Removed max pooling warning on docs

NEGU93 · Jan 20, 2021 · 2470331 · 2470331
1 parent d6da458
commit 2470331
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Showing 4 changed files with 3 additions and 6 deletions.
diff --git a/cvnn/_version.py b/cvnn/_version.py
@@ -1 +1 @@
-__version__ = '1.0.2'
+__version__ = '1.0.3'
diff --git a/docs/index.rst b/docs/index.rst
@@ -3,7 +3,7 @@ Complex-Valued Neural Network (CVNN)
 ====================================
 
 :Author:  J. Agustin Barrachina
-:Version: 1.0.2 of 01/20/2021
+:Version: 1.0.3 of 01/20/2021
 
 
 Content

diff --git a/docs/layers/complex_pooling_2d.rst b/docs/layers/complex_pooling_2d.rst
@@ -28,9 +28,6 @@ Complex Max Pooling 2D
     Max pooling operation for 2D spatial data.
     Works for complex dtype using the absolute value to get the max.
 
-.. warning:: 
-    ATTENTION: This layer seams to be doing a strange casting to real when implemented in a Sequential model. It is therefore not correctly working for the moment.
-
 **Complex dtype example**
 
 First, let's create a complex image

diff --git a/tests/test_several_datasets.py b/tests/test_several_datasets.py
@@ -137,11 +137,11 @@ def random_dataset():
 
 
 def test_datasets():
+    run_gaussian_dataset_montecarlo(epochs=2, iterations=1)
     random_dataset()
     cifar10_test()
     fashion_mnist_example()
     mnist_example()
-    # run_gaussian_dataset_montecarlo(epochs=2, iterations=1)
 
 
 if __name__ == '__main__':