remove estimator.

src/TensorFlowNET.Core/APIs/tf.estimator.cs

@@ -1,61 +0,0 @@
-/*****************************************************************************
-   Copyright 2018 The TensorFlow.NET Authors. All Rights Reserved.
-
-   Licensed under the Apache License, Version 2.0 (the "License");
-   you may not use this file except in compliance with the License.
-   You may obtain a copy of the License at
-
-       http://www.apache.org/licenses/LICENSE-2.0
-
-   Unless required by applicable law or agreed to in writing, software
-   distributed under the License is distributed on an "AS IS" BASIS,
-   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-   See the License for the specific language governing permissions and
-   limitations under the License.
-******************************************************************************/
-
-using System;
-using static Tensorflow.Binding;
-using Tensorflow.Estimators;
-using Tensorflow.Data;
-
-namespace Tensorflow
-{
-    public partial class tensorflow
-    {
-        public Estimator_Internal estimator { get; } = new Estimator_Internal();
-
-        public class Estimator_Internal
-        {
-            public Experimental experimental { get; } = new Experimental();
-            public Estimator<Thyp> Estimator<Thyp>(Func<IEstimatorInputs, EstimatorSpec> model_fn,
-                string model_dir = null,
-                RunConfig config = null,
-                Thyp hyperParams = default)
-                => new Estimator<Thyp>(model_fn: model_fn, model_dir: model_dir, config: config, hyperParams: hyperParams);
-
-            public RunConfig RunConfig(string model_dir = null, int save_checkpoints_secs = 180)
-                => new RunConfig(model_dir: model_dir, save_checkpoints_secs: save_checkpoints_secs);
-
-            public void train_and_evaluate<Thyp>(Estimator<Thyp> estimator, TrainSpec train_spec, EvalSpec eval_spec)
-                => Training.train_and_evaluate(estimator: estimator, train_spec: train_spec, eval_spec: eval_spec);
-
-            public TrainSpec TrainSpec(Func<DatasetV1Adapter> input_fn, int max_steps)
-                => new TrainSpec(input_fn: input_fn, max_steps: max_steps);
-
-            /// <summary>
-            /// Create an `Exporter` to use with `tf.estimator.EvalSpec`.
-            /// </summary>
-            /// <param name="name"></param>
-            /// <param name="serving_input_receiver_fn"></param>
-            /// <param name="as_text"></param>
-            /// <returns></returns>
-            public FinalExporter FinalExporter(string name, Action serving_input_receiver_fn, bool as_text = false)
-                => new FinalExporter(name: name, serving_input_receiver_fn: serving_input_receiver_fn, 
-                    as_text: as_text);
-
-            public EvalSpec EvalSpec(string name, Action input_fn, FinalExporter exporters)
-                => new EvalSpec(name: name, input_fn: input_fn, exporters: exporters);
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/Estimator.cs

@@ -1,147 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Diagnostics;
-using System.IO;
-using System.Text;
-using Tensorflow.Data;
-using Tensorflow.Train;
-using static Tensorflow.Binding;
-
-namespace Tensorflow.Estimators
-{
-    /// <summary>
-    /// Estimator class to train and evaluate TensorFlow models.
-    /// </summary>
-    public class Estimator<Thyp> : IObjectLife
-    {
-        RunConfig _config;
-        public RunConfig config => _config;
-
-        ConfigProto _session_config;
-        public ConfigProto session_config => _session_config;
-
-        Func<IEstimatorInputs, EstimatorSpec> _model_fn;
-
-        Thyp _hyperParams;
-
-        public Estimator(Func<IEstimatorInputs, EstimatorSpec> model_fn,
-            string model_dir,
-            RunConfig config,
-            Thyp hyperParams)
-        {
-            _config = config;
-            _config.model_dir = config.model_dir ?? model_dir;
-            _session_config = config.session_config;
-            _model_fn = model_fn;
-            _hyperParams = hyperParams;
-        }
-
-        public Estimator<Thyp> train(Func<DatasetV1Adapter> input_fn, int max_steps = 1, Action[] hooks = null,
-            _NewCheckpointListenerForEvaluate<Thyp>[] saving_listeners = null)
-        {
-            if(max_steps > 0)
-            {
-                var start_step = _load_global_step_from_checkpoint_dir(_config.model_dir);
-                if (max_steps <= start_step)
-                {
-                    Console.WriteLine("Skipping training since max_steps has already saved.");
-                    return this;
-                }
-            }
-
-            var loss = _train_model(input_fn);
-            print($"Loss for final step: {loss}.");
-            return this;
-        }
-
-        private int _load_global_step_from_checkpoint_dir(string checkpoint_dir)
-        {
-            // var cp = tf.train.latest_checkpoint(checkpoint_dir);
-            // should use NewCheckpointReader (not implemented)
-            var cp = tf.train.get_checkpoint_state(checkpoint_dir);
-
-            return cp.AllModelCheckpointPaths.Count - 1;
-        }
-
-        private Tensor _train_model(Func<DatasetV1Adapter> input_fn)
-        {
-            return _train_model_default(input_fn);
-        }
-
-        private Tensor _train_model_default(Func<DatasetV1Adapter> input_fn)
-        {
-            using (var g = tf.Graph().as_default())
-            {
-                var global_step_tensor = _create_and_assert_global_step(g);
-
-                // Skip creating a read variable if _create_and_assert_global_step
-                // returns None (e.g. tf.contrib.estimator.SavedModelEstimator).
-                if (global_step_tensor != null)
-                    TrainingUtil._get_or_create_global_step_read(g);
-
-                var (features, labels) = _get_features_and_labels_from_input_fn(input_fn, "train");
-            }
-
-            throw new NotImplementedException("");
-        }
-
-        private (Dictionary<string, Tensor>, Dictionary<string, Tensor>) _get_features_and_labels_from_input_fn(Func<DatasetV1Adapter> input_fn, string mode)
-        {
-            var result = _call_input_fn(input_fn, mode);
-            return EstimatorUtil.parse_input_fn_result(result);
-        }
-
-        /// <summary>
-        /// Calls the input function.
-        /// </summary>
-        /// <param name="input_fn"></param>
-        /// <param name="mode"></param>
-        private DatasetV1Adapter _call_input_fn(Func<DatasetV1Adapter> input_fn, string mode)
-        {
-            return input_fn();
-        }
-
-        private Tensor _create_and_assert_global_step(Graph graph)
-        {
-            var step = _create_global_step(graph);
-            Debug.Assert(step == tf.train.get_global_step(graph));
-            Debug.Assert(step.dtype.is_integer());
-            return step;
-        }
-
-        private RefVariable _create_global_step(Graph graph)
-        {
-            return tf.train.create_global_step(graph);
-        }
-
-        public string eval_dir(string name = null)
-        {
-            return Path.Combine(config.model_dir, string.IsNullOrEmpty(name) ? "eval" : $"eval_" + name);
-        }
-
-        public void __init__()
-        {
-            throw new NotImplementedException();
-        }
-
-        public void __enter__()
-        {
-            throw new NotImplementedException();
-        }
-
-        public void __del__()
-        {
-            throw new NotImplementedException();
-        }
-
-        public void __exit__()
-        {
-            throw new NotImplementedException();
-        }
-
-        public void Dispose()
-        {
-            
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/EstimatorSpec.cs

@@ -1,16 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace Tensorflow.Estimators
-{
-    public class EstimatorSpec
-    {
-        public EstimatorSpec(Operation train_op)
-        {
-
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/EstimatorUtil.cs

@@ -1,15 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-using Tensorflow.Data;
-
-namespace Tensorflow.Estimators
-{
-    public class EstimatorUtil
-    {
-        public static (Dictionary<string, Tensor>, Dictionary<string, Tensor>) parse_input_fn_result(DatasetV1Adapter result)
-        {
-            throw new NotImplementedException("");
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/EvalSpec.cs

@@ -1,16 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-
-namespace Tensorflow.Estimators
-{
-    public class EvalSpec
-    {
-        string _name;
-
-        public EvalSpec(string name, Action input_fn, FinalExporter exporters)
-        {
-            _name = name;
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/Experimental.cs

@@ -1,61 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace Tensorflow.Estimators
-{
-    public class Experimental
-    {
-        /// <summary>
-        /// Creates hook to stop if metric does not increase within given max steps.
-        /// </summary>
-        /// <typeparam name="Thyp">type of hyper parameters</typeparam>
-        /// <param name="estimator"></param>
-        /// <param name="metric_name"></param>
-        /// <param name="max_steps_without_increase"></param>
-        /// <param name="eval_dir"></param>
-        /// <param name="min_steps"></param>
-        /// <param name="run_every_secs"></param>
-        /// <param name="run_every_steps"></param>
-        /// <returns></returns>
-        public object stop_if_no_increase_hook<Thyp>(Estimator<Thyp> estimator,
-            string metric_name,
-            int max_steps_without_increase,
-            string eval_dir = null,
-            int min_steps = 0,
-            int run_every_secs = 60,
-            int run_every_steps = 0)
-        => _stop_if_no_metric_improvement_hook(estimator: estimator,
-            metric_name: metric_name,
-            max_steps_without_increase: max_steps_without_increase,
-            eval_dir: eval_dir,
-            min_steps: min_steps,
-            run_every_secs: run_every_secs,
-            run_every_steps: run_every_steps);
-
-        private object _stop_if_no_metric_improvement_hook<Thyp>(Estimator<Thyp> estimator,
-            string metric_name,
-            int max_steps_without_increase,
-            string eval_dir = null,
-            int min_steps = 0,
-            int run_every_secs = 60,
-            int run_every_steps = 0)
-        {
-            eval_dir = eval_dir ?? estimator.eval_dir();
-            // var is_lhs_better = higher_is_better ? operator.gt: operator.lt;
-            Func<bool> stop_if_no_metric_improvement_fn = () =>
-            {
-                return false;
-            };
-
-            return make_early_stopping_hook();
-        }
-
-        public object make_early_stopping_hook()
-        {
-            throw new NotImplementedException("");
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/Exporter.cs

@@ -1,11 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-
-namespace Tensorflow.Estimators
-{
-    public abstract class Exporter<Thyp>
-    {
-        public abstract void export(Estimator<Thyp> estimator, string export_path, string checkpoint_path);
-    }
-}

src/TensorFlowNET.Core/Estimators/FinalExporter.cs

@@ -1,14 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-
-namespace Tensorflow.Estimators
-{
-    public class FinalExporter
-    {
-        public FinalExporter(string name, Action serving_input_receiver_fn, bool as_text = false)
-        {
-
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/HyperParams.cs

@@ -1,89 +0,0 @@
-using System.IO;
-
-namespace Tensorflow.Estimators
-{
-    public class HyperParams
-    {
-        /// <summary>
-        /// root dir
-        /// </summary>
-        public string data_root_dir { get; set; }
-
-        /// <summary>
-        /// results dir
-        /// </summary>
-        public string result_dir { get; set; } = "results";
-
-        /// <summary>
-        /// model dir
-        /// </summary>
-        public string model_dir { get; set; } = "model";
-
-        public string eval_dir { get; set; } = "eval";
-
-        public string test_dir { get; set; } = "test";
-
-        public int dim { get; set; } = 300;
-        public float dropout { get; set; } = 0.5f;
-        public int num_oov_buckets { get; set; } = 1;
-        public int epochs { get; set; } = 25;
-        public int epoch_no_imprv { get; set; } = 3;
-        public int batch_size { get; set; } = 20;
-        public int buffer { get; set; } = 15000;
-        public int lstm_size { get; set; } = 100;
-        public string lr_method { get; set; } = "adam";
-        public float lr { get; set; } = 0.001f;
-        public float lr_decay { get; set; } = 0.9f;
-
-        /// <summary>
-        /// lstm on chars
-        /// </summary>
-        public int hidden_size_char { get; set; } = 100;
-
-        /// <summary>
-        /// lstm on word embeddings
-        /// </summary>
-        public int hidden_size_lstm { get; set; } = 300;
-
-        /// <summary>
-        /// is clipping
-        /// </summary>
-        public bool clip { get; set; } = false;
-
-        public string filepath_dev { get; set; }
-        public string filepath_test { get; set; }
-        public string filepath_train { get; set; }
-
-        public string filepath_words { get; set; }
-        public string filepath_chars { get; set; }
-        public string filepath_tags { get; set; }
-        public string filepath_glove { get; set; }
-
-        public HyperParams(string dataDir)
-        {
-            data_root_dir = dataDir;
-
-            if (string.IsNullOrEmpty(data_root_dir))
-                throw new ValueError("Please specifiy the root data directory");
-
-            if (!Directory.Exists(data_root_dir))
-                Directory.CreateDirectory(data_root_dir);
-
-            result_dir = Path.Combine(data_root_dir, result_dir);
-            if (!Directory.Exists(result_dir))
-                Directory.CreateDirectory(result_dir);
-
-            model_dir = Path.Combine(result_dir, model_dir);
-            if (!Directory.Exists(model_dir))
-                Directory.CreateDirectory(model_dir);
-
-            test_dir = Path.Combine(result_dir, test_dir);
-            if (!Directory.Exists(test_dir))
-                Directory.CreateDirectory(test_dir);
-
-            eval_dir = Path.Combine(result_dir, eval_dir);
-            if (!Directory.Exists(eval_dir))
-                Directory.CreateDirectory(eval_dir);
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/IEstimatorInputs.cs

@@ -1,12 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace Tensorflow.Estimators
-{
-    public interface IEstimatorInputs
-    {
-    }
-}

src/TensorFlowNET.Core/Estimators/README.md

@@ -1,7 +0,0 @@
-# TensorFlow Estimator
-
-TensorFlow Estimator is a high-level TensorFlow API that greatly simplifies machine learning programming. Estimators encapsulate training, evaluation, prediction, and exporting for your model.
-
-
-
-https://github.com/tensorflow/estimator

src/TensorFlowNET.Core/Estimators/RunConfig.cs

@@ -1,103 +0,0 @@
-using System;
-
-namespace Tensorflow.Estimators
-{
-    public class RunConfig
-    {
-        // A list of the property names in RunConfig that the user is allowed to change.
-        private static readonly string[] _DEFAULT_REPLACEABLE_LIST = new []
-        {
-            "model_dir",
-            "tf_random_seed",
-            "save_summary_steps",
-            "save_checkpoints_steps",
-            "save_checkpoints_secs",
-            "session_config",
-            "keep_checkpoint_max",
-            "keep_checkpoint_every_n_hours",
-            "log_step_count_steps",
-            "train_distribute",
-            "device_fn",
-            "protocol",
-            "eval_distribute",
-            "experimental_distribute",
-            "experimental_max_worker_delay_secs",
-            "session_creation_timeout_secs"
-        };
-
-
-        #region const values
-
-        private const string _SAVE_CKPT_ERR = "`save_checkpoints_steps` and `save_checkpoints_secs` cannot be both set.";
-        private const string _TF_CONFIG_ENV = "TF_CONFIG";
-        private const string _TASK_ENV_KEY = "task";
-        private const string _TASK_TYPE_KEY = "type";
-        private const string _TASK_ID_KEY = "index";
-        private const string _CLUSTER_KEY = "cluster";
-        private const string _SERVICE_KEY = "service";
-        private const string _SESSION_MASTER_KEY = "session_master";
-        private const string _EVAL_SESSION_MASTER_KEY = "eval_session_master";
-        private const string _MODEL_DIR_KEY = "model_dir";
-        private const string _LOCAL_MASTER = "";
-        private const string _GRPC_SCHEME = "grpc://";
-
-        #endregion
-
-        public string model_dir { get; set; }
-        public ConfigProto session_config { get; set; }
-        public int? tf_random_seed { get; set; }
-        public int save_summary_steps { get; set; } = 100;
-        public int save_checkpoints_steps { get; set; }
-        public int save_checkpoints_secs { get; set; } = 600;
-        public int keep_checkpoint_max { get; set; } = 5;        
-        public int keep_checkpoint_every_n_hours { get; set; } = 10000;         
-        public int log_step_count_steps{ get; set; } = 100;
-        public object train_distribute { get; set; }
-        public object device_fn { get; set; }
-        public object protocol { get; set; }
-        public object eval_distribute { get; set; }
-        public object experimental_distribute { get; set; }
-        public object experimental_max_worker_delay_secs { get; set; }
-        public int session_creation_timeout_secs  { get; set; } = 7200;
-        public object service { get; set; }
-
-        public RunConfig()
-        {
-            Initialize();
-        }
-
-        public RunConfig(string model_dir,
-            int save_checkpoints_secs)
-        {
-            this.model_dir = model_dir;
-            this.save_checkpoints_secs = save_checkpoints_secs;
-            Initialize();
-        }
-
-        public RunConfig(
-            string model_dir = null,
-            int? tf_random_seed = null,
-            int save_summary_steps=100,
-            object save_checkpoints_steps = null, // _USE_DEFAULT
-            object save_checkpoints_secs = null, // _USE_DEFAULT
-            object session_config = null,
-            int keep_checkpoint_max = 5,
-            int keep_checkpoint_every_n_hours = 10000,
-            int log_step_count_steps = 100,
-            object train_distribute = null,
-            object device_fn = null,
-            object protocol = null,
-            object eval_distribute = null,
-            object experimental_distribute = null,
-            object experimental_max_worker_delay_secs = null,
-            int session_creation_timeout_secs = 7200)
-        {
-            this.model_dir = model_dir;      
-            Initialize();
-        }
-
-        private void Initialize()
-        {
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/TrainSpec.cs

@@ -1,22 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-using Tensorflow.Data;
-
-namespace Tensorflow.Estimators
-{
-    public class TrainSpec
-    {
-        int _max_steps;
-        public int max_steps => _max_steps;
-
-        Func<DatasetV1Adapter> _input_fn;
-        public Func<DatasetV1Adapter> input_fn => _input_fn;
-
-        public TrainSpec(Func<DatasetV1Adapter> input_fn, int max_steps)
-        {
-            _max_steps = max_steps;
-            _input_fn = input_fn;
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/Training.cs

@@ -1,17 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-
-namespace Tensorflow.Estimators
-{
-    public class Training
-    {
-        public static void train_and_evaluate<Thyp>(Estimator<Thyp> estimator, TrainSpec train_spec, EvalSpec eval_spec)
-        {
-            var executor = new _TrainingExecutor<Thyp>(estimator: estimator, train_spec: train_spec, eval_spec: eval_spec);
-            var config = estimator.config;
-
-            executor.run();
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/_Evaluator.cs

@@ -1,14 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-
-namespace Tensorflow.Estimators
-{
-    public class _Evaluator<Thyp>
-    {
-        public _Evaluator(Estimator<Thyp> estimator, EvalSpec eval_spec, int max_training_steps)
-        {
-
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/_NewCheckpointListenerForEvaluate.cs

@@ -1,16 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-
-namespace Tensorflow.Estimators
-{
-    public class _NewCheckpointListenerForEvaluate<Thyp>
-    {
-        _Evaluator<Thyp> _evaluator;
-
-        public _NewCheckpointListenerForEvaluate(_Evaluator<Thyp> evaluator, int eval_throttle_secs)
-        {
-            _evaluator = evaluator;
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/_SavedModelExporter.cs

@@ -1,14 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-
-namespace Tensorflow.Estimators
-{
-    public class _SavedModelExporter<Thyp> : Exporter<Thyp>
-    {
-        public override void export(Estimator<Thyp> estimator, string export_path, string checkpoint_path)
-        {
-            
-        }
-    }
-}

src/TensorFlowNET.Core/Estimators/_TrainingExecutor.cs

@@ -1,48 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Text;
-
-namespace Tensorflow.Estimators
-{
-    /// <summary>
-    /// The executor to run `Estimator` training and evaluation.
-    /// </summary>
-    internal class _TrainingExecutor<Thyp>
-    {
-        Estimator<Thyp> _estimator;
-        EvalSpec _eval_spec;
-        TrainSpec _train_spec;
-
-        public _TrainingExecutor(Estimator<Thyp> estimator, TrainSpec train_spec, EvalSpec eval_spec)
-        {
-            _estimator = estimator;
-            _train_spec = train_spec;
-            _eval_spec = eval_spec;
-        }
-
-        public void run()
-        {
-            var config = _estimator.config;
-            Console.WriteLine("Running training and evaluation locally (non-distributed).");
-            run_local();
-        }
-
-        /// <summary>
-        /// Runs training and evaluation locally (non-distributed).
-        /// </summary>
-        private void run_local()
-        {
-            var train_hooks = new Action[0];
-            Console.WriteLine("Start train and evaluate loop. The evaluate will happen " +
-                "after every checkpoint. Checkpoint frequency is determined " +
-                $"based on RunConfig arguments: save_checkpoints_steps {_estimator.config.save_checkpoints_steps} or " +
-                $"save_checkpoints_secs {_estimator.config.save_checkpoints_secs}.");
-            var evaluator = new _Evaluator<Thyp>(_estimator, _eval_spec, _train_spec.max_steps);
-            var saving_listeners = new _NewCheckpointListenerForEvaluate<Thyp>[0];
-            _estimator.train(input_fn: _train_spec.input_fn,
-                 max_steps: _train_spec.max_steps,
-                 hooks: train_hooks,
-                 saving_listeners: saving_listeners);
-        }
-    }
-}

src/TensorFlowNET.Core/Operations/Operation.cs

@@ -186,11 +186,6 @@ namespace Tensorflow
             if (op_def == null)
                 op_def = g.GetOpDef(node_def.Op);
 
-            if (node_def.Name.Equals("learn_rate/cond/pred_id"))
-            {
-
-            }
-
             var grouped_inputs = _reconstruct_sequence_inputs(op_def, inputs, node_def.Attr);
             _handle = ops._create_c_op(g, node_def, grouped_inputs, control_input_ops.ToArray());
             _is_stateful = op_def.IsStateful;

src/TensorFlowNET.Core/TensorFlow.Binding.csproj

@@ -42,8 +42,14 @@ https://tensorflownet.readthedocs.io</Description>
   </PropertyGroup>
 
   <ItemGroup>
+    <Compile Remove="Distribute\**" />
+    <Compile Remove="Models\**" />
     <Compile Remove="runtimes\**" />
+    <EmbeddedResource Remove="Distribute\**" />
+    <EmbeddedResource Remove="Models\**" />
     <EmbeddedResource Remove="runtimes\**" />
+    <None Remove="Distribute\**" />
+    <None Remove="Models\**" />
     <None Remove="runtimes\**" />
     <None Include="..\..\LICENSE">
       <Pack>True</Pack>
@@ -61,8 +67,7 @@ https://tensorflownet.readthedocs.io</Description>
   </ItemGroup>
 
   <ItemGroup>
-    <Folder Include="Distribute\" />
+    <Folder Include="Estimators\" />
     <Folder Include="Keras\Initializers\" />
-    <Folder Include="Models\" />
   </ItemGroup>
 </Project>

test/TensorFlowNET.UnitTest/Estimators/RunConfigTest.cs

@@ -1,64 +0,0 @@
-using Microsoft.VisualStudio.TestTools.UnitTesting;
-using System;
-using Tensorflow;
-using Tensorflow.Eager;
-using Tensorflow.Estimators;
-
-namespace TensorFlowNET.UnitTest.Estimators
-{
-    /// <summary>
-    /// estimator/tensorflow_estimator/python/estimator/run_config_test.py
-    /// </summary>
-    [TestClass]
-    public class RunConfigTest
-    {
-        private static readonly string _TEST_DIR = "test_dir";
-        private static readonly string _MASTER = "master_";
-        private static readonly string _NOT_SUPPORTED_REPLACE_PROPERTY_MSG = "Replacing .*is not supported";        
-        private static readonly string _SAVE_CKPT_ERR = "`save_checkpoints_steps` and `save_checkpoints_secs` cannot be both set.";
-        private static readonly string _MODEL_DIR_ERR = "model_dir should be non-empty";        
-        private static readonly string _MODEL_DIR_TF_CONFIG_ERR = "model_dir in TF_CONFIG should be non-empty";
-        private static readonly string _MODEL_DIR_MISMATCH_ERR = "`model_dir` provided in RunConfig construct, if set, must have the same value as the model_dir in TF_CONFIG. ";
-        private static readonly string _SAVE_SUMMARY_STEPS_ERR = "save_summary_steps should be >= 0";        
-        private static readonly string _SAVE_CKPT_STEPS_ERR = "save_checkpoints_steps should be >= 0";
-        private static readonly string _SAVE_CKPT_SECS_ERR = "save_checkpoints_secs should be >= 0";
-        private static readonly string _SESSION_CONFIG_ERR = "session_config must be instance of ConfigProto";
-        private static readonly string _KEEP_CKPT_MAX_ERR = "keep_checkpoint_max should be >= 0";
-        private static readonly string _KEEP_CKPT_HOURS_ERR = "keep_checkpoint_every_n_hours should be > 0";
-        private static readonly string _TF_RANDOM_SEED_ERR = "tf_random_seed must be integer";
-        private static readonly string _DEVICE_FN_ERR = "device_fn must be callable with exactly one argument \"op\".";
-        private static readonly string _ONE_CHIEF_ERR = "The \"cluster\" in TF_CONFIG must have only one \"chief\" node.";
-        private static readonly string _ONE_MASTER_ERR = "The \"cluster\" in TF_CONFIG must have only one \"master\" node.";
-        private static readonly string _MISSING_CHIEF_ERR = "If \"cluster\" is set .* it must have one \"chief\" node";
-        private static readonly string _MISSING_TASK_TYPE_ERR = "If \"cluster\" is set .* task type must be set";
-        private static readonly string _MISSING_TASK_ID_ERR = "If \"cluster\" is set .* task index must be set";
-        private static readonly string _INVALID_TASK_INDEX_ERR = "is not a valid task_id";
-        private static readonly string _NEGATIVE_TASK_INDEX_ERR = "Task index must be non-negative number.";
-        private static readonly string _INVALID_TASK_TYPE_ERR = "is not a valid task_type";
-        private static readonly string _INVALID_TASK_TYPE_FOR_LOCAL_ERR = "If \"cluster\" is not set in TF_CONFIG, task type must be WORKER.";
-        private static readonly string _INVALID_TASK_INDEX_FOR_LOCAL_ERR = "If \"cluster\" is not set in TF_CONFIG, task index must be 0.";
-        private static readonly string _INVALID_EVALUATOR_IN_CLUSTER_WITH_MASTER_ERR = "If `master` node exists in `cluster`, task_type `evaluator` is not supported.";
-        private static readonly string _INVALID_CHIEF_IN_CLUSTER_WITH_MASTER_ERR = "If `master` node exists in `cluster`, job `chief` is not supported.";
-        private static readonly string _INVALID_SERVICE_TYPE_ERR = "If \"service\" is set in TF_CONFIG, it must be a dict. Given";
-        private static readonly string _EXPERIMENTAL_MAX_WORKER_DELAY_SECS_ERR = "experimental_max_worker_delay_secs must be an integer if set.";
-        private static readonly string _SESSION_CREATION_TIMEOUT_SECS_ERR = "session_creation_timeout_secs should be > 0";
-
-        [TestMethod]
-        public void test_default_property_values()
-        {
-            var config = new RunConfig();
-
-            Assert.IsNull(config.model_dir);
-            Assert.IsNull(config.session_config);
-            Assert.IsNull(config.tf_random_seed);
-            Assert.AreEqual(100, config.save_summary_steps);
-            Assert.AreEqual(600, config.save_checkpoints_secs);
-            Assert.AreEqual(5, config.keep_checkpoint_max);
-            Assert.AreEqual(10000, config.keep_checkpoint_every_n_hours);
-            Assert.IsNull(config.service);
-            Assert.IsNull(config.device_fn);
-            Assert.IsNull(config.experimental_max_worker_delay_secs);
-            Assert.AreEqual(7200, config.session_creation_timeout_secs);
-        }
-    }
-}