> if ()
* Clean up logic in FullyConnected so that isLayerSupported gets called
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I5da1a882f4a2f55e90aa984b2b9548a847cb3a2d
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* Use new INetwork::AddConvolution2dLayer
instead of deprecated version
* Remove duplicated test in SerlializerTests
* Fix some cosmetics
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I3407815bfdc1cdc01ca0a667b8e4d80d8621783f
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* Add functionality to check for ConstantTensorsAsInputs to GetConstantTensorsByRef
* Reorder optimizations so RedirectMembersToConstantInputs occurs after
Conversion of Constants
* Ensure graph is in topological order after loading in OptimizedNet
* Fixed test to check release of m_LayerOutputs.
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
Change-Id: I7cff50798d7217e8ea0d2f9b153eabd10174a566
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* Support Float16 as input to Dequantize layer
* Add Optimization to substitute Const+Dequantize layers with Const layer
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I58bb7e3871ca480c7b6fca93c4efb2de84e09e64
Signed-off-by: David <david.monahan@arm.com>
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dimensions
* Added allow-expanded-dims to TFLite parser and ArmNN delegate
* If true ArmNN will disregard dimensions with a size of 1 when
validating tensor shapes. Tensor sizes must still match.
* This allows us to support models where tensors have expanded
dimensions (i.e. extra dimensions with a size of 1).
* Fixed bug in Network where it assumed that only the first option
could be ShapeInferenceMethod.
* Fixed bug where m_ShapeInferenceMethod was lost when copying or
moving Graphs.
* Changed Delegate to pass "infer-output-shape", "allow-expanded-dims"
and other BackendOptions through to the Network during construction.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: Ibe7c5ae6597796fc9164cb07bd372bd7f8f8cacf
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* Resolves: IVGCVSW-6952
Signed-off-by: Finn Williams <finn.williams@arm.com>
Change-Id: Ic85bd5267cf94e0ee8461ff4e62b9db3cb80877a
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!android-nn-driver:7477
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ibf633ccccc385bd980934ff829407d21981323ef
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Remove use of std::unary_function and std::binary_function which were
deprecated in C+11.
Signed-off-by: Matthew Bentham <matthew.bentham@arm.com>
Change-Id: I9e4624f570b475595c9e28bdf185ddcc2ddceb2f
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* Update Front-end and Tools.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteDelegate, TfLiteParser and OnnxParser.
* Updated Ref.
* Fixed resulting Neon / CL tests
* Unified optimizers for conv2d ops
* Optimizer Fix - Fp32ToBf16
* Partial implementation for ACL backends to fix VTS failures
!android-nn-driver:7477
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I5fb18877f7ee32643e15a9818945356274bb401b
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* Add IsSupported for Pooling3d
* Add CreateWorkload case for Pooling3d
* Create new NeonPooling3dWorkload header and source files
* Add Pooling3d workload to NeonWorkloads.hpp
* Add float32 tests for Pooling3d workload
* Add Uint8 tests for Cl and NE pooling3d
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ic992e1233d1eb8db52df2c8446183df1c907bc4d
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* IVGCVSW-6940 ConstTensorsAsInput: DepthwiseConvolution2d - Complete Neon and Cl Bug Fix
* Bug fix to enable Cl and Neon Backend Compatibility ConstantTensorsAsInputs
* Updated Cl and Neon FullyConnected workloads to handle constant
weights and bias as inputs rather than reading from member variables.
* Prevent non const weights and biases passing CL and NEON validate
for Depthwise Convolution.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I0f505ff5998a183152f843d0f6cc74327ba920e7
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* Added backend specific optimization & test for CpuAcc and GpuAcc: PermuteDepthwiseConv2dWeights
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I600476b2e9c557a39818a574c1091c9d650b21b1
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* Addressing unresolved comment.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ia70999582670f2b521e9e2c891831618e476024f
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* Fixes Segmentation fault in RefDepthwiseConvolution2d workload
originated by IVGCVSW-6127 ConstTensorsAsInput DepthwiseConvolution2d
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I019377777ae384bcd193ecab7b8cdf8266e79f45
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* Add Unit Tests
* Bug Fix: add Sqrt to Neon and Cl workload factories
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I0db1d813a4e7d15431e87e825e6d14e61f5ffb7d
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I8ba7e56062c285c672dcaa9d13be319eb4f1fca6
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6b1c7c1c499dc93aa58fa9f58b64fb664e8bcc56
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib90bade63cd0437329c690b09cf719a2e2bd06a4
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* Add validate for all layers for GatherNd
* Fix convert policy for Mul
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I0f2bae5107607ba3c02b5546f60dd9623cd95853
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I195957541069cb52cdd2c8aead0e4a34498a6f38
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!android-nn-driver:7418
* Update Front-end and Tools.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteDelegate, TfLiteParser and OnnxParser.
* Change NNDriver to new API.
* Updated Ref.
* Neon and Cl backend partially completed (Backend.cpp files).
* Added dynamic or constant input EndToEnd tests.
* Added ConstantTensorAsInputMemeberVariableRedirect Optimization.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ib18b6c10a093042e165e25237dc04a4c67ba82da
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This reverts commit 38b72e8de898d84a1481e242803da61009719891.
* It is not longer needed as this functionality is cover with the commit:
IVGCVSW-6938 Do not add Floor when FloorDiv is int32 in Tfliteparser
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Iac757cf9b47d2516804dca2efb347cfbd3282f14
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* Changing the test in the delegate to match one of the unit tests
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I553ca266116ba8ee173fc951ab1ffd2b6eed1428
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* Corrected TensorInfo order for IsUnidirectionalSequenceLstmSupported
* outputStateOut TensorInfo is not optional.
* cellStateOut TensorInfo is not optional.
* TensorInfo Order matches other QLSTM/LSTM layers.
* Added missing parameters to UnidirectionalSequenceLstmOperator for
delegate.
* Added quantized UnidirectionalSequenceLstm support to Neon
!android-nn-driver:7457
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I26dde1bb96793dd25eb9081ca5ae5f63752288c4
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6f7cddb2d23c67ae682132d18f98776c074dcb3b
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* Add front end
* Add reference workload
* Add unit tests
* Add EndToEnd test
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I4cebd17b18476df86162e2dda3366c10e80bd2f8
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Change-Id: Ice69c2a22f589f68d302f80500dfe4e514a796d2
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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* Add IsSupported for Pooling3d
* Add CreateWorkload case for Pooling3d
* Create new ClPooling3dWorkload header and source files
* Add Pooling3d workload to ClWorkloads.hpp
* Add tests for Pooling3d workload
* Add Pooling3d build function to ArmComputeTensorUtils
Change-Id: Ia270b0fe809a171ed73af14376de8708b346d500
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I47ab4264f2f5a2209b669da125395b386efa17df
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Change-Id: Icc2f83c5f27f413758fee3e5c1445e9fc44f42c8
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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android-nn-driver do not execute.
* Change to src/backends/cl/workloads/ClLstmFloatWorkload.cpp fix LstmTests_GpuAcc tests.
* Change to src/backends/cl/workloads/ClConvertFp16ToFp32Workload.hpp & ClConvertFp32ToFp16Workload.hpp
fix MeanTests_GpuAcc and Convolution2DTests_1.1 tests.
* Added UnitTests to src/backends/cl/test/ClImportTensorHandleTests.cpp to test import on Convert Layers.
!android-nn-driver:7264
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I0c46dc4b9c54eca8771ab12ed0302b6224606957
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Change-Id: I2368aade38ad3808fab55d8a86cd659d4e95d91e
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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!android-nn-driver:7337
Change-Id: Ide401623829cc99fb9b51e9bbce3482ce706a8dd
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Iba9c260a2177aeb837e3f30ed4ec9db3c368e169
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* Improves performance in ExecuteNetwork when using --cached-network-filepath by using
a combination of mmap and memcpy instead of std::ifstream and reading individual bytes
* Partially solves MLCE-668
Change-Id: Ic772316b399484753f80593c02252bb1a5619157
Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com>
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Change-Id: Ib14fdcca15f40fedc0f992b0fd882458dc58c9ba
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Change-Id: I18b8ca22896567904768170350ee5eb22edd4a22
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Allow reading of an existing params file even when tuning.
Signed-off-by: Stuart Taylor <stuart.taylor@arm.com>
Change-Id: I6c6d9ec60908d644afbb5ff1c55f4a6cacf650d2
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Change-Id: I9c3af46ca02c5685e06657b8af0e4658d71891d4
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ie99fe9786eb5e30585f437d0c6362c73688148db
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* Added End-To-End tests which check that allocated buffers for Cl can be re-used when going from importing to copy and vice-versa
* Change from the first patch: no longer try to align the buffers which are being copied
Signed-off-by: David Monahan <David.Monahan@arm.com>
Change-Id: I2c2153a475ca16e4eb1aaa5a95af3423877651aa
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Change-Id: I87ce3a1306eced9fc347cc383d9c7bc8994f0b0c
Signed-off-by: Jim Flynn <jim.flynn@arm.com>
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data"
This reverts commit ae91a5e058da31e912c0768f516b2ef013c3b39e.
Reason for revert: There is an intermittent failure which may affect the review jobs. If it becomes a problem merge this and ping Dave :)
Change-Id: Ie0d56e4184a525e55cd2ae59042d060bd5609017
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Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: Ib399a5eee9e52882800ec3e02e4173424a7c19b1
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* Added End-To-End tests which check that allocated buffers for Cl can be re-used when going from importing to copy and vice-versa
Signed-off-by: David Monahan <David.Monahan@arm.com>
Change-Id: Id7e4a4bb68ca9ec1b5e978be6286c5f110436df2
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