src.tests.strided_kpconv_layer_test

Classes

StridedKPConvLayerTest()

class src.tests.strided_kpconv_layer_test.StridedKPConvLayerTest

Author:

Alberto M. Esmoris PEna

Strided kernel point convolution (Strided KPConv) layer test that checks the operation of a strided KPConv layer yields the expected results.

__init__()

Basic configuration for any VL3D test.

Parameters:

name (str) – Test name

run()

Run Strided KPConv layer test.

Returns:

True if StridedKPConvLayer works as expected for the test cases, False otherwise.

Return type:

bool

validate_no_activation(inputs, nneighs, Dout, skpcl, skpcl_out)

Check whether the StridedKPConvLayer yielded the expected output (True) or not (False).

Parameters:

• inputs – The inputs to the layer.

• nneighs – The number of neighbors per group.

• Dout – The output dimensionality.

• skpcl (StridedKPConvLayer) – The layer.

• skpcl_out – The output of the layer.

Returns:

True if the output is okay, False otherwise

Return type:

bool