|
- using Microsoft.VisualStudio.TestTools.UnitTesting;
- using Tensorflow.NumPy;
-
- namespace TensorFlowNET.UnitTest.NumPy;
-
- /// <summary>
- /// https://numpy.org/doc/stable/reference/generated/numpy.save.html
- /// </summary>
- [TestClass]
- public class PersistenceTest : EagerModeTestBase
- {
- [TestMethod]
- public void SaveNpy()
- {
- var x = np.arange(10f).reshape((2, 5));
- np.save("arange.npy", x);
-
- var x2 = np.load("arange.npy");
- Assert.AreEqual(x.shape, x2.shape);
- }
-
- [TestMethod]
- public void SaveNpz()
- {
- var x = np.arange(10f).reshape((2, 5));
- var y = np.arange(10f).reshape((5, 2));
-
- np.savez("arange.npz", x, y);
- var z = np.loadz("arange.npz");
-
- np.savez("arange_named.npz", new { x, y });
- z = np.loadz("arange_named.npz");
- Assert.AreEqual(z["x"].shape, x.shape);
- Assert.AreEqual(z["y"].shape, y.shape);
-
- np.savez_compressed("arange_compressed.npz", x, y);
- np.savez_compressed("arange_compressed_named.npz", new { x, y });
- z = np.loadz("arange_compressed_named.npz");
- Assert.AreEqual(z["x"].shape, x.shape);
- Assert.AreEqual(z["y"].shape, y.shape);
- }
- }
|