src.tests.features_upsampling_layer_test

Classes

FeaturesUpsamplingLayerTest()

class src.tests.features_upsampling_layer_test.FeaturesUpsamplingLayerTest
Author:

Alberto M. Esmoris Pena

Features upsampling layer test that checks the operations of a features upsampling layer yield the expected results.

__init__()

Basic configuration for any VL3D test.

Parameters:

name (str) – Test name

run()

Run features upsampling layer test.

Returns:

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

Return type:

bool

validate_mean_upsampling(inputs, nneighs, ful_mean_out)

Check whether the mean-based upsampling layer yielded the expected output (True) or not (False).

Parameters:

  • inputs – The inputs to the layer.

  • nneighs – The number of encoding neighbors.

  • ful_mean_out – The output generated by the layer.

Returns:

True if the output is okay, False otherwise.

validate_max_upsampling(inputs, nneighs, ful_max_out)

Check whether the max-based upsampling layer yielded the expected output (True) or not (False).

Parameters:

  • inputs – The inputs to the layer.

  • nneighs – The number of encoding neighbors.

  • ful_max_out – The output generated by the layer.

Returns:

True if the output is okay, False otherwise.

validate_gaussian_upsampling(inputs, nneighs, ful_gauss_out)

Check whether the gaussian-based upsampling layer yielded the expected output (True) or not (False).

Parameters:

  • inputs – The inputs to the layer.

  • nneighs – The number of encoding neighbors.

  • ful_gaussian_out – The output generated by the layer.

Returns:

True if the output is okay, False otherwise.

validate_exponential_upsampling(inputs, nneighs, ful_exp_out)

Check whether the exponential-based upsampling layer yielded the expected output (True) or not (False).

Parameters:

  • inputs – The inputs to the layer.

  • nneighs – The number of encoding neighbors.

  • ful_exp_out – The output generated by the layer.

Returns:

True if the output is okay, False otherwise.

validate_nearest_upsampling(inputs, nneighs, ful_nearest_out)

Check whether the nearest neighbor upsampling layer yielded the expected output (True) or not (False).

Parameters:

  • inputs – The inputs to the layer.

  • nneighs – The number of encoding neighbors (IGNORED).

  • ful_nearest_out – The output generated by the layer.

Returns:

True if the output is okay, False otherwise.