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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-01-02 13:27:37 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:42:33 +0000
commit1250a5a259962514d31bb5f8148f1d0f0a82b946 (patch)
treea9c16daffa5228926715c805d73310b4b3c2e324 /src/graph/operations/CLSimpleOperations.cpp
parent7c23ad01c028f73aef0b439fc5d5d14e92e5f4e2 (diff)
downloadComputeLibrary-1250a5a259962514d31bb5f8148f1d0f0a82b946.tar.gz
COMPMID-767 : Propagate hints to subgraph.
-Propagates hints to subgraph. -Fixes dispatching of apropriate optimized DepthwiseConvolution kernel for OpenCL backend. NEON backend is altered to default to the generic case until COMPMID-769 is addressed. Change-Id: I544f05cd99a9ac253f1b19aa4e4bb222b8fdd087 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/114781 Reviewed-by: Pablo Tello <pablo.tello@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/graph/operations/CLSimpleOperations.cpp')
-rw-r--r--src/graph/operations/CLSimpleOperations.cpp4
1 files changed, 2 insertions, 2 deletions
diff --git a/src/graph/operations/CLSimpleOperations.cpp b/src/graph/operations/CLSimpleOperations.cpp
index 8f2bf23ce3..61315e73b2 100644
--- a/src/graph/operations/CLSimpleOperations.cpp
+++ b/src/graph/operations/CLSimpleOperations.cpp
@@ -156,13 +156,13 @@ REGISTER_SIMPLE_OPERATION(CLDepthwiseConvolutionOperation, OPENCL, OperationType
bool run_3x3_opt = opt3x3 && weights->info()->dimension(0) == 3;
if(run_3x3_opt)
{
- auto depwthwise_conv = arm_compute::support::cpp14::make_unique<arm_compute::CLDepthwiseConvolutionLayer>();
+ auto depwthwise_conv = arm_compute::support::cpp14::make_unique<arm_compute::CLDepthwiseConvolutionLayer3x3>();
depwthwise_conv->configure(in, weights, biases, out, conv_info);
func = std::move(depwthwise_conv);
}
else
{
- auto depwthwise_conv = arm_compute::support::cpp14::make_unique<arm_compute::CLDepthwiseConvolutionLayer3x3>();
+ auto depwthwise_conv = arm_compute::support::cpp14::make_unique<arm_compute::CLDepthwiseConvolutionLayer>();
depwthwise_conv->configure(in, weights, biases, out, conv_info);
func = std::move(depwthwise_conv);
}