tf.matrix_determinant(input, name=None) Computes the determinant of one ore more square matrices. The
tf.unique(x, out_idx=None, name=None) Finds unique elements in a 1-D tensor. This operation returns
tf.diag(diagonal, name=None) Returns a diagonal tensor with a given diagonal values. Given a
tf.fft(input, name=None) Compute the 1-dimensional discrete Fourier Transform over the inner-most dimension
tf.trace(x, name=None) Compute the trace of a tensor x. trace(x) returns
tf.matrix_diag(diagonal, name=None) Returns a batched diagonal tensor with a given batched diagonal values.
tf.sub(x, y, name=None) Returns x - y element-wise. NOTE: Sub supports broadcasting
tf.mod(x, y, name=None) Returns element-wise remainder of division. NOTE: Mod
tf.mul(x, y, name=None) Returns x * y element-wise. NOTE: Mul supports broadcasting
tf.diag_part(input, name=None) Returns the diagonal part of the tensor. This operation returns
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