areusch commented on code in PR #11303:
URL: https://github.com/apache/tvm/pull/11303#discussion_r871900913
##########
tests/python/unittest/test_node_reflection.py:
##########
@@ -160,14 +162,35 @@ def test_dict():
assert set(dir(x.__class__)) <= set(dir(x))
+def test_ndarray():
+ dev = tvm.cpu(0)
+ tvm_arr = tvm.nd.array(np.random.rand(4), device=dev)
+ tvm_arr2 = tvm.ir.load_json(tvm.ir.save_json(tvm_arr))
+ tvm.ir.assert_structural_equal(tvm_arr, tvm_arr2)
+ np.testing.assert_array_equal(tvm_arr.numpy(), tvm_arr2.numpy())
+
+
+def test_ndarray_dict():
+ dev = tvm.cpu(0)
+ m1 = {
+ "key1": tvm.nd.array(np.random.rand(4), device=dev),
+ "key2": tvm.nd.array(np.random.rand(4), device=dev),
+ }
+ m2 = tvm.ir.load_json(tvm.ir.save_json(m1))
+ tvm.ir.assert_structural_equal(m1, m2)
+
+
+def test_alloc_const():
+ dev = tvm.cpu(0)
+ dtype = "float32"
+ shape = (16,)
+ buf = tvm.tir.decl_buffer(shape, dtype)
+ data = tvm.nd.array(np.random.rand(*shape).astype(dtype), device=dev)
+ body = tvm.tir.Evaluate(0)
+ stmt = tvm.tir.AllocateConst(buf.data, dtype, shape, data, body)
+ stmt2 = tvm.ir.load_json(tvm.ir.save_json(stmt))
Review Comment:
thanks @vinx13! did we ever figure out which mechanism is used to serialize
the ndarray though?
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