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//

// Low-level tests

//

using System;

using System.Runtime.CompilerServices;

using System.Runtime.InteropServices;

using TensorFlow;

using System.IO;

using System.Collections.Generic;

using Learn.Mnist;

using System.Linq;

namespace SampleTest

{

partial class MainClass

{

TFOperation Placeholder (TFGraph graph, TFStatus s)

{

var desc = new TFOperationDesc (graph, "Placeholder", "feed");

desc.SetAttrType ("dtype", TFDataType.Int32);

Console.WriteLine ("Handle: {0}", desc.Handle);

var j = desc.FinishOperation ();

Console.WriteLine ("FinishHandle: {0}", j.Handle);

return j;

}

TFOperation ScalarConst (TFTensor v, TFGraph graph, TFStatus status, string name = null)

{

var desc = new TFOperationDesc (graph, "Const", name == null ? "scalar" : name);

desc.SetAttr ("value", v, status);

if (status.StatusCode != TFCode.Ok)

return null;

desc.SetAttrType ("dtype", TFDataType.Int32);

return desc.FinishOperation ();

}

TFOperation Add (TFOperation left, TFOperation right, TFGraph graph, TFStatus status)

{

var op = new TFOperationDesc (graph, "AddN", "add");

op.AddInputs (new TFOutput (left, 0), new TFOutput (right, 0));

return op.FinishOperation ();

}

public void TestImportGraphDef ()

{

var status = new TFStatus ();

TFBuffer graphDef;

// Create graph with two nodes, "x" and "3"

using (var graph = new TFGraph ()) {

Assert (status);

Placeholder (graph, status);

Assert (graph ["feed"] != null);

ScalarConst (3, graph, status);

Assert (graph ["scalar"] != null);

// Export to GraphDef

graphDef = new TFBuffer ();

graph.ToGraphDef (graphDef, status);

Assert (status);

};

// Import it again, with a prefix, in a fresh graph

using (var graph = new TFGraph ()) {

using (var options = new TFImportGraphDefOptions ()) {

options.SetPrefix ("imported");

graph.Import (graphDef, options, status);

Assert (status);

}

graphDef.Dispose ();

var scalar = graph ["imported/scalar"];

var feed = graph ["imported/feed"];

Assert (scalar != null);

Assert (feed != null);

// Can add nodes to the imported graph without trouble

Add (feed, scalar, graph, status);

Assert (status);

}

}

public void TestSession ()

{

var status = new TFStatus ();

using (var graph = new TFGraph ()) {

var feed = Placeholder (graph, status);

var two = ScalarConst (2, graph, status);

var add = Add (feed, two, graph, status);

Assert (status);

// Create a session for this graph

using (var session = new TFSession (graph, status)) {

Assert (status);

// Run the graph

var inputs = new TFOutput [] {

new TFOutput (feed, 0)

};

var input_values = new TFTensor [] {

3

};

var add_output = new TFOutput (add, 0);

var outputs = new TFOutput [] {

add_output

};

var results = session.Run (runOptions: null,

inputs: inputs,

inputValues: input_values,

outputs: outputs,

targetOpers: null,

runMetadata: null,

status: status);

Assert (status);

var res = results [0];

Assert (res.TensorType == TFDataType.Int32);

Assert (res.NumDims == 0); // Scalar

Assert (res.TensorByteSize == (UIntPtr)4);

Assert (Marshal.ReadInt32 (res.Data) == 3 + 2);

// Use runner API

var runner = session.GetRunner ();

runner.AddInput (new TFOutput (feed, 0), 3);

runner.Fetch (add_output);

results = runner.Run (status: status);

res = results [0];

Assert (res.TensorType == TFDataType.Int32);

Assert (res.NumDims == 0); // Scalar

Assert (res.TensorByteSize == (UIntPtr)4);

Assert (Marshal.ReadInt32 (res.Data) == 3 + 2);

}

}

}

public void TestOperationOutputListSize ()

{

using (var graph = new TFGraph ()) {

var c1 = graph.Const (1L, "c1");

var cl = graph.Const (new int [] { 1, 2 }, "cl");

var c2 = graph.Const (new long [,] { { 1, 2 }, { 3, 4 } }, "c2");

var outputs = graph.ShapeN (new TFOutput [] { c1, c2 });

var op = outputs [0].Operation;

Assert (op.OutputListLength ("output") == 2);

Assert (op.NumOutputs == 2);

}

}

public void TestOutputShape ()

{

using (var graph = new TFGraph ()) {

var c1 = graph.Const (0L, "c1");

var s1 = graph.GetShape (c1);

var c2 = graph.Const (new long [] { 1, 2, 3 }, "c2");

var s2 = graph.GetShape (c2);

var c3 = graph.Const (new long [,] { { 1, 2, 3 }, { 4, 5, 6 } }, "c3");

var s3 = graph.GetShape (c3);

}

}

class WhileTester : IDisposable

{

public TFStatus status;

public TFGraph graph;

public TFSession session;

public TFSession.Runner runner;

public TFOutput [] inputs, outputs;

public WhileTester ()

{

status = new TFStatus ();

graph = new TFGraph ();

}

public void Init (int ninputs, TFGraph.WhileConstructor constructor)

{

inputs = new TFOutput [ninputs];

for (int i = 0; i < ninputs; ++i)

inputs [i] = graph.Placeholder (TFDataType.Int32, operName: "p" + i);

Assert (status);

outputs = graph.While (inputs, constructor, status);

Assert (status);

}

public TFTensor [] Run (params int [] inputValues)

{

Assert (inputValues.Length == inputs.Length);

session = new TFSession (graph);

runner = session.GetRunner ();

for (int i = 0; i < inputs.Length; i++)

runner.AddInput (inputs [i], (TFTensor)inputValues [i]);

runner.Fetch (outputs);

return runner.Run ();

}

public void Dispose ()

{

if (session != null)

session.Dispose ();

if (graph != null)

graph.Dispose ();

}

}

public void WhileTest ()

{

using (var j = new WhileTester ()) {

// Create loop: while (input1 < input2) input1 += input2 + 1

j.Init (2, (TFGraph conditionGraph, TFOutput [] condInputs, out TFOutput condOutput, TFGraph bodyGraph, TFOutput [] bodyInputs, TFOutput [] bodyOutputs, out string name) => {

Assert (bodyGraph.Handle != IntPtr.Zero);

Assert (conditionGraph.Handle != IntPtr.Zero);

var status = new TFStatus ();

var lessThan = conditionGraph.Less (condInputs [0], condInputs [1]);

Assert (status);

condOutput = new TFOutput (lessThan.Operation, 0);

var add1 = bodyGraph.Add (bodyInputs [0], bodyInputs [1]);

var one = bodyGraph.Const (1);

var add2 = bodyGraph.Add (add1, one);

bodyOutputs [0] = new TFOutput (add2, 0);

bodyOutputs [1] = bodyInputs [1];

name = "Simple1";

});

var res = j.Run (-9, 2);

Assert (3 == (int)res [0].GetValue ());

Assert (2 == (int)res [1].GetValue ());

};

}

// For this to work, we need to surface REGISTER_OP from C++ to C

class AttributeTest : IDisposable

{

static int counter;

public TFStatus Status;

TFGraph graph;

//TFOperationDesc desc;

public AttributeTest ()

{

Status = new TFStatus ();

graph = new TFGraph ();

}

public TFOperationDesc Init (string op)

{

string opname = "AttributeTest";

if (op.StartsWith ("list(")) {

op = op.Substring (5, op.Length - 6);

opname += "List";

}

opname += op;

return new TFOperationDesc (graph, opname, "name" + (counter++));

}

public void Dispose ()

{

graph.Dispose ();

Status.Dispose ();

}

}

void ExpectMeta (TFOperation op, string name, int expectedListSize, TFAttributeType expectedType, int expectedTotalSize)

{

var meta = op.GetAttributeMetadata (name);

Assert (meta.IsList == (expectedListSize >= 0 ? true : false));

Assert (expectedListSize == meta.ListSize);

Assert (expectedTotalSize == meta.TotalSize);

Assert (expectedType == meta.Type);

}

public void AttributesTest ()

{

using (var x = new AttributeTest ()) {

var shape1 = new TFShape (new long [] { 1, 3 });

var shape2 = new TFShape (2, 4, 6);

var desc = x.Init ("list(shape)");

desc.SetAttrShape ("v", new TFShape [] { shape1, shape2 });

var op = desc.FinishOperation ();

ExpectMeta (op, "v", 2, TFAttributeType.Shape, 5);

}

}

public void AddControlInput ()

{

Console.WriteLine ("Testing AddControlInput for assertions");

var status = new TFStatus ();

using (var g = new TFGraph ()) {

var s = new TFSession (g, status);

TFTensor yes = true;

TFTensor no = false;

var placeholder = g.Placeholder (TFDataType.Bool, operName: "boolean");

var check = new TFOperationDesc (g, "Assert", "assert")

.AddInput (placeholder)

.AddInputs (placeholder)

.FinishOperation ();

var noop = new TFOperationDesc (g, "NoOp", "noop")

.AddControlInput (check)

.FinishOperation ();

var runner = s.GetRunner ();

runner.AddInput (placeholder, yes);

runner.AddTarget (noop);

// No problems when the Assert check succeeds

runner.Run ();

// Exception thrown by the execution of the Assert node

try {

runner = s.GetRunner ();

runner.AddInput (placeholder, no);

runner.AddTarget (noop);

runner.Run ();

throw new Exception ("This should have thrown an exception");

} catch (Exception) {

Console.WriteLine ("Success, got the expected exception when using tensorflow control inputs to assert");

}

}

}

public void TestParametersWithIndexes ()

{

Console.WriteLine ("Testing Parameters with indexes");

var status = new TFStatus ();

using (var g = new TFGraph ()) {

var s = new TFSession (g, status);

var split = new TFOperationDesc (g,"Split", "Split")

.AddInput (ScalarConst (0, g, status) [0])

.AddInput (ScalarConst (new TFTensor (new int [] { 1, 2, 3, 4 }), g, status, "array") [0])

.SetAttr ("num_split", 2)

.FinishOperation ();

var add = new TFOperationDesc (g, "Add", "Add")

.AddInput (split [0]).AddInput (split [1]).FinishOperation () [0];

// fetch using colon separated names

var fetched = s.GetRunner ().Fetch ("Split:1").Run () [0];

var vals = fetched.GetValue () as int [];

if (vals [0] != 3 || vals [1] != 4)

throw new Exception ("Expected the values 3 and 4");

// Add inputs using colon separated names.

var t = new TFTensor (new int [] { 4, 3, 2, 1 });

var ret = (s.GetRunner ().AddInput ("Split:0", t).AddInput ("Split:1", t).Fetch ("Add").Run ()).GetValue (0) as TFTensor;

var val = ret.GetValue () as int [];

if (val [0] != 8 || val [1] != 6 || val [2] != 4 || val [3] != 2)

throw new Exception ("Expected 8, 6, 4, 2");

}

Console.WriteLine ("success");

}

}

}