aboutsummaryrefslogtreecommitdiff
path: root/arm_compute/dynamic_fusion
AgeCommit message (Collapse)Author
2024-02-01Use the stable CKW API in the GPU dynamic fusion backendGunes Bayir
- Refactor all kernels to work with the CKW stable API - Add support for sub-tile in the op_load/op_store CKW operator - Fix mismatch in resize - Add comments in all kernels written with CKW to help developers understand the structure of the code - Add texture image support in depthwise convolution written with CKW - Add support for different block sizes in depthwise convolution - Remove the use of the dynamic fusion helper functions. - Add support for floor in the op_unary() of CKW Resolves: COMPMID-6708, COMPMID-6743, COMPMID-6530 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Signed-off-by: Jakub Sujak <jakub.sujak@arm.com> Change-Id: I8104ce4d04a3138a1aeb0b84940e1f1c89e76069 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10914 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> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2024-01-23Make GpuWorkloadContext own all tensor info objectsViet-Hoa Do
* The tensor info objects created by calling create_tensor_info is now solely owned by the context object. The user only receives pointers to those objects. - Internally pointers to tensor info objects are used in various places. It's safer for dynamic fusion to manage these objects directly rather than relying on the users. - The validation test is updated to use the modified API. * Make various changes in dynamic fusion API to make it more friendly (e.g. making some of the objects moveable). Partially resolves: COMPMID-6707 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: Ifee70e53c05f8e7b72bf9ef123701ff291c5ee80 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10990 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>
2023-10-10Port MatMul to Dynamic Fusion + CKW boilerplate codeAdnan AlSinan
- Port Matmaul to to Dynamic Fusion. - Prepare a CKW boilerplate code. - Implement the following classes: - MatMulAttributes - GPUMatMulSettings - GpuMatMul - ClComponentMatMul - GpuCkwMatMul Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I5a7c183b293973e8a4233b554b2affe0bb28f44d Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10453 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>
2023-09-28Apply 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>
2023-08-31Port ClTemplatePool2d to ckwAdnan AlSinan
- Fixes a bug when using FP16 constant in some cases. - Adds op_write_raw_code to handle some special cases. - Ports MxN pooling 2d layer into ckw. - Adds unary function 'negate' to ckw. - Updates pool2d validation tests to include store op. Resovles COMPMID-6263 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: If8c683761fead79bd519aef28cc65de78d3ec629 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10172 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2023-06-12Add multi-sketch support for dynamic fusionViet-Hoa Do
* Tensors are owned by workload context instead of workload sketch so that they can be used by multiple sketches. * Add an integration test for multi-sketch case. Resolves: COMPMID-6148 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I37d0de5ac103fb2a85020aa1c26e49eb304f47b7 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9706 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>
2023-03-07Add sigmoid and tanh for dynamic fusionViet-Hoa Do
* Add sigmoid and tanh activation functions for dynamic fusion. * Add corresponding tests, but both activation functions share the same fixture implementation. Resolves: COMPMID-5939 Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com> Change-Id: I0aae0eaa18b746ce89680d2773c66e09b0f854ce Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9257 Reviewed-by: Jakub Sujak <jakub.sujak@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>
2023-02-28Add an option to use lowest for max-poolingAdnan AlSinan
- Add a parameter in PoolingLayerInfo class to pick which value to use as min for max-pooling. Resolves: [ONCPUML-1166] Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: I34e1cccc15176bbf31523c61e99f3188ddca23e1 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8989 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@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>
2023-01-31Add 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>
2023-01-25Implement 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>
2023-01-20Add Auxiliary tensorsSiCong Li
The asssign_memory_descriptors method could not automatically assign Auxiliary tensors. Therefore changes are made to allow developers to explicitly mark auxiliary tensors. However, to avoid ambiguity between auxiliary and "intermediate" tensors, we solidify the definitions of both: Intermediate tensors are a strictly topological term. They are defined as "inner" tensors within a workload, hidden from the user, as opposed to input and output tensors exposed to the users. Auxiliary tensors are a subcategory of Intermediate tensors, and are also about memory allocation. They are intermediate tensors that need real memory backing. For more details please see the documentation of MemoryType enum Rename MemoryType::NoAlloc to MemoryType::Virtual Partially resolves: COMPMID-5523 Signed-off-by: SiCong Li <sicong.li@arm.com> Change-Id: Ibde44c2ec1570be9423e0fb38b53bb136ffc36dd Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8940 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@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>
2023-01-06Implement 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>
2022-12-28Implement Logits1DMaxShiftExpSum kernel component in dynamic fusionGunes Bayir
Resolves: COMPMID-5719 Change-Id: I2f0911ffccce2b42a9a63fe6826eaa5d2cad06ba Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8831 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: 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>
2022-12-22Add 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>
2022-12-16Add 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>
2022-12-09Implement 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>
2022-12-09Use heuristics for setting dynamic fusion direct conv2d tile sizesRamy Elgammal
Resolves: COMPMID-5735 Change-Id: I9958413b69c5052cfa205dd0e9457cc4953aaf35 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/474818 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8724 Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: 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>
2022-11-28Implement 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>
2022-11-01Rewrite 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>
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-15 16:49:51 +0000