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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-07-13 12:25:33 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | 772e17f8a6683cf3f19cba15c7a1e677fe07a559 (patch) | |
| tree | 49afc7e2b1cbd4b8f3e1cf849093e8d6e4503892 /examples/graph_inception_v3.cpp | |
| parent | 6200fa405b16b4145b926a96de197718ad31bf93 (diff) | |
| download | ComputeLibrary-772e17f8a6683cf3f19cba15c7a1e677fe07a559.tar.gz | |
COMPMID-1188: Substream copy constructor primitives.
Change-Id: I50b0d9d2f6bfbcd7bfacf31090b94f551fa00bbe
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/139876
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'examples/graph_inception_v3.cpp')
| -rw-r--r-- | examples/graph_inception_v3.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/examples/graph_inception_v3.cpp b/examples/graph_inception_v3.cpp index 30b1b7d7ce..639554ebfc 100644 --- a/examples/graph_inception_v3.cpp +++ b/examples/graph_inception_v3.cpp @@ -719,7 +719,7 @@ private: .set_name(param_path + "/Branch_1/Conv2d_0a_1x1/BatchNorm/batchnorm") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0a_1x1/Relu"); - SubStream i_b1(static_cast<IStream &>(i_b)); + SubStream i_b1(i_b); i_b1 << ConvolutionLayer( 3U, 1U, std::get<1>(b_filters), get_weights_accessor(data_path, total_path + "Branch_1_Conv2d_0b_1x3_weights.npy"), @@ -735,7 +735,7 @@ private: .set_name(param_path + "/Branch_1/Conv2d_0b_1x3/BatchNorm/batchnorm") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d_0b_1x3/Relu"); - SubStream i_b2(static_cast<IStream &>(i_b)); + SubStream i_b2(i_b); i_b2 << ConvolutionLayer( 1U, 3U, std::get<2>(b_filters), get_weights_accessor(data_path, total_path + "Branch_1_Conv2d" + conv_id + "3x1_weights.npy"), @@ -784,7 +784,7 @@ private: .set_name(param_path + "/Branch_2/Conv2d_0b_3x3/BatchNorm/batchnorm") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0b_3x3/Relu"); - SubStream i_c1(static_cast<IStream &>(i_c)); + SubStream i_c1(i_c); i_c1 << ConvolutionLayer( 3U, 1U, std::get<2>(c_filters), get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0c_1x3_weights.npy"), @@ -800,7 +800,7 @@ private: .set_name(param_path + "/Branch_2/Conv2d_0c_1x3/BatchNorm/batchnorm") << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0c_1x3/Relu"); - SubStream i_c2(static_cast<IStream &>(i_c)); + SubStream i_c2(i_c); i_c2 << ConvolutionLayer( 1U, 3U, std::get<3>(c_filters), get_weights_accessor(data_path, total_path + "Branch_2_Conv2d_0d_3x1_weights.npy"), |