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2023-06-21Fix CPU depthwise convolution in case of large paddingViet-Hoa Do
* Avoid the assembly kernels to be used when the padding is greater than the kernel shape. Resolves: COMPMID-6280 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Ibe0820018c97f4481bf318397b797ec7b351a1d5 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9802 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-06-19Implement FP32/FP16 MatMul NT/NT kernel using the MMUL extensionSiCong Li
Resolves COMPMID-6194 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: Ie45e2aa9533948b2e5235563cef1d3834494eccf Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9739 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-05-11Fix invalid vector length in CLViet-Hoa Do
Resolves: COMPMID-6252 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I97ddf8a6c83bc2621abc712094db6bc0fe3d97b1 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9620 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-05-03Support multi-dimensional indices in the CL Gather Layer up to ↵Omar Al Khatib
four-dimensional output tensors Resolves [COMPMID-5775] Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Change-Id: I6f6c12ac08f0b0ad070ca5d715c531c2c3762c30 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9498 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-04-28Reorder addedDavid Svantesson
Adds Reorder kernel exposing blocking reorders from arm_gemm Resolves ONCPUML-1232 Change-Id: I42bf4166311fe1771565134d3ed7039fc8e30230 Signed-off-by: David Svantesson <david.svantesson@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9500 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-04-19Add quantized support for CPU MatMulViet-Hoa Do
Resolves: COMPMID-5899 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I89d96e292c3492ba9b1900a3e5683f9dcd11dfc6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9440 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-27Fix BatchToSpaceFixtureSiCong Li
* Use a vector to represent the (static) block shape instead of an N-D Tensor. The previous use of ND Tensor as block shape was wrong, not adhering to the specification, and non-functional (only first dim was used anyway). * The fixture now accepts a static block shape, because the dynamic case is not properly implemented and will be deprecated for now. * Fix an assertion error in reference implementation. Partially resolves COMPMID-5918 Change-Id: I5221e52ccc05e7c1249dec3a42426f954a73729a Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9357 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: Omar Al Khatib <omar.alkhatib@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-24Add Texture Pipe Support for Matmul Lhs T/NT Rhs T kernelsRamy Elgammal
Resolves: COMPMID-5952, COMPMID-5956 Change-Id: Idbd14538e7660792254072fa9631a6f03966f89b Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9371 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-24Add Texture Pipe Support for Matmul Lhs T/NT Rhs NT kernelsGunes Bayir
Resolves: COMPMID-5945, COMPMID-5954 Change-Id: I7b27021d21f8e08c4896f6b1f595a75125064f9e Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9356 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-03-20Implement OpenCL MatMul for Lhs T Rhs T/NT FP32/16Gunes Bayir
- Implement opencl kernel for LHS transposed and RHS non-transposed - Implement opencl kernel for LHS transposed and RHS transposed - Add validation tests Resolves: COMPMID-5953, COMPMID-5955 Change-Id: I55589acbffe86c44e29807574975978a1ec09bad Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9345 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-03-17Implement OpenCL MatMul for Lhs NT Rhs T/NT FP32/16Ramy Elgammal
- Implement ClNativeMatMulKernel class - Implement opencl kernel for LHS non-transposed and RHS non-transposed - Implement opencl kernel for LHS non-transposed and RHS transposed - Add test fixture and dataset for matmul - Implement transpose_tensor() for reference implementation to transpose high dimensional tensors Resolves: COMPMID-5944, COMPMID-5951 Co-authored-by: Gunes Bayir <gunes.bayir@arm.com> Co-authored-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I1d5b8978f41be27baddb3153ade880472141573f Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9333 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-08Add support for arbitrary parameters for CPU GatherViet-Hoa Do
* The shape of input and indices tensors, and the gather axis can be any number, as long as these are valid and the output tensor doesn't have more dimensions than the library supports. * Update the reference code to be more generic and straightforward. * Add necessary test cases. Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Resolves: COMPMID-5919 Change-Id: Ic7e2032777aa97ecc147f61d5388528697508ab1 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9199 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-20Dynamic Fusion Pooling Layer 2dMohammed Suhail Munshi
- Adds Dynamic fusion PoolingLayer2D as Unfusable Operator - Indices are not supported - Adds tests for F32/F16 Datatypes Resolves : [COMPMID-5520] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I0d112545eb9209c836bf9ea153069f8627531e0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8893 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-18Add broadcast batched matmul validation casesSiCong Li
Related to: COMPMID-5660 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: I2314c8b21acc638402c77080d59db2f3fed58fe2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8911 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Mohmun02 <MohammedSuhail.Munshi@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-01-06LHS broadcasting addition for dynamic fusionViet-Hoa Do
* Binary elementwise operator now can have broadcasting in either X dimension, Y+Z dimension, or both, in either LHS or RHS operand. * Fix bug in CL code to support batching. Resolves: COMPMID-5704 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I51b04986d30861f255ca9f754adffa0e6c85a26b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8898 Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Ramy Elgammal <ramy.elgammal@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Dynamic-Fusion: Ramy Elgammal <ramy.elgammal@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-12-28Add Resize/Scale operator to Dynamic Fusion interfaceJakub Sujak
Resolves: COMPMID-5521 Change-Id: Id38a4ce18f9ea8805a151acb064e72795535d1a0 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8859 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-29Adding GpuAdd to dynamic fusion operatorsRamy Elgammal
- Provide support for Add operator - Auto initialize the destination tensor before testing fusion in conv2d and elementwise binary ops. Resolves: COMPMID-5518 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: Ibd815020f02b57f88eea7c2921bdcf98605d99c5 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8617 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-15Fix GemmLowp BatchMatMul Tests to use quantized OutputsMohammed Suhail Munshi
- Fix includes int8/uint8 quantized inputs - Bias S32 value is limited to better allow detection of mismatches in gemmlowp kernel Resolves: [COMPMID-5659] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Ie9cca430c6ab66253fe1d5252bd2c5396c7f38cf Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8514 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-14Optimize Transposed Convolution for CL backend (FP32/16)Gunes Bayir
This patch optimizes transposed convolution for CL backend by rewriting it in a single kernel instead of three (flip_kernel + upsample + conv). The new kernel skips the upsampling step which reduces the input space of convolution by stride_x * stride_y, resulting in significant performance improvement. It also skips the kernel flipping by traversing the weights accordingly, thus reduces the memory footprint. Resolves: COMPMID-5676 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I8a333212dc7c5f7f0597aa58b0d56d44814baa14 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8588 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-22Fix unresolved symbol for target armv7a + AndroidPablo Marquez Tello
* Resolves COMPMID-5599 Change-Id: I4c1df48eda289c82ca567f6808fccd0b09065223 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8302 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-21Add test for ClGemmLowpMatrixMultiplyCore to test a batched matrix ↵Ramy Elgammal
multiplication with variable input tensors Resolves: COMPMID-5506 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I8345a3b7a83ef46f9ec7a77197cc65c933ec9ac6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8239 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-16Fix bug in QASYMM8_SIGNED to F32 cast layerViet-Hoa Do
Resolves: COMPMID-5580 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Ia731560c23a6ab2e0ead5a857fbabb9cbc25154c Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/452428 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8268 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
2022-09-16Optimize Quantized/Integer Bilinear Scale for Neon™Gunes Bayir
This patch introduces several performance optimizations regarding the Bilinear Scale operator with REPLICATE Border mode. Changes apply only to NHWC. This patch - Reduces the memory footprint by disabling precomputation of indices and weights when they're not used - Rewrites the kernels for QASYMM8/QASYMM8_SIGNED/U8(Uint8) - Adds S8(Int8) Bilinear Scale for Border mode REPLICATE - Removes Bilinear Scale SVE kernels for Quantized and Integer types and adjust the heuristics to choose the Neon™ implementation - Adds new test cases where the input and output of the Bilinear Scale operator have different quantization scale and offset Resolves: COMPMID-5453, COMPMID-5454 Change-Id: I3d251e76e0c6978fd5a0a1795ec62ab536bec93c Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8250 Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-14Adding GELU activationMurray Kornelsen
OpenCL implementation uses built in erf. NEON implementation requires new vectorized erf. Uses the following approximation: erf(x) = 1 - 1 / (1 + a1x + a2x^2 + a3x^3 + a4x^4)^4 a1 = 0.278393, a2 = 0.230389, a3 = 0.000972, a4 = 0.078108 From https://en.wikipedia.org/wiki/Error_function#Numerical_approximations Signed-off-by: Murray Kornelsen <murray.kornelsen@mail.mcgill.ca> Change-Id: I2d3964b2c26a4334166b17135f9104bc6324fad2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7921 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Pablo Marquez Tello <pablo.tello@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-12Add test for NEGEMM to test a batched matrix multiplication with variable ↵Adnan AlSinan
input tensors - Add a test for CPU to batched matrix multiplication with variable input tensors - Disable assembly kernel when using _reshape_b_only_on_first_run flag Resolves COMPMID-5501 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: If96b182584617806a9dfe597dbfaf05241b123c2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8234 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-07Add test for CLGEMM to test a batched matrix multiplication with variable ↵Mohammed Suhail Munshi
input tensors Resolves : [COMPMID-5502] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Ida001dc597973f9180468737a3e32e5022e6baee Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/450342 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Mohammed Suhail Munshi <mohammedsuhail.munshi@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8224 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-06-13Add support for 2d and 3d indices for axis 1Pablo Marquez Tello
* Resolves COMPMID-5055 Change-Id: I2d14de29d3ec913d20c971bc8bbc9ad71e2d998f Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7547 Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-05-12Revert "Add support for 2d and 3d indices for axis 0"Mohammed Suhail Munshi
This reverts commit 0db8b8bbd941b3dab4238c03e734e7ac43c662ed. Relates to [COMPMID-5055] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I143e7965e21b956abb05ba5c41e12c5b73b7345a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7558 Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-05-10Add support for 2d and 3d indices for axis 0Pablo Marquez Tello
* Partially resolves COMPMID-5055 Change-Id: Id05374b8c69e6b9ab4c2790a4de93d7172063b71 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Change-Id: Ic6e2c2d1d34abbf6222c8d56859514e267447266 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7488 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-03-15Implementation of ClPooling3dramelg01
- For NDHWC layout - For F16 and F32 data types - Mixed Precision stil not supported Resolves: COMPMID-4670 Signed-off-by: ramy.elgammal@arm.com Change-Id: I0e14a13e4625569e8e5ee67e6033bd1efe0da469 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7262 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-10-18Fix precision issue in ChannelShuffleKernelPablo Marquez Tello
* Fixed the issue in NHWC Neon * Fixed the rounding error in CL * Added a new test case to reproduce the problem * Resolves COMPMID-4831 Change-Id: I1613168cad580ca5acefe8ba340130af05cffaff Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6454 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2021-10-15Conv3d supportSheri Zhang
* Add CpuDirectConv3d support for fp32 and fp16 * Dilation is not supported * Need decouple Partially resolve: COMPMID-4661 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: Ib1865b9ff328b684d131512b1baf77bc2f10318f Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6430 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
2021-10-06Optimize CpuScale NHWC F32/F16Gian Marco Iodice
- Rework CpuScaleKernel F32/F16 NHWC - bilinear - Rework CpuScaleKernel F32/F16 NHWC - nearest - Add test to validate the vector computation path Resolves COMPMID-4801, COMPMID-4802 Change-Id: Ie6e4f262a8cce509edd7b8f564c940758625c58a Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6361 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
2021-09-15Provide tests for fusing pad layer in graph APIGunes Bayir
There are two tests: - A unit test that checks if certain padding configurations are to be fused or not - A fixture test that compares a reference implementation of pad+conv vs target implementation using the same fusing logic as graph API Tests are written for CL backend only to prevent code duplication. The code written in the graph API remains untested. Resolves: COMPMID-4702 Change-Id: Ie84d1cb910013033b46ac9d66cf5fc556d4963d2 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6252 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Sheri Zhang <sheri.zhang@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@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>
2021-08-13Add 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>
2021-07-13Add 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>
2021-07-06Fix 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>
2021-07-02Rework 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>
2021-07-02Implement 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>
2021-06-24Rework 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>
2021-06-18Integrate 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>
2021-05-17Fix 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>
2021-05-12Fix GEMMLowp output stage validation crash when input's first dimension == 1Giorgio Arena
- Change vectors' fixed length of 4 in gemmlowp_output_stage_quantize_down_float with its kernel's adjusted vec_size Resolve COMPMID-4355 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I371ecf114356fb6a8d18c5c3727f09ae247484bd Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5631 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>
2021-04-29Remove 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>
2021-04-21Remove unused yolo_layer OpenCL kernelMichele Di Giorgio
Change-Id: Ibab2095a1a5b525c8513f924cd5bcecd5172ed48 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5467 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-14Fix NeDepthwiseConvolution bad_alloc issueSheri Zhang
The memory allocation of the failed tests's tensors are huge, all the virtual memories are used up. And then when assign the output to _reference, a copy constructor is called and allocate more memory and caused the crash. Delete one of the tensor shape and adjust one. Resolve: COMPMID-4366 Signed-off-by: Sheri Zhang <sheri.zhang@arm.com> Change-Id: I91a816384ec358481018a724a7b0cd59730698fc Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5426 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-04-07Review all shapes in datasets to account for padding removal Part 2SiCong Li
* Fix validate compare_dimensions to account for cases where 1D tensor permuted into a 3D tensor * Add the following configurations to stress padding removal: * size = 1 * size = multiple of processing size * size = non-multiple of processing size Partially resolves COMPMID-3865 Change-Id: Iee0de4c9e72b3413c0807e2c86bc2331911a4c6f Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4393 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>
2021-04-06Mixed 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>
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-25 05:27:21 +0000