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| author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2021-01-20 18:16:47 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-01-21 16:23:55 +0000 |
| commit | 0094c023038cbb353f60e96d1301b4bb25c9e382 (patch) | |
| tree | 18d0c8e312c16f82e272b959b9aca92c655a5b15 /src/runtime/CPP/SingleThreadScheduler.cpp | |
| parent | f47f718e87889b7d501a48e1d86b5d12b2e3f54c (diff) | |
| download | ComputeLibrary-0094c023038cbb353f60e96d1301b4bb25c9e382.tar.gz | |
Add window parameter to scheduler
To support window configured outside of
kernels, the parameter is added to scheduler.
The existing operators pass window from
kernels to preserve the current behavior.
Partial Implements: COMPMID-4003
Change-Id: I4514e12fb5b0c60e4adfc1a51e53a8a5de356a0d
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4892
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/runtime/CPP/SingleThreadScheduler.cpp')
| -rw-r--r-- | src/runtime/CPP/SingleThreadScheduler.cpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/runtime/CPP/SingleThreadScheduler.cpp b/src/runtime/CPP/SingleThreadScheduler.cpp index 96265ac757..70536b7ccc 100644 --- a/src/runtime/CPP/SingleThreadScheduler.cpp +++ b/src/runtime/CPP/SingleThreadScheduler.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 Arm Limited. + * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -53,12 +53,12 @@ void SingleThreadScheduler::schedule(ICPPKernel *kernel, const Hints &hints) kernel->run(kernel->window(), info); } -void SingleThreadScheduler::schedule_op(ICPPKernel *kernel, const Hints &hints, ITensorPack &tensors) +void SingleThreadScheduler::schedule_op(ICPPKernel *kernel, const Hints &hints, const Window &window, ITensorPack &tensors) { ARM_COMPUTE_UNUSED(hints); ThreadInfo info; info.cpu_info = &_cpu_info; - kernel->run_op(tensors, kernel->window(), info); + kernel->run_op(tensors, window, info); } void SingleThreadScheduler::run_workloads(std::vector<Workload> &workloads) |