public static void Main(string[] args)
{
// create a tensor object
Shape shape = new Shape(new uint[] { 32, 32, 3 });
UInt8Tensor color = new UInt8Tensor(shape);
// fill it with some data.
for (uint row = 0; row < color.Shape[0]; ++row)
{
for (uint col = 0; col < color.Shape[1]; ++col)
{
color[row, col, 0] = (byte)(row << 3);
color[row, col, 1] = (byte)(col << 3);
color[row, col, 2] = 128;
}
}
// save it to disk as an NPY file
color.Save("color.npy");
// we can manually set the endianness to use
color.Save("color.npy", Endian.BIG);
// we can peek at the header of a file
HeaderInfo header = NumpyIO.NumpyIO.Peek("color.npy");
// we can load it using the path constructor
color = new UInt8Tensor("color.npy");
// let's create a second tensor as well
shape = new Shape(new uint[] { 32, 32 });
Float32Tensor gray = new Float32Tensor(shape);
for (uint row = 0; row < gray.Shape[0]; ++row)
{
for (uint col = 0; col < gray.Shape[1]; ++col)
{
gray[row, col] = 0.21f * color[row, col, 0] +
0.72f * color[row, col, 1] +
0.07f * color[row, col, 2];
}
}
// we can write them to an NPZ file
NPZOutputStream output = new NPZOutputStream("test.npz");
output.Write("color.npy", color);
output.Write("gray.npy", gray);
output.Close();
// and we can read them back out again
NPZInputStream input = new NPZInputStream("test.npz");
// we can check of an archive contains a file
if (input.Contains("color.npy"))
{
// and peek at its header
header = input.Peek("color.npy");
}
color = input.ReadUInt8("color.npy");
gray = input.ReadFloat32("gray.npy");
input.Close();
}
static void SaveInvalidPath()
{
TENSOR.Save(Path.Combine("does_not_exist", "bad.npy"));
}
