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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-07-31 22:21:38 +0100 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2020-08-05 09:13:13 +0000 |
| commit | 0499dff9293a86d3d53f72fed0a38b2823563674 (patch) | |
| tree | bb76735e53f46cc8e362a7b528e549cdc7a2e346 /src/runtime/CPP/SingleThreadScheduler.cpp | |
| parent | ac4c03042d7a3020f87cea641e69aa38a684ddd7 (diff) | |
| download | ComputeLibrary-0499dff9293a86d3d53f72fed0a38b2823563674.tar.gz | |
COMPMID-3392: Collapse TensorMaps into a single TensorPack
Collapse InputTensorMap and OutputTensorMap to a single TensorPack
mechanism.
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ie2fdfc6b07d84ad589169ec99ca64fcf45a00bec
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/253783
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3641
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Diffstat (limited to 'src/runtime/CPP/SingleThreadScheduler.cpp')
| -rw-r--r-- | src/runtime/CPP/SingleThreadScheduler.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/runtime/CPP/SingleThreadScheduler.cpp b/src/runtime/CPP/SingleThreadScheduler.cpp index a672656419..6f67bc005f 100644 --- a/src/runtime/CPP/SingleThreadScheduler.cpp +++ b/src/runtime/CPP/SingleThreadScheduler.cpp @@ -49,12 +49,12 @@ void SingleThreadScheduler::schedule(ICPPKernel *kernel, const Hints &hints) kernel->run(kernel->window(), info); } -void SingleThreadScheduler::schedule_op(ICPPKernel *kernel, const Hints &hints, const InputTensorMap &inputs, const OutputTensorMap &outputs) +void SingleThreadScheduler::schedule_op(ICPPKernel *kernel, const Hints &hints, ITensorPack &tensors) { ARM_COMPUTE_UNUSED(hints); ThreadInfo info; info.cpu_info = &_cpu_info; - kernel->run_op(inputs, outputs, kernel->window(), info); + kernel->run_op(tensors, kernel->window(), info); } void SingleThreadScheduler::run_workloads(std::vector<Workload> &workloads) |