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fix: manage testing models in a standard way #4028

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merged 16 commits into from
Aug 5, 2024

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@njzjz njzjz commented Jul 27, 2024

Fix #2103. Migrate three models (se_e2_a, se_e2_r, and fparam_aparam) for the Python unit tests. Fix several bugs. Old files are kept until the C++ tests are also migrated.

Note that several models (for example, the dipole model due to #3672) cannot be serialized yet.

Summary by CodeRabbit

Summary by CodeRabbit

  • New Features

    • Introduced a structured framework for managing and testing models with YAML files.
    • Added comprehensive configurations for energy calculations and molecular simulations in YAML format.
    • Implemented new test cases for the DeepPot and DeepPotNeighborList classes.
  • Bug Fixes

    • Improved robustness in tensor reshaping, resolving potential dimension mismatches.
  • Tests

    • Enhanced unit tests with a case-based approach for better adaptability and maintainability.
    • Consolidated tests by relocating obsolete classes to streamline the test suite.
  • Chores

    • Updated deserialization functions for better type safety and input handling.

njzjz added 11 commits July 26, 2024 18:50
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
Signed-off-by: Jinzhe Zeng <[email protected]>
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coderabbitai bot commented Jul 27, 2024

Walkthrough

Walkthrough

The recent changes enhance the testing framework and input handling for the DeepMD library. Key updates include improved tensor reshaping for dimensional consistency, consolidation of model test configurations into YAML files, and restructuring of test classes for streamlined testing processes. These modifications aim to improve maintainability and robustness, aligning with best practices for deep learning workflows while facilitating easier management of model test cases.

Changes

Files Change Summary
deepmd/pt/infer/deep_eval.py, deepmd/tf/descriptor/se_a.py, deepmd/tf/descriptor/se_r.py Reshaped input tensors to use explicit dimensions based on nframes and replaced hardcoded values with dynamic variables.
source/tests/infer/case.py, source/tests/infer/fparam_aparam-testcase.yaml, source/tests/infer/deeppot-r-testcase.yaml, source/tests/infer/deeppot-r.yaml Introduced a structured framework for managing test cases with YAML files detailing essential parameters and results.
source/tests/infer/test_models.py, source/tests/tf/test_deeppot_a.py, source/tests/tf/test_deeppot_r.py Added unit tests for DeepPot classes, removed outdated testing classes, and organized tests for improved clarity.
deepmd/pt/utils/serialization.py, deepmd/tf/utils/serialization.py Modified deserialize_to_file functions to enhance type safety and adjust input shapes for fparam and aparam.

Sequence Diagram(s)

sequenceDiagram
    participant TestSuite
    participant CaseManager
    participant ModelLoader

    TestSuite->>CaseManager: Retrieve test cases
    CaseManager->>ModelLoader: Load model based on case
    ModelLoader-->>CaseManager: Return model instance
    CaseManager-->>TestSuite: Provide model for testing
    TestSuite->>TestSuite: Execute test scenarios
Loading

Assessment against linked issues

Objective Addressed Explanation
Manage testing models in a standard way (#[2103])
Improve model test organization and clarity (#[2103])
Ensure test cases adapt to model configurations dynamically (#[2103])

Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between dd56fe9 and 4aa24ae.

Files selected for processing (1)
  • deepmd/tf/descriptor/se_r.py (1 hunks)
Additional comments not posted (2)
deepmd/tf/descriptor/se_r.py (2)

515-515: LGTM! The dynamic shape handling improves flexibility.

The introduction of nf to dynamically capture the shape of self.nlist enhances the robustness of the reshaping operation.


519-521: Ensure the new variable nf is correctly used.

The new variable nf is used to replace the hardcoded value -1 in the tf.reshape function call. Verify that this change does not introduce any issues in scenarios where the size of self.nlist is not as expected.

Verification successful

The new variable nf is correctly used.

The variable nf is derived from tf.shape(self.nlist)[0] and is used appropriately in the tf.reshape function call to replace the hardcoded value -1.

  • deepmd/tf/descriptor/se_r.py:
    • The prod_force_virial function correctly utilizes nf for reshaping net_deriv.
Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the correctness of the new variable `nf` usage in the codebase.

# Test: Search for the function usage. Expect: Correct reshaping with the new variable.
rg --type python -A 5 $'prod_force_virial'

Length of output: 72


Script:

#!/bin/bash
# Description: Verify the correctness of the new variable `nf` usage in the codebase.

# Test: Search for the function usage. Expect: Correct reshaping with the new variable.
rg --type py -A 5 'prod_force_virial'

Length of output: 6010


Script:

#!/bin/bash
# Description: Extract the implementation of the `prod_force_virial` function in `deepmd/tf/descriptor/se_r.py` to verify the usage of `nf`.

# Extract the function implementation
ast-grep --lang python --pattern $'def prod_force_virial($_, $_):\n    $$$' deepmd/tf/descriptor/se_r.py

Length of output: 104


Script:

#!/bin/bash
# Description: Extract the implementation of the `prod_force_virial` function in `deepmd/tf/descriptor/se_r.py` to verify the usage of `nf`.

# Extract the function implementation with corrected pattern
rg --type py -A 20 'def prod_force_virial' deepmd/tf/descriptor/se_r.py

Length of output: 716


Script:

#!/bin/bash
# Description: Extract the complete implementation of the `prod_force_virial` function in `deepmd/tf/descriptor/se_r.py` to verify the usage of `nf`.

# Extract the function implementation with increased context lines
rg --type py -A 50 'def prod_force_virial' deepmd/tf/descriptor/se_r.py

Length of output: 1794


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@njzjz njzjz linked an issue Jul 27, 2024 that may be closed by this pull request
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Actionable comments posted: 3

Outside diff range, codebase verification and nitpick comments (22)
source/tests/infer/test_models.py (20)

1-1: Add a module docstring.

Consider adding a module-level docstring to provide an overview of the test module.


2-3: Remove unnecessary blank line.

Remove the unnecessary blank line after the import statement.

- import unittest
- 
+ import unittest

4-7: Remove unnecessary blank line.

Remove the unnecessary blank line after the import statement.

- import numpy as np
- 
+ import numpy as np

8-10: Combine import statements.

Combine the import statements from the same module into a single statement.

- from deepmd.infer.deep_eval import (
-     DeepEval,
- )
+ from deepmd.infer.deep_eval import DeepEval

11-13: Combine import statements.

Combine the import statements from the same module into a single statement.

- from deepmd.infer.deep_pot import (
-     DeepPot,
- )
+ from deepmd.infer.deep_pot import DeepPot

15-17: Combine import statements.

Combine the import statements from the same module into a single statement.

- from ..consistent.common import (
-     parameterized,
- )
+ from ..consistent.common import parameterized

18-20: Combine import statements.

Combine the import statements from the same module into a single statement.

- from .case import (
-     get_cases,
- )
+ from .case import get_cases

24-28: Add a docstring for the class.

Consider adding a docstring to provide an overview of the test class.


32-38: Add a docstring for the method.

Consider adding a docstring to provide an overview of the setup method.


39-42: Add a docstring for the method.

Consider adding a docstring to provide an overview of the teardown method.


43-51: Use self.assertIsInstance instead of assert.

For consistency and better error messages, use self.assertIsInstance instead of assert.

- assert isinstance(self.dp, DeepPot)
+ self.assertIsInstance(self.dp, DeepPot)

53-84: Add a docstring for the method.

Consider adding a docstring to provide an overview of the test method.


86-131: Add a docstring for the method.

Consider adding a docstring to provide an overview of the test method.


133-143: Add a docstring for the method.

Consider adding a docstring to provide an overview of the test method.

Tools
Ruff

137-137: Loop control variable ii not used within loop body

Rename unused ii to _ii

(B007)


145-184: Rename unused loop variable ii.

The loop variable ii is not used within the loop body. Rename it to _ii to indicate that it is unused.

- for ii, result in enumerate(self.case.results):
+ for _ii, result in enumerate(self.case.results):
Tools
Ruff

145-145: Loop control variable ii not used within loop body

Rename unused ii to _ii

(B007)


186-213: Add a docstring for the method.

Consider adding a docstring to provide an overview of the test method.


214-247: Add a docstring for the method.

Consider adding a docstring to provide an overview of the test method.


248-286: Add a docstring for the method.

Consider adding a docstring to provide an overview of the test method.


289-304: Add a docstring for the class.

Consider adding a docstring to provide an overview of the test class.


305-312: Add a docstring for the method.

Consider adding a docstring to provide an overview of the test method.

source/tests/infer/fparam_aparam.yaml (2)

1-7: Consider adding comments for clarity.

Adding comments to explain the purpose of min_nbor_dist and its properties can improve readability.


1998-2033: Consider adding comments for clarity.

Adding comments to explain the purpose of each property in the model_def_script section can improve readability.

source/tests/infer/fparam_aparam.yaml Show resolved Hide resolved
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codecov bot commented Jul 27, 2024

Codecov Report

Attention: Patch coverage is 83.33333% with 1 line in your changes missing coverage. Please review.

Project coverage is 82.95%. Comparing base (0e0fc1a) to head (4aa24ae).
Report is 141 commits behind head on devel.

Files with missing lines Patch % Lines
deepmd/pt/infer/deep_eval.py 50.00% 1 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##            devel    #4028      +/-   ##
==========================================
+ Coverage   82.93%   82.95%   +0.01%     
==========================================
  Files         522      522              
  Lines       51036    51039       +3     
  Branches     3028     3028              
==========================================
+ Hits        42325    42337      +12     
+ Misses       7762     7756       -6     
+ Partials      949      946       -3     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

njzjz added 2 commits July 27, 2024 04:39
Signed-off-by: Jinzhe Zeng <[email protected]>
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Actionable comments posted: 3

Outside diff range, codebase verification and nitpick comments (2)
source/tests/infer/test_models.py (2)

25-31: Class documentation is missing.

Consider adding a docstring to the TestDeepPot class to describe its purpose and usage.

"""
Test cases for the DeepPot class.
"""

321-336: Class documentation is missing.

Consider adding a docstring to the TestDeepPotNeighborList class to describe its purpose and usage.

"""
Test cases for the DeepPot class with neighbor list.
"""

source/tests/infer/case.py Show resolved Hide resolved
source/tests/infer/case.py Show resolved Hide resolved
source/tests/infer/case.py Show resolved Hide resolved
@njzjz njzjz changed the title chore: manage testing models in a standard way fix: manage testing models in a standard way Jul 27, 2024
@njzjz njzjz marked this pull request as ready for review July 27, 2024 10:57
@njzjz njzjz requested review from iProzd and wanghan-iapcm July 27, 2024 10:57
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Actionable comments posted: 1

source/tests/infer/test_models.py Show resolved Hide resolved
@wanghan-iapcm wanghan-iapcm added this pull request to the merge queue Aug 5, 2024
Merged via the queue into deepmodeling:devel with commit 8201ebc Aug 5, 2024
60 checks passed
mtaillefumier pushed a commit to mtaillefumier/deepmd-kit that referenced this pull request Sep 18, 2024
Fix deepmodeling#2103. Migrate three models (se_e2_a, se_e2_r, and fparam_aparam)
for the Python unit tests. Fix several bugs. Old files are kept until
the C++ tests are also migrated.

Note that several models (for example, the dipole model due to deepmodeling#3672)
cannot be serialized yet.

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit


## Summary by CodeRabbit

- **New Features**
- Introduced a structured framework for managing and testing models with
YAML files.
- Added comprehensive configurations for energy calculations and
molecular simulations in YAML format.
- Implemented new test cases for the `DeepPot` and `DeepPotNeighborList`
classes.

- **Bug Fixes**
- Improved robustness in tensor reshaping, resolving potential dimension
mismatches.

- **Tests**
- Enhanced unit tests with a case-based approach for better adaptability
and maintainability.
- Consolidated tests by relocating obsolete classes to streamline the
test suite.

- **Chores**
- Updated deserialization functions for better type safety and input
handling.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Jinzhe Zeng <[email protected]>
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[Feature Request] manage testing models in a standard way
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