8b7b61b3bd
* Adding Equations, solving typos * improve _code.rst * the team rst and restuctore index.rst * fixing errors --------- Co-authored-by: Dario Coscia <dariocoscia@dhcp-015.eduroam.sissa.it>
50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
""" Module for plotting. """
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import matplotlib.pyplot as plt
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import numpy as np
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import torch
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from pina import LabelTensor
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class Writer:
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"""
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Implementation of a writer class, for textual output.
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"""
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def __init__(self, frequency_print=10, header='any') -> None:
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"""
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The constructor of the class.
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:param int frequency_print: the frequency in epochs of printing.
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:param ['any', 'begin', 'none'] header: the header of the output.
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"""
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self._frequency_print = frequency_print
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self._header = header
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def header(self, trainer):
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"""
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The method for printing the header.
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"""
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header = []
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for condition_name in trainer.problem.conditions:
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header.append(f'{condition_name}')
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return header
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def write_loss(self, trainer):
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"""
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The method for writing the output.
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"""
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pass
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def write_loss_in_loop(self, trainer, loss):
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"""
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The method for writing the output within the training loop.
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:param pina.trainer.Trainer trainer: the trainer object.
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"""
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if trainer.trained_epoch % self._frequency_print == 0:
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print(f'Epoch {trainer.trained_epoch:05d}: {loss.item():.5e}')
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