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Fix TFDWConv() c1 == c2 check #7842

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merged 1 commit into from
May 16, 2022
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Fix TFDWConv() c1 == c2 check #7842

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4 changes: 2 additions & 2 deletions models/tf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -88,10 +88,10 @@ def call(self, inputs):

class TFDWConv(keras.layers.Layer):
# Depthwise convolution
def __init__(self, c1, c2, k=1, s=1, p=None, g=1, act=True, w=None):
def __init__(self, c1, c2, k=1, s=1, p=None, act=True, w=None):
# ch_in, ch_out, weights, kernel, stride, padding, groups
super().__init__()
assert g == c1 == c2, f'TFDWConv() groups={g} must equal input={c1} and output={c2} channels'
assert c1 == c2, f'TFDWConv() input={c1} must equal output={c2} channels'
conv = keras.layers.DepthwiseConv2D(
kernel_size=k,
strides=s,
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