chore: cache deserialized_module and script_module
#4196
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Signed-off-by: Jinzhe Zeng <[email protected]>
📝 Walkthrough📝 WalkthroughWalkthroughThe changes involve modifications to the Changes
Sequence Diagram(s)sequenceDiagram
participant DPTestCase
participant PTTestCase
participant Module
DPTestCase->>Module: Access class-level module
Module-->>DPTestCase: Return module data
DPTestCase->>DPTestCase: Deserialize module
DPTestCase-->>DPTestCase: Return deserialized module
PTTestCase->>Module: Access class-level module
Module-->>PTTestCase: Return module data
PTTestCase->>Module: Script module with torch.jit.script
PTTestCase-->>PTTestCase: Return script module
PTTestCase->>PTTestCase: Deserialize module
PTTestCase-->>PTTestCase: Return deserialized module
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
source/tests/universal/dpmodel/backend.py (1)
37-40: LGTM: Caching and class method conversion fordeserialized_module.The changes to
deserialized_moduleare well-implemented:
- Converting to a class method is appropriate as it doesn't rely on instance-specific state.
- The
@cachedecorator will improve performance by memoizing the result.- The use of
clsinstead ofselfis correct for a class method.These changes align well with the PR objective of caching
deserialized_module.Consider adding a docstring to explain the purpose of this method and the effect of caching. For example:
@classmethod @cache def deserialized_module(cls): """ Returns a deserialized version of the module. This method is cached, so subsequent calls will return the same object, improving performance for repeated access. """ return cls.module.deserialize(cls.module.serialize())source/tests/universal/pt/backend.py (1)
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36-41: Consider minor optimization inmodules_to_test.The
modules_to_testproperty remains functionally correct. However, for consistency with the new class method implementation ofdeserialized_module, consider changingself.deserialized_moduletoself.deserialized_module(). This would explicitly call the method and potentially leverage the caching mechanism more effectively.Here's a suggested change:
@property def modules_to_test(self): modules = [ self.module, - self.deserialized_module, + self.deserialized_module(), ] return modules
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📒 Files selected for processing (2)
- source/tests/universal/dpmodel/backend.py (2 hunks)
- source/tests/universal/pt/backend.py (2 hunks)
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🔇 Additional comments (6)
source/tests/universal/dpmodel/backend.py (2)
2-4: LGTM: Import ofcachedecorator.The import of
cachefromfunctoolsis correct and follows Python's import style guidelines. It's appropriately used later in the file.
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1-40: Summary: Effective implementation of caching fordeserialized_module.The changes in this file successfully implement caching for the
deserialized_modulemethod:
- The
cachedecorator is correctly imported fromfunctools.- The
deserialized_modulemethod is converted to a class method and decorated with@cache.These changes align well with the PR objective of caching
deserialized_module. They should improve performance by avoiding repeated serialization and deserialization operations.The modifications are localized and don't appear to affect other parts of the class or file negatively. Overall, this is a well-implemented performance optimization.
source/tests/universal/pt/backend.py (4)
2-4: LGTM: Import ofcachedecorator.The addition of the
cacheimport fromfunctoolsis appropriate for the subsequent changes in the file. It's correctly placed at the top of the file, following Python's import conventions.
25-29: Excellent optimization: Cachingscript_module.The conversion of
script_moduleto a class method with@cachedecoration is a great optimization. This change will memoize the result, preventing unnecessary recomputation of the scripted module. The use ofcls.moduleis correct for a class method, and the retention of thetorch.jit.optimized_execution(False)context ensures the original behavior is maintained.
31-34: Great optimization: Cachingdeserialized_module.The conversion of
deserialized_moduleto a class method with@cachedecoration is an excellent optimization. This change will memoize the result, preventing unnecessary serialization and deserialization operations. The use ofcls.moduleis correct for a class method, and the core logic of serialization and deserialization remains intact.
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1-95: Overall: Excellent optimizations with caching.The changes in this file are well-implemented and should significantly improve performance by caching the results of
script_moduleanddeserialized_module. The conversion to class methods and the use of the@cachedecorator are appropriate and maintain the original functionality while reducing unnecessary computations.A minor suggestion was made to update the
modules_to_testproperty for consistency, but this is not critical to the functionality.Great job on these optimizations!
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
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🧹 Outside diff range and nitpick comments (2)
source/tests/universal/dpmodel/backend.py (2)
37-40: LGTM: Well-implemented caching method for deserialization.The new
_get_deserialized_moduleclass method is well-implemented, using appropriate decorators and correctly accessing the class-levelmoduleattribute.Consider adding a brief docstring to explain the purpose of this method and its caching behavior, e.g.:
@classmethod @cache def _get_deserialized_module(cls): """Returns a deserialized version of the module, caching the result for efficiency.""" return cls.module.deserialize(cls.module.serialize())
44-45: LGTM: Efficient use of cached deserialization.The modification to the
deserialized_moduleproperty effectively utilizes the new cached_get_deserialized_modulemethod while maintaining backwards compatibility.For improved clarity, consider renaming the condition to explicitly state its purpose:
if hasattr(self.__class__, "module"): return self._get_deserialized_module() else: # Fallback for backwards compatibility return self.module.deserialize(self.module.serialize())This change makes the intent of the condition more explicit and adds a comment explaining the fallback behavior.
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📒 Files selected for processing (2)
- source/tests/universal/dpmodel/backend.py (2 hunks)
- source/tests/universal/pt/backend.py (2 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- source/tests/universal/pt/backend.py
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🔇 Additional comments (2)
source/tests/universal/dpmodel/backend.py (2)
2-4: LGTM: Appropriate import ofcachedecorator.The addition of the
cacheimport fromfunctoolsis correct and follows good practices for import statements.
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1-54: Overall: Well-implemented caching for deserialized module.The changes introduce efficient caching for the deserialized module, which can significantly improve performance for repeated access. The implementation is clean, maintains backwards compatibility, and follows good coding practices. The suggestions provided are minor and focus on improving documentation and clarity.
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## devel #4196 +/- ##
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- Coverage 83.44% 83.44% -0.01%
==========================================
Files 537 537
Lines 52140 52140
Branches 3043 3047 +4
==========================================
- Hits 43509 43508 -1
Misses 7683 7683
- Partials 948 949 +1 ☔ View full report in Codecov by Sentry. |
Signed-off-by: Jinzhe Zeng <[email protected]>
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🧹 Outside diff range and nitpick comments (7)
source/tests/universal/dpmodel/backend.py (2)
37-41: LGTM: Efficient caching of deserialized module.The new
_get_deserialized_modulemethod effectively caches the deserialized module, which can improve performance. The implementation looks correct.Consider adding a brief docstring to explain the purpose of this method and its caching behavior. For example:
@classmethod @cache def _get_deserialized_module(cls): """Returns a deserialized version of the module, caching the result.""" return cls.module.deserialize(cls.module.serialize())
56-61: LGTM: Proper cleanup in tearDownClass method.The new
tearDownClassmethod effectively cleans up resources and clears the cache, which is crucial for maintaining a clean state between tests.Consider adding a try-except block when clearing the cache to handle potential errors gracefully:
@classmethod def tearDownClass(cls): super().tearDownClass() if hasattr(cls, "module"): del cls.module try: cls._get_deserialized_module.cache_clear() except AttributeError: pass # Cache clearing is not critical if it failsThis change ensures that even if there's an issue with cache clearing (e.g., if the method doesn't exist), the teardown process will complete successfully.
source/tests/universal/pt/backend.py (5)
25-29: LGTM: Addition of_get_script_modulemethod.The new
_get_script_modulemethod is well-implemented:
- The use of
@cacheis appropriate for preventing unnecessary recomputation.- Using
cls.moduleis correct for a class method.- The
torch.jit.optimized_execution(False)ensures consistent behavior during testing.Consider adding a docstring to explain the purpose of this method and its caching behavior.
32-35: LGTM: Improvedscript_moduleproperty.The modifications to the
script_moduleproperty are well-implemented:
- It now leverages class-level caching when possible, which can improve performance.
- The fallback to the previous implementation ensures backward compatibility.
- The use of
self.__class__to check for the class attribute is a good practice.Consider adding a comment explaining the purpose of the
hasattrcheck and why it falls back to the previous implementation.
38-46: LGTM: Addition of_get_deserialized_moduleand improvements todeserialized_module.The new
_get_deserialized_modulemethod and the changes to thedeserialized_moduleproperty are well-implemented:
- The use of
@cachein_get_deserialized_moduleis appropriate for preventing unnecessary recomputation.- The modifications to
deserialized_moduleproperty leverage class-level caching when possible, improving performance.- These changes are consistent with the modifications made to
script_module.Consider adding docstrings to both
_get_deserialized_moduleanddeserialized_moduleto explain their purpose and caching behavior.
57-63: LGTM: Addition oftearDownClassmethod.The new
tearDownClassmethod is well-implemented:
- It correctly calls the superclass's
tearDownClassmethod.- Deleting the
moduleattribute and clearing the caches helps prevent test interdependence and ensures a clean state for each test run.- This implementation follows good practices for cleaning up after tests.
Consider adding a comment explaining why clearing the caches and deleting the
moduleattribute is important for maintaining test isolation.
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1-64: Overall assessment: Well-implemented caching and organization improvements.The changes to this file significantly enhance the
PTTestCaseclass:
- Introduction of caching mechanisms for
script_moduleanddeserialized_module.- Improved organization with new private methods
_get_script_moduleand_get_deserialized_module.- Addition of a
tearDownClassmethod for proper cleanup.These modifications should lead to improved performance in tests, especially when running multiple tests that use the same module. The code is well-structured and maintains backward compatibility.
Consider the following to further improve the code:
- Add comprehensive docstrings to new methods and properties.
- If not already present, consider adding unit tests specifically for these caching mechanisms to ensure they behave as expected under various scenarios.
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📒 Files selected for processing (2)
- source/tests/universal/dpmodel/backend.py (3 hunks)
- source/tests/universal/pt/backend.py (3 hunks)
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🔇 Additional comments (3)
source/tests/universal/dpmodel/backend.py (2)
2-4: LGTM: Appropriate import for caching mechanism.The addition of
cachefromfunctoolsis necessary and appropriate for the new caching mechanism implemented in the class.
44-45: LGTM: Improved efficiency in deserialized_module property.The changes to the
deserialized_moduleproperty effectively utilize the new caching mechanism while maintaining backwards compatibility. This should improve performance in most cases.source/tests/universal/pt/backend.py (1)
2-4: LGTM: Import ofcachedecorator.The addition of the
cacheimport fromfunctoolsis appropriate for the subsequent use of caching in the class methods. This can potentially improve performance by memoizing results of expensive computations.
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🧹 Outside diff range and nitpick comments (4)
source/tests/universal/pt/backend.py (4)
25-29: LGTM: Efficient implementation of_get_script_module.The use of
@lru_cache(maxsize=1)and@classmethoddecorators is an excellent approach to optimize the scripting process. This ensures that the expensive operation of scripting the module is performed only once and the result is cached, improving performance in subsequent calls.Consider adding a brief comment explaining why
torch.jit.optimized_execution(False)is used, as it might not be immediately clear to other developers why optimization is turned off.
31-36: LGTM: Efficient use of cached_get_script_module.The modification to use the cached
_get_script_modulemethod when themoduleis a class attribute is a good optimization. The fallback to the original implementation ensures backwards compatibility.Consider adding a brief comment explaining the purpose of the
hasattrcheck, as it might not be immediately clear why this condition is necessary.
38-46: LGTM: Efficient caching of deserialized module.The implementation of
_get_deserialized_moduleand the modifications todeserialized_moduleproperty mirror the changes made toscript_module, which is a good consistent approach. The use of@lru_cache(maxsize=1)ensures that the potentially expensive deserialization operation is performed only once.For consistency with the
script_moduleproperty, consider adding a comment explaining the purpose of thehasattrcheck in thedeserialized_moduleproperty.
57-63: LGTM: Proper cleanup intearDownClass.The implementation of
tearDownClassis thorough, ensuring that caches are cleared and themoduleattribute is removed. This is crucial for maintaining test isolation and preventing cached data from affecting subsequent tests.For added robustness, consider wrapping the cache clearing operations in try-except blocks to handle potential
AttributeErrors if the methods don't exist for some reason. This would prevent any issues if the class structure changes in the future.
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📒 Files selected for processing (2)
- source/tests/universal/dpmodel/backend.py (3 hunks)
- source/tests/universal/pt/backend.py (3 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- source/tests/universal/dpmodel/backend.py
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🔇 Additional comments (2)
source/tests/universal/pt/backend.py (2)
2-4: LGTM: Import oflru_cacheis appropriate.The addition of
lru_cachefromfunctoolsis necessary for the caching mechanism implemented in the subsequent code changes. This import supports the performance improvements made in the class.
Line range hint
1-64: Overall: Excellent performance optimizations with proper cleanup.The changes implemented in this file are well-thought-out and should significantly improve performance:
- The caching mechanism for
script_moduleanddeserialized_moduleusing@lru_cachewill avoid repeated expensive operations.- The new
tearDownClassmethod ensures proper cleanup and test isolation.- The changes are consistent across different methods, which is good for maintainability.
These optimizations should not introduce any breaking changes to existing functionality. The code is now more efficient while maintaining its original behavior.
Great job on these improvements!
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