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| author | Sadik Armagan <sadik.armagan@arm.com> | 2020-12-02 11:28:58 +0000 |
|---|---|---|
| committer | Sadik Armagan <sadik.armagan@arm.com> | 2020-12-02 11:29:35 +0000 |
| commit | e9444751017fe108ce80fd5c270d04fffeb14e1e (patch) | |
| tree | 29601fdf9017a2dbce71983b995709c24e6c773c /src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp | |
| parent | bbbefecd34a9420bcb003dd230402c55ee5150d5 (diff) | |
| download | armnn-e9444751017fe108ce80fd5c270d04fffeb14e1e.tar.gz | |
IVGCVSW-5482 'Add a ClCompileContext parameter to each ClWorkload Constructor'
* Injected CLCompileContext object to each CL workload.
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I4837dbd3d5b56cf743b3b89c944e3cdf8b11a42a
Diffstat (limited to 'src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp')
| -rw-r--r-- | src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp index c595e20a1f..daaed17a90 100644 --- a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp +++ b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp @@ -52,7 +52,9 @@ arm_compute::Status ClBatchNormalizationValidate(const TensorInfo& input, } ClBatchNormalizationFloatWorkload::ClBatchNormalizationFloatWorkload( - const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info) + const BatchNormalizationQueueDescriptor& descriptor, + const WorkloadInfo& info, + const arm_compute::CLCompileContext& clCompileContext) : FloatWorkload<BatchNormalizationQueueDescriptor>(descriptor, info) { m_Mean = std::make_unique<arm_compute::CLTensor>(); @@ -78,7 +80,8 @@ ClBatchNormalizationFloatWorkload::ClBatchNormalizationFloatWorkload( const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor); - m_Layer.configure(&input, + m_Layer.configure(clCompileContext, + &input, &output, m_Mean.get(), m_Variance.get(), |