|-- tests/
| |-- unittests Source files for Unit Tests
| |-- apptests Source files for App Tests
-| |-- utils Source files for Test Utils
-| `-- models NPU Model binaries from second/third-party repos
+| `-- utils Source files for Test Utils
|-- tools/ Useful tools or scripts
|-- packaging/ Tizen Packaging Files (i.e., FastModel Simulator)
|-- debian/ Debian Packaging Files (i.e., Ubuntu 16.04)
+++ /dev/null
-## tvn models from [NPU_Compiler](https://github.sec.samsung.net/AIP/NPU_Compiler)
-
-The below describes a short summary of tvn models, generated by `./NPU_Compiler/tools/vcc/tests/explain.sh`.
-Note that it includes valid tvn models only.
-
-```
-NAME SUMMARY
-000 Identity
-001 MaxPool
-NET_0000 MaxPool-MaxPool
-NET_0001 Placeholder-MaxPool-Conv2D-FakeQuant
-NET_0002 Placeholder-MaxPool--Conv2D------------Add-FakeQuant
-NET_0003 Convolution with excessive memory requirement (over 1MB)
-NET_0004 Padded Conv-BiasAdd-Relu with excessive memory requirement (over 1MB)
-NET_0006 First two residual blocks of RefineDet
-NET_0008 MaxPool-MaxPool network with large(1x40x20x512) input
-NET_0009 MaxPool network with large(1x320x320x64) input
-NET_0011 First Conv2DBackpropInput with constant network for input_sizes
-UNI_CONV_000 Conv-FakeQuantWithMinMaxVars
-UNI_CONV_001 Conv2D-BiasAdd
-UNI_CONV_002 Conv2D-BiasAdd-Relu
-UNI_CONV_003 Conv2D-FakeQuantWithMinMaxVars with non-zero weight
-UNI_CONV_004 Pad-Conv2D-BiasAdd-Relu-FakeQuantiWithMinMaxVars with non-zero weight
-UNI_CONV_005 Conv OFM is not a multiple of 64
-UNI_CONVE_000 Conv2D-BiasAdd-Add-Relu
-UNI_MAXP_000 MaxPool
-UNI_MAXP_001 Pad-MaxPool
-UNI_MAXP_002 Small MaxPool (input 2x2x64, filter 2x2, output 1x1x64)
-UNI_TCNV_000 Conv2DBackpropInput
-UNI_TCNV_001 Conv2DBackpropInput + BiasAdd
-```