public tensorflow()
{
Status = new Status();
Context = new Context(new ContextOptions(), Status);
OpDefLib = new OpDefLibrary();
ConstructThreadingObjects();
InitGradientEnvironment();
Runner = new EagerRunner();
}
public tensorflow()
{
Logger = new LoggerConfiguration()
.MinimumLevel.Error()
.WriteTo.Console()
.CreateLogger();
OpDefLib = new OpDefLibrary();
InitGradientEnvironment();
}
private static OpDefLibrary _InitOpDefLibrary()
{
// c_api.TF_GraphGetOpDef(g.Handle, op_type_name, buffer.Handle, status.Handle);
var bytes = File.ReadAllBytes("Tensorflow/op_list_proto_array.bin");
var op_list = OpList.Parser.ParseFrom(bytes);
var op_def_lib = new OpDefLibrary();
op_def_lib.add_op_list(op_list);
return(op_def_lib);
}
public tensorflow()
{
Logger = NullLogger.Instance;
Status = new Status();
Context = new Context();
OpDefLib = new OpDefLibrary();
ConstructThreadingObjects();
InitGradientEnvironment();
Runner = new EagerRunner();
}
public tensorflow()
{
Logger = new LoggerConfiguration()
.MinimumLevel.Error()
.WriteTo.Console()
.CreateLogger();
Status = new Status();
Context = new Context(new ContextOptions(), Status);
OpDefLib = new OpDefLibrary();
ConstructThreadingObjects();
InitGradientEnvironment();
Runner = new EagerRunner();
}
static gen_string_ops()
{
_op_def_lib = new OpDefLibrary();
}