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| author | SiCong Li <sicong.li@arm.com> | 2022-01-28 18:24:39 +0000 |
|---|---|---|
| committer | SiCong Li <sicong.li@arm.com> | 2022-05-06 15:01:45 +0000 |
| commit | b63b1196adea8b07dd8db77c2492a212650deba0 (patch) | |
| tree | b264035197873f56c69784bec68cad7041b5d423 /arm_compute/runtime/CL/CLScheduler.h | |
| parent | 3bb72b69566f18ad5c9446d318d2fc2b5f6dba42 (diff) | |
| download | ComputeLibrary-b63b1196adea8b07dd8db77c2492a212650deba0.tar.gz | |
Integrate Dynamic Fusion patches
* Add public interfaces:
* OperatorGraph: Describe a workload that could contain fused kernels
* IWorkload: Generic interface for workloads built from OperatorGraph
* ClWorkload: OpenCL workloads built from OperatorGraph
* ClCompositeOperator: Runtime async operator to execute a ClWorkload
* DependencyGraph (will likely be deprecated in later iterations)
* Add example
* cl_fused_conv2d_elementwise_add.cpp to explain how to use the new
interfaces
* Add internal translation layer
* Refactor ClKernelBuildingAPI
* Remove non-tile based gemm native kernel component
* Minor interface changes
* Add integration tests
Resolves COMPMID-5161
Signed-off-by: SiCong Li <sicong.li@arm.com>
Change-Id: Ib987ed79289ab0bcbd3130d54f5793408d9f1240
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7510
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/CLScheduler.h')
| -rw-r--r-- | arm_compute/runtime/CL/CLScheduler.h | 7 |
1 files changed, 2 insertions, 5 deletions
diff --git a/arm_compute/runtime/CL/CLScheduler.h b/arm_compute/runtime/CL/CLScheduler.h index 5bfaaf4b5d..3919635d1b 100644 --- a/arm_compute/runtime/CL/CLScheduler.h +++ b/arm_compute/runtime/CL/CLScheduler.h @@ -42,7 +42,6 @@ namespace experimental { namespace dynamic_fusion { -struct TensorBinding; struct ClExecutionDescriptor; } // namespace dynamic_fusion } // namespace experimental @@ -113,15 +112,13 @@ public: #if defined(ENABLE_EXPERIMENTAL_DYNAMIC_FUSION) /** Schedule the execution of the passed kernel if possible. - * Use TensorBinding instead of ITensorPack for working with dynamic fusion - * @note Does not support dynamic tuning yet * * @param[in] kernel Kernel to execute. * @param[in] tensors Map containing the tensors to operate on. * @param[in] exec_desc Execution descriptor * @param[in] flush (Optional) Specifies if the command queue will be flushed after running the kernel. This will be ignored if job chaining is enabled. */ - void enqueue_op(ICLKernel &kernel, experimental::dynamic_fusion::TensorBinding &tensors, const experimental::dynamic_fusion::ClExecutionDescriptor &exec_desc, bool flush = true); + void enqueue_op(ICLKernel &kernel, ITensorPack &tensors, const experimental::dynamic_fusion::ClExecutionDescriptor &exec_desc, bool flush = true); #endif // defined(ENABLE_EXPERIMENTAL_DYNAMIC_FUSION) @@ -218,7 +215,7 @@ private: void flush_queue(bool flush); #if defined(ENABLE_EXPERIMENTAL_DYNAMIC_FUSION) - void enqueue_common(ICLKernel &kernel, experimental::dynamic_fusion::TensorBinding &tensors, const experimental::dynamic_fusion::ClExecutionDescriptor &exec_desc, bool flush); + void enqueue_common(ICLKernel &kernel, ITensorPack &tensors, const experimental::dynamic_fusion::ClExecutionDescriptor &exec_desc, bool flush); #endif // defined(ENABLE_EXPERIMENTAL_DYNAMIC_FUSION) /** Flag to ensure symbols initialisation is happening before Scheduler creation */ |