thread_local _custom_scheduler

Resolves ONCPUML-1331

This patch adds an option to make _custom_scheduler thread_local to
support usage of multiple schedulers handled outside of ACL.
It also adds num_threads() function to Scheduler which reverts to
querying CPUInfo if no scheduler has been set.

Change-Id: Iff706165d8d091895331a5bb3a76f6cabe048912
Signed-off-by: David Svantesson-Yeung <david.svantesson-yeung@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10748
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>

5 files changed, 48 insertions, 22 deletions

diff --git a/src/cpu/operators/CpuDepthwiseConv2dAssemblyDispatch.cpp b/src/cpu/operators/CpuDepthwiseConv2dAssemblyDispatch.cpp
index 8d3741de96..8507c59e6b 100644
--- a/src/cpu/operators/CpuDepthwiseConv2dAssemblyDispatch.cpp
+++ b/src/cpu/operators/CpuDepthwiseConv2dAssemblyDispatch.cpp
@@ -60,8 +60,8 @@ void CpuDepthwiseConv2dAssemblyDispatch::configure(const ITensorInfo     *src,
                                                    const ConvolutionInfo &info)
 {
     ARM_COMPUTE_LOG_PARAMS(src, weights, bias, dst, info);
-    const CPUInfo     &ci          = NEScheduler::get().cpu_info();
-    const unsigned int num_threads = NEScheduler::get().num_threads();
+    const CPUInfo     &ci          = CPUInfo::get();
+    const unsigned int num_threads = NEScheduler::num_threads();
     _pImpl->is_prepared            = false;
     _pImpl->are_weights_const      = weights->are_values_constant();
 
diff --git a/src/cpu/operators/CpuPool2d.cpp b/src/cpu/operators/CpuPool2d.cpp
index b72bde6978..d00efd191d 100644
--- a/src/cpu/operators/CpuPool2d.cpp
+++ b/src/cpu/operators/CpuPool2d.cpp
@@ -69,8 +69,8 @@ void CpuPool2d::configure(ITensorInfo *src, ITensorInfo *dst, const PoolingLayer
 
     if (run_optimised)
     {
-        const CPUInfo     &ci          = NEScheduler::get().cpu_info();
-        const unsigned int num_threads = NEScheduler::get().num_threads();
+        const CPUInfo     &ci          = CPUInfo::get();
+        const unsigned int num_threads = NEScheduler::num_threads();
 
         auto pooling_wrapper = std::make_unique<kernels::CpuPool2dAssemblyWrapperKernel>();
         ARM_COMPUTE_ERROR_ON(pooling_wrapper == nullptr);
diff --git a/src/cpu/operators/CpuWinogradConv2d.cpp b/src/cpu/operators/CpuWinogradConv2d.cpp
index e4bcdc0b64..1fb6d33a61 100644
--- a/src/cpu/operators/CpuWinogradConv2d.cpp
+++ b/src/cpu/operators/CpuWinogradConv2d.cpp
@@ -103,7 +103,7 @@ bool get_winograd_kernel_implementation(const ITensorInfo
     Tensor4DShape  in_shape{internal_get_shape(src)};
     Tensor4DShape  out_shape{internal_get_shape(dst)};
     Tensor4DShape  kernel_shape{internal_get_shape(weights)};
-    uint32_t       nthreads = NEScheduler::get().num_threads();
+    uint32_t       nthreads = NEScheduler::num_threads();
     // Get configuration arguments for Winograd
     winograd_cfg.output_rows = 0;
     winograd_cfg.output_cols = 0;
@@ -183,7 +183,7 @@ void CpuWinogradConv2d::configure(const ITensorInfo         *src,
     ARM_COMPUTE_LOG_PARAMS(src, weights, biases, dst, conv_info, act_info, enable_fast_math);
     ARM_COMPUTE_UNUSED(biases);
     const DataType data_type = src->data_type();
-    uint32_t       nthreads  = NEScheduler::get().num_threads();
+    uint32_t       nthreads  = NEScheduler::num_threads();
     _data_layout             = src->data_layout();
     const Tensor4DShape kernel_shape{internal_get_shape(weights)};
 
@@ -361,7 +361,7 @@ void CpuWinogradConv2d::run(ITensorPack &tensors)
     auto   output = tensors.get_tensor(ACL_DST);
     Window win;
 
-    const uint32_t nthreads = NEScheduler::get().num_threads();
+    const uint32_t nthreads = NEScheduler::num_threads();
 
     // The Winograd transform implementation does fine-grain threading inside the transforms. Just pass thread_id and nthreads.
     win.set(Window::DimX, Window::Dimension(0, nthreads, 1));
diff --git a/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp b/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp
index 611bc76463..7f851aa755 100644
--- a/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp
+++ b/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp
@@ -579,9 +579,8 @@ void Fallback<TypeInput, TypeOutput, OutputStage>::prepare(ITensorPack &tensors)
 
             CpuAuxTensorHandler pretranspose(offset_int_vec(Pretranspose), _pretranspose_info, tensors, false);
             ARM_COMPUTE_ERROR_ON(pretranspose.get()->buffer() == nullptr);
-            run_parallel_pretranspose_B_array<TypeInput, TypeOutput>(_gemm_kernel_asm.get(), pretranspose.get(),
-                                                                     in1_ptr, ldb, multi_stride_b,
-                                                                     NEScheduler::get().num_threads());
+            run_parallel_pretranspose_B_array<TypeInput, TypeOutput>(
+                _gemm_kernel_asm.get(), pretranspose.get(), in1_ptr, ldb, multi_stride_b, NEScheduler::num_threads());
 
             b->mark_as_unused();
             // Note that we don't need to mark b_to_use as unused, as if it's been assigned to pre_pretransposed_b, its memory will be auto-managed by the handler
@@ -691,9 +690,8 @@ void Fallback<TypeInput, TypeOutput, OutputStage>::run(ITensorPack &tensors)
             }
             else
             {
-                run_parallel_pretranspose_B_array<TypeInput, TypeOutput>(_gemm_kernel_asm.get(), pretranspose.get(),
-                                                                         b_ptr, ldb, multi_stride_b,
-                                                                         NEScheduler::get().num_threads());
+                run_parallel_pretranspose_B_array<TypeInput, TypeOutput>(
+                    _gemm_kernel_asm.get(), pretranspose.get(), b_ptr, ldb, multi_stride_b, NEScheduler::num_threads());
             }
         }
     }
@@ -707,7 +705,7 @@ void Fallback<TypeInput, TypeOutput, OutputStage>::run(ITensorPack &tensors)
         _gemm_kernel_asm->set_working_space(reinterpret_cast<void *>(workspace.get()->buffer()));
         const unsigned int split_dim   = scheduling_hint.split_dimension();
         const unsigned int window_size = _gemm_kernel_asm->get_window_size().total_size();
-        unsigned int       num_threads = NEScheduler::get().num_threads();
+        unsigned int       num_threads = NEScheduler::num_threads();
         if (window_size < num_threads)
         {
             num_threads = window_size;
@@ -756,8 +754,8 @@ void create_arm_gemm(std::unique_ptr<CpuGemmAssemblyDispatch::IFallback> &arm_ge
                      const AsmGemmInfo                                   &info)
 {
     Params         p           = extract_parameters(a, b, d, info);
-    const CPUInfo &ci          = NEScheduler::get().cpu_info();
-    unsigned int   num_threads = NEScheduler::get().num_threads();
+    const CPUInfo &ci          = CPUInfo::get();
+    unsigned int   num_threads = NEScheduler::num_threads();
 
     arm_gemm::GemmConfig cfg;
     cfg.weight_format = assembly_utils::map_to_arm_gemm_weight_format(info.weight_format);
@@ -781,8 +779,8 @@ void create_arm_gemm_quant(std::unique_ptr<CpuGemmAssemblyDispatch::IFallback> &
 {
     ARM_COMPUTE_UNUSED(activation);
     Params             p           = extract_parameters(a, b, d, info);
-    const CPUInfo     &ci          = NEScheduler::get().cpu_info();
-    const unsigned int num_threads = NEScheduler::get().num_threads();
+    const CPUInfo     &ci          = CPUInfo::get();
+    const unsigned int num_threads = NEScheduler::num_threads();
 
     arm_gemm::GemmConfig cfg;
     cfg.weight_format = assembly_utils::map_to_arm_gemm_weight_format(info.weight_format);
@@ -836,8 +834,8 @@ Status CpuGemmAssemblyDispatch::has_opt_impl(arm_compute::WeightFormat &expected
     ARM_COMPUTE_UNUSED(c);
     arm_gemm::Activation act         = assembly_utils::map_to_arm_gemm_activation(info.activation_info);
     Params               p           = extract_parameters(a, b, d, info);
-    const CPUInfo       &ci          = NEScheduler::get().cpu_info();
-    unsigned int         num_threads = NEScheduler::get().num_threads();
+    const CPUInfo       &ci          = CPUInfo::get();
+    unsigned int         num_threads = NEScheduler::num_threads();
     arm_gemm::GemmConfig cfg;
     cfg.weight_format                           = assembly_utils::map_to_arm_gemm_weight_format(info.weight_format);
     arm_gemm::WeightFormat arm_gemm_expected_wf = assembly_utils::map_to_arm_gemm_weight_format(expected_weight_format);
diff --git a/src/runtime/Scheduler.cpp b/src/runtime/Scheduler.cpp
index e52fb59940..6d961f29a5 100644
--- a/src/runtime/Scheduler.cpp
+++ b/src/runtime/Scheduler.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2020 Arm Limited.
+* Copyright (c) 2017-2020, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -40,14 +40,18 @@ using namespace arm_compute;
 #if !ARM_COMPUTE_CPP_SCHEDULER && ARM_COMPUTE_OPENMP_SCHEDULER
 Scheduler::Type Scheduler::_scheduler_type = Scheduler::Type::OMP;
 #elif ARM_COMPUTE_CPP_SCHEDULER && !ARM_COMPUTE_OPENMP_SCHEDULER
-Scheduler::Type Scheduler::_scheduler_type = Scheduler::Type::CPP;
+Scheduler::Type Scheduler::_scheduler_type                            = Scheduler::Type::CPP;
 #elif ARM_COMPUTE_CPP_SCHEDULER && ARM_COMPUTE_OPENMP_SCHEDULER
 Scheduler::Type Scheduler::_scheduler_type = Scheduler::Type::CPP;
 #else  /* ARM_COMPUTE_*_SCHEDULER */
 Scheduler::Type Scheduler::_scheduler_type = Scheduler::Type::ST;
 #endif /* ARM_COMPUTE_*_SCHEDULER */
 
+#ifndef ARM_COMPUTE_THREAD_LOCAL_SCHEDULER
 std::shared_ptr<IScheduler> Scheduler::_custom_scheduler = nullptr;
+#else  // ARM_COMPUTE_THREAD_LOCAL_SCHEDULER
+std::shared_ptr<IScheduler> thread_local Scheduler::_custom_scheduler = nullptr;
+#endif // ARM_COMPUTE_THREAD_LOCAL_SCHEDULER
 
 namespace
 {
@@ -74,6 +78,30 @@ void Scheduler::set(Type t)
     _scheduler_type = t;
 }
 
+bool Scheduler::is_set()
+{
+    if (_scheduler_type == Type::CUSTOM)
+    {
+        return _custom_scheduler != nullptr;
+    }
+    else
+    {
+        return !_schedulers.empty();
+    }
+}
+
+unsigned int Scheduler::num_threads()
+{
+    if (Scheduler::is_set())
+    {
+        return Scheduler::get().num_threads();
+    }
+    else
+    {
+        return CPUInfo::get().get_cpu_num();
+    }
+}
+
 bool Scheduler::is_available(Type t)
 {
     if (t == Type::CUSTOM)