(variables, limit=40)
return "\n".join(lines)
Returns a string with variables names, their shapes, count, and types.

  To get all trainable parameters pass in `tf.trainable_variables()`.

  Args:
    variables: List of `tf.Variable`(s).
    limit: If not `None`, the maximum number of variables to include.

  Returns:
    A string with a table like in the example.

  +----------------+---------------+------------+---------+
  | Name           | Shape         | Size       | Type    |
  +----------------+---------------+------------+---------+
  | FC_1/weights:0 | (63612, 1024) | 65,138,688 | float32 |
  | FC_1/biases:0  |       (1024,) |      1,024 | float32 |
  | FC_2/weights:0 |    (1024, 32) |     32,768 | float32 |
  | FC_2/biases:0  |         (32,) |         32 | float32 |
  +----------------+---------------+------------+---------+

  Total: 65,172,512
Returns a string with variables names, their shapes, count, and types.
Returns a string with variables names their shapes count and types .
def get_parameter_overview(variables, limit=40):
  """Returns a string with variables names, their shapes, count, and types.

  To get all trainable parameters pass in `tf.trainable_variables()`.

  Args:
    variables: List of `tf.Variable`(s).
    limit: If not `None`, the maximum number of variables to include.

  Returns:
    A string with a table like in the example.

  +----------------+---------------+------------+---------+
  | Name           | Shape         | Size       | Type    |
  +----------------+---------------+------------+---------+
  | FC_1/weights:0 | (63612, 1024) | 65,138,688 | float32 |
  | FC_1/biases:0  |       (1024,) |      1,024 | float32 |
  | FC_2/weights:0 |    (1024, 32) |     32,768 | float32 |
  | FC_2/biases:0  |         (32,) |         32 | float32 |
  +----------------+---------------+------------+---------+

  Total: 65,172,512
  """
  max_name_len = max([len(v.name) for v in variables] + [len("Name")])
  max_shape_len = max([len(str(v.get_shape())) for v in variables] + [len(
      "Shape")])
  max_size_len = max([len("{:,}".format(v.get_shape().num_elements()))
                      for v in variables] + [len("Size")])
  max_type_len = max([len(v.dtype.base_dtype.name) for v in variables] + [len(
      "Type")])

  var_line_format = "| {: <{}s} | {: >{}s} | {: >{}s} | {: <{}s} |"
  sep_line_format = var_line_format.replace(" ", "-").replace("|", "+")

  header = var_line_format.replace(">", "<").format("Name", max_name_len,
                                                    "Shape", max_shape_len,
                                                    "Size", max_size_len,
                                                    "Type", max_type_len)
  separator = sep_line_format.format("", max_name_len, "", max_shape_len, "",
                                     max_size_len, "", max_type_len)

  lines = [separator, header, separator]

  total_weights = sum(v.get_shape().num_elements() for v in variables)

  # Create lines for up to 80 variables.
  for v in variables:
    if limit is not None and len(lines) >= limit:
      lines.append("[...]")
      break
    lines.append(var_line_format.format(
        v.name, max_name_len,
        str(v.get_shape()), max_shape_len,
        "{:,}".format(v.get_shape().num_elements()), max_size_len,
        v.dtype.base_dtype.name, max_type_len))

  lines.append(separator)
  lines.append("Total: {:,}".format(total_weights))

  return "\n".join(lines)
def get_parameter_overview ( variables , limit = 40 ) : max_name_len = max ( [ len ( v . name ) for v in variables ] + [ len ( "Name" ) ] ) max_shape_len = max ( [ len ( str ( v . get_shape ( ) ) ) for v in variables ] + [ len ( "Shape" ) ] ) max_size_len = max ( [ len ( "{:,}" . format ( v . get_shape ( ) . num_elements ( ) ) ) for v in variables ] + [ len ( "Size" ) ] ) max_type_len = max ( [ len ( v . dtype . base_dtype . name ) for v in variables ] + [ len ( "Type" ) ] ) var_line_format = "| {: <{}s} | {: >{}s} | {: >{}s} | {: <{}s} |" sep_line_format = var_line_format . replace ( " " , "-" ) . replace ( "|" , "+" ) header = var_line_format . replace ( ">" , "<" ) . format ( "Name" , max_name_len , "Shape" , max_shape_len , "Size" , max_size_len , "Type" , max_type_len ) separator = sep_line_format . format ( "" , max_name_len , "" , max_shape_len , "" , max_size_len , "" , max_type_len ) lines = [ separator , header , separator ] total_weights = sum ( v . get_shape ( ) . num_elements ( ) for v in variables ) # Create lines for up to 80 variables. for v in variables : if limit is not None and len ( lines ) >= limit : lines . append ( "[...]" ) break lines . append ( var_line_format . format ( v . name , max_name_len , str ( v . get_shape ( ) ) , max_shape_len , "{:,}" . format ( v . get_shape ( ) . num_elements ( ) ) , max_size_len , v . dtype . base_dtype . name , max_type_len ) ) lines . append ( separator ) lines . append ( "Total: {:,}" . format ( total_weights ) ) return "\n" . join ( lines )