alanmacd commented on code in PR #12063:
URL: https://github.com/apache/tvm/pull/12063#discussion_r923797786
##########
tests/python/unittest/test_node_reflection.py:
##########
@@ -70,35 +74,40 @@ def test_make_smap():
def test_make_node():
+ """Test make node"""
+ # pylint: disable=invalid-name
x = tvm.ir.make_node("IntImm", dtype="int32", value=10, span=None)
assert isinstance(x, tvm.tir.IntImm)
assert x.value == 10
- A = te.placeholder((10,), name="A")
- AA = tvm.ir.make_node(
- "Tensor", shape=A.shape, dtype=A.dtype, op=A.op,
value_index=A.value_index
+ a = te.placeholder((10,), name="a")
+ aa = tvm.ir.make_node(
+ "Tensor", shape=a.shape, dtype=a.dtype, op=a.op,
value_index=a.value_index
)
- assert AA.op == A.op
- assert AA.value_index == A.value_index
+ assert aa.op == a.op
+ assert aa.value_index == a.value_index
- y = tvm.ir.make_node("IntImm", dtype=tvm.runtime.String("int32"),
value=10, span=None)
+ tvm.ir.make_node("IntImm", dtype=tvm.runtime.String("int32"), value=10,
span=None)
def test_make_sum():
- A = te.placeholder((2, 10), name="A")
+ # pylint: disable=invalid-name
+ a = te.placeholder((2, 10), name="a")
k = te.reduce_axis((0, 10), "k")
- B = te.compute((2,), lambda i: te.sum(A[i, k], axis=k), name="B")
- json_str = tvm.ir.save_json(B)
- BB = tvm.ir.load_json(json_str)
- assert B.op.body[0].combiner is not None
- assert BB.op.body[0].combiner is not None
+ b = te.compute((2,), lambda i: te.sum(a[i, k], axis=k), name="b")
+ json_str = tvm.ir.save_json(b)
+ bb = tvm.ir.load_json(json_str)
+ assert b.op.body[0].combiner is not None
+ assert bb.op.body[0].combiner is not None
def test_env_func():
+ """Test environment function"""
+
@tvm.register_func("test.env_func")
- def test(x):
+ def test(x): # pylint: disable=unused-variable
Review Comment:
test() is seen as "unused"
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