{"runtime.slicerunetostring", 1},
	{"runtime.stringtoslicebyte", 1},
	{"runtime.stringtoslicerune", 1},
	{"runtime.slicecopy", 1},
	{"runtime.decoderune", 1},
	{"runtime.countrunes", 1},
	{"runtime.convT", 1},
	{"runtime.convTnoptr", 1},
	{"runtime.convT16", 1},
	{"runtime.convT32", 1},
	{"runtime.convT64", 1},
	{"runtime.convTstring", 1},
	{"runtime.convTslice", 1},
	{"runtime.assertE2I", 1},

      %outputs_6, %control_7 = tf_executor.island wraps "tf.Const"() {device = "", value = dense<[-1, 16384]> : tensor<2xi32>} : () -> tensor<2xi32>
      %outputs_8, %control_9 = tf_executor.island wraps "tf.Conv2D"(%arg0, %outputs_0) {data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 2, 2, 1], use_cudnn_on_gpu = true} : (tensor<16x224x224x3xf32>, tensor<*xf32>) -> tensor<16x112x112x?xf32>

    %1 = "quantfork.stats"(%arg0) {layerStats = dense<[1.27501142, 149.824783]> : tensor<2xf32>} : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3xf32>

			{{if .Set}}
				<span class="cov0">not covered</span>
				<span class="cov8">covered</span>
			{{else}}
				<span class="cov0">no coverage</span>
				<span class="cov1">low coverage</span>
				<span class="cov2">*</span>
				<span class="cov3">*</span>
				<span class="cov4">*</span>
				<span class="cov5">*</span>
				<span class="cov6">*</span>
				<span class="cov7">*</span>
				<span class="cov8">*</span>

// NEXT ID: 7
message UnitWiseQuantizationSpec {
  // Quantization unit granularity.
  // NEXT ID: 4
  message QuantizationUnit {
    // Type of the op, ex: Conv2D, MatMul, Einsum... The node_name field can
    // be omitted if it is intended to match all nodes with this type.
    string op_type = 1;
    // Name of the node. This field accepts re2 regex format. If the node name