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using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;
using System.Text;
using System.Threading;
using Tensorflow;
using node_def_pb2 = Tensorflow;
using Google.Protobuf;
using System.Linq;
namespace Tensorflow
{
public partial class ops
{
public static void add_to_collection<T>(string name, T value)
{
var graph = tf.get_default_graph();
graph.add_to_collection(name, value);
}
public static void add_to_collections<T>(List<string> names, T value)
{
var graph = tf.get_default_graph();
graph.add_to_collections(names, value);
}
/// <summary>
/// Wrapper for `Graph.get_collection()` using the default graph.
/// contains many standard names for collections.
/// </summary>
/// <param name="key">
/// The key for the collection. For example, the `GraphKeys` class
/// </param>
/// <param name="scope"></param>
/// <returns>
/// The list of values in the collection with the given `name`, or
/// an empty list if no value has been added to that collection. The
/// list contains the values in the order under which they were
/// collected.
/// </returns>
public static object get_collection(string key, string scope = "")
{
return get_default_graph().get_collection(key, scope);
}
public static Graph get_default_graph()
{
return tf.Graph();
}
public static Graph _get_graph_from_inputs(List<Tensor> op_input_list, Graph graph = null)
{
foreach(var op_input in op_input_list)
{
// Determine if this is a valid graph_element.
var graph_element = op_input;
}
return get_default_graph();
}
/// <summary>
/// Converts the given `value` to a `Tensor`.
/// </summary>
/// <param name="value"></param>
/// <param name="dtype"></param>
/// <param name="name"></param>
/// <returns></returns>
public static Tensor convert_to_tensor(object value, TF_DataType dtype = TF_DataType.DtInvalid, string name = "")
{
switch (value)
{
case Tensor val:
return val;
default:
var nd = tensor_util.convert_to_numpy_ndarray(value);
return constant_op.Constant(nd, name);
}
}
/// <summary>
/// Wrapper for `Graph.control_dependencies()` using the default graph.
/// </summary>
/// <param name="control_inputs"></param>
public static _ControlDependenciesController control_dependencies(Operation[] control_inputs)
{
return get_default_graph().control_dependencies(control_inputs);
}
/// <summary>
/// Creates a TF_Operation.
/// </summary>
/// <param name="graph">a `Graph`.</param>
/// <param name="node_def">`node_def_pb2.NodeDef` for the operation to create.</param>
/// <param name="inputs">
/// A list of `Tensor`s (corresponding to scalar inputs) and lists of
/// `Tensor`s (corresponding to sequence inputs, e.g. "int64 * N",
/// "list(int64)"). The length of the list should be equal to the number of
/// inputs specified by this operation's op def.
/// </param>
/// <param name="control_inputs">A list of `Operation`s to set as control dependencies.</param>
/// <returns>A wrapped TF_Operation*.</returns>
public static IntPtr _create_c_op(Graph graph, NodeDef node_def, List<Tensor> inputs, Operation[] control_inputs)
{
var op_desc = graph.NewOperation(node_def.Op, node_def.Name);
// Add inputs
if(inputs != null)
{
foreach (var op_input in inputs)
{
bool isList = false;
if (!isList)
{
c_api.TF_AddInput(op_desc, op_input._as_tf_output());
}
else
{
c_api.TF_AddInputList(op_desc, inputs.Select(x => x._as_tf_output()).ToArray(), inputs.Count);
}
}
}
var status = new Status();
// Add control inputs
foreach (var control_input in control_inputs)
c_api.TF_AddControlInput(op_desc, control_input);
// Add attrs
foreach (var attr in node_def.Attr)
{
var bytes = attr.Value.ToByteArray();
var proto = Marshal.AllocHGlobal(bytes.Length);
Marshal.Copy(bytes, 0, proto, bytes.Length);
c_api.TF_SetAttrValueProto(op_desc, attr.Key, proto, proto_len: (uint)bytes.Length, status: status);
status.Check(true);
}
var c_op = c_api.TF_FinishOperation(op_desc, status);
status.Check(true);
return c_op;
}
public static OpDef _get_op_def(Graph graph, string type)
{
return graph.GetOpDef(type);
}
public static NodeDef _NodeDef(string op_type, string name, string device = "", Dictionary<string, AttrValue> attrs = null)
{
var node_def = new node_def_pb2.NodeDef();
node_def.Op = op_type;
node_def.Name = name;
foreach (var attr in attrs)
{
node_def.Attr.Add(attr.Key, attr.Value);
}
return node_def;
}
public static string _name_from_scope_name(string name)
{
if (name.EndsWith("/"))
{
return name.Substring(0, name.Length - 1);
}
else
{
return name;
}
}
/// <summary>
/// A context manager that lifts ops out of control-flow scopes and function-building graphs.
/// </summary>
/// <returns></returns>
public static void init_scope()
{
// Retrieve the active name scope: entering an `init_scope` preserves
// the name scope of the current context.
var default_graph = get_default_graph();
var scope = default_graph.get_name_scope();
if (!String.IsNullOrEmpty(scope) && !scope.EndsWith("/"))
// Names that end with trailing slashes are treated by `name_scope` as
// absolute.
scope += "/";
// inner_device_stack = default_graph._device_function_stack
// var outer_context = default_graph.as_default;
Python.with(ops.control_dependencies(null), delegate
{
var outer_graph = get_default_graph();
// outer_device_stack = None
});
}
private static int uid_number = 0;
/// <summary>
/// A unique (within this program execution) integer.
/// Not thread safe
/// </summary>
/// <returns></returns>
public static int uid()
{
return uid_number++;
}
public static void colocate_with(Operation op, bool ignore_existing = false)
{
_colocate_with_for_gradient(op, null, ignore_existing);
}
private static void _colocate_with_for_gradient(Operation op, int? gradient_uid, bool ignore_existing = false)
{
var default_graph = get_default_graph();
default_graph._colocate_with_for_gradient(op, gradient_uid, ignore_existing);
}
}
}