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feat(jax/array-api): se_e2_a #4217
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Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
📝 Walkthrough📝 WalkthroughWalkthroughThe changes in this pull request involve modifications to the Changes
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🧰 Additional context used🔇 Additional comments (11)
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Actionable comments posted: 4
🧹 Outside diff range and nitpick comments (4)
source/tests/array_api_strict/descriptor/se_e2_a.py (2)
23-25
: Consider usingcopy.deepcopy
instead of serializing and deserializingIn the assignment of the
embeddings
attribute, you serializevalue
and then immediately deserialize it usingNetworkCollection.deserialize(value.serialize())
. If the intention is to create a deep copy ofvalue
, usingcopy.deepcopy(value)
would be more direct and efficient.Apply this change:
+ from copy import deepcopy elif name in {"embeddings"}: if value is not None: - value = NetworkCollection.deserialize(value.serialize()) + value = deepcopy(value)
26-28
: Clarify the purpose of theenv_mat
attribute assignmentWhen
name == "env_mat"
, the code executes apass
statement, indicating that no action is taken upon assignment. While there is a comment# env_mat doesn't store any value
, consider expanding this comment to provide more context on why no value is stored forenv_mat
, enhancing code readability and maintainability.deepmd/jax/descriptor/se_e2_a.py (2)
24-26
: Optimize 'embeddings' assignment to avoid unnecessary serializationWhen assigning to
embeddings
, the code serializes and then deserializesvalue
. This could introduce unnecessary overhead ifvalue
is already in the correct format. Consider checking if serialization is necessary or ifvalue
can be assigned directly to improve efficiency.
27-29
: Clarify handling of 'env_mat' attribute assignmentIn the
__setattr__
method, when the attributename
is"env_mat"
, the code does nothing (pass
). If the intent is to preventenv_mat
from being set or stored, consider explicitly documenting this behavior or using a more explicit mechanism to prevent unintended assignments.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (5)
- deepmd/dpmodel/descriptor/se_e2_a.py (5 hunks)
- deepmd/dpmodel/utils/nlist.py (1 hunks)
- deepmd/jax/descriptor/se_e2_a.py (1 hunks)
- source/tests/array_api_strict/descriptor/se_e2_a.py (1 hunks)
- source/tests/consistent/descriptor/test_se_e2_a.py (4 hunks)
🧰 Additional context used
🪛 Ruff
deepmd/dpmodel/utils/nlist.py
171-171: Local variable
snsel
is assigned to but never usedRemove assignment to unused variable
snsel
(F841)
🔇 Additional comments (17)
source/tests/array_api_strict/descriptor/se_e2_a.py (1)
19-32
: LGTM!The implementation of the
DescrptSeA
class and the overridden__setattr__
method appropriately handle custom attribute assignments. The usage ofto_array_api_strict_array
,NetworkCollection
, andPairExcludeMask
appears correct and in line with best practices.deepmd/jax/descriptor/se_e2_a.py (1)
21-33
: Override of__setattr__
is well-structured and maintains class integrityThe custom
__setattr__
method effectively handles specific attributes with necessary transformations while preserving the base class behavior throughsuper().__setattr__(name, value)
. This ensures controlled attribute assignment and maintains the integrity of the class.source/tests/consistent/descriptor/test_se_e2_a.py (4)
15-16
: Imports ofINSTALLED_ARRAY_API_STRICT
andINSTALLED_JAX
are correctly addedThe inclusion of
INSTALLED_ARRAY_API_STRICT
andINSTALLED_JAX
in the imports enhances the conditional handling of different backends.
139-140
: Class attributes for JAX and Array API Strict are appropriately assignedThe
jax_class
andarray_api_strict_class
attributes are correctly set to their respective descriptor classes.
226-234
: Ensureeval_array_api_strict_descriptor
method existsThe method
eval_array_api_strict
invokesself.eval_array_api_strict_descriptor
, but its definition isn't present in the provided code. Verify that this method is implemented to avoid runtime errors.Run the following script to confirm the existence of
eval_array_api_strict_descriptor
:#!/bin/bash # Description: Verify if 'eval_array_api_strict_descriptor' method is defined in the codebase. # Test: Search for the definition of 'eval_array_api_strict_descriptor'. Expect: At least one match indicating the method definition. rg --type python -A 2 -B 2 'def eval_array_api_strict_descriptor\('
217-225
: Ensureeval_jax_descriptor
method existsThe method
eval_jax
callsself.eval_jax_descriptor
, but it's not shown in the provided code whethereval_jax_descriptor
is defined. Verify that this method exists to preventAttributeError
.Run the following script to confirm the existence of
eval_jax_descriptor
:✅ Verification successful
eval_jax_descriptor
method is defined insource/tests/consistent/descriptor/common.py
.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify if 'eval_jax_descriptor' method is defined in the codebase. # Test: Search for the definition of 'eval_jax_descriptor'. Expect: At least one match indicating the method definition. rg --type python -A 2 -B 2 'def eval_jax_descriptor\('Length of output: 100
Script:
#!/bin/bash # Description: Verify if 'eval_jax_descriptor' method is defined in the codebase. # Test: Search for the definition of 'eval_jax_descriptor'. Expect: At least one match indicating the method definition. rg -g "*.py" -A 2 -B 2 'def eval_jax_descriptor\('Length of output: 413
deepmd/dpmodel/utils/nlist.py (1)
166-180
: Changes enhance clarity and efficiency in neighbor list handling.The modifications to the
nlist_distinguish_types
function improve the handling of atomic types and neighbor lists. The use ofxp.where
andxp_take_along_axis
simplifies the logic and enhances code readability.🧰 Tools
🪛 Ruff
171-171: Local variable
snsel
is assigned to but never usedRemove assignment to unused variable
snsel
(F841)
deepmd/dpmodel/descriptor/se_e2_a.py (10)
10-10
: Ensurearray_api_compat
is included in dependenciesThe import statement for
array_api_compat
is added. Please verify thatarray_api_compat
is installed in the environment and included in your project's dependencies, such as inrequirements.txt
orsetup.py
, to prevent import issues.
18-20
: Import ofto_numpy_array
is appropriateThe import of
to_numpy_array
fromdeepmd.dpmodel.common
is necessary for serialization purposes later in the code.
193-201
: Initialization of embeddings is correctly updatedThe modification initializes the
embeddings
usingNetworkCollection
with appropriate dimensions based onself.type_one_side
. The loop correctly iterates over the embedding indices, and each embedding is instantiated with the given parameters.
209-219
: Proper assignment and initialization of class variablesThe assignments to
self.embeddings
,self.env_mat
, and other class variables likeself.nnei
,self.davg
,self.dstd
, andself.sel_cumsum
are correctly implemented. The use of.item()
afternp.sum(self.sel)
ensures thatself.nnei
is a scalar, which is appropriate.
330-332
: Utilization ofarray_api_compat
for array operationsThe
cal_g
method now usesarray_api_compat
to obtain the array namespacexp
, enhancing compatibility with different array backends. The reshaping ofss
usingxp.reshape
ensures that the code is compatible with the selected array API.
454-455
: Serialization uses consistent data typesConverting
self.davg
andself.dstd
to numpy arrays usingto_numpy_array
ensures consistent data types during serialization, which is important for data integrity when saving and loading models.
509-591
: Addition ofDescrptSeAArrayAPI
class enhances array compatibilityThe new class
DescrptSeAArrayAPI
extendsDescrptSeA
and overrides thecall
method to utilize the array API provided byarray_api_compat
. This includes:
- Checking
self.type_one_side
and raisingNotImplementedError
if it'sFalse
, which correctly reflects the current limitations.- Deleting the
mapping
parameter as it's unused.- Using
xp
for array operations, ensuring compatibility with different array libraries.- Replacing
np.einsum
with equivalent operations usingxp.sum
and broadcasting, which can offer performance benefits and compatibility.
546-549
: Informative error message for unsupported configurationThe check for
self.type_one_side
and the subsequentNotImplementedError
provide a clear indication thattype_one_side == False
is not supported inDescrptSeAArrayAPI
. This helps users understand the limitations of the new class.
551-551
: Unused parametermapping
is appropriately handledThe deletion of the unused parameter
mapping
withdel mapping
prevents potential confusion and indicates that it is intentionally not used in this method.
579-587
: Optimized array operationsThe replacement of
xp.einsum
with explicit sum and multiplication operations:
- Line 579:
gr_tmp = xp.sum(gg[:, :, :, None] * tr[:, :, None, :], axis=1)
- Line 587:
grrg = xp.sum(gr[:, :, :, None, :] * gr1[:, :, None, :, :], axis=4)
These changes improve compatibility with array APIs that may not support
einsum
and can lead to performance improvements.
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## devel #4217 +/- ##
==========================================
+ Coverage 83.50% 83.52% +0.01%
==========================================
Files 541 542 +1
Lines 52488 52538 +50
Branches 3047 3043 -4
==========================================
+ Hits 43831 43882 +51
Misses 7709 7709
+ Partials 948 947 -1 ☔ View full report in Codecov by Sentry. |
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Summary by CodeRabbit
New Features
DescrptSeAArrayAPI
for enhanced array compatibility.DescrptSeA
integrated with the Flax library for neural network modules.Tests