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path: root/src/dynamic_fusion/sketch/gpu/template_writer/cl
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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>
2022-12-29Optimize CL Scale/Resize Quantized by removing (de)quant. codeGunes Bayir
This patch removes the quant/dequant code in CLScale and the Resize operator in dynamic fusion. We don't support different quantization information for input and output and in this case the quantization and dequantization is not necessary. The very same optimization was delivered for cpu. It also moves the SCALE_X and SCALE_Y arguments to look-up table from build options in the template writer of Resize. Change-Id: Icd043c8671220c8feea935dd4b24a5b17c6c4ea4 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8888 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: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: 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>
2022-12-28Implement 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>
2022-12-23Add 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>
2022-12-21Update direct conv2d kernel in dynamic fusionGian Marco Iodice
Resolves COMPMID-5780 Change-Id: I34c764cd1df652f8a938772924dc49baf6ac16db Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8825 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: 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>
2022-12-09Implement 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>
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