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+# WASI-NN
+
+## How to use
+
+Enable WASI-NN in the WAMR by spefiying it in the cmake building configuration as follows,
+
+```
+set (WAMR_BUILD_WASI_NN  1)
+```
+
+The definition of the functions provided by WASI-NN is in the header file `core/iwasm/libraries/wasi-nn/wasi_nn.h`.
+
+By only including this file in your WASM application you will bind WASI-NN into your module.
+
+## Tests
+
+To run the tests we assume that the current directory is the root of the repository.
+
+
+### Build the runtime
+
+Build the runtime image for your execution target type.
+
+`EXECUTION_TYPE` can be:
+* `cpu`
+* `nvidia-gpu`
+* `vx-delegate`
+
+```
+EXECUTION_TYPE=cpu
+docker build -t wasi-nn-${EXECUTION_TYPE} -f core/iwasm/libraries/wasi-nn/test/Dockerfile.${EXECUTION_TYPE} .
+```
+
+
+### Build wasm app
+
+```
+docker build -t wasi-nn-compile -f core/iwasm/libraries/wasi-nn/test/Dockerfile.compile .
+```
+
+```
+docker run -v $PWD/core/iwasm/libraries/wasi-nn:/wasi-nn wasi-nn-compile
+```
+
+
+### Run wasm app
+
+If all the tests have run properly you will the the following message in the terminal,
+
+```
+Tests: passed!
+```
+
+* CPU
+
+```
+docker run \
+    -v $PWD/core/iwasm/libraries/wasi-nn/test:/assets wasi-nn-cpu \
+    --dir=/assets \
+    --env="TARGET=cpu" \
+    /assets/test_tensorflow.wasm
+```
+
+* (NVIDIA) GPU
+
+```
+docker run \
+    --runtime=nvidia \
+    -v $PWD/core/iwasm/libraries/wasi-nn/test:/assets wasi-nn-nvidia-gpu \
+    --dir=/assets \
+    --env="TARGET=gpu" \
+    /assets/test_tensorflow.wasm
+```
+
+* vx-delegate for NPU (x86 simulater)
+
+```
+docker run \
+    -v $PWD/core/iwasm/libraries/wasi-nn/test:/assets wasi-nn-vx-delegate \
+    --dir=/assets \
+    --env="TARGET=gpu" \
+    /assets/test_tensorflow.wasm
+```
+
+
+
+Requirements:
+* [NVIDIA docker](https://github.com/NVIDIA/nvidia-docker).
+
+## What is missing
+
+Supported:
+
+* Graph encoding: `tensorflowlite`.
+* Execution target: `cpu` and `gpu`.
+* Tensor type: `fp32`.