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2023-05-10Fix validation issue with CPU scale on FP16Viet-Hoa Do
* In multi-isa build with v8a base arch, FP16 is only available in SVE kernels, hence the support for FP16 depends on runtime environment. * To simplify the test, the data type test is disable on FP16 if the base arch doesn't have FP16 support. Resolves: COMPMID-6232 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Iee6179e1b87d3e7f4349e228479ff170285e4841 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9599 Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-05-03Guards to make NEReorder aarch64 onlyDavid Svantesson
Resolves COMPMID-6151 Signed-off-by: David Svantesson <david.svantesson@arm.com> Change-Id: I0e8c957f3460633c32ef57be0cdc44a53b8c3e88 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9553 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>
2023-04-28Reorder 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>
2023-04-26Only define validation test tolerance for quantized types in case of aarch64 ↵Ramy Elgammal
for Neon™ Matmul Partially Resovles: COMPMID-6026 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I273b213abba275f1609eae33058e3acbee2a7146 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9489 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-04-24Disable Neon/MatMul/Quantized for armv7aRamy Elgammal
- All the GeMM CPU assembly kernels for integer datatypes require aarch64 Resolves: COMPMID-6026 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I34bb0d5ca5cc3684b996df851227fcd0ad452586 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9481 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Mohmun02 <MohammedSuhail.Munshi@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>
2023-04-17Fix unhandled case in ElementwiseUnaryRamy Elgammal
- Case: when the dequantized float value < 0.f the unary op was not called if operator is not LOG or RSQRT Resolves: COMPMID-5994 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I24d69db22042701f506188ace91ea4ab3dafeccf Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9437 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
2023-04-14Fix dynamic weights for CPU connected layerViet-Hoa Do
Resolves: COMPMID-5995 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I707b8918bebee7e70d4de5207ef555c806e7a305 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9405 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-04-13Increase tolerance for SME kernelsViet-Hoa Do
Resolves: COMPMID-5904 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I03bc51a7c5b05cca5db16a39f95e92d72240ab3a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9420 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>
2023-04-13Implement 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>
2023-04-11Enable quantized data types for CpuElementwiseUnary on Armv7aRamy Elgammal
- Adding fallback functions neon_qasymm8_signed_elementwise_unary() and neon_qasymm8_elementwise_unary() - They would be called in case target is not aarch64 Resolves: COMPMID-5994 Change-Id: Id0db1e7cb0fe92f1eaef0b3a9ed2bea01b3f2a15 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9416 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>
2023-03-30Add cropping support to NEBatchToSpaceSiCong Li
- 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-5918 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: Ifea0f5f7760ffd0f4d5d4f3a5ae8d14d0b98b790 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9378 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>
2023-03-29Fix GCC13 compiler errorsPablo Marquez Tello
* Removed namespace arm_compute::utils::requires to fix the build error ‘requires’ is a keyword in C++20 [-Wc++20-compat] * Added missing includes for cstdint.h * Resolves MLCE-1040 Change-Id: I08842a273a4422f8e9b10daded680f521efe26e0 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9388 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-29Add additional FP16 guards to Convolution LayerNathan John Sircombe
Adds additional ARM_COMPUTE_ENABLE_FP16 guards to Convolution layer testing to ensure that validation suite passes on armv8a hardware when built with arch=armv8a, and multi_isa=0. Partially resolves ONCPUML-1209 Change-Id: Ib485502e534df1fa91c5c2d7b222ea08a354cc54 Signed-off-by: Nathan John Sircombe <nathan.sircombe@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9383 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>
2023-03-29Add quantized support for unary elementwise in CPUViet-Hoa Do
* Add quantized unary elementwise in CPU using LUT. * Widen the input data range of the test suite. - Fix CPU exponential function overflow/underflow range. - Fix saturation issue of CL round operator. Resolves: COMPMID-5763 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I41445de2b4a33ec6b01e0ab701516c240c852d0b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9367 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-03-21Add dynamic weights for CPU fully connected layerViet-Hoa Do
Resolves: COMPMID-5917 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I073067b490f2a1b96b81a037ea431c9a2e5c7503 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9322 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>
2023-03-01Add support for kernel indices in MaxpoolAdnan AlSinan
- Add a max pooling implementation that returns kernel indices. - Add a parameter in pooling info object to pick kernel indices impl. - Add validation tests. Resolves: [ONCPUML-1187] Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I485ef1604f676ee14d5f7f62d33699e49c38e4d3 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9192 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>
2023-02-24Fixes for CMake and Bazel builds, tests failing in sconsDavid Svantesson
- Fix 4 failing tests for multi_isa builds when experimental_fixed_format_kernels=1 - Fixes for CMake and Bazel builds to pass validation tests - Update documentation, remove “-DCPPTHREADS=1” flag from CMake build example Partially resolves: ONCPUML-1181 Signed-off-by: David Svantesson <david.svantesson@arm.com> Change-Id: I7101676260a0adcb7b6ff6f4342ae36f921e7120 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9189 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>
2023-02-10Fix DeconvolutionLayer tolerance issues in FP16 testsGunes Bayir
This patch increases the tolerance value used for FP16 tests in Neon(TM) backend. The tolerance number means 0.01f means it is ok to have 1% mismatch in the resulting tensor between the reference and the target. The value adopts a slightly stricter threshold compared to ConvolutionLayer (which is currently at 7%). This increase makes sense because Deconvolution layer uses convolution under the hood. Resolves: COMPMID-5841 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: Ie0ebf5cce1e9753dc641a947d84128dd6da402d4 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9120 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: Sang Won Ha Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-02-03Disable AddMulAdd armv7a testsGunes Bayir
The AddMulAdd assembly kernels only support aarch64. This patch disables the tests associated in case the build is not for aarch64. Resolves: COMPMID-5850 Change-Id: Ib2768fd6bf2497420ff224daa243027d0a69c76b Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9076 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-02-01Fix GEMMLowp/Batched MatMul mismatches on CPUMohammed Suhail Munshi
- Fixes Column Offset matrix is not being iterated through in y dimension Resolves : COMPMID-5795 Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I0190474be404b4f0e171855739cfd0a48cbed5bc Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9020 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-02-01Add new operator AddMulAdd for Neon™ backend for Float/Quantized typesGunes Bayir
This is a fused operator that merges Add + Mul + Add [+ Relu-based-Activation] layers and have an intermediate output after the first Add. It's supported for FP16/32/QASYMM8/QASYMM8_SIGNED data types. The subsequent Add and Mul are intended for scaling and the coefficients only have one dimension (per channel). The inputs are - input1 : nD tensor [X, Y, Z, W, ..] - input2 : nD tensor [X, Y, Z, W, ..] - add_coef : 1D tensor [X] - mul_coef : 1D tensor [X] The outputs are - out1 : nD tensor (intermediate output) [X, Y, Z, W, ..] - out2 : nD tensor (final output) [X, Y, Z, W, ..] The operation can be summarized as follows: out1 <- input1 + input2 out2 <- Act(out1 * mul_coef + add_coef) The activation function can be Identity, Relu, Bounded Relu or Lower/Upper Bounded Relu. The intermediate output can be skipped by providing a nullptr. The reason of providing this operator is to be able to fuse in case of Residual network patterns and save computations by reducing memory back and forward. Resolves: COMPMID-5463 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I8ef577aa623b036e9a9f655cc088493fd19a6109 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9055 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-02-01Remove fixed format strides hackJonathan Deakin
- Remove hack in CpuGemmAssemblyDispatch.cpp which tried to guess strides for fixed format kernels. Instead, expect that strides will have been correctly set on weights externally - Update fixed format test fixtures to set the strides - If the fixed format uses fast math mode, then weights should be of type BFLOAT16. Change the validation logic to accept this. Resolves: [ONCPUML-1131] Co-authored-by: Milos Puzovic <Milos.Puzovic@arm.com> Change-Id: I0f18d8b86b0f639be25fd122fa06a591e90645f2 Signed-off-by: Jonathan Deakin <jonathan.deakin@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8985 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>
2023-01-17Fix ClGemm crashes on unsupported data typesSiCong Li
Resolves COMPMID-5814 Change-Id: I09b206374cf3844c09aebd3c664daec9c2335e6d Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8953 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-11Deprecated BF16 support in DepthConvertPablo Marquez Tello
* Removed BF16 validation tests for DepthConvert * Revert back to using inline assembly to convert to/from BF16 * Resolves COMPMID-5800 Change-Id: I803b2ad19ead297417f780c97c5b724cca6b394c Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8929 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> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2023-01-10Fix CL DirectConvolutionLayer validate testsSiCong Li
* Add missing activation infos * Remove faulty test "Shrink window" * Split the tests based on data layout * Fix ClDirectConv2dKernel::validate logic Fused activation in NCHW is not supported at all Resolves: COMPMID-5801 Change-Id: I64dfbd24b77bb02fb4a88b73d5ef84676d85b4fd Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8899 Reviewed-by: Jakub Sujak <jakub.sujak@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>
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>
2022-11-08SVE Hard-Swish via Lookup table for quantized inputPablo Marquez Tello
* Datatype supported qasymm8 and qasymm8_signed. * Resolves COMPMID-5211 Change-Id: Ib161af3af5ad11ec6b46de0bf4fbac172d2525fb Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7729 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-01Updateable weights in depthwise convolutionMilos Puzovic
Check whether weights are defined as constant, if they are not constant then do not pack them if they are already packed so that they can be updated. Signed-off-by: Milos Puzovic <Milos.Puzovic@arm.com> Change-Id: I73447e31e3660b05f8f40e04ea4ea2003eb9b802 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8539 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-10-20Update reinterpret tensor as 1D for CPU addViet-Hoa Do
* Use the same implementation as other layers. Resolves: COMPMID-5108 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I5a50259b398b71ca1f61b5ee8daa539bf8263fac Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8501 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>
2022-10-20Add test in GEMMLowp for batch matmulMohammed Suhail Munshi
- Adds tests for batched matrix multiplication - Bugfix for issue : 3d tensors input tensors with offsets in GemmLowp results in mismatches Resolves : [COMPMID-5507] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I68e036fbca642c1841dd4321033045aadc8f5636 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/461298 Comments-Addressed: bsgcomp <bsgcomp@arm.com> Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8482 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>
2022-10-03Fix Batch Matmul nightly failureAdnan AlSinan
Resolves COMPMID-5601 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I1baf92c4751d784d017c0b2f7de1fc09e42ce69c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8309 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>
2022-10-03Optimize CPU add layer on quantized dataViet-Hoa Do
* Use fixed-point arithmetic where possible. * Various optimization for the FP32-based implementation. This implementation is kept as the fall-back solution in case of unrealistic quantization parameters that exceed the range of fixed-point solution. Resolves: COMPMID-5458 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I221d2d3801ecaae4fe0b7cf6ae8ef00ca3743665 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8317 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>
2022-09-26Add FP32 Neon™ swish activationJonathan Deakin
Change-Id: Id37b59adbc8c4cbe218d1652aeb02a0b4ce42c66 Signed-off-by: Jonathan Deakin <jonathan.deakin@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8256 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@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>
2022-09-14INT8 Quantized MeanStdDevNorm (LayerNorm)Murray Kornelsen
Implements LayerNorm for qasymm8 tensors. Uses uint8x16 loads and stores. Summation is performed in integer arithmetic (vpaddl) Normalization is performed in float32 before requantizing back to int8. Signed-off-by: Murray Kornelsen <murray.kornelsen@mail.mcgill.ca> Change-Id: I2407c8b34717fb47adab98791bd76fb8a3c62f4a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7922 Comments-Addressed: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-09-13Add test case for disable Winograd on fp16 if fast-math = falseRamy Elgammal
Resolves: COMPMID-5531 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: Id1a5f909d64e897cdef2e920240ac5ae244166b4 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8242 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>
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>
2022-08-04[ONCPUML-970] Fast math mode for fixed format kernelsPablo Marquez Tello
Minor tweaks and test for running fixed format kernels with BF16 operations when specified by the user. Change-Id: Ic8167f67b86b1298da65e46cfebed9f3b86940e4 Signed-off-by: Milos Puzovic <milos.puzovic@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8000 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>
2022-08-01Optimize add layer by considering the input tensors as 1D arrayGunes Bayir
Resolves: COMPMID-5108 Change-Id: I544f8160fbe5b4ffbef348d1fbd3dd626a6e1bdb Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8002 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-07-26Fix for inclusion of "arm_gemm" from src into "Types.h" from coreRamy Elgammal
- Added arm_compute::WeightFormat and converted to/from arm_gemm::WeightFormat when needed through two map function. - Moved to_string(WeightFormat) to TypePrinter.h Resolves: COMPMID-5415 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I65f7942100bcd4dbf2c5cf6c07f26c8e1e3bf86e Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/438511 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com> Reviewed-by: Sicong Li <sicong.li@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7985 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-07-25Enable march=armv8.6-a in non multi-isa buildsPablo Marquez Tello
* scons arch=armv8.6-a translates to -march=armv8.6-a * scons arch=armv8.6-a-sve translates to -march=armv8.6-a+sve * scons arch=armv8.6-a-sve2 translates to -march=armv8.6-a+sve2 * Resolves COMPMID-5408 Change-Id: I0901e1de864d00109759509af7cc2b5c9ae1cd75 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7943 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>
2022-07-19[ONCPUML-951] Variable weight support for Convolution.Francesco Petrogalli
API changes for NEGEMMConvolutionLayer and CpuGemmConv2d Built with: scons neon=1 opencl=0 os=linux arch=armv8.2-a multi_isa=1 \ build=native -j32 Werror=false validation_tests=1 build_dir=opt \ standalone=1 asserts=1 experimental_fixed_format_kernels=1 . Tested with: ./build/opt/tests/arm_compute_validation Hardware where the test executable was run: Neoverse N1 Test coverage: * NEGEMMConvolutionLayer, CpuGemmConv2d * NHWC (the only one supported by the fixed-format kernels) * F16, F32 * Shapes: RunSmall Change-Id: I4fd3e495a7cbf61210ea02d37440ba9652934e99 Signed-off-by: Francesco Petrogalli <francesco.petrogalli@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7632 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>
2022-07-13Fixed clang-cl errors on Windows native builds.Pablo Tello
Partially resolves MLCE-739 Change-Id: Ice06a96d6a8a26b31e334ba4e697cd41d352b026 Signed-off-by: Pablo Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7364 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>
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>
2022-06-07Compute Hard-Swish with a Lookup table for qasymm8.Pablo Marquez Tello
* Resolves COMPMID-5211 Change-Id: I5914f971d733174dae67e6b4c589f45c75733cf7 Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7654 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Tested-by: 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>
2022-04-25Add LU_BOUNDED_RELU support for QSYMM16Pablo Marquez Tello
Partially resolves MLCE-604 Change-Id: Id585ab19fe5cd8f61c07a0aae6faac6ba5545d6d Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7379 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-17 06:15:13 +0000