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Fix Codacy Warnings (#477)

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Co-authored-by: Dario Coscia <dariocos99@gmail.com>
This commit is contained in:
Filippo Olivo
2025-03-10 15:38:45 +01:00
committed by Nicola Demo
parent e3790e049a
commit 4177bfbb50
157 changed files with 3473 additions and 3839 deletions
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15
pina/model/block/pod_block.py
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@@ -1,10 +1,6 @@
"""Module for Base Continuous Convolution class."""
from abc import ABCMeta, abstractmethod
import torch
from .stride import Stride
from .utils_convolution import optimizing
import warnings
class PODBlock(torch.nn.Module):
@@ -15,7 +11,8 @@ class PODBlock(torch.nn.Module):
The layer is not trainable.
.. note::
All the POD modes are stored in memory, avoiding to recompute them when the rank changes but increasing the memory usage.
All the POD modes are stored in memory, avoiding to recompute them when
the rank changes but increasing the memory usage.
"""
def __init__(self, rank, scale_coefficients=True):
@@ -51,7 +48,8 @@ class PODBlock(torch.nn.Module):
@property
def basis(self):
"""
The POD basis. It is a matrix whose columns are the first `self.rank` POD modes.
The POD basis. It is a matrix whose columns are the first `self.rank`
POD modes.
:rtype: torch.Tensor
"""
@@ -69,7 +67,7 @@ class PODBlock(torch.nn.Module):
:rtype: dict
"""
if self._scaler is None:
return
return None
return {
"mean": self._scaler["mean"][: self.rank],
@@ -115,7 +113,8 @@ class PODBlock(torch.nn.Module):
def _fit_pod(self, X, randomized):
"""
Private method that computes the POD basis of the given tensor and stores it in the private member `_basis`.
Private method that computes the POD basis of the given tensor and
stores it in the private member `_basis`.
:param torch.Tensor X: The tensor to be reduced.
"""