code: def histogram_fixed_width(
      values, value_range, nbins=100, dtype=dtypes.int32, name=None
  ):
      """Return histogram of values.
  
      Given the tensor `values`, this operation returns a rank 1 histogram counting
      the number of entries in `values` that fell into every bin.  The bins are
      equal width and determined by the arguments `value_range` and `nbins`.
  
      Args:
        values:  Numeric `Tensor`.
        value_range:  Shape [2] `Tensor` of same `dtype` as `values`.
          values <= value_range[0] will be mapped to hist[0],
          values >= value_range[1] will be mapped to hist[-1].
        nbins:  Scalar `int32 Tensor`.  Number of histogram bins.
        dtype:  dtype for returned histogram.
        name:  A name for this operation (defaults to 'histogram_fixed_width').
  
      Returns:
        A 1-D `Tensor` holding histogram of values.
  
      Raises:
        TypeError: If any unsupported dtype is provided.
        tf.errors.InvalidArgumentError: If value_range does not
            satisfy value_range[0] < value_range[1].
  
      Examples:
  
      >>> # Bins will be:  (-inf, 1), [1, 2), [2, 3), [3, 4), [4, inf)
      ...
      >>> nbins = 5
      >>> value_range = [0.0, 5.0]
      >>> new_values = [-1.0, 0.0, 1.5, 2.0, 5.0, 15]
      >>> hist = tf.histogram_fixed_width(new_values, value_range, nbins=5)
      >>> hist.numpy()
      array([2, 1, 1, 0, 2], dtype=int32)
      """
      with ops.name_scope(
          name, "histogram_fixed_width", [values, value_range, nbins]
      ) as name:
          # pylint: disable=protected-access
          return gen_math_ops._histogram_fixed_width(
              values, value_range, nbins, dtype=dtype, name=name
          )
  
file_path: tensorflow/tensorflow/python/ops/histogram_ops.py
imports: from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 2 for calling a global function with example usage: histogram_fixed_width(values, value_range, nbins, dtype, name) and returns: gen_math_ops