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path: root/src/backends/cl/workloads/ClDepthwiseConvolutionWorkload.cpp
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2022-01-26IVGCVSW-6685-6686 Modify workloads to extend Neon/Cl BaseWorkloadTeresa Charlin
* Neon workloads to extend NeonBaseWorkload instead of BaseWorkload * Cl workload to extend ClBaseWorkload instead of BaseWorkload Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: I8f39a31a89a8865ac4acf18573ab290d548d2864
2021-12-15IVGCVSW-6626 Promote backend headers in backendCommon to armnn/backendsColm Donelan
Move the following header files from backendsCommon to armnn/backends. * MemCopyWorkload.hpp * TensorHandle.hpp * Workload.hpp * WorkloadData.hpp * WorkloadFactory.hpp Replace them with forwarding headers and a pragma deprecation message. Resolve the deprecation messages in Arm NN code. Signed-off-by: Colm Donelan <colm.donelan@arm.com> Change-Id: I47f116b30f86e478c9057795bc518c391a8ae514
2021-11-01IVGCVSW-6440 Add profiling around CL workload configure callsKevin May
Signed-off-by: Kevin May <kevin.may@arm.com> Change-Id: I7626d5bd82e832d5be6913719a34d76fbd1dbed8
2021-08-10IVGCVSW-6249 Add ProfilingDetails Macros to all workloads in CLKeith Davis
Signed-off-by: Keith Davis <keith.davis@arm.com> Change-Id: I92dd410da7ad633a46d025fdc2b26093041c439b
2021-06-16IVGCVSW-5826 Change weights layout for depthwise to [1,H,W,I*M]Jan Eilers
* This change is necessary because tflite uses a [1,H,W,I*M] format and uses the I*M dimension for per axis quantization. Our previous layout [M,I,H,W] can't handle the correlating quantization scales. * Updates Onnx-, TfLiteParser and TfliteDelegate * Updates the CpuRef, CpuAcc and GpuAcc backends * Adjusts unit tests * Adds test to ensure models with old layout can still be read and executed * Adds conversion function to previous layout [1,H,W,I*M] --> [M,I,H,W] which can be used by backend developers !android-nn-driver:5553 Signed-off-by: Jan Eilers <jan.eilers@arm.com> Change-Id: Ifef23368b8c3702cf315a5838d214f7dc13c0152
2021-05-06IVGCVSW-5815 Generalise ConstCpuTensorHandleJames Conroy
* Generalises ConstCpuTensorHandle and inherited classes by removing 'Cpu' from aliases. * New renamed classes: ConstTensorHandle, TensorHandle, ScopedTensorHandle, PassthroughTensorHandle, ConstPassthroughTensorHandle. Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I1824e0e134202735fb77051f20a7252f161dfe16
2020-12-02IVGCVSW-5482 'Add a ClCompileContext parameter to each ClWorkload Constructor'Sadik Armagan
* Injected CLCompileContext object to each CL workload. Signed-off-by: Sadik Armagan <sadik.armagan@arm.com> Change-Id: I4837dbd3d5b56cf743b3b89c944e3cdf8b11a42a
2020-11-13IVGCVSW-5328-5329 Fuse ActivationMike Kelly
* Added Fused Activation Optimization to both CL and Neon backends. * Added Fused Activation support to all the CL and Neon workloads that support it. * Changed ProfilingTest network to be a Convolution layer followed by an Abs layer rather than an Activation layer. * Added IBackendInternal::OptimizeSubgraphView function that can accept a ModelOptions. * Network will now call OptimizeSubgraphView passing in the ModelOptions. Signed-off-by: Keith Davis <keith.davis@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Change-Id: Ib536ac3cbafc7d9b35c139ad9a65b7735262cd9d
2020-04-06IVGCVSW-4485 Remove Boost assertNarumol Prangnawarat
* Change boost assert to armnn assert * Change include file to armnn assert * Fix ARMNN_ASSERT_MSG issue with multiple conditions * Change BOOST_ASSERT to BOOST_TEST where appropriate * Remove unused include statements Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com> Change-Id: I5d0fa3a37b7c1c921216de68f0073aa34702c9ff
2019-11-14Fix redundancy in call to configure() in ACL DepthwiseConvolution workloadsAron Virginas-Tar
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I8f698c6ec9826ce1188bc43bd59fbf7b83455c1a
2019-11-12IVGCVSW-4051 Update ACL pin to 94e0cf960ea6116eb57fa88d9b951f859b52c602James Conroy
* Add is_initalised() check to CLScheduler in ClContextControl. * Now use CLDepthwiseConvolutionLayer instead of CLDepthwiseConvolutionLayer3x3. * Now use NEDepthwiseConvolutionLayer instead of NEDepthwiseConvolutionLayerOptimized. !android-nn-driver:2212 Signed-off-by: James Conroy <james.conroy@arm.com> Change-Id: I509af65315a4322dc820a5cc1bbd36ed6999b4a7
2019-07-22IVGCVSW-3548 Use BuildArmComputePadStrideInfo() in CL and NEON convolution ↵Aron Virginas-Tar
workloads * Refactoring: use existing utility function for creating arm_compute::PadStrideInfo objects in CL and NEON convolution workloads instead of duplicating code Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Id5e5a0f264e20af99dabce8dd8c6b782dedb94e6
2019-05-13MLCE-101: Adding dilation support in conv and dconvPablo Tello
Added support for dilation in DepthwiseConvolution2d in the Neon and CL backends. Change-Id: Ie1522b498c07f80d6efcf9dc79e926c8cfa06ca5 Signed-off-by: Pablo Tello <pablo.tello@arm.com>
2019-04-10IVGCVSW-2947 Remove boost dependency from include/TypesUtils.hppAron Virginas-Tar
!android-nn-driver:968 Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: I03ccb4842b060a9893567542bfcadc180bbc7311
2019-01-04MLCE-77 Depthwise Convolution with depth multiplier > 1 doesn't workMatteo Martincigh
* 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
2018-11-05IVGCVSW-2113: Update ClDepthWiseConvolutionWOrkload to suit NCHW/NHWC ↵saoste01
DataLayout (3*3 Optimization) Change-Id: Icfc137201c52e2c856076b7795572cc4ba75cc95
2018-11-02IVGCVSW-1946: Remove armnn/src from the include pathsAron Virginas-Tar
Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
2018-10-22IVGCVSW-1955: Unify backend exceptions (wrap cl::Error)Aron Virginas-Tar
* 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
2018-10-22IVGCVSW-1922 Unit test for DepthwiseConvolution with NHWCNikhil Raj
Change-Id: I3e6e5b9a62f30d03c05bd7178adea8f4c8275da8
2018-10-10IVGCVSW-1951 Remove type templating from ClDepthwiseConvolutionWorkloadMatthew Bentham
Change-Id: I8bc11c93759605e21cc52f44d032c32a0be63658
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