diff options
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"), |