wehub-resource-sync
201 lines
6.5 KiB
Python
201 lines
6.5 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 shutil
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import tempfile
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import unittest
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import numpy as np
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import yaml
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import paddle
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from paddle.api_tracer import start_api_tracer, stop_api_tracer
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from paddle.api_tracer.api_tracer import (
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ConfigDump,
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_hooked_apis,
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_originals,
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expand_wildcard,
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)
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class TestDumpPlace(unittest.TestCase):
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"""Test the new Place branch in dump_item_str."""
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def test_cpu_place(self):
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dumper = ConfigDump()
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result = dumper.dump_item_str("test", paddle.CPUPlace())
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self.assertEqual(result, "Place(cpu)")
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class TestDumpTensor(unittest.TestCase):
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"""Test tensor metadata dumped by dump_item_str."""
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def test_cpu_tensor_dumps_place(self):
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dumper = ConfigDump()
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tensor = paddle.to_tensor([[1, 2]], place=paddle.CPUPlace())
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result = dumper.dump_item_str("test", tensor)
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self.assertEqual(
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result, 'Tensor(paddle.Size([1, 2]),"int64",place=Place(cpu))'
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)
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def test_non_contiguous_tensor_dumps_strides(self):
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dumper = ConfigDump()
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tensor = paddle.to_tensor(
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[[1, 2, 3], [4, 5, 6]], place=paddle.CPUPlace()
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).t()
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result = dumper.dump_item_str("test", tensor)
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expected = 'Tensor(paddle.Size([3, 2]),"int64",place=Place(cpu)'
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if not tensor.is_contiguous():
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expected += ",is_contiguous=False,strides=" + str(tensor.strides)
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expected += ")"
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self.assertEqual(result, expected)
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class TestExpandWildcard(unittest.TestCase):
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"""Test expand_wildcard for plain APIs and wildcard patterns."""
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def test_plain_api(self):
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result = expand_wildcard("paddle.abs")
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self.assertEqual(result, ["paddle.abs"])
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def test_wildcard(self):
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result = expand_wildcard("math.*")
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self.assertIn("math.sin", result)
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self.assertIn("math.cos", result)
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for api in result:
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name = api.split(".")[-1]
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self.assertFalse(name.startswith("_"))
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class TestStartStopApiTracer(unittest.TestCase):
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"""Test start_api_tracer / stop_api_tracer hook lifecycle."""
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def setUp(self):
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self.save_dir = tempfile.mkdtemp()
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self.api_yaml = os.path.join(self.save_dir, "apis.yaml")
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self.trace_log = os.path.join(self.save_dir, "trace.log")
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def tearDown(self):
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if _hooked_apis:
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stop_api_tracer()
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shutil.rmtree(self.save_dir)
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def _write_yaml(self, apis):
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with open(self.api_yaml, "w") as f:
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yaml.dump({"apis": apis}, f)
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def test_hook_and_unhook(self):
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self._write_yaml(["paddle.abs"])
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original_abs = paddle.abs
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start_api_tracer(self.api_yaml, self.trace_log)
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self.assertIn("paddle.abs", _hooked_apis)
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self.assertNotEqual(paddle.abs, original_abs)
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stop_api_tracer()
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self.assertIs(paddle.abs, original_abs)
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self.assertEqual(len(_hooked_apis), 0)
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self.assertEqual(len(_originals), 0)
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def test_trace_output_written(self):
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self._write_yaml(["paddle.abs"])
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start_api_tracer(self.api_yaml, self.trace_log)
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paddle.abs(paddle.to_tensor([-1.0, 2.0]))
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stop_api_tracer()
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with open(self.trace_log, "r") as f:
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content = f.read()
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self.assertIn("paddle.abs(", content)
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def test_wildcard_hook(self):
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self._write_yaml(["paddle._C_ops.*"])
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start_api_tracer(self.api_yaml, self.trace_log)
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self.assertGreater(len(_hooked_apis), 0)
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stop_api_tracer()
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self.assertEqual(len(_hooked_apis), 0)
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def test_empty_yaml(self):
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self._write_yaml([])
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start_api_tracer(self.api_yaml, self.trace_log)
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self.assertEqual(len(_hooked_apis), 0)
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stop_api_tracer()
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def test_recursion_guard(self):
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"""paddle.abs internally calls paddle._C_ops.abs.
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With recursion guard, only paddle.abs should appear in trace."""
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self._write_yaml(["paddle.abs", "paddle._C_ops.abs"])
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start_api_tracer(self.api_yaml, self.trace_log)
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result = paddle.abs(paddle.to_tensor([-3.0]))
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np.testing.assert_allclose(result.numpy(), [3.0])
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stop_api_tracer()
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with open(self.trace_log, "r") as f:
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lines = f.readlines()
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apis_traced = [l.split("(")[0] for l in lines]
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self.assertIn("paddle.abs", apis_traced)
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self.assertNotIn("paddle._C_ops.abs", apis_traced)
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class TestErrorHandling(unittest.TestCase):
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"""Test exception handling code paths in api_tracer."""
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def setUp(self):
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self.save_dir = tempfile.mkdtemp()
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self.api_yaml = os.path.join(self.save_dir, "apis.yaml")
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self.trace_log = os.path.join(self.save_dir, "trace.log")
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def tearDown(self):
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if _hooked_apis:
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stop_api_tracer()
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shutil.rmtree(self.save_dir)
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def test_nonexistent_api_skipped(self):
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"""start_api_tracer should skip APIs that cannot be resolved
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(eval/getattr failure) instead of raising."""
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with open(self.api_yaml, "w") as f:
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yaml.dump(
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{
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"apis": [
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"paddle.nonexistent_api_xyz",
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"no_such_module.func",
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]
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},
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f,
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)
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start_api_tracer(self.api_yaml, self.trace_log)
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self.assertNotIn("paddle.nonexistent_api_xyz", _hooked_apis)
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self.assertNotIn("no_such_module.func", _hooked_apis)
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stop_api_tracer()
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def test_expand_wildcard_invalid_module(self):
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"""expand_wildcard should return [] for a non-existent module."""
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result = expand_wildcard("nonexistent_module_xyz.*")
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self.assertEqual(result, [])
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def test_dump_item_str_unrecognized_type(self):
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"""dump_item_str should return '' for an unrecognized type."""
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dumper = ConfigDump()
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result = dumper.dump_item_str("test_api", object())
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self.assertEqual(result, "")
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if __name__ == '__main__':
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unittest.main()
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