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2024-04-11Add in place summation to CPU GEMM kernelsRadu Salavat
Instead of dispatching the sum postop for GEMM kernels to a separate kernel + add, that requires an extra destination sized allocation, plus 3 extra load/stores per element, just do it in the GEMM kernel. Resolves: ONCPUML-1442 Signed-off-by: Radu Salavat <radu.salavat@arm.com> Co-authored-by: Milos Puzovic <milos.puzovic@arm.com> Change-Id: I7a1f2da3300875fa1ac88b705a34390969518077 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11298 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>
2024-03-25Adds Tests and reference implementation for scatter operator with 1D tensors.Mohammed Suhail Munshi
Resolves: [COMPMID-6890] Change-Id: Ie4a8db24fc6387afa9ddf42b3607e040cdf8df67 Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11339 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>
2024-03-22Fix for nightly build failures for androidMohammed Suhail Munshi
- Remove unused variables. Change-Id: I92b3a03e03517bedb26e60ad04b914359acf42f3 Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11337 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>
2024-03-21Add skeleton for CLScatter op, reference and testsMohammed Suhail Munshi
- Adds dataset for tests - Adds skeleton for function, operator, reference and tests Resolves: [COMPMID-6889] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I7e57e8b4577fef6aa7421e672894c249cad6c5fa Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11234 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>
2024-02-14[QTest] Use dynamic output quantization in Depthwise Conv testsOmar Al Khatib
Resolves: COMPMID-6483 Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Change-Id: I512102f5e27743098168101b5e02382f4ad4a22a Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11068 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2024-02-09Add support for QSYMM8 in ClCastKernelPablo Marquez Tello
* Resolves ARMCL-1123 Change-Id: I4f8432ba41fa50bf787fb068c3672ac06b858bdd Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11117 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>
2024-01-04Implement dynamic quantization for GEMMLowp testsSiCong Li
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. Remove QSYMM8_PER_CHANNEL path from the fixture as there are no related tests Remove repeated shapes from the dataset now that we get rid of the quantization info from the dataset. Combine signed and unsigned SmallGEMMLowpFusedBatchedMatMulDataset into one as they become identical Resolves COMPMID-6481, COMPMID-6634 Change-Id: I9f5a20f4bb45c3e5adab388564135ae8a5c0a9ea Signed-off-by: SiCong Li <sicong.li@arm.com> Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10680 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Benchmark: 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>
2023-10-31Use 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>
2023-10-30Use 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>
2023-10-12Remove 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 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>
2023-10-02Optimize 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>
2023-09-18Implement 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>
2023-09-14Add 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>
2023-09-04Remove 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>
2023-08-08Fix 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>
2023-08-03Fix 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>
2023-07-27Add 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>
2023-07-13Added S64/U64 support for the input in CLCastPablo Marquez Tello
* Partially resolves MLCE-1089 Change-Id: Ie3d2fc2f755ae99cdb17b57cc90bb3f99a1843e0 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9909 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>
2023-07-11Improved Argminmax testingPablo Marquez Tello
* Added some corner cases for tiny 1D shapes that caused failures. * Removed unnecessary includes from the test. * Partially resolves COMPMID-6164 Change-Id: I4dfb444715ae389088b9e0aa99c8ac3e8d00d6ae Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9900 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-07-11Add Bias to MatMul Kernels and add support for use in Fully Connected LayerMohammed Suhail Munshi
Resolves: [COMPMID-6316] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I08e6bac9e6b46b76978da0dc6a48ccfe3dde5086 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9833 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>
2023-07-07Enable transpose convolution with non-square kernelsViet-Hoa Do
Resolves: COMPMID-6319 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I49a17ff973efc88b7ce0334c47ecf076c03f4cc3 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9829 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>
2023-07-06Fix nightly failures in MatMulLowpNativeKernel when using bounded activation ↵Mohammed Suhail Munshi
functions - Added checks for supported activation functions in MatMulLowpKernel validate - Replaced incorrect float activation macro with quantized implementation in mat_mul_quantized Resolves: [COMPMID-6339] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I15661f14877f1d3305644e6473feb5482a67e773 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/532858 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/+/9855 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>
2023-06-29Implement FP32/16 MatMul Lhs T Rhs T/NT kernel using MMUL extensionGunes Bayir
Resolves: COMPMID-6196, COMPMID-6197 Change-Id: I22a1c32686eb70e7676c8b4d64a76dbaeb638cb3 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9798 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>
2023-06-26Use MatMul in fully connected layer with dynamic weights when supportedMohammed Suhail Munshi
- Use MatMul kernels in FC layer when using dynamic weights without broadcasting or bias. - Fix minor typo in IClMatMulNativeKernelConfig.h Partially Resolves : [COMPMID-6193] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Id494062b5b4f4e75ff9714c202dde941955afa52 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9797 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-06-23Implement FP32/FP16 MatMul NT/T kernel using the MMUL extensionRamy Elgammal
Resolves COMPMID-6195 Signed-off-by: ramy.elgammal@arm.com <ramy.elgammal@arm.com> Change-Id: I8e85fe73308ed84ebb142d6d6d1562b62dddfaa5 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9819 Reviewed-by: SiCong Li <sicong.li@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@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>
2023-06-16Add Fused Activation to OpenCL MatMulMohammed Suhail Munshi
- Added fused activation to MatMul function interface - Added fused activation to CL backend - Includes tests for supported Activation Functions in MatMul Resolves: [COMPMID-6192] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Ie103212b600b60699eaf6a6394d609e6e1f5aba6 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/522465 Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9714 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-05-15Raise abs_tolerance number for CL/DirectConvolution3D fp16 testsRamy Elgammal
Resolves: COMPMID-6255 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I602bcbf58f78e7384789cd077cfc3b549d53463e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9637 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-05-05Connect CLMatMul function to quantized kernels and resolve NE BatchMatMul ↵Jakub Sujak
int_8 failures * Adapt the CLMatMul function and ClMatMul operator to use quantized kernels. * Add function-level tests. Resolves: COMPMID-5929 and COMPMID-5811 Change-Id: I5348cdcf07b8074c138e04dfef0a73399377accd Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9575 Reviewed-by: Mohmun02 <MohammedSuhail.Munshi@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Comments-Addressed: 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>
2023-04-27Add quantized CL MatMul kernel for LHS NT, RHS TJakub Sujak
Implement a native kernel for batched Matrix Multiplication for the quantized data types QASYMM8 and QASYMM8_SIGNED and with the MatMul attributes `adj_x = false, adj_y = true`. Resolves: COMPMID-5923 Change-Id: I477b2dd886edfe83beaba9efc7d6b05ed19f5da4 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9467 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>
2023-04-20Implement CL kernel for a native batched matmul Quantized - LHS transposed, ↵Omar Al Khatib
RHS transposed Resolves: [COMPMID-5924] Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Change-Id: I9ba657737eb1e3a096c8341ad4ad311571f8edeb Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9454 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>
2023-04-17Add quantized CL MatMul kernels for Lhs NT/T, Rhs NTGunes Bayir
Implement OpenCL kernels for batched Matrix Multiplication for the quantized data types QASYMM8 and QASYMM8_SIGNED. Quantized MatMul is supported with the following MatMul attributes: * adj_x = false, adj_y = false * adj_x = true, adj_y = false We consider native format kernels only. In other words, no reshaping of the operand matrices is done. Resolves: COMPMID-5921, COMPMID-5922 Change-Id: I99e0f68054a2bd635c60ec2641acc2e7ff398473 Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> 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/+/9435 Reviewed-by: SiCong Li <sicong.li@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> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-04-14Align naming convention of ClMatMulJakub Sujak
Ensure naming of MatMul on GPU conforms to the naming convention <backend><operator><config> i.e. ClMatMul operator with the backend ClMatMulNativeKernel. Resolves: COMPMID-6015 Change-Id: I021d235b023ad17fe97bd6913e6a50d0ba4b194e Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9443 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>
2023-04-13Implement MatMul Function and Operator with Floating Point support for CPUMohammed Suhail Munshi
- Implements MatMul function and operator for floating point datatype FP16/FP32 - Includes support for transposing dynamic tensors prior to matrix multiplication. - Adds tests for 2D/3D/4D+ tensors in MatMul with F32/F16 datatype (with all combinations of transposed/not-transposed tensors) - Updates fixture to allow for testing fused activation in MatMul - Adds tests for matmul with and without fused activation Resolved: [COMPMID-5898] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Iefa84b26dd723c9a51e6c3f91023152c6c31ace2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9411 Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-04-04Fix unused variable warning reported in nightly nuildRamy Elgammal
Resovles: COMPMID-6002 Change-Id: Ifc2b7c889679b21d7e58f533be9c865854e132ef Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9408 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>
2023-04-04Support dynamic weights for Fully Connected layers on GPUJakub Sujak
The fully connected function and operator running on GPU have been adapted to support dynamic weights. Dynamic weights require the reshape and data layout conversion of weight tensors at runtime in the prepare stage of the operator. The implementation for GPU is identical to the CPU implementation. This patch also deprecates the `are_weights_reshaped` option in Fully Connected. Resolves: COMPMID-5870 Change-Id: I28f967695879d82cc91a928d95308a4e0e52a597 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9403 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>
2023-04-03Implement MatMul FunctionRamy Elgammal
Resolves: COMPMID-5949 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: Idd8cfe6ea94a14f0b23178f6781251b5f0955563 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9390 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>
2023-04-03Add Cropping to CLBatchToSpaceOmar Al Khatib
- Deprecate dynamic block shape interface - Iterate over output window instead of input window for simpler implementation and better performance. - Add cropping support and cropping tests Resolves [COMPMID-5865] Signed-off-by: Omar Al Khatib <omar.alkhatib@arm.com> Change-Id: Ic67d44a6a39299ecdafc507f12e3dc5d517dfb62 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9385 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>
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-27 08:15:54 +0000