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