aboutsummaryrefslogtreecommitdiff
path: root/tests/validation/NEON
AgeCommit message (Collapse)Author
2021-08-13Add test for validating batched-GEMM on CPUGian Marco Iodice
- Add new dataset for batched-GEMM - Add test for running batched-GEMM without bias. Currently bias is not supported in batched-GEMM - Fix reference implementation to slide correctly the RHS tensor Resolves COMPMID-4588 Change-Id: I20fcb5d9160f44292b7cc34570add911b1d732f6 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6040 Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-08-04Implement Operator APIGeorgios Pinitas
Resolves: COMPMID-4512 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: Id12130365fa3fe2261160931dcc7affb6b467186 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6031 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-07-30Reintroduce implementation of NEConvolutionLayer::get_convolution_methodMichele Di Giorgio
Issue caused by the porting of the function to the new API. The method will call down to the new CpuConv2d implementation. Change-Id: I650ad1f17c8b89a637b589e452ca785b5d14e975 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6027 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
2021-07-29Port NEConvolutionLayerMichalis Spyrou
Resolves: COMPMID-4507 Change-Id: I9557026ec0052b5585994f7a1300a14565c976d0 Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5964 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-07-23Port NEFullyConnectedLayer to memory injecting interfaceMichele Di Giorgio
Resolves: COMPMID-4501 Change-Id: Ib61b3d06974009e501b3fb86467735427e13a94a Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5931 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-07-15Port NEGEMMConvolutionLayerManuel Bottini
Details: port NEWeightsReshapeKernel to CpuWeightsReshapeKernel port NEGEMMConvolutionLayer to CpuGEMMConvolutionLayer Resolves: COMPMID-4509 Change-Id: I3c7051e2c3f6d808a7ccb898aad70e5b221b9dc3 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5938 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2021-07-14Increase tolerance for NEMeanStdDevNormalizationGeorgios Pinitas
A reduction step is performed with 2x2 reduction vectors for fp32 that can lead to different results. Increasing the tolerance to accommodate. Resolves: COMPMID-4644 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I53380bbd64e18efdaace9d0e96bb35cbfcea8f04 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5947 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-07-13Add in-place calculation support for CL elementwise arithmetic kernelsSheri Zhang
- Add in-place calculation support in ClArithmeticKernel, ClSaturatedArithmeticKernel and ClMulKernel - Add in-place test cases Resolves: COMPMID-4431 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: Id484bdb76b74478a33fedb471ae0c7f799c599f6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5885 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-07-13Port NEWinogradConvolutionLayerMichalis Spyrou
Rename to CpuWinogradConv2d Allow memory to be injected externally Change-Id: I1f0a26ea533e326a7c63df86e708895c31752a39 Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5926 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2021-07-09Port NECol2ImKernelManuel Bottini
Resolves: COMPMID-4511 Change-Id: Id6335cb23ef22bba02083498025da0ecb1647714 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5898 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-07-08Remove redundant implementations of Add/Sub operatorsGeorgios Pinitas
Allows only implementations where inputs/output are of the same data type and removes legacy Computer Vision ones. Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: Ia2b3d23a04236aab682f0c36a1110a30f7c06d1c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5900 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-07-08Port NEGEMMLowp Part 2Manuel Bottini
Details: Extend NEConvertQuantizedSignednessKernel Port NEGEMMInterleave4x4Kernel to CpuGemmInterleave4x4Kernel Port NEGEMMTranspose1xWKernel to CpuGemmTranspose1xWKernel Port NEGEMMLowpMatrixAReductionKernel to CpuGemmLowpMatrixAReductionKernel Port NEGEMMLowpMatrixBReductionKernel to CpuGemmLowpMatrixBReductionKernel Port NEGEMMLowpOffsetContributionOutputStageKernel to CpuGemmLowpOffsetContributionOutputStageKernel Port NEGEMMLowpOffsetContributionKernel to CpuGemmLowpOffsetContributionKernel Resolves: COMPMID-4403 Change-Id: I3227f052f25e7b41d073bbea1da8a881fcd78b8e Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5875 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2021-07-06Port NEIm2ColKernelManuel Bottini
Resolves: COMPMID-4510 Change-Id: Ia3e588f599449d975dabad4afafb2974dd44d0ad Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5899 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-07-02Port NEGEMM to memory injecting interface (Part 3)Michele Di Giorgio
- Complete porting of NEGEMM to the new API Resolves: COMPMID-4402 Change-Id: I14904102b25332dbb4fc048d45dca068a15b6eca Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5890 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-29Port NEGEMM to memory injecting interface (Part 2)Michele Di Giorgio
- Port NEGEMMMatrixMultiplyKernel to the new API Partially resolves: COMPMID-4402 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Change-Id: I52b67055dc24bb3a417d6ec5aeeee86e21b74320 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5873 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-06-29Port NEGEMM to memory injecting interface (Part 1)Michele Di Giorgio
- Start porting NEGEMM to the new API - Port NEGEMMInterleave4x4Kernel to the new API - Port NEGEMMMatrixAdditionKernel to the new API - Port NEGEMMTranspose1xWKernel to the new API - Remove padding from NEGEMMMatrixAdditionKernel - Remove unused INESimpleKernel and ICPPSimpleKernel Partially resolves: COMPMID-4402 Change-Id: I63edadddfe00a54586e5384d6a0211db25ae9042 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5857 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-25Port NEGEMMConv2d to memory injecting interfaceMichele Di Giorgio
Resolves: COMPMID-4506, COMPMID-4570 Change-Id: I6d37a06da141f1fcfcaa8525322a319cb0234791 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5824 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-22Port NEGEMMLowp Part 1Manuel Bottini
Details: Port NEGEMMLowpQuantizeDownInt32ScaleKernel to CpuGemmLowpQuantizeDownInt32ScaleKernel Port NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel to CpuGemmLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel Port NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel to CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel Port NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel to CpuGemmLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel Port NEGEMMLowpOutputStage functions to CpuGemmLowpOutputStage operators Partially Resolves: COMPMID-4403 Change-Id: I6d5f45e43f35d731d564ed3b5c0e804d2a318fb1 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5833 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-18Fixed DirectConvolutionLayer validation testsPablo Marquez Tello
* Only two out of the nine tests executed due to the missing ActivationLayerInfo * Tests improvements, work related to COMPMID-4322 Change-Id: I4b87d33604351d5e143865c111eda19d1f5e2680 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5810 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-11Fix errata in documentationJakub Sujak
This patch addresses the following errata found in the project documentation: * Common typos. * Missing use of trademarks. * Incomplete operator descriptions. * Examples of code that have since been removed from the library. * Plus clarification over the usage of `All` category for data types and layouts. In addition, the Operator list was not generated properly due to: * Non-matching cases in the filenames (i.e. `Elementwise` and `ElementWise`). For consistency, all usages of the latter have been renamed to the former. * Extra data layout tables in the headers for the `NESlice` and `NEStridedSlice` functions (note: not present in CL counterpart) meant documentation for those functions was generated twice. Resolves: COMPMID-4561, COMPMID-4562, COMPMID-4563 Change-Id: I1eb24559545397749e636ffbf927727fb1bc6201 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5769 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com>
2021-06-07Revert "Implement memory injection in CpuDirectGemmConv2d"Michele Di Giorgio
This reverts commit b3be45759bdd0749ae3a16fe470820f0d9830ea9. Resolves: COMPMID-4548 Change-Id: I46e0d8c67ddf988af3ce38f83177cda412db916c Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5775 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
2021-06-07Enable fat binary supportGeorgios Pinitas
Changes our build system to allow building both Neon(TM) and SVE kernels and package them in the same binary. This will allow runtime selection of the underlying architecture. Adds new build option, fat_binary, for enabling this feature. Change-Id: I8e8386149773ce28e071a2fb7ddd8c8ae0f28a4a Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5704 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-01Rename ported functionsManuel Bottini
Rename CpuPooling to CpuPool2d Rename CpuPoolingKernel to CpuPool2dKernel Rename CpuPoolingAssemblyWrapperKernel to CpuPool2dAssemblyWrapperKernel Move CpuPool2dAssemblyWrapperKernel in internal subfolder Rename CpuDepthwiseConvolutionNativeKernel to CpuDepthwiseConv2dNativeKernel Rename CpuDepthwiseConvolutionAssemblyDispatch to CpuDepthwiseConv2dAssemblyDispatch Rename CpuDepthwiseConvolution to CpuDepthwiseConv2d Rename CpuDirectConvolutionKernel to CpuDirectConv2dKernel Rename CpuDirectConvolutionOutputStageKernel to CpuDirectConv2dOutputStageKernel Rename CpuDirectConvolution to CpuDirectConv2d Rename ClPoolingKernel to ClPool2dKernel Rename ClPooling to ClPool2d Rename ClDirectConvolutionKernel to ClDirectConv2dKernel Resolves: COMPMID-4405 Change-Id: I8e48f015e4e492a76a7512f5679cb3eb0cd028f6 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5708 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-05-27Implement memory injection in CpuDirectGemmConv2dSang-Hoon Park
The following operators are now stateless by implementing memory injection. - CpuDirectGemmConv2d - CpuGemmAssemblyDispatch A test case is added to test if CpuDirectGemmConv2d can run on different group of tensors with a single configure. Resolves: COMPMID-4506 Change-Id: I48f44ed41236ca7e18da2de07bdbacc9007a3c5e Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5718 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
2021-05-19Port DepthConvert to new ApiGeorgios Pinitas
- Renames DepthConvert to Cast - Ports both NEDepthConverLayer and CLDepthConvert variants - Removes legacy shift capability from DepthConvert, allowing only shifts of 0 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I806a0f8eb23d23502b632c529fda7edde19c8176 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5565 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-05-17Fix MeanStdDevNormalizationLayer reference outputting nan for FP16Giorgio Arena
- Bring the epsilon up to 1e-3 for FP16 (both backends) since it was causing the reference's variance being negative and its square root being NaN - Bring the epsilon up to 1e-7 for FP16 NEON test for the same problem on the NEON kernel - Adjust the CL kernel's vec_size when input tensor's width < 16 and use macros agnostic of vector size for sum reduction - Add previously mismatching tensor shapes Resolve COMPMID-4354 Change-Id: I823c871aacb72326f90c86b24cb16c3e2d4bd15e Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5630 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-05-13Fix Pooling Layer Bug when input is 1xN sizeFreddie Liardet
Return error in pooling layer when any calculated output dimension is less than 1. Simplify use of pooling layer output dimension values in CpuPoolingKernel.cpp. Remove some invalid tests in cpu/gpu pooling layers. Resolves COMPMID-4358. Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: If8f8ffec579d3eca1c27a45e5b0b684a77103cff Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5559 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-05-12NEON/RoiAlign/Quantized/QASYMM8_SIGNED mismatchesManuel Bottini
Use the right tolerance for QASYMM8_SIGNED datatypes Resolves: COMPMID-4513 Change-Id: I9951a34451db36e2346445702afd20b70a71f0d0 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5626 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-05-04Turn EXPECT into ASSERT when testing invalid conditionsMichele Di Giorgio
Relates to COMPMID-4385 Change-Id: Ibc1d67f766b7c1a399dbeacf26a4b9d9f7323785 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5549 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-30[Nightly #1144] NEON/DepthwiseConvolutionLayer/Float/F16/Optimized mismatch ↵Manuel Bottini
on S10 tolerance issue Resolves: COMPMID-4409 Change-Id: I026d760102b8cdb87e4b40015a24c385c6a08574 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5527 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-04-29Remove stale/solved TODOsMichele Di Giorgio
Change-Id: I5c440f4c6ca4186adcfa926e6b7d924086671f29 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5520 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Manuel Bottini <manuel.bottini@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-04-28Add per-channel quantization support for CLDeconvolutionLayerFreddie Liardet
Add QSYMM8_PER_CHANNEL support on weight input for CLDeconvolutionLayer. When weights are per-channel quantized type "Direct" method is always used. Also reduce number of QSYMM8_PER_CHANNEL tests for NEDeconvolutionLayer. Resolves: COMPMID-3438 Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: I1330cac5142e19d21e322574fb8d912558745b02 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5484 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-04-19Port DepthwiseConvolution to new APIMichalis Spyrou
Resolves: COMPMID-4185 Change-Id: Ib5f22356356a022d567bb18d44ea272b62d10ebf Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5424 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-04-19Add padding consideration to pooling index computationSang-Hoon Park
Fix the pooling kernel which has been missing consideration of left padding, which can be implictly added by external kernels. Additionally, tests for FP16 have been added for the logic. Resolves: COMPMID-4363 Change-Id: I5655991cb80f749fb1ae9bbd3918b436a078f5d1 Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5421 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-04-13Implicit padding testing along the X axis on high priority operatorsGiorgio Arena
Add artificial implicit padding testing for the following fixtures: - Scale - FullyConnected - Pooling - DepthwiseConvolution - DirectConvolution - Winograd - FFT - GEMM/GEMMLowp Create utility function that loops through a list of tensor and adds random padding based on the global seed (only for NHWC layer layout). Remove GEMMLowpAssemblyFixture since it wasn't used Remove some AssetsLibrary headers since they weren't used Resolve COMPMID-4161 Change-Id: Ib6f4f7f113ae69b993d7b2a9e04abbf3de8c99fe Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5327 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-07Add per channel quantization support for NEDeconvolutionLayerFreddie Liardet
Add QSYMM8_PER_CHANNEL support on weight input for NEDeconvolutionLayer and reference version. Resolves: COMPMID-3437 Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: I7c9a28d4d0fea324ed8e5a24fbd0422e5ede145c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5364 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-04-06Mixed data-layout testing on high priority operatorsManuel Bottini
Change data layouts after the configure in validation tests for: - Scale - Pooling - FullyConnected - DepthwiseConvolution - DirectConvolution - FFTConvolution - WinogradConvolution - GEMMConvolution (Indirect GEMM included) Extending fixtures Fixes for new mixed data layout tests Resolves: COMPMID-4162 Change-Id: I2f2eb2075f7e24ab3872249d88cadb57b82c5dde Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5326 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-03-31Fix trademarks throughout the codebaseMichele Di Giorgio
Resolves: COMPMID-4299 Change-Id: Ie6a52c1371b9a2a7b5bb4f019ecd5e70a2008567 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5338 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-03-26Check biases pointer before referencing in CLDirectConvolutionLayerMichele Di Giorgio
The biases input can be nullptr, hence we need to check before referencing. A test is also added to ensure a successful configure and run of Direct Convolution when there is no bias. Resolves: COMPMID-4315 Change-Id: I23223efd6ced81215aff490221fb4606945c139b Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5322 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: James Conroy <james.conroy@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-03-19Added Qasymm8 datatype support to NEROIPoolingLayer with TestsSuhail Munshi
Tests added to check ROIPooling Layer against reference with both Float32 and Qasymm8 input. Resolves : COMPMID-2319 Change-Id: I867bc4dde1e3e91f9f42f4a7ce8debfe83b8db50 Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/296640 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com> Comments-Addressed: Pablo Tello <pablo.tello@arm.com> Signed-off-by: Suhail Munshi <MohammedSuhail.Munshi@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5060 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-03-16Port Arm(R) Neon(TM) Scale to new APIManuel Bottini
Partially resolves: COMPMID-4190 Change-Id: I0c1e32ff6176775c9b7bf547899a791fd318ba0a Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5192 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: TeresaARM <teresa.charlinreyes@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
2021-03-08Add dynamic tensor support to CpuElementwiseSang-Hoon Park
The kernels and operators for binary and unary operations are now capable of being configured with dynamic shapes and computing windows at run-time. Additionally, changing arguments' names is done for consistency. Partially Implements: COMPMID-4127 Change-Id: I48e5038692db667dec7cb2b2906fe5683214fe19 Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4973 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-03-03Remove Compute Vision CL supportMichalis Spyrou
Resolves COMPMID-4151 Change-Id: I46f541efe8c4087f27794d2e158b6c1547d459ba Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5160 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2021-03-02Set up configure-only flag for validation. First trial with DepthwiseConvoltionGiorgio Arena
This is needed in order to validate OpenCL kernel run-time compilation, without necessarily running or validating the kernels' execution - Add a run-time option for our validation suite to only configure one target function, without allocating, running or validating - Avoid to map/unmap tensors in CLAccessor if no allocation/validation is required - Create a new Fixture macro that accepts fixtures split into configure/allocate_and_run/reference, and do the last two only if required - Adjust fixture and validation files for the first trial function(s) (DepthwiseConvolutionLayer) Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I56fa1ce5ef4ac0c86bcabda686cc277ef5ec69c8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5048 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
2021-02-23Remove Compute Vision Neon supportMichalis Spyrou
Resolves COMPMID-4150 Change-Id: I316e8ab97de796666c71eadfde894715fcf4a1aa Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5141 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-02-22Comply with Trademark rules for use of Neon, Arm and MaliSheri Zhang
Full trademarks available in README.md Resolves: COMPMID-4257 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: Ibfba2adf2eef3449433f467464ebd87d7198474d Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5116 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-02-19Fix tolerance for NEReduceMean on aarch64Giorgio Arena
Change-Id: I1f8ed31b0271d9755092d2ec8871a94feb4e5da2 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5106 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-02-08Fix tolerance for NEON RNNLayerManuel Bottini
Hide FP16 tolerances for NEON backend if FP16 vector arithmetic not supported Resolves: COMPMID-4239 Change-Id: Ib6aad2de8a0ea621e2fdb673b9bab92c0520acd5 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5022 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-02-05Fix tolerance for NEON RNNLayerManuel Bottini
Use same absolute tolerance as in the GPU backend Change-Id: I92d8ce93ca189dad70dff6226b3b501b724cea33 Resolves: COMPMID-4239 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5010 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-01-20Integrate improved pooling layer on NEONMichele Di Giorgio
Resolves COMPMID-4035 Change-Id: I559f8c4208fba9193dfe5012f03ddaf26c746215 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4855 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
generated by cgit v1.2.1 (git 2.23.0) at 2024-07-04 09:17:19 +0000