[GitHub] [tvm] vinx13 commented on a change in pull request #9224: [TIR] Add support for 0-dim buffer

[GitBox <gi...@apache.org>]

vinx13 commented on a change in pull request #9224:
URL: https://github.com/apache/tvm/pull/9224#discussion_r728546565



##########
File path: tests/python/unittest/test_tvmscript_ops.py
##########
@@ -101,5 +101,65 @@ def test_get_valid_counts_script_func():
     _check_get_valid_counts_with_numpy(f, (1, 2500, 6), 0.0, 0, 1)
 
 
+@T.prim_func
+def alloc_zero_dim_buffer(a: T.handle, b: T.handle) -> None:
+    A = T.match_buffer(a, [], dtype="float32")
+    B = T.match_buffer(b, [], dtype="float32")
+    # body
+    # tir.with block("root")
+    C = T.alloc_buffer([], dtype="float32")
+    A[()] = T.float32(2)
+    C[()] = A[()] + B[()]
+    B[()] = C[()]
+
+
+@T.prim_func
+def alloc_zero_dim_buffer_block(a: T.handle, b: T.handle) -> None:
+    A = T.match_buffer(a, (), "float32")
+    B = T.match_buffer(b, (), "float32")
+    with T.block([], "root"):
+        T.reads([])
+        T.writes([])
+        C = T.alloc_buffer((), "float32")
+        A[()] = T.float32(2)
+        C[()] = A[()] + B[()]
+        B[()] = C[()]
+
+
+def _check_alloc_zero_dim_buffer(f):
+    dtype = "float32"
+    ctx = tvm.cpu()
+
+    np_data = np.zeros(shape=()).astype(dtype)
+    np_out = np.zeros(shape=()).astype(dtype)
+    tvm_data = tvm.nd.array(np_data, ctx)
+    tvm_out = tvm.nd.array(np_out, ctx)
+
+    # np func exection
+    np_inter = np.array(1)
+    np_data[()] = 2.0
+    np_inter[()] = np_data[()] + np_out[()]
+    np_out[()] = np_inter[()]
+
+    # tvm func execution
+    f(tvm_data, tvm_out)
+    tvm.testing.assert_allclose(tvm_out.numpy(), np_out, rtol=1e-5)
+    print("test alloc_zero_dim_buffer end")

Review comment:
       nit: remove this print




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