blob: 5808c41321e874e1d69c8ce0a62d06a763e15476 [file]
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import numpy as np
import tvm_ffi
import tvm_ffi.testing
_recursive_eq = tvm_ffi.get_global_func("ffi.RecursiveEq")
def test_structural_key_basic() -> None:
k1 = tvm_ffi.StructuralKey({"a": [1, 2], "b": [3, {"c": 4}]})
k2 = tvm_ffi.StructuralKey({"b": [3, {"c": 4}], "a": [1, 2]})
k3 = tvm_ffi.StructuralKey({"a": [1, 2], "b": [3, {"c": 5}]})
assert tvm_ffi.structural_hash(k1.key) == k1.__hash__()
assert tvm_ffi.structural_hash(k2.key) == k2.__hash__()
assert k1 == k2
assert k1 != k3
assert hash(k1) == hash(k2)
assert tvm_ffi.structural_equal(k1.key, k2.key)
assert not tvm_ffi.structural_equal(k1.key, k3.key)
def test_structural_helpers() -> None:
lhs = {"items": [1, 2, {"k": 3}], "meta": {"tag": "x"}}
rhs = {"meta": {"tag": "x"}, "items": [1, 2, {"k": 3}]}
other = {"items": [1, 2, {"k": 4}], "meta": {"tag": "x"}}
assert tvm_ffi.structural_equal(lhs, rhs)
assert not tvm_ffi.structural_equal(lhs, other)
assert tvm_ffi.structural_hash(lhs) == tvm_ffi.structural_hash(rhs)
assert tvm_ffi.structural_hash(lhs) != tvm_ffi.structural_hash(other)
assert tvm_ffi.get_first_structural_mismatch(lhs, rhs) is None
assert tvm_ffi.get_first_structural_mismatch(lhs, other) is not None
def test_structural_key_in_map() -> None:
k1 = tvm_ffi.StructuralKey({"x": [1, 2], "y": [3]})
k2 = tvm_ffi.StructuralKey({"y": [3], "x": [1, 2]})
k3 = tvm_ffi.StructuralKey({"x": [1, 2], "y": [5]})
m = tvm_ffi.Map({k1: 1, k2: 2, k3: 3})
assert len(m) == 2
assert m[k1] == 2
assert m[k2] == 2
assert m[k3] == 3
def test_structural_equal_dict() -> None:
d1 = tvm_ffi.Dict({"a": 1, "b": 2, "c": 3})
d2 = tvm_ffi.Dict({"c": 3, "b": 2, "a": 1})
d3 = tvm_ffi.Dict({"a": 1, "b": 2, "c": 4})
assert tvm_ffi.structural_equal(d1, d2)
assert tvm_ffi.structural_hash(d1) == tvm_ffi.structural_hash(d2)
assert not tvm_ffi.structural_equal(d1, d3)
assert tvm_ffi.structural_hash(d1) != tvm_ffi.structural_hash(d3)
assert tvm_ffi.get_first_structural_mismatch(d1, d2) is None
assert tvm_ffi.get_first_structural_mismatch(d1, d3) is not None
def test_structural_dict_vs_map_different_type() -> None:
m = tvm_ffi.Map({"a": 1, "b": 2})
d = tvm_ffi.Dict({"a": 1, "b": 2})
# Different type_index => not structurally equal
assert not tvm_ffi.structural_equal(m, d)
assert tvm_ffi.structural_hash(m) != tvm_ffi.structural_hash(d)
def test_structural_key_in_python_dict() -> None:
k1 = tvm_ffi.StructuralKey({"name": ["a", "b"], "ver": [1]})
k2 = tvm_ffi.StructuralKey({"ver": [1], "name": ["a", "b"]})
k3 = tvm_ffi.StructuralKey({"name": ["a", "c"], "ver": [1]})
data = {k1: "a", k3: "b"}
assert data[k2] == "a"
assert data[k3] == "b"
def test_structural_key_tensor_content_policy() -> None:
t1_np = np.array([1.0, 2.0, 3.0], dtype="float32")
t2_np = np.array([1.0, 2.0, 4.0], dtype="float32")
if not hasattr(t1_np, "__dlpack__"):
return
t1 = tvm_ffi.from_dlpack(t1_np)
t2 = tvm_ffi.from_dlpack(t2_np)
# Default policy compares tensor content.
assert not tvm_ffi.structural_equal(t1, t2)
# Optional policy can ignore tensor content.
assert tvm_ffi.structural_equal(t1, t2, skip_tensor_content=True)
# StructuralKey should follow default structural policy.
k1 = tvm_ffi.StructuralKey(t1)
k2 = tvm_ffi.StructuralKey(t2)
assert k1 != k2
data = {k1: "a", k2: "b"}
assert len(data) == 2
# ---------- RecursiveEq cycle tests ----------
def test_recursive_eq_self_referencing_cycle() -> None:
"""RecursiveEq should return True for structurally equivalent cycles."""
v_map = tvm_ffi.Map({})
obj = tvm_ffi.testing.create_object(
"testing.TestObjectDerived",
v_i64=1,
v_f64=0.0,
v_str="",
v_map=v_map,
v_array=tvm_ffi.Array([]),
)
obj.v_array = tvm_ffi.Array([obj]) # type: ignore[unresolved-attribute]
# Self-referencing object compared to itself — identity short-circuits.
assert _recursive_eq(obj, obj)
def test_recursive_eq_mutual_cycle() -> None:
"""RecursiveEq should return True for two distinct but structurally equivalent cyclic graphs."""
v_map = tvm_ffi.Map({})
def make_cyclic(v_i64: int) -> object:
o = tvm_ffi.testing.create_object(
"testing.TestObjectDerived",
v_i64=v_i64,
v_f64=0.0,
v_str="x",
v_map=v_map,
v_array=tvm_ffi.Array([]),
)
o.v_array = tvm_ffi.Array([o]) # type: ignore[unresolved-attribute]
return o
a = make_cyclic(42)
b = make_cyclic(42)
# Two distinct objects with identical structure and self-referencing cycles.
assert _recursive_eq(a, b)
# Different content should not be equal.
c = make_cyclic(99)
assert not _recursive_eq(a, c)