TensorFlow.NET/src/TensorFlowNET.Core/Checkpoint/restore.cs at master · feelsyt/TensorFlow.NET · GitHub

History

333 lines (303 loc) · 13.7 KB

Raw

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

282

283

284

285

286

287

288

289

290

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

313

314

315

316

317

318

319

320

321

322

323

324

325

326

327

328

329

330

331

332

333

using OneOf;

using System;

using System.Collections.Generic;

using System.Diagnostics;

using System.Linq;

using System.Security;

using System.Text;

using Tensorflow.Train;

using Tensorflow.Training;

using static Tensorflow.Binding;

namespace Tensorflow.Checkpoint;

public class CheckpointPosition

{

private CheckpointRestoreCoordinator _checkpoint;

private int _proto_id;

private bool _skip_restore;

public CheckpointPosition(CheckpointRestoreCoordinator checkpoint, int proto_id)

{

_checkpoint = checkpoint;

_proto_id = proto_id;

_skip_restore = false;

}

public Trackable Trackable => _checkpoint.ObjectByProtoId[_proto_id];

public CheckpointRestoreCoordinator Checkpoint => _checkpoint;

public TrackableObjectGraph.Types.TrackableObject ObjectProto => _checkpoint.ObjectGraphProto.Nodes[_proto_id];

public void restore(Trackable trackable)

{

using (ops.init_scope())

{

if (bind_project(trackable))

{

var restore_ops = _restore_descendants();

if(restore_ops is not null && restore_ops.Count > 0)

{

_checkpoint.new_restore_ops(restore_ops);

}

/// <summary>

/// Set a checkpoint<->object correspondence.

/// </summary>

/// <param name="trackable"></param>

/// <returns></returns>

public bool bind_project(Trackable trackable)

{

_checkpoint.AllTrackables.Add(trackable);

_checkpoint.MatchedProtoIds.Add(_proto_id);

if(_checkpoint.ObjectByProtoId.TryGetValue(_proto_id, out var current_assignment) && current_assignment is not null)

{

// skip the `logging.warning`.

return false;

}

else

{

_checkpoint.ObjectByProtoId[_proto_id] = trackable;

return true;

}

public (List<Operation>, Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>>, List<CheckpointPosition>, object?) gather_ops_or_named_saveables()

{

// skip the registered_saver

if (ObjectProto.Attributes is null || ObjectProto.Attributes.Count == 0)

{

return (new List<Operation>(), new Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>>(),

new List<CheckpointPosition>(), null);

}

var saveable_factories = saveable_object_util.saveable_objects_from_trackable(this.Trackable);

List<Operation> existing_restore_ops;

List<CheckpointPosition> positions = new();

Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>> named_saveables;

if (saveable_factories.Keys.Count == 1 && saveable_factories.Keys.First() == TrackableUtils.SERIALIZE_TO_TENSORS_NAME)

{

(existing_restore_ops, named_saveables) = _create_serialize_to_tensor_saveable(saveable_factories);

}

else if(saveable_factories.Count > 0)

{

(existing_restore_ops, named_saveables) = _create_saveables_by_attribute_name(saveable_factories);

}

else

{

throw new NotImplementedException();

}

return (existing_restore_ops, named_saveables, positions, null);

}

public CheckpointPosition create_child_position(int node_id)

{

return new CheckpointPosition(_checkpoint, node_id);

}

public (CheckpointPosition, BaseResourceVariable) create_slot_variable_position(Optimizer optimizer_object, BaseResourceVariable variable,

int slot_variable_id, string slot_name)

{

//CheckpointPosition slot_variable_position = new(Checkpoint, slot_variable_id);

// TODO(Rinne): implement it.

return (null, null);

}

/// <summary>

/// Creates a saveable using the _serialize_to_tensor method.

/// </summary>

/// <param name="saveable_factories"></param>

private (List<Operation>, Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>>) _create_serialize_to_tensor_saveable(

IDictionary<string, Func<string, OneOf<BaseResourceVariable, MySaveableObject>>> saveable_factories)

{

string suffix = SaveableCompat.get_saveable_name(this.Trackable);

suffix = suffix ?? "";

var saveable_name = _extract_saveable_name(ObjectProto.Attributes[0].CheckpointKey) + suffix;

if (!tf.Context.executing_eagerly())

{

throw new NotImplementedException("The restore under graph mode has not been implemented. " +

"Please submit an issue to https://github.com/SciSharp/TensorFlow.NET/issues");

}

var saveable = saveable_factories[TrackableUtils.SERIALIZE_TO_TENSORS_NAME](saveable_name);

// skip the cache.

Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>> dict = new();

dict[saveable_name] = saveable;

return (new List<Operation>(), dict);

}

private (List<Operation>, Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>>) _create_saveables_by_attribute_name(

IDictionary<string, Func<string, OneOf<BaseResourceVariable, MySaveableObject>>> saveable_factories)

{

// TODO(Rinne): implement it.

if(ObjectProto.Attributes is null)

{

return (new List<Operation>(), new Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>>());

}

List<Operation> existing_restore_ops = new();

HashSet<string> created_compat_names = new();

Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>> named_saveables = new();

foreach (var serialized_tensor in ObjectProto.Attributes)

{

Operation existing_op;

if (tf.Context.executing_eagerly() || !_checkpoint.RestoreOpsByName.ContainsKey(serialized_tensor.CheckpointKey))

{

existing_op = null;

}

else

{

existing_op = _checkpoint.RestoreOpsByName[serialized_tensor.CheckpointKey];

}

if(existing_op is not null)

{

existing_restore_ops.Add(existing_op);

continue;

}

if(created_compat_names.Any(x => serialized_tensor.Name.StartsWith(x)))

{

continue;

}

// TODO(Rinne): deal with cache.

var saveable = _get_saveable_from_factory(saveable_factories, serialized_tensor, created_compat_names);

if(saveable is null)

{

_checkpoint.UnusedAttributes.SetDefault(_proto_id, new List<string>()).Add(serialized_tensor.Name);

continue;

}

named_saveables[serialized_tensor.CheckpointKey] = saveable.Value;

}

return (existing_restore_ops, named_saveables);

}

private OneOf<BaseResourceVariable, MySaveableObject>? _get_saveable_from_factory(IDictionary<string, Func<string, OneOf<BaseResourceVariable, MySaveableObject>>> saveable_factories,

TrackableObjectGraph.Types.TrackableObject.Types.SerializedTensor serialized_tensor, HashSet<string> created_compat_names)

{

var expected_factory_name = serialized_tensor.Name;

var factory_input_name = serialized_tensor.CheckpointKey;

if (!saveable_factories.TryGetValue(expected_factory_name, out var matched_factory))

{

foreach(var item in saveable_factories)

{

var factory_name = item.Key;

var factory = item.Value;

if (expected_factory_name.StartsWith(factory_name))

{

if(matched_factory is not null)

{

throw new ValueError($"Forward compatibility load error: Unable to load " +

"checkpoint saved in future version of TensorFlow. " +

"Please update your version of TensorFlow to the " +

"version in which the checkpoint was saved.");

}

matched_factory = factory;

factory_input_name = _extract_saveable_name(serialized_tensor.CheckpointKey) + factory_name;

created_compat_names.Add(factory_name);

}

return matched_factory(factory_input_name);

}

private string _extract_saveable_name(string checkpoint_key)

{

var search_key = TrackableUtils.OBJECT_ATTRIBUTES_NAME + "/";

return checkpoint_key.Substring(0, checkpoint_key.IndexOf(search_key) + search_key.Length);

}

/// <summary>

/// Restore the bound Trackable and dependencies (may be deferred).

/// </summary>

private List<Operation> _restore_descendants()

{

Queue<(CheckpointPosition, Trackable)> visit_queue = new();

visit_queue.Enqueue((this, this.Trackable));

List<Operation> restore_ops = new();

Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>> tensor_saveables = new();

List<CheckpointPosition> positions = new();

CheckpointPosition current_position = null;

while (visit_queue.Count > 0)

{

current_position = visit_queue.Dequeue().Item1;

var (new_restore_ops, new_tensor_saveables, new_positions, new_registered_savers) = current_position._single_restore();

restore_ops.AddRange(new_restore_ops);

foreach(var item in new_tensor_saveables)

{

tensor_saveables.Add(item.Key, item.Value);

}

positions.AddRange(new_positions);

_queue_children_for_restoration(current_position, visit_queue);

_queue_slot_variables(current_position, visit_queue);

}

restore_ops.AddRange(current_position.Checkpoint.restore_saveables(tensor_saveables, positions, null));

return restore_ops;

}

private void _queue_children_for_restoration(CheckpointPosition checkpoint_position, Queue<(CheckpointPosition, Trackable)> visit_queue)

{

var trackable = checkpoint_position.Trackable;

foreach(var child in checkpoint_position.ObjectProto.Children)

{

var child_position = checkpoint_position.create_child_position(child.NodeId);

var local_object = trackable._lookup_dependency(child.LocalName);

var child_proto = child_position.ObjectProto;

if(local_object is null)

{

if(child_proto.Children.Any() || child_proto.Attributes.Any() || child_proto.SlotVariables.Any())

{

trackable.DeferredDependencies.SetDefault(child.LocalName, new List<CheckpointPosition>()).Add(child_position);

}

else

{

if (child_position.bind_project(local_object))

{

visit_queue.Enqueue((child_position, local_object));

}

private void _queue_slot_variables(CheckpointPosition checkpoint_position, Queue<(CheckpointPosition, Trackable)> visit_queue)

{

var trackable = checkpoint_position.Trackable;

var checkpoint = checkpoint_position.Checkpoint;

if(checkpoint.DeferredSlotRestorations.TryGetValue(checkpoint_position._proto_id, out var positions))

{

checkpoint.DeferredSlotRestorations.Remove(checkpoint_position._proto_id);

foreach (var deferred_slot_restoration in positions)

{

var (slot_variable_position, slot_variable) = checkpoint_position.create_slot_variable_position(

trackable as Optimizer, deferred_slot_restoration.OriginalVariable, deferred_slot_restoration.SlotVariableId,

deferred_slot_restoration.SlotName

);

if(slot_variable_position is not null)

{

visit_queue.Enqueue((slot_variable_position, slot_variable));

}

if (checkpoint.SlotRestorations.TryGetValue(checkpoint_position._proto_id, out var restorations))

{

checkpoint.SlotRestorations.Remove(checkpoint_position._proto_id);

foreach (var slot_restoration in restorations)

{

if(Checkpoint.ObjectByProtoId.TryGetValue(slot_restoration.OptimizerId, out var optimizer_object))

{

throw new NotImplementedException();

// TODO(Rinne)； implement it.

}

else

{

Debug.Assert(trackable is BaseResourceVariable);

Checkpoint.DeferredSlotRestorations.SetDefault(slot_restoration.OptimizerId, new List<DeferredSlotVariableRestoration>())

.Add(new DeferredSlotVariableRestoration(trackable as BaseResourceVariable, slot_restoration.SlotVariableId, slot_restoration.SlotName));

}

private (List<Operation>, Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>>, List<CheckpointPosition>, object?) _single_restore()

{

var trackable = this.Trackable;

trackable._maybe_initialize_trackable();

if(_checkpoint.RestoreUid > trackable.UpdateUid)

{

var (restore_ops, tensor_saveables, positions, registered_savers) = gather_ops_or_named_saveables();

trackable.UpdateUid = _checkpoint.RestoreUid;

return (restore_ops, tensor_saveables, positions, registered_savers);

}

else

{

return (new List<Operation>(), new Dictionary<string, OneOf<BaseResourceVariable, MySaveableObject>>(),

new List<CheckpointPosition>(), null);

}

public record class DeferredSlotVariableRestoration(

BaseResourceVariable OriginalVariable,

int SlotVariableId,

string SlotName

);

TensorFlow.NET/src/TensorFlowNET.Core/Checkpoint/restore.cs at master · feelsyt/TensorFlow.NET · GitHub

Expand file tree

Breadcrumbs

restore.cs

Latest commit

History

Breadcrumbs

restore.cs

File metadata and controls