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# tflite_run
A simple Tensorflow Lite runner. It measures the elapsed time and optionally dump the input/output tensors or verify them.
## Usage
### Simple run
This will run with random input data
```
$ ./tflite_run model.tflite
```
Output would look like:
```
input tensor indices = [0,]
Input image size is smaller than the size required by the model. Input will not be set.
output tensor indices = [308(max:984),]
Prepare takes 0.00126718 seconds
Invoke takes 7.09527 seconds
```
### Specifying input feature map
We can specify input feature map, but it only accepts preprocessed data which means that the image files must be converted.
TODO : Add input image preprocessing instruction
```
$ ./tflite_run model.tflite -i binary_input_file
```
### Dump the input and output tensors
Dump the input and output tensors to a file.
```
$ ./tflite_run model.tflite --dump golden
```
Why we do this is usually for later verification. The tensors are written to name "golden".
### Compare with the saved outputs
The result from `tflite_run` and binary file are compared with `--compare` option.
```
$ ls golden
golden
$ ./tflite_run model.tflite --compare golden
```
The output would look like:
```
input tensor indices = [0,]
Input image size is smaller than the size required by the model. Input will not be set.
output tensor indices = [308(max:984),]
Prepare takes 0.00126718 seconds
Invoke takes 7.09527 seconds
========================================
Comparing the results with "golden2".
========================================
Tensor #308: UNMATCHED
1 diffs are detected
Max absolute diff at [0, 0]
expected: 99
obtained: 0.000139008
absolute diff: 98.9999
Max relative diff at [0, 1007]
expected: 7.01825e-33
obtained: 0.000139011
relative diff: 1
(tolerance level = 8.38861e+06)
```
If `--compare` option is on, the exit code will be depend on its compare result. 0 for matched, other number for unmatched.
## How Verification Works
For verification, we may follow these steps:
1. Generate and store the verfication data (run with option `--dump`)
1. Input Tensor does not matter as we will keep inputs along with outputs
1. Interpreter.Invoke()
1. Dump input tensors and output tensors to a file
1. Give the dumped file for other runtime that we want to verify (run with option `--compare`)
1. Set interpreter's input to input tensor data from the file
1. Interpreter.Invoke()
1. Compare the results with output tensor data from the file
|
