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iperov 2021-06-09 19:17:18 +04:00
parent 24ba84d4a5
commit 5dc027a8b0
1 changed files with 23 additions and 21 deletions
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44
core/leras/layers/Conv2D.py
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@ -23,28 +23,13 @@ class Conv2D(nn.LayerBase):
if padding == "SAME":
padding = ( (kernel_size - 1) * dilations + 1 ) // 2
elif padding == "VALID":
padding = 0
padding = None
else:
raise ValueError ("Wrong padding type. Should be VALID SAME or INT or 4x INTs")
if isinstance(padding, int):
if padding != 0:
if nn.data_format == "NHWC":
padding = [ [0,0], [padding,padding], [padding,padding], [0,0] ]
else:
padding = [ [0,0], [0,0], [padding,padding], [padding,padding] ]
else:
padding = None
if nn.data_format == "NHWC":
strides = [1,strides,strides,1]
else:
strides = [1,1,strides,strides]
if nn.data_format == "NHWC":
dilations = [1,dilations,dilations,1]
else:
dilations = [1,1,dilations,dilations]
padding = int(padding)
self.in_ch = in_ch
self.out_ch = out_ch
@ -93,9 +78,26 @@ class Conv2D(nn.LayerBase):
if self.use_wscale:
weight = weight * self.wscale
if self.padding is not None:
x = tf.pad (x, self.padding, mode='CONSTANT')
padding = self.padding
if padding is not None:
if nn.data_format == "NHWC":
padding = [ [0,0], [padding,padding], [padding,padding], [0,0] ]
else:
padding = [ [0,0], [0,0], [padding,padding], [padding,padding] ]
x = tf.pad (x, padding, mode='CONSTANT')
strides = self.strides
if nn.data_format == "NHWC":
strides = [1,strides,strides,1]
else:
strides = [1,1,strides,strides]
dilations = self.dilations
if nn.data_format == "NHWC":
dilations = [1,dilations,dilations,1]
else:
dilations = [1,1,dilations,dilations]
x = tf.nn.conv2d(x, weight, self.strides, 'VALID', dilations=self.dilations, data_format=nn.data_format)
if self.use_bias:
if nn.data_format == "NHWC":