/* // Copyright (c) 2016 Intel Corporation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. */ /////////////////////////////////////////////////////////////////////////////////////////////////// #include "fully_connected_grad_weights_inst.h" #include "primitive_type_base.h" #include "error_handler.h" #include "json_object.h" namespace cldnn { primitive_type_id fully_connected_grad_weights_type_id() { static primitive_type_base instance; return &instance; } layout fully_connected_grad_weights_inst::calc_output_layout(fully_connected_grad_weights_node const& node) { //output buffer will not be used in this primitive auto input_grad_layout_size = node.input().get_output_layout(); return{ input_grad_layout_size.data_type, input_grad_layout_size.format,{ 1, 1, 1, 1 } }; } std::string fully_connected_grad_weights_inst::to_string(fully_connected_grad_weights_node const& node) { auto desc = node.get_primitive(); auto node_info = node.desc_to_json(); auto bias_id = desc->bias != "" ? desc->bias : "no bias"; auto weights_id = desc->weights; std::stringstream primitive_description; json_composite fc_info; fc_info.add("weights id", weights_id); fc_info.add("bias id", bias_id); node_info.add("fully connected grad weights info", fc_info); node_info.dump(primitive_description); return primitive_description.str(); } fully_connected_grad_weights_inst::typed_primitive_inst(network_impl& network, fully_connected_grad_weights_node const& node) :parent(network, node) { auto input_layout = node.input().get_output_layout(); auto output_layout = node.get_output_layout(); CLDNN_ERROR_NOT_EQUAL(node.id(), "Input size", input_layout.size.raw.size(), "output size", output_layout.size.raw.size(), ""); } }