Updated steps numbers from 13. 12 was duplicate

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Carlos Hernandez-Vaquero 2020-06-07 17:56:10 +02:00 committed by GitHub
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@ -301,7 +301,7 @@ successfully run.
TF_LITE_MICRO_EXPECT_EQ(kTfLiteOk, invoke_status);
```
### 12. Obtain the output
### 13. Obtain the output
The model's output tensor can be obtained by calling `output(0)` on the
`tflite::MicroInterpreter`, where `0` represents the first (and only) output
@ -328,7 +328,7 @@ float value = output->data.f[0];
TF_LITE_MICRO_EXPECT_NEAR(0., value, 0.05);
```
### 13. Run inference again
### 14. Run inference again
The remainder of the code runs inference several more times. In each instance,
we assign a value to the input tensor, invoke the interpreter, and read the
@ -351,7 +351,7 @@ value = output->data.f[0];
TF_LITE_MICRO_EXPECT_NEAR(-0.959, value, 0.05);
```
### 14. Read the application code
### 15. Read the application code
Once you have walked through this unit test, you should be able to understand
the example's application code, located in