tf.ifft3d(input, name=None) Compute the inverse 3-dimensional discrete Fourier Transform over the inner-most 3

tf.igammac(a, x, name=None) Compute the upper regularized incomplete Gamma function Q(a, x). The

tf.fft(input, name=None) Compute the 1-dimensional discrete Fourier Transform over the inner-most dimension

tf.accumulate_n(inputs, shape=None, tensor_dtype=None, name=None) Returns the element-wise sum of a list of tensors.

tf.trace(x, name=None) Compute the trace of a tensor x. trace(x) returns

tf.unique(x, out_idx=None, name=None) Finds unique elements in a 1-D tensor. This operation returns

tf.betainc(a, b, x, name=None) Compute the regularized incomplete beta integral \(I_x(a, b)\). The

tf.edit_distance(hypothesis, truth, normalize=True, name='edit_distance') Computes the Levenshtein distance between sequences

tf.segment_mean(data, segment_ids, name=None) Computes the mean along segments of a tensor. Read

tf.sparse_segment_sqrt_n(data, indices, segment_ids, name=None) Computes the sum along sparse segments of a tensor divided by