func extractDockerImage(img v1.Image) ([]byte, error) {
	layers, err := img.Layers()
	if err != nil {
		return nil, fmt.Errorf("could not fetch layers: %v", err)
	}

	// The image must have at least one layer.
	if len(layers) == 0 {
		return nil, errors.New("number of layers must be greater than zero")
	}

	layer := layers[len(layers)-1]
	mt, err := layer.MediaType()
	if err != nil {

// CHECK: -------- Quantization Summary --------
// CHECK: Number of quantized layers in the model
// CHECK: --------------------------------
// CHECK: Name    Count/Total
// CHECK: ================================
// CHECK: Conv2D  1/1

// CHECK: Number of quantized layers with quantized outputs: 0/1
// CHECK: Number of quantize layers added: 1
// CHECK: Number of dequantize layers added: 0
}

// -----

// CHECK: -------- Quantization Summary --------
// CHECK: Number of quantized layers in the model
// CHECK: --------------------------------
// CHECK: Name    Count/Total
// CHECK: ================================
// CHECK: Conv2D  1/2

// CHECK: Number of quantized layers with quantized outputs: 1/1
// CHECK: Number of quantize layers added: 1
// CHECK: Number of dequantize layers added: 1
}

// -----

module {

			t.Fatal("extractOCIArtifactImage should fail due to invalid number of layers")
		}
	})

	t.Run("invalid media types", func(t *testing.T) {
		// Create the image with invalid media types.
		layer, err := random.Layer(1000, "aaa")
		if err != nil {
			t.Fatal(err)
		}
		img, err := mutate.Append(empty.Image, mutate.Addendum{Layer: layer}, mutate.Addendum{Layer: layer})
		if err != nil {

    // from DEBUGGER_TYPE_FLOAT_PER_LAYER). Each layer in the debugging model
    // has a DumpTensor, and it is used to save the entire value of outputs from
    // both the quantized and unquantized layer.
    DEBUGGER_TYPE_INT_PER_LAYER = 2;
    // DEBUGGER_TYPE_FLOAT_PER_LAYER creates a debugging model with both
    // quantized and unquantized layers. The unquantized layer's input come from

  },
  "layered_runtime": {
      "layers": [
          {
            "name": "global config",

  },
  "layered_runtime": {
      "layers": [
          {
            "name": "global config",

  },
  "layered_runtime": {
      "layers": [
          {
            "name": "global config",

  },
  "layered_runtime": {
      "layers": [
          {
            "name": "global config",

  },
  "layered_runtime": {
      "layers": [
          {
            "name": "global config",