aboutsummaryrefslogtreecommitdiff
path: root/python/pyarmnn/test/test_network.py
diff options
context:
space:
mode:
Diffstat (limited to 'python/pyarmnn/test/test_network.py')
-rw-r--r--python/pyarmnn/test/test_network.py28
1 files changed, 0 insertions, 28 deletions
diff --git a/python/pyarmnn/test/test_network.py b/python/pyarmnn/test/test_network.py
index 5522bf656d..ce1dffb86b 100644
--- a/python/pyarmnn/test/test_network.py
+++ b/python/pyarmnn/test/test_network.py
@@ -251,34 +251,6 @@ def test_serialize_to_dot_mode_readonly(network_file, get_runtime, tmpdir):
def test_network_method_exists(method):
assert getattr(ann.INetwork, method, None)
-def test_DepthwiseConvolution2d_layer_optional_none():
- net = ann.INetwork()
- layer = net.AddDepthwiseConvolution2dLayer(convolution2dDescriptor=ann.DepthwiseConvolution2dDescriptor(),
- weights=ann.ConstTensor())
-
- assert layer
-
-
-def test_DepthwiseConvolution2d_layer_optional_provided():
- net = ann.INetwork()
- layer = net.AddDepthwiseConvolution2dLayer(convolution2dDescriptor=ann.DepthwiseConvolution2dDescriptor(),
- weights=ann.ConstTensor(),
- biases=ann.ConstTensor())
-
- assert layer
-
-
-def test_DepthwiseConvolution2d_layer_all_args():
- net = ann.INetwork()
- layer = net.AddDepthwiseConvolution2dLayer(convolution2dDescriptor=ann.DepthwiseConvolution2dDescriptor(),
- weights=ann.ConstTensor(),
- biases=ann.ConstTensor(),
- name='NAME1')
-
- assert layer
- assert 'NAME1' == layer.GetName()
-
-
def test_Convolution2d_layer_optional_none():
net = ann.INetwork()
layer = net.AddConvolution2dLayer(convolution2dDescriptor=ann.Convolution2dDescriptor(),