public static DataSet BuildSet(IAllocator allocator, DigitImage[] images)
{
var inputs = new NDArray(allocator, DType.Float32, images.Length, MnistParser.ImageSize, MnistParser.ImageSize);
var outputs = new NDArray(allocator, DType.Float32, images.Length, MnistParser.LabelCount);
var cpuAllocator = new TensorSharp.Cpu.CpuAllocator();
for (int i = 0; i < images.Length; ++i)
{
var target = inputs.TVar().Select(0, i);
Variable.FromArray(images[i].pixels, cpuAllocator)
.AsType(DType.Float32)
.ToDevice(allocator)
.Evaluate(target);
target.Div(255)
.Evaluate(target);
}
Ops.FillOneHot(outputs, MnistParser.LabelCount, images.Select(x => (int)x.label).ToArray());
var targetValues = NDArray.FromArray(allocator, images.Select(x => (float)x.label).ToArray());
return(new DataSet()
{
inputs = inputs, targets = outputs, targetValues = targetValues
});
}
/// <summary>
/// Evaluates the specified write target.
/// </summary>
/// <param name="writeTarget">The write target.</param>
/// <returns>Tensor.</returns>
public override NDArray Evaluate(NDArray writeTarget)
{
if (writeTarget != null)
{
writeTarget.CopyFrom(array);
return(writeTarget);
}
else
{
return(NDArray.FromArray(allocator, array));
}
}
private void RunCopy(Array srcData, DType destType)
{
var allocator = new CpuAllocator();
var a = NDArray.FromArray(allocator, srcData);
var b = new NDArray(allocator, destType, a.Shape);
Ops.Copy(b, a);
for (int i = 0; i < srcData.Length; ++i)
{
Assert.AreEqual(Convert.ToSingle(srcData.GetValue(i)), b.GetElementAsFloat(i));
}
}