tf.math.polyval

TensorFlow 2 version View source on GitHub

Computes the elementwise value of a polynomial.

Aliases:

tf.math.polyval(
    coeffs,
    x,
    name=None
)

If x is a tensor and coeffs is a list n + 1 tensors, this function returns the value of the n-th order polynomial

p(x) = coeffs[n-1] + coeffs[n-2] * x + ... + coeffs[0] * x**(n-1)

evaluated using Horner's method, i.e.

p(x) = coeffs[n-1] + x * (coeffs[n-2] + ... + x * (coeffs[1] + x * coeffs[0]))

Args:

  • coeffs: A list of Tensor representing the coefficients of the polynomial.
  • x: A Tensor representing the variable of the polynomial.
  • name: A name for the operation (optional).

Returns:

A tensor of the shape as the expression p(x) with usual broadcasting rules for element-wise addition and multiplication applied.

Numpy Compatibility

Equivalent to numpy.polyval.