Updates to MLCompute interface to use correct API.

src/ml/neural_net/mlc_dc_backend.mm

@@ -154,7 +154,7 @@ mlc_layer_weights import_weights(const float_array_map &weights)
     // Instantiate training graph.
     MLCGraph *graph = [MLCGraph tc_graphForDrawingClassifierDescriptor:descriptor
                                                              batchSize:batch_size];
-    training_graph_ = [MLCTrainingGraph trainingGraphWithGraphObjects:@[ graph ]
+    training_graph_ = [MLCTrainingGraph graphWithGraphObjects:@[ graph ]
                                                             lossLayer:loss
                                                             optimizer:optimizer];
 

src/ml/neural_net/mlc_layer_weights.mm

@@ -195,7 +195,7 @@
     MLCTensorData *optimizerData1 = copy_float_array(optimizer_data_1_key, optimizer_data_1);
     MLCTensorData *optimizerData2 = copy_float_array(optimizer_data_2_key, optimizer_data_2);
     if (tensors_[layerName] != nil) {
-      BOOL success = [tensors_[layerName] optimizerData:@[ optimizerData1, optimizerData2 ]];
+      BOOL success = [tensors_[layerName] bindOptimizerData:@[ optimizerData1, optimizerData2] deviceData:nil];
       if (!success) {
         throw("Failed to load optimizer data into tensor");
       }

src/ml/neural_net/mlc_od_backend.mm

@@ -166,10 +166,10 @@ mlc_layer_weights import_weights(const float_array_map &weights)
     MLCSGDOptimizer *optimizer =
         [MLCSGDOptimizer optimizerWithDescriptor:create_optimizer_descriptor(config)
                                    momentumScale:0.9f
-                             usesNestrovMomentum:NO];
+                             usesNesterovMomentum:NO];
 
     // Instantiate training graph.
-    result.trainingGraph = [MLCTrainingGraph trainingGraphWithGraphObjects:@[ graph ]
+    result.trainingGraph = [MLCTrainingGraph graphWithGraphObjects:@[ graph ]
                                                                  lossLayer:lossLayer
                                                                  optimizer:optimizer];