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+# tflchef
+
+## What is tflchef?
+
+Do you need a tensorflow lite model for testing? Ask it to _tflchef_.
+Given a recipe, _tflchef_ will cook a tensorflow lite model for you.
+
+**NOTE** A model that _tflchef_ generates is compatible with TensorFlow Lite in TensorFlow v1.12.0 release
+
+## Tutorial: How to use?
+
+This example explains how to generate a tensorflow lite model with a single Conv2D operation
+with a kernel filled with random values generated according to normal (or gaussian) distribution (mean = 0.0f / stddev = 1.0f) and bias with constant values (1.1f) with _tflchef_.
+
+The first step is to write a recipe!
+Type the following command, and then you may get ``sample.recipe``:
+```
+$ cat > sample.recipe <<END
+operand {
+  name: "ifm"
+  type: FLOAT32
+  shape { dim: 1 dim: 3 dim: 3 dim: 2 }
+}
+operand {
+  name: "ker"
+  type: FLOAT32
+  shape { dim: 1 dim: 1 dim: 1 dim: 2 }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "bias"
+  type: FLOAT32
+  shape { dim: 1 }
+  filler {
+    tag: "constant"
+    arg: "1.1"
+  }
+}
+operand {
+  name: "ofm"
+  type: FLOAT32
+  shape { dim: 1 dim: 3 dim: 3 dim: 1 }
+}
+operation {
+  type: "Conv2D"
+  conv2d_options {
+    padding: VALID
+    stride_w: 1
+    stride_h: 1
+  }
+  input: "ifm"
+  input: "ker"
+  input: "bias"
+  output: "ofm"
+}
+input: "ifm"
+input: "ker"
+output: "ofm"
+END
+```
+
+Generate ``sample.tflite`` from ``sample.recipe`` with one of the following commands:
+- With redirection
+```
+$ cat sample.recipe | tflchef > sample.tflite
+```
+- Without redirection
+```
+$ tflchef-file sample.recipe sample.tflite
+```
+
+Done :)