6d8fd50a05261bd3978bbde4ed3831ef38a9b13d,onnx_tf/backend.py,TensorflowBackend,_conv,#Any#Any#Any#Any#,456

Before Change

      warnings.warn("Unsupported group attribute by Tensorflow in "
                    "Conv. This attribute will be ignored.",
                    UserWarning)
    if "pads" in node.attrs.keys():
      warnings.warn("Unsupported pads attribute by Tensorflow in "
                    "Conv operator. The SAME padding algorithm will be used.",
                    UserWarning)

After Change

    convolved = tf.nn.convolution(x, weights, tf_pads, strides=strides,
                              dilation_rate=dilations,
                              data_format=data_format)
    if len(node.inputs) == 2:
      return [convolved]
    else:
      bias = input_dict[node.inputs[2]]
      return [tf.nn.bias_add(convolved, bias, data_format="NCHW")]

  @classmethod
  def handle_conv(cls, node, input_dict):
    return cls._conv(node, input_dict)

Instances