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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2018-08-06 14:31:15 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | d39e2b1e0be12420b1e00279ebee0c34bae3dd8c (patch) | |
| tree | dbcb65b0e9d7f884fc340c9aea7355ba0b4cfcfe /examples | |
| parent | 20394d526820ca97df4c0db91ec2571b98280d6d (diff) | |
| download | ComputeLibrary-d39e2b1e0be12420b1e00279ebee0c34bae3dd8c.tar.gz | |
COMPMID-1188 - Fixed performance degradation with GEMM3D
The previous implementation of GEMM3D degradated the performance when the
input had to be reinterpreted as 3D. However if both input and output have to be
reinterpreted as 3D, we can skip the offset calculation for that specific case
and run the multi GEMM approach
Change-Id: I0d5d48add2c6ccdebfbb268ea199dd181101f3aa
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/142872
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/graph_squeezenet_v1_1.cpp | 2 |
1 files changed, 0 insertions, 2 deletions
diff --git a/examples/graph_squeezenet_v1_1.cpp b/examples/graph_squeezenet_v1_1.cpp index bf6324698f..e52062927b 100644 --- a/examples/graph_squeezenet_v1_1.cpp +++ b/examples/graph_squeezenet_v1_1.cpp @@ -87,7 +87,6 @@ public: graph << common_params.target << common_params.fast_math_hint << InputLayer(input_descriptor, get_input_accessor(common_params, std::move(preprocessor))) - << ConvolutionMethod::Direct << ConvolutionLayer( 3U, 3U, 64U, get_weights_accessor(data_path, "/cnn_data/squeezenet_v1_1_model/conv1_w.npy", weights_layout), @@ -95,7 +94,6 @@ public: PadStrideInfo(2, 2, 0, 0)) << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))) - << ConvolutionMethod::Default << ConvolutionLayer( 1U, 1U, 16U, get_weights_accessor(data_path, "/cnn_data/squeezenet_v1_1_model/fire2_squeeze1x1_w.npy", weights_layout), |