CV_Assert(layer.input_size() == 3);
DictValue dilation = parseDims(getConstBlob(layer, value_id, 1));
- CV_Assert(dilation.size() == 2 && dilation.get<int>(0) == dilation.get<int>(1));
- layerParams.set("dilation", dilation.get<int>(0));
+ CV_Assert(dilation.size() == 2);
+ layerParams.set("dilation_h", dilation.get<int>(0));
+ layerParams.set("dilation_w", dilation.get<int>(1));
Mat paddings;
parseTensor<int>(getConstBlob(layer, value_id, 2), paddings);
layerParams.set("pad_w", paddings.at<float>(2));
StrIntVector next_layers = getNextLayers(net, name, "Conv2D");
+ if (next_layers.empty())
+ {
+ next_layers = getNextLayers(net, name, "DepthwiseConv2dNative");
+ }
CV_Assert(next_layers.size() == 1);
layer = net.node(next_layers[0].second);
layers_to_ignore.insert(next_layers[0].first);
runTensorFlowNet("atrous_conv2d_valid", targetId);
runTensorFlowNet("atrous_conv2d_same", targetId);
runTensorFlowNet("depthwise_conv2d", targetId);
+ runTensorFlowNet("keras_atrous_conv2d_same", targetId);
}
TEST_P(Test_TensorFlow_layers, padding)