(batch_size=1)
return graph
Load the NSynth fast generation network.

  Args:
    batch_size: Batch size number of observations to process. [1]
  Returns:
    graph: The network as a dict with input placeholder in {"X"}
Load the NSynth fast generation network.
Load the NSynth fast generation network .
def load_fastgen_nsynth(batch_size=1):
  """Load the NSynth fast generation network.

  Args:
    batch_size: Batch size number of observations to process. [1]
  Returns:
    graph: The network as a dict with input placeholder in {"X"}
  """
  config = FastGenerationConfig(batch_size=batch_size)
  with tf.device("/gpu:0"):
    x = tf.placeholder(tf.float32, shape=[batch_size, 1])
    graph = config.build({"wav": x})
    graph.update({"X": x})
  return graph
def load_fastgen_nsynth ( batch_size = 1 ) : config = FastGenerationConfig ( batch_size = batch_size ) with tf . device ( "/gpu:0" ) : x = tf . placeholder ( tf . float32 , shape = [ batch_size , 1 ] ) graph = config . build ( { "wav" : x } ) graph . update ( { "X" : x } ) return graph