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 :)