import tensorflow as tf

from . import var_init
from .util import static_shape
from .variable import variable



def linear(x, output_layer_size):
  weight = variable([static_shape(x)[1], output_layer_size])
  bias = variable([output_layer_size])
  tf.add_to_collection(tf.GraphKeys.WEIGHTS, weight)
  tf.add_to_collection(tf.GraphKeys.BIASES, bias)
  return tf.matmul(x, weight) + bias

import tensorflow as tf

from .util import static_shape
from .variable import variable



def linear(x, output_layer_size):
  weight = variable([static_shape(x)[1], output_layer_size])
  bias = variable([output_layer_size])
  tf.add_to_collection(tf.GraphKeys.WEIGHTS, weight)
  tf.add_to_collection(tf.GraphKeys.BIASES, bias)
  return tf.matmul(x, weight) + bias

Remove an extra import statement
Remove an extra import statement

  import tensorflow as tf
  
- from . import var_init
  from .util import static_shape
  from .variable import variable
  
  
  
  def linear(x, output_layer_size):
    weight = variable([static_shape(x)[1], output_layer_size])
    bias = variable([output_layer_size])
    tf.add_to_collection(tf.GraphKeys.WEIGHTS, weight)
    tf.add_to_collection(tf.GraphKeys.BIASES, bias)
    return tf.matmul(x, weight) + bias
  
Remove an extra import statement
## Code Before:
import tensorflow as tf

from . import var_init
from .util import static_shape
from .variable import variable



def linear(x, output_layer_size):
  weight = variable([static_shape(x)[1], output_layer_size])
  bias = variable([output_layer_size])
  tf.add_to_collection(tf.GraphKeys.WEIGHTS, weight)
  tf.add_to_collection(tf.GraphKeys.BIASES, bias)
  return tf.matmul(x, weight) + bias

## Instruction:
Remove an extra import statement
## Code After:
import tensorflow as tf

from .util import static_shape
from .variable import variable



def linear(x, output_layer_size):
  weight = variable([static_shape(x)[1], output_layer_size])
  bias = variable([output_layer_size])
  tf.add_to_collection(tf.GraphKeys.WEIGHTS, weight)
  tf.add_to_collection(tf.GraphKeys.BIASES, bias)
  return tf.matmul(x, weight) + bias
