GradCAM's heatmap worsened from .1 to .2

[TedGraham]

I'm using Keras' VGG16 to classify a picture of a dog and am generating a heatmap from GradCAM.explain.

Using .1.0 and specifying the layer_name of "block5_conv3" gives a much nicer heatmap (first image) than using .2.0 and not specifying the layer_name (second image).

• the behavior of .2.1 and .2.0 appears the same to me
• specifying the layer_name with .2.1 doesn't fix this, the auto choosing of the layer appears to be picking the block5_conv3 layer

[RaphaelMeudec]

Thanks for raising this, will look into it!