class_docstr: A TF1CoreSaliency class that computes saliency using Integrated Gradients.
  
  https://arxiv.org/abs/1703.01365
class_docstr_tok: ["A","TF1CoreSaliency","class","that","computes","saliency","using","Integrated","Gradients",".","https",":","\/\/arxiv.org\/abs\/1703.01365"]
docstr: Returns an integrated gradients mask.
  
  Args:
    x_value: Input value, not batched.
    feed_dict: (Optional) feed dictionary to pass to the session.run call.
    x_baseline: Baseline value used in integration. Defaults to 0.
    x_steps: Number of integrated steps between baseline and x.
    batch_size: Maximum number of x inputs (steps along the integration path)
      that are passed to sess.run as a batch.
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code: def GetMask(
      self,
      x_value,
      feed_dict=None,
      x_baseline=None,
      x_steps=25,
      batch_size=1,
  ):
      """Returns an integrated gradients mask.
  
      Args:
        x_value: Input value, not batched.
        feed_dict: (Optional) feed dictionary to pass to the session.run call.
        x_baseline: Baseline value used in integration. Defaults to 0.
        x_steps: Number of integrated steps between baseline and x.
        batch_size: Maximum number of x inputs (steps along the integration path)
          that are passed to sess.run as a batch.
      """
      self.validate_xy_tensor_shape(x_steps, batch_size)
  
      return self.core_instance.GetMask(
          x_value,
          self.call_model_function,
          call_model_args=feed_dict,
          x_baseline=x_baseline,
          x_steps=x_steps,
          batch_size=batch_size,
      )
  
imports: from .base import TF1CoreSaliency
  from ..core import integrated_gradients
label_desc: Use image node_id 2 for calling the IntegratedGradients obj's underlying member method code with example usage: obj.GetMask(x_value, feed_dict, x_baseline, x_steps, batch_size) and returns: self