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authorMatteo Martincigh <matteo.martincigh@arm.com>2018-12-18 09:26:39 +0000
committerMatteo Martincigh <matteo.martincigh@arm.com>2019-01-04 17:28:07 +0000
commit747ef82c88f9afe14a8b80b6b3b34118353e97f2 (patch)
treea29ac33b84fb96a41103a0a97327189495374cc9 /src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp
parent760892724d131c7da4b9baad05cddd49276ad6bb (diff)
downloadarmnn-747ef82c88f9afe14a8b80b6b3b34118353e97f2.tar.gz
MLCE-77 Depthwise Convolution with depth multiplier > 1 doesn't work
* Unified ArmNN's weight format to [ M, I, H, W ] for the depthwise convolution * Added conversion utilities to permute/reshape the weights as appropriate when using CL and Neon backends * Updated the reference implementation of the convolution * Updated the relevant unit tests accordingly !android-nn-driver:459 Change-Id: I07d0818efa9d1ca1e5dad82983aac1fe78eadb18
Diffstat (limited to 'src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp')
-rw-r--r--src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp6
1 files changed, 2 insertions, 4 deletions
diff --git a/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp b/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp
index e89013b9bd..756e958753 100644
--- a/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp
+++ b/src/backends/reference/workloads/RefDepthwiseConvolution2dFloat32Workload.cpp
@@ -23,15 +23,13 @@ void RefDepthwiseConvolution2dFloat32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDepthwiseConvolution2dFloat32Workload_Execute");
- float* outputData = GetOutputTensorDataFloat(0, m_Data);
const float* inputData = GetInputTensorDataFloat(0, m_Data);
const float* weightData = m_Weight->template GetConstTensor<float>();
- const float* biasData = m_Data.m_Parameters.m_BiasEnabled ?
- m_Bias->template GetConstTensor<float>() : nullptr;
+ const float* biasData = m_Data.m_Parameters.m_BiasEnabled ? m_Bias->template GetConstTensor<float>() : nullptr;
const TensorInfo& filterInfo = m_Weight->GetTensorInfo();
ConvImpl<armnn::DepthwiseConvolution2dQueueDescriptor, float, float, float>
- (m_Data, inputData, 0.0f, 0, weightData, 0.0f, 0, biasData, outputData, 0.0f, 0, filterInfo, true);
+ (m_Data, inputData, 0.0f, 0, weightData, 0.0f, 0, biasData, 0.0f, 0, filterInfo, true);
}
} //namespace armnn