Remove LinearModel from 2.0.

PiperOrigin-RevId: 241836373

tensorflow/python/feature_column/feature_column_v2.py

@@ -573,7 +573,6 @@ class _LinearModelLayer(Layer):
       return predictions
 
 
-@keras_export('keras.layers.LinearModel', v1=[])
 class LinearModel(training.Model):
   """Produces a linear prediction `Tensor` based on given `feature_columns`.
 

tensorflow/tools/api/golden/v2/tensorflow.keras.layers.-linear-model.pbtxt

@@ -1,293 +0,0 @@
-path: "tensorflow.keras.layers.LinearModel"
-tf_class {
-  is_instance: "<class \'tensorflow.python.feature_column.feature_column_v2.LinearModel\'>"
-  is_instance: "<class \'tensorflow.python.keras.engine.training.Model\'>"
-  is_instance: "<class \'tensorflow.python.keras.engine.network.Network\'>"
-  is_instance: "<class \'tensorflow.python.keras.engine.base_layer.Layer\'>"
-  is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
-  is_instance: "<type \'object\'>"
-  member {
-    name: "activity_regularizer"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "bias"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dtype"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "dynamic"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "inbound_nodes"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "input"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "input_mask"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "input_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "input_spec"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "layers"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "losses"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "metrics"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "metrics_names"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "name"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "non_trainable_variables"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "non_trainable_weights"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "outbound_nodes"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "output"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "output_mask"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "output_shape"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "run_eagerly"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "state_updates"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "stateful"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "trainable_variables"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "trainable_weights"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "updates"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "variables"
-    mtype: "<type \'property\'>"
-  }
-  member {
-    name: "weights"
-    mtype: "<type \'property\'>"
-  }
-  member_method {
-    name: "__init__"
-    argspec: "args=[\'self\', \'feature_columns\', \'units\', \'sparse_combiner\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'sum\', \'True\', \'None\'], "
-  }
-  member_method {
-    name: "add_loss"
-    argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
-  }
-  member_method {
-    name: "add_metric"
-    argspec: "args=[\'self\', \'value\', \'aggregation\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
-  }
-  member_method {
-    name: "add_update"
-    argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
-  }
-  member_method {
-    name: "add_variable"
-    argspec: "args=[\'self\'], varargs=args, keywords=kwargs, defaults=None"
-  }
-  member_method {
-    name: "add_weight"
-    argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\', \'use_resource\', \'synchronization\', \'aggregation\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'VariableSynchronization.AUTO\', \'VariableAggregation.NONE\'], "
-  }
-  member_method {
-    name: "apply"
-    argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
-  }
-  member_method {
-    name: "build"
-    argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "call"
-    argspec: "args=[\'self\', \'features\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "compile"
-    argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_mode\', \'weighted_metrics\', \'target_tensors\', \'distribute\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
-  }
-  member_method {
-    name: "compute_mask"
-    argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "compute_output_shape"
-    argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "count_params"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "evaluate"
-    argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'verbose\', \'sample_weight\', \'steps\', \'callbacks\', \'max_queue_size\', \'workers\', \'use_multiprocessing\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'1\', \'None\', \'None\', \'None\', \'10\', \'1\', \'False\'], "
-  }
-  member_method {
-    name: "evaluate_generator"
-    argspec: "args=[\'self\', \'generator\', \'steps\', \'callbacks\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'10\', \'1\', \'False\', \'0\'], "
-  }
-  member_method {
-    name: "fit"
-    argspec: "args=[\'self\', \'x\', \'y\', \'batch_size\', \'epochs\', \'verbose\', \'callbacks\', \'validation_split\', \'validation_data\', \'shuffle\', \'class_weight\', \'sample_weight\', \'initial_epoch\', \'steps_per_epoch\', \'validation_steps\', \'validation_freq\', \'max_queue_size\', \'workers\', \'use_multiprocessing\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'1\', \'1\', \'None\', \'0.0\', \'None\', \'True\', \'None\', \'None\', \'0\', \'None\', \'None\', \'1\', \'10\', \'1\', \'False\'], "
-  }
-  member_method {
-    name: "fit_generator"
-    argspec: "args=[\'self\', \'generator\', \'steps_per_epoch\', \'epochs\', \'verbose\', \'callbacks\', \'validation_data\', \'validation_steps\', \'validation_freq\', \'class_weight\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'shuffle\', \'initial_epoch\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'1\', \'None\', \'None\', \'None\', \'1\', \'None\', \'10\', \'1\', \'False\', \'True\', \'0\'], "
-  }
-  member_method {
-    name: "from_config"
-    argspec: "args=[\'cls\', \'config\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
-  }
-  member_method {
-    name: "get_config"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "get_input_at"
-    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "get_input_mask_at"
-    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "get_input_shape_at"
-    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "get_layer"
-    argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
-  }
-  member_method {
-    name: "get_losses_for"
-    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "get_output_at"
-    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "get_output_mask_at"
-    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "get_output_shape_at"
-    argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "get_updates_for"
-    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "get_weights"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "load_weights"
-    argspec: "args=[\'self\', \'filepath\', \'by_name\'], varargs=None, keywords=None, defaults=[\'False\'], "
-  }
-  member_method {
-    name: "predict"
-    argspec: "args=[\'self\', \'x\', \'batch_size\', \'verbose\', \'steps\', \'callbacks\', \'max_queue_size\', \'workers\', \'use_multiprocessing\'], varargs=None, keywords=None, defaults=[\'None\', \'0\', \'None\', \'None\', \'10\', \'1\', \'False\'], "
-  }
-  member_method {
-    name: "predict_generator"
-    argspec: "args=[\'self\', \'generator\', \'steps\', \'callbacks\', \'max_queue_size\', \'workers\', \'use_multiprocessing\', \'verbose\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'10\', \'1\', \'False\', \'0\'], "
-  }
-  member_method {
-    name: "predict_on_batch"
-    argspec: "args=[\'self\', \'x\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "reset_metrics"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "reset_states"
-    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "save"
-    argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'include_optimizer\'], varargs=None, keywords=None, defaults=[\'True\', \'True\'], "
-  }
-  member_method {
-    name: "save_weights"
-    argspec: "args=[\'self\', \'filepath\', \'overwrite\', \'save_format\'], varargs=None, keywords=None, defaults=[\'True\', \'None\'], "
-  }
-  member_method {
-    name: "set_weights"
-    argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
-  }
-  member_method {
-    name: "summary"
-    argspec: "args=[\'self\', \'line_length\', \'positions\', \'print_fn\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
-  }
-  member_method {
-    name: "test_on_batch"
-    argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'reset_metrics\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
-  }
-  member_method {
-    name: "to_json"
-    argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
-  }
-  member_method {
-    name: "to_yaml"
-    argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
-  }
-  member_method {
-    name: "train_on_batch"
-    argspec: "args=[\'self\', \'x\', \'y\', \'sample_weight\', \'class_weight\', \'reset_metrics\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
-  }
-}

tensorflow/tools/api/golden/v2/tensorflow.keras.layers.pbtxt

@@ -240,10 +240,6 @@ tf_module {
     name: "LeakyReLU"
     mtype: "<type \'type\'>"
   }
-  member {
-    name: "LinearModel"
-    mtype: "<type \'type\'>"
-  }
   member {
     name: "LocallyConnected1D"
     mtype: "<type \'type\'>"