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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>
2021-06-29Port 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>
2021-06-25Rename pooling implementation folder to pool2dGeorgios Pinitas
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I82a298e059a92d82095186d120e4934a8eeb4e3e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5854 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-06-24Move core and runtime files to a single libraryMichalis Spyrou
Now core and runtime files are build in the same library, libarm_compute.so and libarm_compute-static.a. Create a dummy core library for not breaking backwards compatibility. Update documentation on fat binaries and new high priority library. Fixed issue on scons when using the install_dir feature. Change-Id: I5a8a6bbe2808243eba07fd135496995259d8702f Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5845 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@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>
2021-06-22Port 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>
2021-06-15Add 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>
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>
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