Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Input objects for the forward 2D locally connected layer More...
Public Member Functions | |
def | __init__ |
def | getWeightsSizes |
def | getBiasesSizes |
def | check |
def | allocate_{Float64|Float32} |
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def | __init__ |
def | getInput |
def | setInput |
def | getInputLayerData |
def | setInputLayerData |
def | check |
def | getLayout |
def | getWeightsSizes |
def | getBiasesSizes |
def | addData |
def | eraseInputData |
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def | __init__ |
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def | __init__ |
def | check |
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def | __init__ |
def | __lshift__ |
def | size |
def __init__ | ( | self, | |
args | |||
) |
Default constructor
Copy constructor
def allocate_{Float64|Float32} | ( | self, | |
parameter, | |||
method | |||
) |
Allocates memory to store the result of forward 2D locally connected layer
parameter | Parameter of forward 2D locally connected layer |
method | Computation method for the layer |
allocate_Float64
is for float64
allocate_Float32
is for float32
def check | ( | self, | |
parameter, | |||
method | |||
) |
Checks input object of the forward 2D locally connected layer
parameter | Parameter of layer |
method | Computation method of the layer |
def getBiasesSizes | ( | self, | |
parameter | |||
) |
Returns dimensions of biases tensor
def getWeightsSizes | ( | self, | |
parameter | |||
) |
Returns dimensions of weights tensor
For more complete information about compiler optimizations, see our Optimization Notice.