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| author | Colm Donelan <colm.donelan@arm.com> | 2022-05-19 12:32:21 +0100 |
|---|---|---|
| committer | Cathal Corbett <cathal.corbett@arm.com> | 2022-05-24 10:05:30 +0000 |
| commit | bd4491b4ba57612b8aa3a9302a4069abe2817fae (patch) | |
| tree | 9a086cdef8a9a1c2885cbb3b7692a606025f06d0 /python/pyarmnn/test | |
| parent | 9b8fb3ecc3d1a05fe852f9cf16576b8e31d68f3c (diff) | |
| download | armnn-bd4491b4ba57612b8aa3a9302a4069abe2817fae.tar.gz | |
IVGCVSW-6550 Synchronize include/armnn and PyArmNN swig modules.
* armnn_network.i: IVGCVSW-6127 ConstTensorsAsInput:
DepthwiseConvolution2d.
* armnn_descriptors.i: IVGCVSW-6127 ConstTensorsAsInput:
DepthwiseConvolution2d. MLCE-604 Add Unidirectional Sequence
Lstm support to TFLite. MLCE-530 Add support for
UnidirectionalSequenceLstm to RefWorkload
Signed-off-by: Colm Donelan <colm.donelan@arm.com>
Change-Id: I0c054db17dbf9a1eb14c12d1fd1337f8003a92d3
Diffstat (limited to 'python/pyarmnn/test')
| -rw-r--r-- | python/pyarmnn/test/test_network.py | 28 |
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(), |