Python* API Reference for Intel® Data Analytics Acceleration Library 2019
Input objects for the forward 2D transposed convolution layer More...
Public Member Functions | |
| def | __init__ |
| def | getWeightsSizes |
| def | getBiasesSizes |
| def | check |
| def | allocate_{Float64|Float32} |
Public Member Functions inherited from Input | |
| def | __init__ |
| def | getInput |
| def | setInput |
| def | getInputLayerData |
| def | setInputLayerData |
| def | check |
| def | getLayout |
| def | getWeightsSizes |
| def | getBiasesSizes |
| def | addData |
| def | eraseInputData |
Public Member Functions inherited from InputIface | |
| def | __init__ |
Public Member Functions inherited from Input | |
| def | __init__ |
| def | check |
Public Member Functions inherited from Argument | |
| def | __init__ |
| def | __lshift__ |
| def | size |
| def __init__ | ( | self, | |
| args | |||
| ) |
Default constructor
| def allocate_{Float64|Float32} | ( | self, | |
| parameter, | |||
| method | |||
| ) |
Allocates memory to store the result of forward 2D transposed convolution layer
| parameter | Parameter of forward 2D transposed convolution layer |
| method | Computation method for the layer |
allocate_Float64 is for float64allocate_Float32 is for float32 | def check | ( | self, | |
| parameter, | |||
| method | |||
| ) |
Checks input object of the forward 2D transposed convolution 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.