using System; using System.Collections.Generic; using System.Text; using Tensorflow.Eager; using static Tensorflow.ops; namespace Tensorflow { public static partial class tf { public static TF_DataType bytes = TF_DataType.TF_STRING; public static TF_DataType int16 = TF_DataType.TF_INT16; public static TF_DataType int32 = TF_DataType.TF_INT32; public static TF_DataType int64 = TF_DataType.TF_INT64; public static TF_DataType float16 = TF_DataType.TF_HALF; public static TF_DataType float32 = TF_DataType.TF_FLOAT; public static TF_DataType float64 = TF_DataType.TF_DOUBLE; public static TF_DataType boolean = TF_DataType.TF_BOOL; public static TF_DataType chars = TF_DataType.TF_STRING; public static Context context = new Context(new ContextOptions(), new Status()); public static Session defaultSession; public static RefVariable Variable(T data, bool trainable = true, bool validate_shape = true, string name = null, TF_DataType dtype = TF_DataType.DtInvalid) { return Tensorflow.variable_scope.default_variable_creator(data, trainable: trainable, validate_shape: validate_shape, name: name, dtype: TF_DataType.DtInvalid); } public static unsafe Tensor placeholder(TF_DataType dtype, TensorShape shape = null, string name = null) { return gen_array_ops.placeholder(dtype, shape, name); } public static void enable_eager_execution() { // contex = new Context(); context.default_execution_mode = Context.EAGER_MODE; } public static string VERSION => c_api.StringPiece(c_api.TF_Version()); public static Graph get_default_graph() { return ops.get_default_graph(); } public static Graph Graph() => new Graph(); public static Session Session() { defaultSession = new Session(); return defaultSession; } public static Session Session(Graph graph) { return new Session(graph); } } }