84398f9fb6e6a8d2bb913367fdd389f9ca3a5405,deepchem/models/tensorgraph/layers.py,Conv2D,create_tensor,#Conv2D#Any#Any#,2045

Before Change

    parent_tensor = inputs[0]
    if len(parent_tensor.get_shape()) == 3:
      parent_tensor = tf.expand_dims(parent_tensor, 3)
    for reuse in (self._reuse, False):
      try:
        if tf.executing_eagerly():
          if not self._built:
            self._layer = self._build_layer(False)
            self._non_pickle_fields.append("_layer")
          layer = self._layer
        else:
          layer = self._build_layer(reuse)
        out_tensor = layer(parent_tensor)
        if self.normalizer_fn is not None:
          out_tensor = self.normalizer_fn(out_tensor)
        break
      except ValueError:
        if reuse:
          // This probably means the variable hasn"t been created yet, so try again
          // with reuse set to false.
          continue
        raise
    if set_tensors:
      self._record_variable_scope(self.scope_name)
      self.out_tensor = out_tensor
    if tf.executing_eagerly() and not self._built:
      self._built = True
      self.variables = self._layer.variables
    return out_tensor


class Conv3D(SharedVariableScope):

After Change

        bias_initializer=self.biases_initializer(),
        kernel_initializer=self.weights_initializer())

  def create_tensor(self, in_layers=None, set_tensors=True, **kwargs):
    inputs = self._get_input_tensors(in_layers)
    parent_tensor = inputs[0]
    if len(parent_tensor.get_shape()) == 3:
      parent_tensor = tf.expand_dims(parent_tensor, 3)
    layer = self._get_layer(set_tensors)
    out_tensor = layer(parent_tensor)
    if self.normalizer_fn is not None:
      out_tensor = self.normalizer_fn(out_tensor)
    if set_tensors:
      self.out_tensor = out_tensor
      self.trainable_variables = layer.trainable_variables
    if tf.executing_eagerly() and not self._built:
      self._built = True
      self.trainable_variables = layer.trainable_variables
    return out_tensor


class Conv3D(SharedLayer):

Instances