Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Abstract class that specifies the interface of the algorithms for computing kernel functions in the batch processing mode. More...
Public Member Functions | |
def | getInput |
def | getParameter |
def | getResult |
def | setResult |
def | clone |
![]() | |
def | computeNoThrow |
def | compute |
def | checkComputeParams |
def | checkResult |
def | setupCompute |
def | resetCompute |
def | enableResetOnCompute |
def | hostApp |
def | setHostApp |
![]() | |
def | checkComputeParams |
def | getBaseParameter |
![]() | |
def | enableChecks |
def | isChecksEnabled |
![]() | |
def | checkComputeParams |
def | checkResult |
def | getMethod |
def clone | ( | self | ) |
Returns a pointer to the newly allocated algorithm for computing kernel functions with a copy of input objects and parameters of this algorithm for computing kernel functions
def getInput | ( | self | ) |
Get input objects for the kernel function algorithm
def getParameter | ( | self | ) |
Get parameters of the kernel function algorithm
def getResult | ( | self | ) |
Returns the structure that contains computed results of the kernel function algorithm
def setResult | ( | self, | |
res | |||
) |
Registers user-allocated memory to store results of the kernel function algorithm
res | Structure to store the results |
For more complete information about compiler optimizations, see our Optimization Notice.