{"uint32", "8", "panic: 8"},
		{"uint64", "8", "panic: 8"},
		{"uintptr", "8", "panic: 8"},
		{"bool", "true", "panic: true"},
		{"complex64", "8 + 16i", "panic: (+8.000000e+000+1.600000e+001i)"},
		{"complex128", "8+16i", "panic: (+8.000000e+000+1.600000e+001i)"},
		{"string", `"test"`, "panic: test"}} {

		b := bytes.Buffer{}
		fmt.Fprintf(&b, fn, tc.Type, tc.Input)

		err = ioutil.WriteFile(tmpFile, b.Bytes(), 0644)

{
	"id": "0001",
	"type": "donut",
	"name": "Cake",
	"ppu": 0.55,
	"batters":
		{
			"batter":
				[
					{ "id": "1001", "type": "Regular" },
					{ "id": "1002", "type": "Chocolate" },
					{ "id": "1003", "type": "Blueberry" },
					{ "id": "1004", "type": "Devil's Food" }
				]
		},
	"topping":
		[
			{ "id": "5001", "type": "None" },
			{ "id": "5002", "type": "Glazed" },
			{ "id": "5005", "type": "Sugar" },

	}
	totalRPS, fErr := strconv.ParseFloat(fields[1], 32)
	if fErr != nil {
		t.Logf("Expected column 2 to show totalRPS, got %#v", fields)
		return fErr
	}
	if totalRPS <= 0.001 {
		t.Logf("Expected column 2 to show totalRPS more than 0.001, got %#v", fields)
		return errors.New("unexpected output (incorrect RPS)")
	}
	return nil

Our aim is to keep the process lightweight and approachable.

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package main

import "fmt"

var a = []int64{
	0.0005 * 1e9,
	0.001 * 1e9,
	0.005 * 1e9,
	0.01 * 1e9,
	0.05 * 1e9,
	0.1 * 1e9,
	0.5 * 1e9,
	1 * 1e9,
	5 * 1e9,
}

func main() {
	s := ""
	for _, v := range a {
		s += fmt.Sprint(v) + " "
	}

      tf_executor.fetch %1#0, %1#1 : tensor<*xf32>, tensor<2x4x6x8xi32>
    }
    func.return %0#0, %0#1 : tensor<*xf32>, tensor<2x4x6x8xi32>
  }
}

import static org.junit.jupiter.api.Assertions.assertEquals;

class CLIReportingUtilsTest {

    @Test
    void testFormatDuration() {
        assertEquals("0.001 s", CLIReportingUtils.formatDuration(1));
        assertEquals("0.999 s", CLIReportingUtils.formatDuration(1000 - 1));
        assertEquals("1.000 s", CLIReportingUtils.formatDuration(1000));
        assertEquals("59.999 s", CLIReportingUtils.formatDuration(60 * 1000 - 1));

      tf_executor.fetch %outputs#1, %outputs#0 : tensor<2x2x1x2xi32>, tensor<2x2x1x2xf32>
    }
    func.return %0#0, %0#1 : tensor<2x2x1x2xi32>, tensor<2x2x1x2xf32>
  }
}

// CHECK:        name: "serving_default_x"
// CHECK-NEXT:   op: "_Arg"

// CHECK:        name: "tf.MaxPoolWithArgmax"
// CHECK-NEXT:   op: "MaxPoolWithArgmax"

      } : () -> (tensor<!tf_type.string>, tensor<2x!tf_type.string>)
      tf_device.return %0#0, %0#1 : tensor<!tf_type.string>, tensor<2x!tf_type.string>

# CHECK: %[[output:.*]], %[[control:.*]]tf_executor.island wraps "tf.ParseExample"
# CHECK: operandSegmentSizes = array<i32: 1, 1, 0, 1, 1>
# CHECK: resultSegmentSizes = array<i32: 0, 0, 0, 1>
# CHECK: tf_executor.fetch %[[output]] : tensor<*xi64>

node {
  name: "serilaized"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_STRING
    }
  }
  attr {
    key: "value"