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fix conv1d convertion #155

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fix conv1d convertion #155

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9 changes: 6 additions & 3 deletions onnx2keras/convolution_layers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -186,11 +186,14 @@ def convolve_lambda(i, k):
else:
weights = [W]

def target_layer(x, w=weights, stride=strides[0]):
def target_layer(x, wb=weights, stride=strides[0]):
import tensorflow as tf
w = tf.convert_to_tensor(w[0])
w = tf.convert_to_tensor(wb[0])
x = tf.transpose(x, [0, 2, 1])
x = tf.nn.conv1d(x, w, stride=stride, padding='SAME', data_format='NWC')
x = tf.nn.conv1d(x, w, stride=stride, padding='VALID', data_format='NWC')
if len(wb)==2:
b = tf.convert_to_tensor(wb[1])
x = x + b
return tf.transpose(x, [0, 2, 1])

lambda_layer = keras.layers.Lambda(target_layer, name=keras_name)
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