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2023-09-28Apply clang-format on repositoryFelix Thomasmathibalan
Code is formatted as per a revised clang format configuration file(not part of this delivery). Version 14.0.6 is used. Exclusion List: - files with .cl extension - files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...) And the following directories - compute_kernel_writer/validation/ - tests/ - include/ - src/core/NEON/kernels/convolution/ - src/core/NEON/kernels/arm_gemm/ - src/core/NEON/kernels/arm_conv/ - data/ There will be a follow up for formatting of .cl files and the files under tests/ and compute_kernel_writer/validation/. Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@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>
2023-01-06Handle 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>
2022-12-22Add is_supported_op interfaceSiCong Li
* This retains the behaviors of the current library's validate() method. I.e. is_supported_op() is used to check the support level and validity of an operator configuration without any consideration of fusion. - validate_op() interface still checks both the op validity and the fusion validity - This arrangement ensures that any users of the original validate() interface can expect to use is_supported_op() in exactly the same way with no performance or behavioral difference. * Force adding const tensors to ArgumentPack when adding to OperatorGroup. This is because OperatorGroup is only for validating fusion, and does not mutate TensorInfos at all Partially resolves COMPMID-5736 Change-Id: I4157677f55848d66a08ec00e6a76d13a24b722b7 Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8687 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@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>