wehub-resource-sync
121 lines
3.9 KiB
Python
121 lines
3.9 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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from __future__ import annotations
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import unittest
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from typing import TYPE_CHECKING
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import paddle
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from paddle.jit.sot.opcode_translator.custom_code import CustomCode
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if TYPE_CHECKING:
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import types
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from collections.abc import Callable
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z = paddle.to_tensor(1)
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def guard_tree(
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callback: Callable[[types.FrameType], CustomCode],
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):
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def foo(x, y):
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return x, y, z
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def inner(x, y):
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paddle.framework.core.set_eval_frame(callback)
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try:
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return foo(x, y)
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finally:
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paddle.framework.core.set_eval_frame(None)
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return inner
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class TestGuardTree(unittest.TestCase):
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def test_guard_tree(self):
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def callback(frame, **kwargs):
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guard_int = paddle.framework.core.TypeMatchGuard(int)
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guard_tensor = paddle.framework.core.TypeMatchGuard(
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type(paddle.to_tensor(1))
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)
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guard_tensor_shape_eq = paddle.framework.core.ValueMatchGuard(
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paddle.to_tensor([1]).shape
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)
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guard_eq = paddle.framework.core.ValueMatchGuard(1)
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node_expr_x = paddle.framework.core.LocalVarExprNode("x")
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node_expr_y = paddle.framework.core.LocalVarExprNode("y")
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node_expr_z = paddle.framework.core.GlobalVarExprNode("z")
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node_expr_y_shape = paddle.framework.core.AttributeExprNode(
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node_expr_y, "shape"
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)
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node_expr_const_1 = paddle.framework.core.ConstantExprNode(1)
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node_guard_x_type_match_int = paddle.framework.core.GuardNode(
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guard_int, [node_expr_x]
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)
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node_guard_x_eq_1 = paddle.framework.core.GuardNode(
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guard_eq, [node_expr_x]
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)
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node_guard_y_type_match_int = paddle.framework.core.GuardNode(
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guard_int, [node_expr_y]
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)
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node_guard_y_type_match_tensor = paddle.framework.core.GuardNode(
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guard_tensor, [node_expr_y]
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)
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node_guard_y_tensor_shape = paddle.framework.core.GuardNode(
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guard_tensor_shape_eq, [node_expr_y_shape]
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)
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node_guard_z_type_match_tensor = paddle.framework.core.GuardNode(
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guard_tensor, [node_expr_z]
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)
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node_guard_1_eq_1 = paddle.framework.core.GuardNode(
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guard_eq, [node_expr_const_1]
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)
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guard_tree = paddle.framework.core.GuardTree(
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[
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[node_guard_x_eq_1],
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[node_guard_x_type_match_int, node_guard_y_type_match_int],
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[
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node_guard_x_type_match_int,
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node_guard_y_type_match_tensor,
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node_guard_y_tensor_shape,
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],
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[node_guard_z_type_match_tensor],
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[node_guard_1_eq_1],
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]
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)
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self.assertEqual(guard_tree.lookup(frame), target)
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return CustomCode(frame.f_code, False)
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global z
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foo = guard_tree(callback)
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target = 0
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foo(1, 1)
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target = 1
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foo(2, 2)
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target = 2
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foo(2, paddle.to_tensor([2]))
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target = 3
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foo(2, 1.0)
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z = 1
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target = 4
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foo(2, 1.0)
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if __name__ == "__main__":
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unittest.main()
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