|  TensorFlow 1 version |  View source on GitHub | 
Computes the elementwise value of a polynomial.
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 Tensorrepresenting the coefficients of the polynomial. | 
| x | A Tensorrepresenting the variable of the polynomial. | 
| name | A name for the operation (optional). | 
| Returns | |
|---|---|
| A tensorof the shape as the expression p(x) with usual broadcasting rules
for element-wise addition and multiplication applied. | 
Numpy Compatibility
Equivalent to numpy.polyval.