tf.raw_ops.HistogramFixedWidth

Return histogram of values.

tf.raw_ops.HistogramFixedWidth(
    values,
    value_range,
    nbins,
    dtype=tf.dtypes.int32,
    name=None
)

Given the tensor values, this operation returns a rank 1 histogram counting the number of entries in values that fall into every bin. The bins are equal width and determined by the arguments value_range and nbins.

# 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]

with tf.get_default_session() as sess:
  hist = tf.histogram_fixed_width(new_values, value_range, nbins=5)
  variables.global_variables_initializer().run()
  sess.run(hist) => [2, 1, 1, 0, 2]