You might have come across various types of transformers in your daily life either knowingly or unknowingly. This article illustrates various transformer types. Before getting into classification, here is a brief introduction to the basic principle of the operation of transformers. Transformers are devic...
with the flux linkage between them being through the air. The mutual inductance of an air-core transformer is lower than that of an iron core transformer, implying that the reluctance supplied to the produced flux is higher in the air medium. In an air-core type transformer, however...
When I manually remove it again (see my comment in the diff), the losses don't show nan. Therefore, this specific issue is somehow related to modules_to_save. As you mentioned, this is independent of PEFT version, I tested 0.5.0, 0.6.0, 0.6.1, 0.6.2, and 0.7.0. PyTorch version...
The paper is focused on comparison of power losses and a quality of output voltage in inverters fed drives for several types of inverters. The explored types of inverters were either based on hard switched inverter with dv/dt or sine-wave filter or the resonant or quasi resonant inverters. Th...
In addition, power transformer outages have a considerable economic impact on the operation of an electrical network [1]. Application of nonlinear loads in recent decades, such as power electronic loads, caused higher levels of harmonic. This kind of load can lead to creating heat, losses and ...
Due to their higher magnetic permeability these have high inductance property. These are high power inductors but limited in higher frequency capacity due to the hysteresis and eddy current losses. Transformer designsare the examples of this type. ...
In this paper the comparison of three different types of SFCL, the resistive, the inductive and the rectifier type, with reference to a significant position in the distribution network, is carried out. The design of the SFCL devices is developed and size, losses and refrigeration power are eval...
and Swin Transformer. This paper contributes a model with fewer parameters but higher accuracy to the automated cancer detection literature, which suggests the introduction of a new option. Then, for automated and early detection, we developed a lightweight model named CCanNet. This model was idea...
In our main experiments, we compare three variants of trait-specific models using different inputs: (1) models based on 220 linguistic features, (2) models using essay-level contextual embeddings from the distilled version of the pre-trained transformer BERT (DistilBERT), and (3) a hybrid ...
optional connections for cases where the# computation graph does not fully reflect the connections you want to see,# e.g. because of detach() commands or non-differentiable dependencies.comgra.my_recorder.add_tensor_connection(...)# Call these whenever you apply losses and propagate gradients:co...