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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>
2023-02-01Add Subtraction operator to Dynamic Fusion interfaceRamy Elgammal
Partially-Resolves: COMPMID-5518 Change-Id: I8358784815bcac461d50e384fa7bc96f476d3983 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9045 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Dynamic-Fusion: SiCong Li <sicong.li@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>
2023-01-31Add Multiplication operator (FP only) to Dynamic Fusion InterfaceJakub Sujak
Note: we use a separate test fixture for Multiplication op instead of reusing ElementwiseBinaryFixture to avoid exposing the internal enum ElementwiseOp to the public utils/TypePrinters.h as required by the data test case macros to print the test data. We also do not consider modifying the enum ArithmeticOp in the standard interface to include MUL without an implementation. Future work should consider refactoring this test fixture into the ElementwiseBinaryFixture to reduce the total number of fixtures/code duplication. Resolves: COMPMID-5779 Change-Id: I84207658ce0407095b028fca0ab7bfa2950255ec Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9013 Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-31Bazel and CMake buildsDavid Svantesson
Resolves: ONCPUML-1110, ONCPUML-1109 Co-authored-by: Georgios Pinitas <georgios.pinitas@arm.com> Co-authored-by: Joe Ramsay <joe.ramsay@arm.com> Signed-off-by: David Svantesson <david.svantesson@arm.com> Change-Id: Iea693dbe53bf0af87867d6a9e0d1fd9fbe59ef3a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8981 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-01-31Sync tolerance number of dynamic fusion direct conv2d with the current librarySiCong Li
Add descriptions and pointers in the tests to document the differences in test coverage between dynamic fusion and the current library, and most importantly, why the differences. This will come in handy when we want to quickly check if all old tests have been migrated so that we can safely deprecate / remove them. Resolves COMPMID-5840 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: Ie6227098979e51d7921810288f594beac19bce6f Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9043 Comments-Addressed: Arm Jenkins <bsgcomp@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>
2023-01-25Implement dynamic fusion softmax operatorRamy Elgammal
- Return aux tensorInfo by get_aux_tensors() at runtime to init the aux tensor with the right size. - Keep softmax unfusable for this commit - Hence, added Tensor3D to template writer arguments declaration, for sake of keeping dynamic fusion softmax componenets' kernels matching their cl counterparts. Resolves: COMPMID-5523 Change-Id: I667f39545db925f667036ef448302c79a0330373 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/483924 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8986 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>
2023-01-24Change dynamic fusion API to return destination tensor infoGunes Bayir
The new dynamic fusion API is introduced in the following patch: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8906 For each operator (except Conv2D, which is migrated in the above patch), we - remove destination tensor from is_supported, validate and create calls - make create_op return ITensorInfo* to the intermediate destination object Affected operators: - DepthwiseConv2D - Cast - Elementwise Ops - Clamp - Reshape - Resize Resolves: COMPMID-5777 Change-Id: Ib60ec8a5f081752808455d7a7d790f2ed0627059 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8991 Reviewed-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Dynamic-Fusion: Ramy Elgammal <ramy.elgammal@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-20Add missing direct conv2d tests to dynamic fusionSiCong Li
* Add direct conv2d tests as a separate fixture so that we can enable future direct conv2d specific tests * Move Conv2dAttributes to its own file Partially resolves COMPMID-5736 Change-Id: I530649488faf3bbed1a4fc7d16a74063bfdf33db Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8928 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>
2023-01-20Update libnpy header external dependency to the latest versionJakub Sujak
Primarily fixes build error when building with Clang14 due to warning of use of deprecated 'sprintf' function Resolves: COMPMID-5803 Change-Id: Iaa7df7ccc482fbeaa1978988ce61bbc8fd792ca1 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8802 Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-20Dynamic Fusion Pooling Layer 2dMohammed Suhail Munshi
- Adds Dynamic fusion PoolingLayer2D as Unfusable Operator - Indices are not supported - Adds tests for F32/F16 Datatypes Resolves : [COMPMID-5520] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: I0d112545eb9209c836bf9ea153069f8627531e0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8893 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-18Add broadcast batched matmul validation casesSiCong Li
Related to: COMPMID-5660 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: I2314c8b21acc638402c77080d59db2f3fed58fe2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8911 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Mohmun02 <MohammedSuhail.Munshi@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2023-01-17Fix 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>
2023-01-09Add extend padding lock flagRamy Elgammal
- ITensorInfo's padding cannot be extended if its lock_paddings flag is set to True. Resolves: COMPMID-5714 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I6bca9bbf7172822af60562310578c438b9e15f46 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8875 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-06Implement dynamic fusion reshape operatorRamy Elgammal
Resolves: COMPMID-5522 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: If4e5736a2f7ff42e70276d7f4e0f3ebcb38414e6 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8881 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-06Handle Intermediate tensors within the sketchGunes Bayir
- Intermediate tensor info objects are not created by the user anymore. They're returned from create_op and reused. This will prevent allocation of the intermediate tensors in case of possible interface misuse. - Sketch object handles intermediate tensor info pointers inside its implementation class via a unique pointer vector - Conv2d operator is migrated into the new interface Resolves: COMPMID-5776 Change-Id: I9422e3681eef4f2d2922f6d0a5d7786380837c6d Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8906 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> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-01-06LHS broadcasting addition for dynamic fusionViet-Hoa Do
* Binary elementwise operator now can have broadcasting in either X dimension, Y+Z dimension, or both, in either LHS or RHS operand. * Fix bug in CL code to support batching. Resolves: COMPMID-5704 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I51b04986d30861f255ca9f754adffa0e6c85a26b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8898 Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Ramy Elgammal <ramy.elgammal@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Dynamic-Fusion: Ramy Elgammal <ramy.elgammal@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-12-30Add temporary tile support for dynamic fusionViet-Hoa Do
* Multiple intermediate tensors can share the same tile. - A simple operator can reuse the input tensor for the result if the input tensor has the same shape, data type and it is only consumed by that operator. - The special case is a simple operator and an output operator consume the same tensor. However as the output operator doesn't change the content of the input tensor, it doesn't count as "consuming" the input tensor. * These temporary tiles are declared automatically by the template writer. Individual operator doesn't need to generate output tile declaration. * Cast is now simple operator. Resolves: COMPMID-5778 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I232647ac976645e2d266a62e055b9eb48c356a8e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8877 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-12-28Fix various compilation errorsViet-Hoa Do
Partially resolves: COMPMID-5794 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I275d0401be978e86507990bdb7dc5b1538a108d8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8884 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>
2022-12-28Add Resize/Scale operator to Dynamic Fusion interfaceJakub Sujak
Resolves: COMPMID-5521 Change-Id: Id38a4ce18f9ea8805a151acb064e72795535d1a0 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8859 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-12-23Add multiple output support for dynamic fusionViet-Hoa Do
* The dependency graph now can schedule any acyclic graph into a sequential list of operators. This is needed as the output operators now form branches in the graph. * Fix the definition of input, output and intermediate tensors in GpuKernelComponentGroup to support non-linear but sequential list of operators. * Add constraint on GpuOperatorGroup to enforce strictly linear fusion style, but allow output operator as the only form of branch. Resolves: COMPMID-5771 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I68de3a31a2456145081f0a397e4e61dd66327682 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8823 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-12-16Add output operator for dynamic fusionViet-Hoa Do
* The output of the fused operator must be explicitly specified using GpuOutput operator. * Any temporary tensors used to connect the output of an operator to the input of another operator will be marked as no-alloc and won't be allocated as a tensor in the memory. Resolves: COMPMID-5771 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I5ae8e800f8f737db23a055a92b01c4f1d78c3bb8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8794 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-12-13Add CLAMP operator to Dynamic Fusion interfaceJakub Sujak
Add the CLAMP activation function for GPU backend with generic activation Component and TemplateWriter modules. CLAMP is internally implemented as LU_BOUNDED_RELU activation function with the alpha and beta variables swapped. We do NOT consider in-place computation cases in this patch. * CLAMP operator for GPU backend. * Activation Component and TemplateWriter for CL backend. * TemplateWriter generates tiled kernel code. * Supported data types: F16, F32. * Validation tests for CLAMP operation. Resolves: COMPMID-5519 Change-Id: Ieb097d6b1e6a7ed2b882518e88314454efb402f6 Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8762 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>
2022-12-12Redistribute CL/Deconvolution QSYMM8_PER_CHANNEL testsGunes Bayir
This patch significantly reduces the pressure of CL Deconvolution tests for QSYMM8_PER_CHANNEL on the precommit and migrates some of them to nightly, while adding smaller tests for precommit. Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I3ba16cb3ebc11b5f6015f97423b0496ee2449cc7 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8782 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-12-09Implement Cast operator in dynamic fusionGunes Bayir
The operator is migrated into dynamic fusion for all data types supported Resolves: COMPMID-5693 Change-Id: I3c550d3d1cd04570f453beae678c3f60d4cb1a73 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8755 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>
2022-12-09Implement the OpenCL kernel to compute the indirect convolutionGian Marco Iodice
- Implement indirect convolution kernel - Add operator support - Add test Resolves COMPMID-5709 Change-Id: I9272304163471a5a40da7fdec204599f3c1d8e32 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8701 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>
2022-11-29Adding GpuAdd to dynamic fusion operatorsRamy Elgammal
- Provide support for Add operator - Auto initialize the destination tensor before testing fusion in conv2d and elementwise binary ops. Resolves: COMPMID-5518 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: Ibd815020f02b57f88eea7c2921bdcf98605d99c5 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8617 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-28Integrate SME2 kernelsViet-Hoa Do
* Add SME/SME2 detection. * Integrate SME2 implementation for: - Normal convolution - Winograd - Depthwise convolution - Pooling Resolves: COMPMID-5700 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I2f1ca1d05f8cfeee9309ed1c0a36096a4a6aad5c Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8692 Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-11-28Implement FP32/16 Depthwise Conv2d operator in dynamic fusionGunes Bayir
This patch adds Depthwise Conv2d operator into dynamic fusion interface and adds the associated tests. Resolves: COMPMID-5517 Change-Id: I385c94dff7fd40c72b8337ef797e508df4499a82 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8678 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-25Implement address precalculation for indirect conv2d - OpenCLGian Marco Iodice
- Implement kernel (ClIndirectConv2dAddressPrecalculationKernel) - Implement OpenCL kernel (indirect_convolution.cl) - Add test Resolves COMPMID-5708 Change-Id: If7408e37cbc6f9ad8506ff3334bc574e5d6763fb Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8661 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>
2022-11-22Remove dynamic fusion prototype with tests and examplesSiCong Li
Public headers of the new experimental dynamic fusion can be found in arm_compute/dynamic_fusion/ New examples on how to use the interface can be found in tests/validation/dynamic_fusion/gpu/Integration.cpp Resolves COMPMID-5683 Change-Id: I7ccb902a227fb487562df15fc3c30118d1d95bbd Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8671 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> 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>
2022-11-22space-to-depth shape calculator fixRamy Elgammal
Resolves: ARMCL-592 Change-Id: If036a2b6d2842db2ed750e9d350bfaa3f7a76c9e Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8668 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-11-15Fix GemmLowp BatchMatMul Tests to use quantized OutputsMohammed Suhail Munshi
- Fix includes int8/uint8 quantized inputs - Bias S32 value is limited to better allow detection of mismatches in gemmlowp kernel Resolves: [COMPMID-5659] Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Change-Id: Ie9cca430c6ab66253fe1d5252bd2c5396c7f38cf Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8514 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-14Optimize Transposed Convolution for CL backend (FP32/16)Gunes Bayir
This patch optimizes transposed convolution for CL backend by rewriting it in a single kernel instead of three (flip_kernel + upsample + conv). The new kernel skips the upsampling step which reduces the input space of convolution by stride_x * stride_y, resulting in significant performance improvement. It also skips the kernel flipping by traversing the weights accordingly, thus reduces the memory footprint. Resolves: COMPMID-5676 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I8a333212dc7c5f7f0597aa58b0d56d44814baa14 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8588 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-08SVE 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>
2022-11-04Fix compiler warnings in dynamic fusionSiCong Li
Resolves: COMPMID-5686 Change-Id: I608c359583c44f2f04f29faddd1c6b38a381de60 Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8562 Benchmark: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2022-11-03Fix activation block in gemm.clGian Marco Iodice
- Replace VEC_SIZE with N0. VEC_SIZE was used in the old gemm kernel and not used anymore in the existing ones Resolves COMPMID-5678 Change-Id: Ia770200b9d6e24c51c57347e4634fb8eadd10385 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8556 Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> 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>
2022-11-02Add Dynamic Fusion GpuConv2d FP32/FP16 testcaseRamy Elgammal
Resolves: COMPMID-5511 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I0ac0acbf1de7da09f18f7b457307ec3cc99deb3b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8546 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>
2022-11-02Partially Revert "Add threshold for floating-point SOFT_RELU activation"Gunes Bayir
Revert the range removal in tests for soft relu and bring the former implementation in CL backend back. Resolves: COMPMID-5677 Change-Id: I35d5ac03a134299041ce97aabc9fff2d4380d09f Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8551 Reviewed-by: Milos Puzovic <milos.puzovic@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>
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>
2022-11-01Add threshold for floating-point SOFT_RELU activationMilos Puzovic
Added missing threshold for calculating SOFT_RELU when SVE and CL implementations are used. As a result removed from the testing bounds for input values that were set to be in the interval [-40, 40]. Resolves: COMPMID-5658 Signed-off-by: Milos Puzovic <Milos.Puzovic@arm.com> Change-Id: I3d14df60125e36e4eb85aeb222f4fb0cc5741521 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8536 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> Tested-by: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2022-11-01Rewrite dynamic fusionSiCong Li
The new version introduces the following major changes: * Change public interface to simplify and standardize the user experience - Use the term "Workload" uniformly - Simplify operator interface to be a set of static methods: validate_op(), create_op() * Separate the kernel writing into its own component (template_writer). This is to allow the co-development of GpuKernelWriter, and to allow easy replacement once GpuKernelWriter is mature. * Optimize the core fusion algorithm used by the component graph. The details can be found in GpuKernelComponentGraph::fuse() * Use Gpu instead of Cl prefixes for most of the Workload interfaces (except for runtime and kernel components, which have to be language specific) This allows the potential extension to other Gpu langauges in the future. * Refactor runtime memory interface so that auxiliary tensor handling is separate from the user tensor passing. This is because the former is less stable and may require extension in the future. * Hide source code object from the user as it is not required at the moment * Deprecate the old prototype entirely by disabling it in SCons build Resolves COMPMID-5510, COMPMID-5512, COMPMID-5513 Change-Id: If69d2362856f2de4503546b7b6cf48a525cf3079 Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8406 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@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>
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>
2022-10-19Fix FFTConvolutionLayer testViet-Hoa Do
* Do not change the tensor info after configure stage. * By fixing this, the 1D optimization for activation layer can be applied to all data types and tensor layout. Resolves: COMPMID-5644 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I557f9bb84e5e456c28d6b423584887d7a3648ad4 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8470 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Mohmun02 <MohammedSuhail.Munshi@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-10-06Rework DepthwiseConvolution heuristic on OpenCLGian Marco Iodice
Resolves COMPMID-5632 Change-Id: I2bdbe69a610ca2510fbd74d5d412842679299762 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8365 Benchmark: 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> Comments-Addressed: 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>
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-23 19:17:09 +0000