moco::BiasAddGraphBuilder Class Reference

#include <BiasAdd.h>

Collaboration diagram for moco::BiasAddGraphBuilder:

Public Member Functions
bool	validate (const tensorflow::NodeDef &) const final
void	build (const tensorflow::NodeDef &, GraphBuilderContext *) const final
Public Member Functions inherited from moco::GraphBuilder
virtual	~GraphBuilder ()

Detailed Description

Definition at line 25 of file BiasAdd.h.

Member Function Documentation

build()

void moco::BiasAddGraphBuilder::build ( const tensorflow::NodeDef &  node, GraphBuilderContext *  context  ) const

finalvirtual

Implements moco::GraphBuilder.

Definition at line 96 of file BiasAdd.cpp.

{
  assert(context != nullptr);
 
  loco::Graph *graph = context->graph();
  SymbolTable *tensor_names = context->tensor_names();
  UpdateQueue *updates = context->updates();
 
  // tensorflow data_format: one of NHWC or NCHW.
  auto data_layout = plier::tf::get_string_attr(node, "data_format");
  auto tf_bias_add = graph->nodes()->create<TFBiasAdd>();
  tf_bias_add->name(node.name());
  tf_bias_add->data_layout(data_layout);
 
  // To set the input node of encode_node with biasAdd_name
  TensorName output_name(node.name(), 0);
  tensor_names->enroll(output_name, tf_bias_add);
 
  std::vector<TensorName> input_names;
  input_names.push_back(TensorName(node.input(0)));
  input_names.push_back(TensorName(node.input(1)));
 
  auto update = std::make_unique<TFBiasAddGraphUpdate>(tf_bias_add, input_names);
  updates->enroll(std::move(update));
}

References moco::SymbolTable::enroll(), moco::UpdateQueue::enroll(), plier::tf::get_string_attr(), moco::GraphBuilderContext::graph(), moco::TFNode::name(), moco::GraphBuilderContext::tensor_names(), moco::update(), and moco::GraphBuilderContext::updates().

validate()

bool moco::BiasAddGraphBuilder::validate ( const tensorflow::NodeDef &  node ) const

finalvirtual

Implements moco::GraphBuilder.

Definition at line 69 of file BiasAdd.cpp.

{
  if (node.input_size() != 2)
    return false;
 
  // note: even though "data_format" is not entered when a model is written,
  //       TF seems to generate "data_format" field into a pb file
  if (!plier::tf::has_attrs(node, {"T", "data_format"}))
    return false;
 
  // TODO add type check
  // type of input and bias should be same (except using quantization)
 
  // Note In case of TF.nn.bias_add,
  // "value may have any number of dimensions." ...
  // but "data_format: A string. 'NHWC' and 'NCHW' are supported."
  // Not sure if value should be 4-D tensor. Let's skip this check for now.
 
  auto data_layout = plier::tf::get_string_attr(node, "data_format");
  if (!(data_layout == "NHWC" || data_layout == "NCHW"))
  {
    throw oops::UserExn("BiasAdd Unsupported data_format", node.name());
  }
 
  return true;
}

References plier::tf::get_string_attr(), and plier::tf::has_attrs().

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The documentation for this class was generated from the following files:

• compiler/moco/import/include/moco/Import/Nodes/BiasAdd.h
• compiler/moco/import/src/Nodes/BiasAdd.cpp