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| author | Mike Kelly <mike.kelly@arm.com> | 2023-07-25 17:37:33 +0100 |
|---|---|---|
| committer | mike.kelly <mike.kelly@arm.com> | 2023-07-31 15:34:06 +0000 |
| commit | 7cbe78140a274cec783049051df7c7298b974f13 (patch) | |
| tree | d39f19b35e120b59d9dbd7f0c7eb27ef97621ebe /src/backends/reference/workloads/RefQuantizeWorkload.cpp | |
| parent | 21e399974e3cdd8db00bd76af813aa0485395b60 (diff) | |
| download | armnn-7cbe78140a274cec783049051df7c7298b974f13.tar.gz | |
MLCE-1092 Add Names to Workloads
* Added names to Workloads.
* Workloads will be given the name of the Layer that created them.
* Added new profiling macros to CL Neon and Ref that add the
workload name to the event label
* Updated workloads to use new macros.
* Added missing profiling to Rank Workloads.
* Fixed issue where ClConvolution2dWorkload was being reported as
Undefined rather than GpuAcc.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I0a55eab6c2f455b73943aca8e99a247c3cb2a906
Diffstat (limited to 'src/backends/reference/workloads/RefQuantizeWorkload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefQuantizeWorkload.cpp | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/src/backends/reference/workloads/RefQuantizeWorkload.cpp b/src/backends/reference/workloads/RefQuantizeWorkload.cpp index e54ab456cd..4468cd7a94 100644 --- a/src/backends/reference/workloads/RefQuantizeWorkload.cpp +++ b/src/backends/reference/workloads/RefQuantizeWorkload.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -47,6 +47,8 @@ void RefQuantizeWorkload::ExecuteAsync(ExecutionData& executionData) void RefQuantizeWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const { + ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefQuantizeWorkload_Execute"); + std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), inputs[0]->Map()); std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), outputs[0]->Map()); |