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2021-09-07Add support for non-constant weights and biases in CpuFullyConnectedMichele Di Giorgio
Changing the approach for specifying that weights and biases tensors are non-constant by making it a member of TensorInfo rather than an option of the functions. Resolves: COMPMID-4222 Change-Id: I96e6f3868f51785c9700a3ef6a1fe7b05747862c Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6162 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-09-03Review all shapes in datasets to account for padding removal Part 1Gian Marco Iodice
* Add the following configurations for stressing padding removal: * size = 1 * size = multiple of processing size * size = non-multiple of processing size Partially resolves COMPMID-3865 Change-Id: I15361daf3def960c9e3f7d8aaa6682bebd5d7e5f Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/275764 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Manuel Bottini <manuel.bottini@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4365 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-09-03Fix CLNormalizationLayer NCHW border calculationSiCongLi
* Calculate border using both norm size and vec_size_x * Expose reference tensor printer Resolves: COMPMID-4793 Change-Id: I7bd8e49779baf7d6848271757bc7993aa1ed2960 Signed-off-by: SiCongLi <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6201 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-08-25Move CPU/GPU files from Core/Runtime to the respective backend foldersGeorgios Pinitas
Legacy structure contained two libraries core/runtime with two backends in each. We reduce the core/runtime libraries to a single library thus merging the backend files Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I69545765fe7a730368105cdbd067d3135ec7a174 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6155 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-08-23Remove padding from ClScaleKernelGiorgio Arena
- Merge quantized kernels with fp for bilinear interpolation (both NCHW and NHWC) - Pass dimensions at compile time rather than at run time - Use tile-based approach to rework the NCHW kernels - Remove unused functions/files Resolve COMPMID-4723 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: Ifcdf02beb9daa9f318395751b3c85eb2fe874082 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6138 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
2021-08-20Rename [Cl|Cpu]GemmConvolution to [Cl|Gpu]GemmConv2dGeorgios Pinitas
Renaming the gemm-based convolution operators to accomodate for new operators with higher convolution dimensonality Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: Id2f2cf11404221f0e87baa0e5d08ad5d63eaf78e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6113 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-08-18Retain weights in ClGemm when reconfiguring the operator with retentionGeorgios Pinitas
- Reduces the size of the WeightRetentions tests - Ensure the weights are retained the only the Src,Dst are updated Resolves: COMPMID-4775 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: If12daa4bd4bf89ec28faa743fb7291895cbe7b7c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6121 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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>
2021-08-13increase CL/BatchNormalizationLayer Fp16 absolute thresholdGunes Bayir
Resolves: COMPMID-4768 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I4f194f6fc3c991c6c034ef6617c00057ce163e17 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6103 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-08-04Fix CL direct conv layer test FP32 absolute tolerance issueGunes Bayir
In CL/DirectConvolutionLayer tests, only relative tolerance was being used, and this was causing issues for some small numbers. Resolves: COMPMID-4755 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I976b70d393a0c196daf37047852eaf8894951e78 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6037 Reviewed-by: Michele Di Giorgio <michele.digiorgio@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>
2021-08-02Port CLConvolutionLayerSheri Zhang
Resolves: COMPMID-4508 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: Ifcb6d8ab290655dc8f47a067f23324cf227736f1 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6015 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: 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>
2021-07-27Port CLGEMMConvolutionLayerManuel Bottini
Details: port CLWeightsReshapeKernel to ClWeightsReshapeKernel port CLGEMMConvolutionLayer to ClGemmConvolution Resolves: COMPMID-4515 Change-Id: I7d5b4ec72db2742f6eb9f3ffc88f717c35b4f2a3 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5983 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@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>
2021-07-23Fix formatting issue with blank profiler headerFreddie Liardet
Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: I24fcb2531d45db09843a7021e9af55b9c3a0e743 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5986 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-07-22Update GEMM assembly kernelsGeorgios Pinitas
- Introduce Fp32 kernels with internal calculations in Bfloat16 when fast_mode is enabled - Improve kernel selection heuristics Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I68a9e7e862b6fd2721b46e0d7cc791091c4ab279 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5965 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-07-19Add layer data to JSON outputFreddie Liardet
Add layer data information to SchedulerTimer JSON output. Resolves: COMPMID-4423 Change-Id: Ife78dee8afc0910cf47b135bc6809cc170ec4ed3 Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5923 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-07-16Port CLIm2ColKernel to ClIm2ColKernelManuel Bottini
Resolves: COMPMID-4516 Change-Id: I6a6db66797fa801dfe1238fceca413277241d2ec Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5946 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@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>
2021-07-15Port CLCol2ImKernel to ClCol2ImKernelManuel Bottini
Resolves: COMPMID-4517 Change-Id: I50cb02116a1ab86fc29200371944c4774e830746 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5949 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@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>
2021-07-06Fix manual LOOP_UNROLLINGGian Marco Iodice
The issue is caused by the number of iterations passed to LOOP_UNROLLING. When we use the manual LOOP_UNROLLING, the number of iterations must be less than or equal to 128. To overcome this problem, we create a utility function to check if any of the critical iterations (kernel dimensions) are beyond that limit. If so, the utility function, disable the manual loop unrolling. Resolves COMPMID-4609 Change-Id: I7221c967609e462a5abd1cbb74e2a120f344fcb3 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5913 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@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>
2021-07-02Rework OpenCL Depthwise ConvolutionGian Marco Iodice
- Remove dedicated kernels for NCHW. Now we only use NHWC with permute - Remove specialized kernels for 3x3 NHWC - Simplify CLDepthwiseConvolutionLayer.cpp to call just the native implementation for both floating-point and quantized data types - Develop two parametric opencl kernels for depthwise convolution layer NHWC (floating-point and quantized) - Add support to export the weights to cl_image - Extend test for depthwise convolution on opencl Resolves COMPMID-4417 Change-Id: Ibe533f79c2860f9cac8e921895d5a8f947753a5c Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5893 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Tested-by: Arm Jenkins <bsgcomp@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>
2021-07-02Implement FP GPU depthwise convolution 1x1 kernel for in-place computationSiCongLi
* Implement in-place graph node mutator for 1x1 depthwise convolution * Add in-place to validation fixture except for DepthwiseConvolutionLayerNativeValidationFixture as it would be a duplicate test otherwise (DepthwiseConvolutionLayerNative test tests the underlying kernel) Resolves: COMPMID-4432 Change-Id: Id7f10f5ebdce7d49f550c0b62dbaaab7f5b59d29 Signed-off-by: SiCongLi <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5874 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-06-30Revert "Rework OpenCL Depthwise Convolution"Gian Marco Iodice
This reverts commit 561c176598cd14245e2e7918fdf136d1c888d1da. Reason for revert: <validation> Change-Id: I6f2d61c27520439bb538e9265736532104b24cf8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5127 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-29Port the ClGemmLowp kernels to the new APIGeorgios Pinitas
Ported kernels: - CLGEMMLowpMatrixMultiplyNativeKernel - CLGEMMLowpMatrixMultiplyReshapedKernel - CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel - CLGEMMLowpOffsetContributionKernel - CLGEMMLowpOffsetContributionOutputStageKernel - CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel - CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel - CLGEMMLowpQuantizeDownInt32ScaleKernel Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I9d5a744d6a2dd2f2726fdfb291bad000b6970de2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5870 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@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>
2021-06-29Enable global pooling optimization on OpenCLGian Marco Iodice
- Add loop unrolling on X and use POOL_X and POOL_Y defines for the for loop Resolves COMPMID-4573 Change-Id: I33cb825cfb55912ccb0ab9d03bd33a3dab4c8b44 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5872 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-29Port 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>
2021-06-24Rework gemmlowp reshaped_only_rhs using the new macrosGiorgio Arena
Resolve COMPMID-4416 Change-Id: I83cdf0de7adaf4d465ffebd494ab913182072485 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5788 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-24Rework OpenCL Depthwise ConvolutionGian Marco Iodice
- Remove dedicated kernels for NCHW. Now we only use NHWC with permute - Remove specialized kernels for 3x3 NHWC - Simplify CLDepthwiseConvolutionLayer.cpp to call just the native implementation for both floating-point and quantized data types - Develop two parametric opencl kernels for depthwise convolution layer NHWC (floating-point and quantized) - Add support to export the weights to cl_image - Extend test for depthwise convolution on opencl Resolves COMPMID-4417 Change-Id: I253dd5d959a70783c82e62b1771a5e9f91621cb0 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5806 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
2021-06-23Create core library using high priority operatorsMichalis Spyrou
A smaller core library is created using a subset of the operators. Changed the structure of filelist.json in order to include more information about the kernels and make the selection easier. Resolves: COMPMID-4514 Change-Id: I079ca7d8e64346174eebdd13b834e1dd4dc36ca2 Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5786 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-23Add in-place computation for elementwise operationsSheri Zhang
- Add in-place computation for elementwise operations at graph level - Modify support case to test in-place computation for elementwise operations Resolves: COMPMID-4414 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: I5a4de1235dd29a31160e770a16d62f4b98c84ae6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5803 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: 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>
2021-06-22Add FP16 support to CLRemapFreddie Liardet
Add FP16 support to CLRemap when data layout is NHWC. Add relevant tests for FP16 and validation. Update NERemap function level to be consistent with CLRemap. Add depreciation notice for uint_8 only function level methods. Resolves: COMPMID-4335 Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: If05f06801aef7a169b73ff1ebe760a42f11ca05c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5816 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-06-18Integrate improved CPU depthwise convolution kernelsMichele Di Giorgio
* Replace assembly kernels for depthwise convolution with more optimized ones. * Add int8 assembly kernels. * Fix implicit padding on optimized kernels Resolves: COMPMID-3867, COMPMID-4361 Change-Id: I0b0867e05f61be4f368f62190d55e14d0ab3ebf2 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5622 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
2021-06-18Unused variables in Winograd testsManuel Bottini
Resolves: COMPMID-4583 Change-Id: I8d40d7476b09e8cd0786fcc18448f41b508c9a1f Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5822 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Georgios Pinitas <georgios.pinitas@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>
2021-06-15Add CPU discovery capabilities.Georgios Pinitas
Resolves: COMPMID-4500 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I008c51934ef813fb1f489b531288c4419e701955 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5799 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-06-15Port CLWinogradConvolutionLayer with ClWinogradConv2dManuel Bottini
Port CLWinogradInputTransformKernel Port CLWinogradFilterTransformKernel Port CLWinogradOutputTransformKernel Resolves: COMPMID-4504 Change-Id: I3177dda0b9c2f56b36cb317027e94abe8d47229e Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5680 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-17 03:35:24 +0000