diff options
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/graph_ssd_mobilenet.cpp | 26 |
1 files changed, 13 insertions, 13 deletions
diff --git a/examples/graph_ssd_mobilenet.cpp b/examples/graph_ssd_mobilenet.cpp index c0859227ab..9fe7f5b454 100644 --- a/examples/graph_ssd_mobilenet.cpp +++ b/examples/graph_ssd_mobilenet.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2021 Arm Limited. + * Copyright (c) 2018-2022 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -121,12 +121,12 @@ private: SimpleOption<std::string> *detection_scores_opt{ nullptr }; SimpleOption<std::string> *num_detections_opt{ nullptr }; - ConcatLayer get_node_A_float(IStream &master_graph, const std::string &data_path, std::string &¶m_path, + ConcatLayer get_node_A_float(IStream &main_graph, const std::string &data_path, std::string &¶m_path, unsigned int conv_filt, PadStrideInfo dwc_pad_stride_info, PadStrideInfo conv_pad_stride_info) { const std::string total_path = param_path + "_"; - SubStream sg(master_graph); + SubStream sg(main_graph); sg << DepthwiseConvolutionLayer( 3U, 3U, @@ -157,12 +157,12 @@ private: return ConcatLayer(std::move(sg)); } - ConcatLayer get_node_B_float(IStream &master_graph, const std::string &data_path, std::string &¶m_path, + ConcatLayer get_node_B_float(IStream &main_graph, const std::string &data_path, std::string &¶m_path, unsigned int conv_filt, PadStrideInfo conv_pad_stride_info_1, PadStrideInfo conv_pad_stride_info_2) { const std::string total_path = param_path + "_"; - SubStream sg(master_graph); + SubStream sg(main_graph); sg << ConvolutionLayer( 1, 1, conv_filt / 2, @@ -193,11 +193,11 @@ private: return ConcatLayer(std::move(sg)); } - ConcatLayer get_node_C_float(IStream &master_graph, const std::string &data_path, std::string &¶m_path, + ConcatLayer get_node_C_float(IStream &main_graph, const std::string &data_path, std::string &¶m_path, unsigned int conv_filt, PadStrideInfo conv_pad_stride_info) { const std::string total_path = param_path + "_"; - SubStream sg(master_graph); + SubStream sg(main_graph); sg << ConvolutionLayer( 1U, 1U, conv_filt, get_weights_accessor(data_path, total_path + "w.npy"), @@ -381,13 +381,13 @@ private: detection_ouput << OutputLayer(get_detection_output_accessor(common_params, { input_descriptor.shape })); } - ConcatLayer get_node_A_qasymm(IStream &master_graph, const std::string &data_path, std::string &¶m_path, + ConcatLayer get_node_A_qasymm(IStream &main_graph, const std::string &data_path, std::string &¶m_path, unsigned int conv_filt, PadStrideInfo dwc_pad_stride_info, PadStrideInfo conv_pad_stride_info, std::pair<QuantizationInfo, QuantizationInfo> depth_quant_info, std::pair<QuantizationInfo, QuantizationInfo> point_quant_info) { const std::string total_path = param_path + "_"; - SubStream sg(master_graph); + SubStream sg(main_graph); sg << DepthwiseConvolutionLayer( 3U, 3U, @@ -408,13 +408,13 @@ private: return ConcatLayer(std::move(sg)); } - ConcatLayer get_node_B_qasymm(IStream &master_graph, const std::string &data_path, std::string &¶m_path, + ConcatLayer get_node_B_qasymm(IStream &main_graph, const std::string &data_path, std::string &¶m_path, unsigned int conv_filt, PadStrideInfo conv_pad_stride_info_1x1, PadStrideInfo conv_pad_stride_info_3x3, const std::pair<QuantizationInfo, QuantizationInfo> quant_info_1x1, const std::pair<QuantizationInfo, QuantizationInfo> quant_info_3x3) { const std::string total_path = param_path + "_"; - SubStream sg(master_graph); + SubStream sg(main_graph); sg << ConvolutionLayer( 1, 1, conv_filt / 2, @@ -435,12 +435,12 @@ private: return ConcatLayer(std::move(sg)); } - ConcatLayer get_node_C_qasymm(IStream &master_graph, const std::string &data_path, std::string &¶m_path, + ConcatLayer get_node_C_qasymm(IStream &main_graph, const std::string &data_path, std::string &¶m_path, unsigned int conv_filt, PadStrideInfo conv_pad_stride_info, const std::pair<QuantizationInfo, QuantizationInfo> quant_info, TensorShape reshape_shape) { const std::string total_path = param_path + "_"; - SubStream sg(master_graph); + SubStream sg(main_graph); sg << ConvolutionLayer( 1U, 1U, conv_filt, get_weights_accessor(data_path, total_path + "w.npy"), |