2 // Copyright (c) 2016 Intel Corporation
4 // Licensed under the Apache License, Version 2.0 (the "License");
5 // you may not use this file except in compliance with the License.
6 // You may obtain a copy of the License at
8 // http://www.apache.org/licenses/LICENSE-2.0
10 // Unless required by applicable law or agreed to in writing, software
11 // distributed under the License is distributed on an "AS IS" BASIS,
12 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 // See the License for the specific language governing permissions and
14 // limitations under the License.
17 ///////////////////////////////////////////////////////////////////////////////////////////////////
18 #include "fully_connected_grad_weights_inst.h"
19 #include "primitive_type_base.h"
20 #include "error_handler.h"
21 #include "json_object.h"
25 primitive_type_id fully_connected_grad_weights_type_id()
27 static primitive_type_base<fully_connected_grad_weights> instance;
31 layout fully_connected_grad_weights_inst::calc_output_layout(fully_connected_grad_weights_node const& node)
33 assert((bool)node.get_primitive()->output_data_type == false
34 && "Output data type forcing is not supported for "
35 "fully_connected_grad_weights_node!");
36 //output buffer will not be used in this primitive
37 auto input_grad_layout_size = node.input().get_output_layout();
38 return{ input_grad_layout_size.data_type, input_grad_layout_size.format,{ 1, 1, 1, 1 } };
41 std::string fully_connected_grad_weights_inst::to_string(fully_connected_grad_weights_node const& node)
43 auto desc = node.get_primitive();
44 auto node_info = node.desc_to_json();
45 auto bias_id = desc->bias != "" ? desc->bias : "no bias";
46 auto weights_id = desc->weights;
48 std::stringstream primitive_description;
50 json_composite fc_info;
51 fc_info.add("weights id", weights_id);
52 fc_info.add("bias id", bias_id);
54 node_info->add("fully connected grad weights info", fc_info);
55 node_info->dump(primitive_description);
57 return primitive_description.str();
60 fully_connected_grad_weights_inst::typed_primitive_inst(network_impl& network, fully_connected_grad_weights_node const& node)
61 :parent(network, node)
63 auto input_layout = node.input().get_output_layout();
64 auto output_layout = node.get_output_layout();
66 CLDNN_ERROR_NOT_EQUAL(node.id(), "Input size", input_layout.size.raw.size(), "output size", output_layout.size.raw.size(), "");