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2023-12-05Optimize CpuSoftmaxKernel for axis=0Gunes Bayir
Implement a single kernel instead of having two consecutive ones. In the previous setup, one kernel was calculating the maximum value in the axis, and this maximum was being subtracted from each data while calculating the softmax, i.e. softmax(x_i) = exp(x_i - max) / sum_i( exp(x_i - max) ) This patch integrates these two stages into a single kernel for Neon™ for all data types. This will save some memory because we don't need to hold the max values in a separate auxiliary tensor. It also introduces some other optimizations that will ease memory pressure when the data type is float/half, by using the dst tensor as temporary storage for already exponentiated inputs. It removes the references to SVE and SVE2 implementations, and most of the associated files; but, it leaves the implementations as these may be used in the future. Resolves: COMPMID-6500 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: Icff9976d1214c4c6cbe15a62ca60b8a77d3784cc Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10688 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>
2023-11-23Remove the legacy core libraryJakub Sujak
Stop building and linking to the legacy libarm_compute_core artifact. This library is an artifact of Compute Library's legacy library architecture and no longer serves any purpose. Users should link only to the main libarm_compute library for core functionality. Resolves: COMPMID-6329 Change-Id: Ife9d2c25d275e7c676deb09632ae461f697efde9 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10728 Reviewed-by: Anitha Raj <Anitha.Raj@arm.com> Reviewed-by: Sang Won Ha <sangwon.ha@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-11-14Update comments to suppress doxygen warnings.Anitha Raj
Resolved COMPMID-6367 Signed-off-by: Anitha Raj <anitha.raj@arm.com> Change-Id: I96f244811a81a4e278f0c5e47d5014229cad3a25 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10727 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-11-08Optimize CpuGemmConv2d start-up timeSiCong Li
When weight has no holes, we can replace CpuWeightsReshapeKernel with: - Collapse by reinterpreting weight's 3 spatial dimensions - Perform CpuTranspose For more details see the documentation in src/cpu/operators/CpuGemmConv2d.cpp This is one optimization since the CpuTranspose is better performing than CpuWeightsReshapeKernel A second optimization is to fuse this transpose with other weight transformations (e.g. pretranspose_B_array in CpuGemmAssemblyDispatch) However this second optimization depends on how the underlying gemm methods (the fall back path: CpuGemmMatrixMultiplyKernel or the assembly path: CpuGemmAssemblyDispatch) chooses to fuse the transpose. Therefore, this patch moves the transpose down from CpuGemmConv2d, to the individual gemm operators where the fusion decision needs to be made, by passing an extra "transpose_b" flag to CpuGemm New transpose_b flag in different scopes (they are all the same, but with different names because pretranspose_b has a different meaning in GemmAssemblyDispatch): GEMMInfo::pretranspose_B -> AsmGemmInfo::transpose_b New auxilliary tensors holding the transposed b result: - CpuGemm optimized path: CpuGemmAssemblyDispatch::PrePretransposedB - CpuGemm fallback path: CpuGemm::PreTransposedRHS Note that this patch does not yet have the second optimization (COMPMID-6595), but it prepares for it. Relates to COMPMID-6595 Resolves COMPMID-6499 Change-Id: I999a2da9da4b2b15369a3cc06d7872c86e0190ea Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10526 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Anitha Raj <Anitha.Raj@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-11-06Fix Elementwise Division Dynamic Shape testsAnitha Raj
- Enable use_dynamic_shape ArithmeticDivisionDynamicShapeValidationFixture Signed-off-by: Anitha Raj <anitha.raj@arm.com> Change-Id: I42ddf5b604d728eda91fa45b239abf8caf2cda0f Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10586 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-11-03Add Dynamic Quantization tests to Fully Connected LayerMohammed Suhail Munshi
This patch calculates the output quantization info based on the inputs' quantization information. The previous approach was using the same quantization information for input, weights and output. This implementation does not cover the cases where we have fused activation function. Resolves: [COMPMID-6484] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Ib58143165191e82ae8547e661ac7c8d077bda200 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10539 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>
2023-11-01Increase tolerance for MatMul in FP16Sangwon Ha
Resolves: COMPMID-6585 Change-Id: Ibfc5412ab23f10026c872eab99a056eb682d77a1 Signed-off-by: Sangwon Ha <sangwon.ha@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10577 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-10-31[GPU] Update Reverse layer to allow negative axis and reversed axis orderAdnan AlSinan
- Adds option to use negative axis and inverted axis. - Adds validation tests for the above. Resolves COMPMID-6459 Change-Id: I88afd845d078f92c82ec8529ce7241fccd4c417e Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10523 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-10-31Fix clang-tidy errorsJakub Sujak
Resolve the following clang-tidy errors: * use of undeclared identifier 'ARM_COMPUTE_ASSERT' * no template named 'AbsoluteTolerance' * no template named 'RelativeTolerance' These errors are a result of missing include headers in test fixtures. Resolves: COMPMID-6604 Change-Id: I8058c5848bb52a44925b2f99c9e8edf84dc79acc Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10561 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-10-31Use dynamic quantization in Convolution and Dilated Convolution testsGunes Bayir
This patch calculates the output quantization info based on the inputs' quantization information. The previous approach was using the same quantization information for input, weights and output. This implementation does not cover the cases where we have fused activation function. Resolves: COMPMID-6482 Change-Id: I4a9d87cfef8ad18ef241d457d23f44c8519a1389 Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10541 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>
2023-10-31Extend CKW MatMul with nt_tAdnan AlSinan
- Add the kernel variant: (nt_t) to GpuCKWMatMul. - Extend CKW MatMul validation test with nt_t. - Fixes a bug in CKW where z-dim = 1. Resolves: COMPMID-6435 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I4c5e8791e55f21ffff3c11eca7802c51a4259977 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10525 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>
2023-10-30Use dynamic quantization in OpenCL™ Direct Convolution testsGunes Bayir
This patch calculates the output quantization info based on the inputs' quantization information. The previous approach was using the same quantization information for input, weights and output. This implementation does not cover the cases where we have fused activation function. Note that no Neon™ tests are changed since there were not any quantized Neon Direct Convolution tests. Resolves: COMPMID-6485 Change-Id: Id32241320acae0b58552546d6d6f665cd5c63044 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10470 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-10-17Fix memory Error in Reverse Fixture.Adnan AlSinan
Resolves: COMPMID-6581 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I0a634e064377e54b9190241c01fc75c212522ba7 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10481 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-10-12Remove padding from CL comparison operatorViet-Hoa Do
* Add support for processing left-over vector to comparison kernel. * Combine native and quantized versions of CL comparison. Resolves: COMPMID-6424 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I31d43bdf0eab999cee6fa8144b5d8e921a1093e8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10467 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>
2023-10-10Optimize NEStackLayerGunes Bayir
Optimize the stack operation in Cpu by leveraging block memcpy. Resolves: COMPMID-6498 Change-Id: I49d79d179f0375a73d654edd59fb33072112569b Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10451 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>
2023-10-10Optimize CLDeconvolutionLayer testsGunes Bayir
Resolves: COMPMID-6466 Change-Id: I916871c9d7880107985337782e2cfd280a62cdeb Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10458 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-10-10Optimize CL and Neon depthwise convolution testsGunes Bayir
Resolves: COMPMID-6465 Change-Id: I5bbf4596dd5e34e806dc51de9be14df9b6fa320a Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10452 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-10-05Optimize CLTranspose operatorJakub Sujak
* Transpose higher dimensional tensors (>2D) by collapsing higher dimensions into the third dimension thus avoiding multiple dispatches of the CL kernel * Maximize tile size without register spilling Resolves: COMPMID-6448 Change-Id: Iac094b8c428bdf319d9c28a8334cb55d58e2d14b Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10443 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>
2023-10-05Change MatMul Native MMUL Kernel tests tolerance valueAdnan AlSinan
- Resolves COMPMID-6560 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I5778a0d620bed3fea05d868c0a775fbaa6dcc9dd Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10442 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-10-04Port DepthwiseConv2d operator to Ckwramy.elgammal@arm.com
- Only support 1x1 blocks, i.e. n0=1, m0=1. - Dilation not supported yet. Resolves: COMPMID-6258 Signed-off-by: ramy.elgammal@arm.com <ramy.elgammal@arm.com> Change-Id: I1dcfd7640fb40e112736dedc81847f7b1b50dba2 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10411 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-10-04NEDeconvolutionLayer validation fixPablo Marquez Tello
* Added a new test to make sure we support the following configuration: NCHW InputInfo=Shape=2,2 WeightsInfo=Shape=3,3 OutputInfo=Shape=4,4, PadStrideInfo=1,1;0,0,0,0' * Fixed the validate() method to allow this configuration * Resolves MLCE-1120 Change-Id: I6874ad57bb81384185984741b983bf5e19ba150c Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10417 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>
2023-10-03Fix nightly NEON Reverse reference failureAdnan AlSinan
- Fix the reference axis vector to be the right size. - Update typos in the error messages. Resolves COMPMID-6574 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I9572365b8173b92d0fffd557e4db261b2969109c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10423 Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com>
2023-10-03Fix MacOS compilation errorJakub Sujak
The linker option '-noall_load' is obsolete. Resolves: COMPMID-6578 Change-Id: I2d386c25b50705a25600dd612406470e1d3871be Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10421 Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-10-02Fix Nightly failing validation tests in NEON ReverseAdnan AlSinan
Resolves COMPMID-6574 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I6b23e2a2f7b2839f038dad538dfc5ebda62891a6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10412 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Anitha Raj <Anitha.Raj@arm.com>
2023-10-02Optimize CL and Neon Winograd testsGunes Bayir
Several test optimizations have been introduced into Winograd tests for Gpu and Cpu backends. The testing strategy has been detailed as a comment header in the test design files. In summary - Very large shapes in the nightly are made smaller - If the underlying kernel is the same for different data types, we only need to stress some key aspects of the kernels (e.g. read/write lengths in case of fp32/fp16). - In case the underlying kernel is the same (OpenCL), Fp16 is tested on a subset of the shapes - In Cpu, there is no need to test every combination for both NCHW and NHWC as we just permute the inputs and use NHWC kernels anyways - All activations does not need to be tested for each and every shape Resolves: COMPMID-6464 Change-Id: Ie25fded85c65b9c7386dc21b23f9b695b1e77b07 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10393 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-09-29Implement Quantized Matmul T/T and T/Nt kernels using MMUL extensionGunes Bayir
Resolves: COMPMID-6476, COMPMID-6477 Change-Id: Ied37c269d5a108ff72f70e3ad932cf372bda5562 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10346 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-09-28Implement Quantized Matmul Nt/T kernel using MMUL extensionGunes Bayir
Resolves: COMPMID-6474 Change-Id: Iaff5b512cf77975f2df02dcdf848711b13bf97a6 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10341 Reviewed-by: Mohmun02 <MohammedSuhail.Munshi@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> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-09-27Implement tflite compliant reverse for CPUAdnan AlSinan
- Add support for negative axis values. - Add option to use opposite ACL convention for dimension addressing. - Add validation tests for the mentioned additions. Resolves COMPMID-6497 Change-Id: I9174b201c3adc070766cc6cffcbe4ec1fe5ec1c3 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10335 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-09-20Fix the validation issue in AddMulAdd fused kernelGunes Bayir
Resolves: COMPMID-6558 Change-Id: I015d504aaa9b8a1a232b01e49ab373d415ea1de9 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10340 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: TeresaARM <teresa.charlinreyes@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-09-18Separate the output quantization calculation logic from matmulGunes Bayir
This patch generalizes the suggested output quantization calculation to any operation that employs a dot product between two vectors, i.e. c = sum_k(a_k * b_k) + d It also consider and suggests min/max boundaries for random S32 bias generation, depending on the accumulation result. MatMulKernelFixture is modified to use this interface. Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: Ibb528261bb0310015967e11bd7ccd9ed9cff8479 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10312 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-09-18Implement Quantized MatMul kernel using MMUL extensionGunes Bayir
Resolves: COMPMID-6475 Change-Id: Ic867cdfff5d4391cb749a04bf7cc35cda63d3b71 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10311 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-09-15Remove deprecated support for BF16 in CpuCastAdnan AlSinan
Resolves : [COMPMID-6212] Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I29bbd9a3d96af462faf7f0ee13b9849f75e05356 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10319 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com>
2023-09-14Add skeleton of ClMatMulLowpNativeMMULKernelGunes Bayir
The skeleton code consists of modifications - to build the library with the quantized matmul kernel - refactoring of some common utilities - empty OpenCL Kernels for four configurations ([Lhs, Rhs] X [Nt, t]) - some validation tests and skeleton for functional tests Resolves: COMPMID-6473 Change-Id: Id8401f789d34277dceb1f91afd68c9c88275618a Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10273 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-09-06Disable CKW ElementwiseBinary tests in Dynamic FusionJakub Sujak
- Disable CKW ElementwiseBinary tests A recent change to port DirectConv2d to CKW interface has broken the ElementwiseBinary tests. The fix requires reworking the implicit broadcasting of tensor shapes in CKW and will be delivered separately. - Remove some inapplicable pool2d tests after changing validate function input parameters. Related: COMPMID-6530 Change-Id: Iab87e73fb88ad7517f5ca275e5c873a781ecbc2c Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10242 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-09-04Make zip and combine variadicViet-Hoa Do
* Illustrate the benefit by writing CPU MatMul test dataset in a more readable way. Part of: COMPMID-6353 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Id5dbc13a051709237bbcc4dd88716d0b24ecfd5d Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10227 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-09-04Extend Neon ReshapeLayer validation testsAnitha Raj
- Add a test case with src and dst having same row size - Remove inline from has_holes() util function Related to COMPMID-6504 Change-Id: Iead1f17692dc57b66c5d9f01eed30169efaee0a5 Signed-off-by: Anitha Raj <anitha.raj@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10190 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>
2023-09-04Remove legacy PostOps codeJakub Sujak
PostOps was the experimental interface for Dynamic Fusion. It is now replaced by the new Dynamic Fusion interface with code generation using the Compute Kernel Writer. Resolves: COMPMID-6190 Change-Id: I813b48facef2fd6f3aee332588886b4f9b3d33d8 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10219 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-08-31Port ClTemplatePool2d to ckwAdnan AlSinan
- Fixes a bug when using FP16 constant in some cases. - Adds op_write_raw_code to handle some special cases. - Ports MxN pooling 2d layer into ckw. - Adds unary function 'negate' to ckw. - Updates pool2d validation tests to include store op. Resovles COMPMID-6263 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: If8c683761fead79bd519aef28cc65de78d3ec629 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10172 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-08-30Port Resize operator to CKWGunes Bayir
Use Compute Kernel Writer (CKW) to generate code for Resize operator in the Dynamic Fusion interface. Supports Nearest Neighbor and Bilinear interpolation methods. Resolves: COMPMID-6265 Change-Id: Ib0a5158bd4208123c84f6a1dc54f29d82fd55dcd Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10174 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-08-30Disable NEArgMinMaxLayer RunSmall_F32_S64 for armv7aPablo Marquez Tello
* When the output is S64 the function NEArgMinMaxLayer uses CpuCast to convert the output to S64 and this is only supported on aarch64. * Disable this test case for non aarch64 builds * Resolves COMPMID-6536 Change-Id: I554c21ce9a029af086e9137b5369b7951b779997 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10212 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-08-22Optimize CpuReshapeKernelAnitha Raj
Resolves COMPMID-5279 Change-Id: Id9b007eed62c200702bbfcc83b94dab7b5de1714 Signed-off-by: Anitha Raj <anitha.raj@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9962 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@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>
2023-08-17Remove functionality to add padding in Y dimension in validation testsAnitha Raj
Signed-off-by: Anitha Raj <anitha.raj@arm.com> Change-Id: I5b9e04f9057777bb080c40fa1f55dfee4bd866dc Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10138 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-08-08Add support for S64 output in NEArgMinMaxLayerPablo Marquez Tello
* NEArgMinMaxLayer uses NEReductionOperation to compute its result in S32 * We need to call NECast to convert from S32 to S64 * Resolves MLCE-1089 Change-Id: I6fded869b6076d7af1b9b3e70eb384f4ee82fd8a Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10054 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>
2023-08-08Fix failure in MeanReduce layerViet-Hoa Do
Resolves: COMPMID-6423 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I9cec051a7d1a2956218f8a6d8263bd5424f6d389 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10072 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-08-07Port DirectConv2d to CKW backendJakub Sujak
Ports the direct convolution 2D kernel from the experimental Dynamic Fusion interface to use the new Compute Kernel Writer backend for OpenCL code generation. Support is for FP16/FP32 only. Resolves: COMPMID-6259 Change-Id: Ia8d7b9cb789737b22b1d877cd798a73eda0ce4ab Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10059 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> 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>
2023-08-03Fix CL Tile operatorViet-Hoa Do
Resolves: COMPMID-6404 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I75aebe620567ed50817747589bbe8cfb63715a7b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10036 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: TeresaARM <teresa.charlinreyes@arm.com> Reviewed-by: Anitha Raj <Anitha.Raj@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-08-01Improved testing for ArgMinMaxPablo Marquez Tello
* ArgMinMax output was fixed to S32, this patch makes the changes required to allow other output types like U64/S64 * Made changes to the ArgMinMax fixture and tests to allow specifying output data type. * Made changes to the reference reduction_operation to allow specifying the output type * Added tests case to output S64 for the CL backend. * Added missing test cases in the neon backend. * Partially resolves MLCE-1089 Change-Id: I6f1cbc7093669d12c2a3aff6974cf19d83b2ecda Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10003 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-07-28Port ElementwiseBinary to CKW part 2SiCong Li
* Add fp16 support * Implement broadcasting to elementwise binary * Implement kernel name and kernel config id * Always use explicit cast in ckw unary, binary and ternary elementwise functions. This is to address the accidental use of double literals, with other benefits. * Refactor TypeConverter for smaller includes Resolves COMPMID-6260 Change-Id: I26b726746f8c0dd7b5942ad379d56f4d7642d15f Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9999 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@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>
2023-07-28Retain back-compatibility for arm_compute/core/Types.hSiCong Li
* Some symbols have been moved from core/Types.h. This patch retains back compatibility so that the user can still include this header for those symbols * A new header core/CoreTypes.h is created to avoid circular dependency. This header includes essential small types that are used across functions * Move all function info types into function_info folder for easier tracking Resolves COMPMID-6330 Related to https://review.mlplatform.org/c/ml/ComputeLibrary/+/9757 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: I4739175c2d4d184a9bc8e28b881b497fab03ca60 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9979 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-07-27Add missing tests for CLCastPablo Marquez Tello
* The following tests have been added: S64 -> F32 U64 -> F32 Change-Id: Ib51517d8c5638f31d5c09e95a9f4996778f4a90b Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9989 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-10 07:42:19 +0000