src.tests.kpconv_layer_test
Classes
- class src.tests.kpconv_layer_test.KPConvLayerTest
- Author:
Alberto M. Esmoris Pena
Kernel point convolution (KPConv) layer test that checks the operations of a KPConv layer yield the expected results.
- __init__()
Basic configuration for any VL3D test.
- Parameters:
name (str) – Test name
- run()
Run KPConv layer test.
- Returns:
True if
KPConvLayerworks as expected for the test cases, False otherwise.- Return type:
bool
- validate_no_activation(inputs, nneighs, Dout, kpcl, kpcl_out)
Check whether the
KPConvLayeryielded 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.
kpcl (
KPConvLayer) – The layer.kpcl_out – The output of the layer.
- Returns:
True if the output is okay, False otherwise.