"type": "string"
          },
          "verbs": {

            "type": "string"
          },
          "verbs": {

	for za0003 := range z.Parts {
		err = z.Parts[za0003].DecodeMsg(dc)
		if err != nil {
			err = msgp.WrapError(err, "Parts", za0003)
			return
		}
	}
	err = z.Erasure.DecodeMsg(dc)
	if err != nil {
		err = msgp.WrapError(err, "Erasure")
		return
	}
	z.MarkDeleted, err = dc.ReadBool()
	if err != nil {
		err = msgp.WrapError(err, "MarkDeleted")
		return
	}

	}
}

func TestQueryNamedArg(t *testing.T) {
	db := newTestDB(t, "people")
	defer closeDB(t, db)
	prepares0 := numPrepares(t, db)
	rows, err := db.Query(
		// Ensure the name and age parameters only match on placeholder name, not position.
		"SELECT|people|age,name|name=?name,age=?age",
		Named("age", 2),
		Named("name", "Bob"),
	)
	if err != nil {
		t.Fatalf("Query: %v", err)

            "type": "string"
          },
          "verbs": {

            "type": "string"
          },
          "verbs": {

            "type": "string"
          },
          "verbs": {

      }
    }
    ```

    This way, the first convolution with 3 feature dimension will be transformed
    to 12 feature dimension, which has better performance on TPU.
  }];

  let constructor = "TFTPU::CreateTPUSpaceToDepthPass()";
}

            "type": "string"
          },
          "verbs": {

            "type": "string"
          },
          "verbs": {