wehub-resource-sync
427 lines
13 KiB
Python
427 lines
13 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import sys
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import types
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import unittest
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import numpy as np
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from test_case_base import (
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TestCaseBase,
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test_instruction_translator_cache_context,
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)
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import paddle
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from paddle.jit.sot.psdb import check_no_breakgraph
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from paddle.jit.sot.utils.exceptions import InnerError
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sot_test_dir = os.path.dirname(__file__)
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sys.path.insert(0, os.path.abspath(f'{sot_test_dir}/../dygraph_to_static'))
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from dygraph_to_static_utils import Dy2StTestBase, test_default_mode_only
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# ---------------------- test single inheritance case ----------------------
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class A:
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@check_no_breakgraph
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def add2(self, x):
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return x + 2
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@check_no_breakgraph
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def add3(self, x):
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return x + 3
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class B(A):
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@check_no_breakgraph
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def test_super_no_args_add2(self, x):
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y = super().add2(x)
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return y
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@check_no_breakgraph
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def test_super_with_args_add3(self, x):
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y = super(B, self).add3(x) # noqa: UP008
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return y
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@check_no_breakgraph
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def test_super_both_add5(self, x):
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return super().add2(x) + super(B, self).add3(x) # noqa: UP008
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@check_no_breakgraph
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def test_self_name_me(me, x):
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# Test case where the instance is referred to as 'me' instead of 'self'
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return super(B, me).add2(x) # noqa: UP008
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@check_no_breakgraph
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def test_self_name_this(this, x):
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# Test case where the instance is referred to as 'this' instead of 'self'
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return super(B, this).add2(x) # noqa: UP008
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class TestSingleInheritance(TestCaseBase):
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def test_super_no_args(self):
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self.assert_results(B().test_super_no_args_add2, paddle.to_tensor(33))
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def test_super_with_args(self):
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self.assert_results(B().test_super_with_args_add3, paddle.to_tensor(33))
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def test_super_both(self):
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self.assert_results(B().test_super_both_add5, paddle.to_tensor(33))
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def test_super_self_name(self):
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self.assert_results(B().test_self_name_me, paddle.to_tensor(33))
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self.assert_results(B().test_self_name_this, paddle.to_tensor(33))
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def test_guard_run(self): # test guard
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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self.assert_results(
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B().test_super_no_args_add2, paddle.to_tensor(1)
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)
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self.assert_results(
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B().test_super_no_args_add2, paddle.to_tensor(2)
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)
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self.assertEqual(ctx.translate_count, 1)
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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self.assert_results(
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B().test_super_no_args_add2, paddle.to_tensor(1)
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)
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self.assert_results(
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B().test_super_no_args_add2, paddle.to_tensor(2)
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)
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self.assertEqual(ctx.translate_count, 1)
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self.assert_results(
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B().test_super_with_args_add3, paddle.to_tensor(3)
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)
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self.assert_results(
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B().test_super_with_args_add3, paddle.to_tensor(4)
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)
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self.assertEqual(ctx.translate_count, 2)
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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self.assert_results(B().test_super_both_add5, paddle.to_tensor(5))
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self.assert_results(B().test_super_both_add5, paddle.to_tensor(6))
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self.assertEqual(ctx.translate_count, 1)
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# ---------------------- test multiple inheritance case ----------------------
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class X:
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@check_no_breakgraph
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def addx(self, x):
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return 1 + x
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class Y:
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@check_no_breakgraph
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def addx(self, x):
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return 2 + x
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class Z(X, Y):
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@check_no_breakgraph
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def addx(self, x):
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return super().addx(x) + 3 + x
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class P(Y):
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@check_no_breakgraph
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def addx(self, x):
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return super(P, self).addx(x) + 4 + x # noqa: UP008
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class Q(Z, P):
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@check_no_breakgraph
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def addx(self, x):
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return super(Q, self).addx(x) + 5 + x # noqa: UP008
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@check_no_breakgraph
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def addxP(self, x):
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return super(P, self).addx(x) + 5 + x
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@check_no_breakgraph
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def addxZ(self, x):
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return super(Z, self).addx(x) + 5 + x
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# Inheritance diagram
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# X Y
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# \ / \
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# \ / \
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# Z P
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# \ /
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# \ /
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# Q
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class TestMultipleInheritance(TestCaseBase):
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def test_with_args(self):
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x = paddle.to_tensor([1.0])
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self.assert_results(Q().addx, x)
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self.assert_results(Q().addxP, x)
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self.assert_results(Q().addxZ, x)
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def test_guard_run(self): # test guard
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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self.assert_results(Q().addx, paddle.to_tensor(1))
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self.assert_results(Q().addx, paddle.to_tensor(2))
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self.assert_results(Q().addx, paddle.to_tensor(3))
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self.assertEqual(ctx.translate_count, 1)
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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self.assert_results(Q().addxP, paddle.to_tensor(4))
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self.assert_results(Q().addxP, paddle.to_tensor(5))
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self.assert_results(Q().addxP, paddle.to_tensor(6))
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self.assertEqual(ctx.translate_count, 1)
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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self.assert_results(Q().addxZ, paddle.to_tensor(7))
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self.assert_results(Q().addxZ, paddle.to_tensor(8))
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self.assert_results(Q().addxZ, paddle.to_tensor(9))
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self.assertEqual(ctx.translate_count, 1)
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self.assert_results(Q().addxP, paddle.to_tensor(4))
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self.assert_results(Q().addxP, paddle.to_tensor(5))
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self.assert_results(Q().addxP, paddle.to_tensor(6))
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self.assertEqual(ctx.translate_count, 2)
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# ---------------------- test `super()` as input ----------------------
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class ClassSuperAsInput:
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@check_no_breakgraph
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def fn(self, x):
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return x + 1
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@check_no_breakgraph
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def super_as_input(spr):
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return spr.fn(2)
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class TestSuperAsInput1(TestCaseBase, ClassSuperAsInput):
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def test_super_as_input(self):
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self.assert_results(super_as_input, super())
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def test_guard_run(self): # test guard
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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self.assert_results(super_as_input, super())
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self.assert_results(super_as_input, super())
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self.assert_results(super_as_input, super())
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self.assertEqual(ctx.translate_count, 1)
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class ClassSuperAsInputA:
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@check_no_breakgraph
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def test_fn(self, x):
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return x + 1
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class ClassSuperAsInputB(ClassSuperAsInputA):
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@check_no_breakgraph
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def test_fn(self, x):
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return x + 4
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class ClassSuperAsInputC(ClassSuperAsInputB):
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@check_no_breakgraph
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def super_as_input(self, spr, x):
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return spr.test_fn(x)
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@check_no_breakgraph
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def test_super_as_input(self, x, cls):
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return self.super_as_input(super(cls, self), x)
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class TestSuperAsInput2(TestCaseBase):
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def test_super_as_input(self):
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x = paddle.to_tensor(3)
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self.assert_results(
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ClassSuperAsInputC().test_super_as_input, x, ClassSuperAsInputC
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)
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self.assert_results(
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ClassSuperAsInputC().test_super_as_input, x, ClassSuperAsInputB
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)
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def test_guard_run(self): # test guard
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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x = paddle.to_tensor(3)
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self.assert_results(
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ClassSuperAsInputC().test_super_as_input, x, ClassSuperAsInputC
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)
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self.assert_results(
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ClassSuperAsInputC().test_super_as_input, x, ClassSuperAsInputC
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)
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self.assertEqual(ctx.translate_count, 1)
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x = paddle.to_tensor(4)
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self.assert_results(
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ClassSuperAsInputC().test_super_as_input, x, ClassSuperAsInputB
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)
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self.assert_results(
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ClassSuperAsInputC().test_super_as_input, x, ClassSuperAsInputB
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)
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self.assertEqual(ctx.translate_count, 2)
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# ---------------------- test case which has no functions ----------------------
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class ClassWithAttributionA:
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a = 1
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class ClassWithAttributionB(ClassWithAttributionA):
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a = 111
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class ClassWithAttributionC(ClassWithAttributionB):
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@check_no_breakgraph
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def foo(self, x):
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return (
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super().a + x,
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super(ClassWithAttributionC, self).a + x, # noqa: UP008
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super(ClassWithAttributionB, self).a + x,
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)
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class TestSuperAttr(TestCaseBase):
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def test_attr_equal(self):
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x = paddle.to_tensor([4.0])
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self.assert_results(ClassWithAttributionC().foo, x)
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def test_guard_run(self): # test guard
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x = paddle.to_tensor([4.0])
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with test_instruction_translator_cache_context() as ctx:
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self.assertEqual(ctx.translate_count, 0)
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self.assert_results(ClassWithAttributionC().foo, x)
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self.assert_results(ClassWithAttributionC().foo, x)
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self.assert_results(ClassWithAttributionC().foo, x)
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self.assertEqual(ctx.translate_count, 1)
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# ---------------------- test case which has fake super ----------------------
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class Toy:
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@check_no_breakgraph
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def get(self, x):
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return x + 1
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class FakeSuperBase:
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@check_no_breakgraph
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def put(self, x):
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return x + 1
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class FakeSuperClass(FakeSuperBase):
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@check_no_breakgraph
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def fake_super_function(self, x):
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return super(1, 2).get(x)
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def super_function_as_input(self, fn, x):
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return fn().put(x)
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# We create a fake `super` and inject it to `__globals__` of the function
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new_globals = FakeSuperClass.fake_super_function.__globals__.copy()
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new_globals["super"] = lambda x, y: Toy()
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FakeSuperClass.fake_super_function = types.FunctionType(
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FakeSuperClass.fake_super_function.__code__,
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new_globals,
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name=FakeSuperClass.fake_super_function.__name__,
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argdefs=FakeSuperClass.fake_super_function.__defaults__,
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closure=FakeSuperClass.fake_super_function.__closure__,
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)
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class TestCustomSuper(TestCaseBase):
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def test_fake_super(self):
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self.assert_results(
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FakeSuperClass().fake_super_function, paddle.to_tensor(3.0)
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)
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def test_super_function_as_input(self):
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if sys.version_info >= (3, 13):
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self.assert_exceptions(
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RuntimeError,
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r"super\(\): __class__ cell not found",
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FakeSuperClass().super_function_as_input,
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super,
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paddle.to_tensor(3.0),
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)
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if sys.version_info < (3, 13):
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self.assert_exceptions(
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InnerError,
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"KeyError: '__class__'",
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FakeSuperClass().super_function_as_input,
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super,
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paddle.to_tensor(3.0),
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)
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# ------ test SuperVariable setattr + getattr ------
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class LrClassBase:
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def __init__(self, last_lr, last_epoch):
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self.last_lr = last_lr
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self.last_epoch = last_epoch
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self.step()
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def step(self):
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self.last_epoch += 1
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self.last_lr = self.get_lr()
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def get_lr(self):
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return self.last_lr + 0.0001
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def __call__(self) -> float:
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return self.last_lr
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class LrClassSub(LrClassBase):
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def __init__(self, **kwargs):
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super().__init__(
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kwargs.get("last_lr", 0.01), kwargs.get("last_epoch", 0)
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)
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class TestSuperSetattrGetattr(Dy2StTestBase):
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def setUp(self):
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def dyfunc(lr_decay):
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lr = lr_decay()
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return paddle.to_tensor(lr)
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lr_decay = LrClassSub(
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base_lr=0.1, verbose=True, last_lr=0.3, last_epoch=3
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)
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self.dygraph_func = lambda: dyfunc(lr_decay)
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def get_dygraph_output(self):
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res = self.dygraph_func()
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return res
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def get_static_output(self):
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static_res = paddle.jit.to_static(self.dygraph_func)()
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return static_res
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@test_default_mode_only
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def test_transformed_static_result(self):
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dygraph_res = self.get_dygraph_output()
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static_res = self.get_static_output()
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np.testing.assert_allclose(dygraph_res, static_res, rtol=1e-05)
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if __name__ == "__main__":
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unittest.main()
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