public bool Compile <TVectorKernel>(int vectorLength, string code, out IRunnable <TVectorKernel> result)
where TVectorKernel : unmanaged, IEquatable <TVectorKernel>, IComparable <TVectorKernel>, IConvertible
{
ITermShape input = new DeviceTensor(OpenFirstDevice(), CreateShape <TVectorKernel>(vectorLength), "I");
ITermShape output = new DeviceTensor(OpenFirstDevice(), CreateShape <TVectorKernel>(vectorLength), "O");
return(Compile(input, output, code, out result));
}
public RunStatus Run(IVariable <T> output, ref IVariable <T> gradient, params IVariable <T>[] input)
{
RunStatus s = Run(output, input);
if (s != RunStatus.Success)
{
gradient = null;
return(s);
}
var gc = new Gradient(Context, OutputValue);
var c = new Composer(_context);
GradientTensors = new Dictionary <DeviceTensor, DeviceTensor>();
for (int i = 0; i < InputTensors.Count; i++)
{
var t = InputTensors[i];
var grad = gc.ComputeWrt(t);
if (!grad.IsAllocated)
{
continue;
}
c.AddInputPlaceholder(InputTensors[i].Name, InputTensors[i].DimensionCount);
var gt = new DeviceTensor(t.Device, t.Shape, grad.Name);
c.AddOutputValue(gt);
c.AddUpdate(gt, grad);
GradientTensors.Add(t, gt);
}
var gf = c.BuildFunction();
var ginv = new Invoker <int>(_context, gf, InputTensors.ToArray(), GradientTensors.Values.ToArray());
var ginvc = ginv.Invoke();
if (!ginvc.IsAllocated)
{
gradient = null;
return(RunStatus.ErrorComputingGradient);
}
var gv = GradientTensors.First().Value.CreateView <T>(MemoryMapType.Retain);
if (!gv.CopyToAndFree(gradient.Span))
{
gv.Free();
gradient = null;
return(RunStatus.ErrorComputingGradient);
}
return(RunStatus.Success);
}
public bool Compile <TVectorKernel>(int vectorCount, int vectorLength, string code,
out IRunnable <TVectorKernel> result)
where TVectorKernel : unmanaged, IEquatable <TVectorKernel>, IComparable <TVectorKernel>, IConvertible
{
var inputs = new ITermShape[vectorCount];
for (int i = 0; i < inputs.Length; i++)
{
inputs[i] = new DeviceTensor(OpenFirstDevice(), CreateShape <TVectorKernel>(vectorLength),
"I" + i);
}
ITermShape output = new DeviceTensor(OpenFirstDevice(), CreateShape <TVectorKernel>(vectorLength), "O");
return(Compile(inputs, output, code, out result));
}
public DeviceTensorView(DeviceTensor variable, MemoryMapType mapType)
: base(variable.DeviceBuffer, mapType == MemoryMapType.Discard ? true : false)
{
_Tensor = variable;
}
public Invoker(Context ctx, Function f, DeviceTensor output, params DeviceTensor[] input)
: this(ctx, f, input, new DeviceTensor[] { output })
{
}
public Gradient CreateGradient(DeviceTensor variable)
{
return(new Gradient(_context, variable));
}
