public void TensorCreation_Undressed()
{
//lock (Locks.ProcessWide)
// tf.Session(); //create one to increase next id to 1.
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
unsafe void Core(int tid)
{
using (var sess = tf.Session())
{
Tensor t = null;
for (int i = 0; i < 100; i++)
{
var v = (int *)Marshal.AllocHGlobal(sizeof(int));
c_api.DeallocatorArgs _deallocatorArgs = new c_api.DeallocatorArgs();
var handle = c_api.TF_NewTensor(typeof(int).as_dtype(), dims: new long[0], num_dims: 0,
data: (IntPtr)v, len: (UIntPtr)sizeof(int),
deallocator: (IntPtr data, IntPtr size, ref c_api.DeallocatorArgs args) => Marshal.FreeHGlobal(data),
ref _deallocatorArgs);
c_api.TF_DeleteTensor(handle);
}
}
}
}
public void GraphCreation()
{
ops.uid(); //increment id by one
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
tf.peak_default_graph().Should().BeNull();
var beforehand = tf.get_default_graph(); //this should create default automatically.
beforehand.graph_key.Should().NotContain("-0/", "Already created a graph in an other thread.");
tf.peak_default_graph().Should().NotBeNull();
using (var sess = tf.Session())
{
var default_graph = tf.peak_default_graph();
var sess_graph = sess.GetPrivate <Graph>("_graph");
sess_graph.Should().NotBeNull();
default_graph.Should().NotBeNull()
.And.BeEquivalentTo(sess_graph)
.And.BeEquivalentTo(beforehand);
Console.WriteLine($"{tid}-{default_graph.graph_key}");
//var result = sess.run(new object[] {g, a});
//var actualDeriv = result[0].GetData<float>()[0];
//var actual = result[1].GetData<float>()[0];
}
}
}
public void TF_GraphOperationByName_FromModel()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
Console.WriteLine();
for (int j = 0; j < 100; j++)
{
var sess = Session.LoadFromSavedModel(modelPath).as_default();
var inputs = new[] { "sp", "fuel" };
var inp = inputs.Select(name => sess.graph.OperationByName(name).output).ToArray();
var outp = sess.graph.OperationByName("softmax_tensor").output;
for (var i = 0; i < 8; i++)
{
var data = new float[96];
FeedItem[] feeds = new FeedItem[2];
for (int f = 0; f < 2; f++)
{
feeds[f] = new FeedItem(inp[f], new NDArray(data));
}
sess.run(outp, feeds);
}
}
}
}
public void Marshal_AllocHGlobal()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
for (int i = 0; i < 100; i++)
{
Marshal.FreeHGlobal(Marshal.AllocHGlobal(sizeof(int)));
}
}
}
public void SessionRun_Initialization_OutsideSession()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
tf.peak_default_graph().Should().BeNull();
//graph is created automatically to perform create these operations
var a1 = tf.constant(new[] { 2f }, shape: new[] { 1 });
var a2 = tf.constant(new[] { 3f }, shape: new[] { 1 });
var math = a1 + a2;
}
}
public void TensorCreation()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
using var sess = tf.Session();
for (int i = 0; i < 100; i++)
{
var t = new Tensor(1);
}
}
}
public void TensorCreation_Array()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
//tf.Session created an other graph
using var sess = tf.Session();
for (int i = 0; i < 100; i++)
{
var t = new Tensor(new int[] { 1, 2, 3 });
}
}
}
public void SessionRun_Initialization()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
using var sess = tf.Session();
Assert.IsNotNull(tf.get_default_graph());
//graph is created automatically to perform create these operations
var a1 = tf.constant(new[] { 2f }, shape: new[] { 1 });
var a2 = tf.constant(new[] { 3f }, shape: new[] { 1 });
var math = a1 + a2;
}
}
public void TF_GraphOperationByName()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
tf.peak_default_graph().Should().BeNull();
//graph is created automatically to perform create these operations
var a1 = tf.constant(new[] { 2f }, shape: new[] { 1 });
var a2 = tf.constant(new[] { 3f }, shape: new[] { 1 }, name: "ConstantK");
var math = a1 + a2;
for (int i = 0; i < 100; i++)
{
var op = tf.get_default_graph().OperationByName("ConstantK");
}
}
}
public void SessionRun_InsideSession()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
using (var sess = tf.Session())
{
tf.peak_default_graph().Should().NotBeNull();
//graph is created automatically to perform create these operations
var a1 = tf.constant(new[] { 2f }, shape: new[] { 1 });
var a2 = tf.constant(new[] { 3f }, shape: new[] { 1 });
var math = a1 + a2;
var result = sess.run(math);
result[0].GetAtIndex <float>(0).Should().Be(5);
}
}
}
public void TensorCreation()
{
//lock (Locks.ProcessWide)
// tf.Session(); //create one to increase next id to 1.
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
using (var sess = tf.Session())
{
Tensor t = null;
for (int i = 0; i < 100; i++)
{
t = new Tensor(1);
}
}
}
}
public void TensorCreation_Array()
{
//lock (Locks.ProcessWide)
// tf.Session(); //create one to increase next id to 1.
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
//tf.Session created an other graph
using (var sess = tf.Session())
{
for (int i = 0; i < 100; i++)
{
var t = new Tensor(new int[] { 1, 2, 3 });
}
}
}
}
public void SessionCreation_x2()
{
ops.uid(); //increment id by one
MultiThreadedUnitTestExecuter.Run(16, Core);
//the core method
void Core(int tid)
{
Assert.IsNull(tf.peak_default_graph());
//tf.Session created an other graph
using var sess = tf.Session();
var default_graph = tf.get_default_graph();
var sess_graph = sess.graph;
Assert.IsNotNull(default_graph);
Assert.IsNotNull(sess_graph);
Assert.AreEqual(default_graph, sess_graph);
}
}
public void SessionCreation_x2()
{
ops.uid(); //increment id by one
MultiThreadedUnitTestExecuter.Run(16, Core);
//the core method
void Core(int tid)
{
tf.peak_default_graph().Should().BeNull();
//tf.Session created an other graph
using (var sess = tf.Session())
{
var default_graph = tf.peak_default_graph();
var sess_graph = sess.GetPrivate <Graph>("_graph");
sess_graph.Should().NotBeNull();
default_graph.Should().NotBeNull()
.And.BeEquivalentTo(sess_graph);
}
}
}
public void SessionRun_InsideSession()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
tf.compat.v1.disable_eager_execution();
var graph = tf.Graph().as_default();
using var sess = tf.Session(graph);
Assert.IsNotNull(tf.get_default_graph());
//graph is created automatically to perform create these operations
var a1 = tf.constant(new[] { 2f }, shape: new[] { 1 });
var a2 = tf.constant(new[] { 3f }, shape: new[] { 1 });
var math = a1 + a2;
var result = sess.run(math);
Assert.AreEqual(result[0], 5f);
}
}
public void TF_GraphOperationByName()
{
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
Assert.IsNull(tf.peak_default_graph());
tf.compat.v1.disable_eager_execution();
var graph = tf.Graph().as_default();
//graph is created automatically to perform create these operations
var a1 = tf.constant(new[] { 2f }, shape: new[] { 1 });
var a2 = tf.constant(new[] { 3f }, shape: new[] { 1 }, name: "ConstantK");
var math = a1 + a2;
for (int i = 0; i < 100; i++)
{
var op = tf.get_default_graph().OperationByName("ConstantK");
}
}
}
public void GraphCreation()
{
ops.uid(); //increment id by one
MultiThreadedUnitTestExecuter.Run(8, Core);
//the core method
void Core(int tid)
{
Assert.IsNull(tf.peak_default_graph());
var beforehand = tf.get_default_graph(); //this should create default automatically.
beforehand.as_default();
Assert.IsNotNull(tf.peak_default_graph());
using var sess = tf.Session();
var default_graph = tf.peak_default_graph();
var sess_graph = sess.graph;
Assert.IsNotNull(default_graph);
Assert.IsNotNull(sess_graph);
Assert.AreEqual(default_graph, sess_graph);
}
}
