From 60c5244a335b06f780b92e85c0155e569e8a0e46 Mon Sep 17 00:00:00 2001
From: Felix Kleinert <f.kleinert@fz-juelich.de>
Date: Tue, 3 Mar 2020 16:44:02 +0100
Subject: [PATCH] update tests: paddings ov conv layers are now 'valid'. Start
to write additional tests
---
test/test_model_modules/test_inception_model.py | 16 +++++++++++++---
1 file changed, 13 insertions(+), 3 deletions(-)
diff --git a/test/test_model_modules/test_inception_model.py b/test/test_model_modules/test_inception_model.py
index aa5cb284..01a58399 100644
--- a/test/test_model_modules/test_inception_model.py
+++ b/test/test_model_modules/test_inception_model.py
@@ -44,7 +44,7 @@ class TestInceptionModelBase:
conv_layer = self.step_in(act_layer)
assert isinstance(conv_layer, keras.layers.Conv2D)
assert conv_layer.filters == 32
- assert conv_layer.padding == 'same'
+ assert conv_layer.padding == 'valid'
assert conv_layer.kernel_size == (3, 3)
assert conv_layer.strides == (1, 1)
assert conv_layer.name == "Block_0a_3x3"
@@ -89,7 +89,7 @@ class TestInceptionModelBase:
conv_layer = self.step_in(act_layer)
assert isinstance(conv_layer, keras.layers.Conv2D)
assert conv_layer.filters == 32
- assert conv_layer.padding == 'same'
+ assert conv_layer.padding == 'valid'
assert conv_layer.kernel_size == (1, 1)
assert conv_layer.strides == (1, 1)
assert conv_layer.name == "Block_0a_1x1"
@@ -115,7 +115,7 @@ class TestInceptionModelBase:
conv_layer = self.step_in(act_layer)
assert isinstance(conv_layer, keras.layers.Conv2D)
assert conv_layer.filters == 32
- assert conv_layer.padding == 'same'
+ assert conv_layer.padding == 'valid'
assert conv_layer.kernel_size == (1, 1)
assert conv_layer.strides == (1, 1)
assert conv_layer.name == "Block_0a_1x1"
@@ -172,3 +172,13 @@ class TestInceptionModelBase:
bn = base.batch_normalisation(input_x)._keras_history[0]
assert isinstance(bn, keras.layers.normalization.BatchNormalization)
assert bn.name == "Block_0a_BN"
+
+ def test_padding_layer_zero_padding(self, base, input_x):
+ base.part_of_block += 2
+ padding_size = ((1, 1), (0, 0))
+ zp = base.padding_layer('ZeroPad2D')
+ assert zp.__name__ == 'ZeroPadding2D'
+ zp_ap = zp(padding=padding_size)(input_x)
+ assert zp_ap._keras_history[0].padding == ((1, 1), (0, 0))
+ print('abc')
+
--
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