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)
[email protected]_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[()]
+
+
[email protected]_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
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
