Hparams passing with user warnings

This commit is contained in:
steffen
2020-04-17 18:07:54 +02:00
parent e53107420d
commit f5c240f038
5 changed files with 27 additions and 16 deletions

View File

@ -1,4 +1,5 @@
from typing import Union
import warnings
import torch
from torch import nn
@ -19,9 +20,9 @@ class ConvModule(nn.Module):
def __init__(self, in_shape, conv_filters, conv_kernel, activation: nn.Module = nn.ELU, pooling_size=None,
use_bias=True, use_norm=False, dropout: Union[int, float] = 0,
conv_class=nn.Conv2d, conv_stride=1, conv_padding=0):
conv_class=nn.Conv2d, conv_stride=1, conv_padding=0, **kwargs):
super(ConvModule, self).__init__()
warnings.warn(f'The following arguments have been ignored: \n {list(kwargs.keys())}')
# Module Parameters
self.in_shape = in_shape
in_channels, height, width = in_shape[0], in_shape[1], in_shape[2]

View File

@ -11,8 +11,16 @@ import pytorch_lightning as pl
# Utility - Modules
###################
class F_x(object):
def __init__(self):
pass
def __call__(self, x):
return x
# Utility - Modules
###################
class Flatten(nn.Module):
@property