wehub-resource-sync
85 lines
3.2 KiB
Python
85 lines
3.2 KiB
Python
# Copyright (c) 2023 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 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.utils.envs import allow_dynamic_shape_guard
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def foo(x: list[paddle.Tensor], y: list[paddle.Tensor]):
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return x[0] + y[0]
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def bar(x: list[paddle.Tensor], y: int, z: int):
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return x[y + z] + 1
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class TestTraceListArg(TestCaseBase):
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def test_foo(self):
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a = paddle.to_tensor(1)
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b = paddle.to_tensor(2)
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c = paddle.to_tensor([3, 4])
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with test_instruction_translator_cache_context() as cache:
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self.assert_results(foo, [a], [b])
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self.assertEqual(cache.translate_count, 1)
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self.assert_results(foo, [b], [a]) # Cache hit
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self.assertEqual(cache.translate_count, 1)
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self.assert_results(foo, [a], [c]) # Cache miss
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self.assertEqual(cache.translate_count, 2)
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@allow_dynamic_shape_guard(False)
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def test_bar_static_shape(self):
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a = [paddle.to_tensor(1), paddle.to_tensor(2), paddle.to_tensor(3)]
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b = [paddle.to_tensor([2, 3]), paddle.to_tensor(4), paddle.to_tensor(5)]
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with test_instruction_translator_cache_context() as cache:
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self.assert_results(bar, a, 1, 1)
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self.assertEqual(cache.translate_count, 1)
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self.assert_results(bar, a, 2, 0) # Cache miss
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self.assertEqual(cache.translate_count, 2)
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self.assert_results(bar, b, 1, 1) # Cache hit
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self.assertEqual(cache.translate_count, 2)
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@allow_dynamic_shape_guard(True)
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def test_bar_dynamic_shape(self):
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# TODO(zrr1999): mv to dynamic shape test
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a = [paddle.to_tensor(1), paddle.to_tensor(2), paddle.to_tensor(3)]
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b = [paddle.to_tensor([2, 3]), paddle.to_tensor(4), paddle.to_tensor(5)]
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with test_instruction_translator_cache_context() as cache:
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self.assert_results(bar, a, 1, 1)
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self.assertEqual(cache.translate_count, 1)
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self.assert_results(bar, a, 2, 0) # Cache miss
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self.assertEqual(cache.translate_count, 2)
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self.assert_results(bar, b, 2, 0) # Cache hit
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self.assertEqual(cache.translate_count, 3)
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self.assert_results(bar, b, 2, 0) # Cache hit
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self.assertEqual(cache.translate_count, 3)
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self.assert_results(bar, b, 1, 1) # Cache hit
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self.assertEqual(cache.translate_count, 3)
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self.assert_results(bar, b, 0, 2) # Cache miss
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self.assertEqual(cache.translate_count, 4)
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if __name__ == "__main__":
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unittest.main()
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