{"ResultNoRows", Var, 0},
		{"Rows", Type, 0},
		{"RowsAffected", Type, 0},
		{"RowsColumnTypeDatabaseTypeName", Type, 8},
		{"RowsColumnTypeLength", Type, 8},
		{"RowsColumnTypeNullable", Type, 8},
		{"RowsColumnTypePrecisionScale", Type, 8},
		{"RowsColumnTypeScanType", Type, 8},
		{"RowsNextResultSet", Type, 8},
		{"SessionResetter", Type, 10},
		{"Stmt", Type, 0},
		{"StmtExecContext", Type, 8},

for dtype in dtype_list:
  lhs = tf.constant([-1, -5, -3, -14], dtype=dtype)
  rhs = tf.constant([5, 0, 7, 11], dtype=dtype)

  right_shift_result = bitwise_ops.right_shift(lhs, rhs)

  print(right_shift_result)

# This will print:
# tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int8)
# tf.Tensor([-1 -5 -1 -1], shape=(4,), dtype=int16)

				t.Errorf("wrong names result: %v", names)
			}
			for i, err := range errs {
				expErr := tc.errs[i]
				if err.Type != expErr.etype {
					t.Errorf("unexpected error type:\n\twant: %q\n\t got: %q", expErr.etype, err.Type)
				}
				if !strings.HasSuffix(err.Field, "."+expErr.field) {
					t.Errorf("unexpected error field:\n\twant: %q\n\t got: %q", expErr.field, err.Field)
				}

        }
        attr {
          name: "dtype"
          type: "type"
        }
        attr {
          name: "shape"
          type: "shape"
          default_value {
            shape {
              unknown_rank: true
            }
          }
        }
      }
      op {
        name: "RestoreV2"
        input_arg {
          name: "prefix"
          type: DT_STRING

        the layer's dtype. If you had a model that used `float64`, it will
        probably silently use `float32` in TensorFlow2, and a warning will be
        issued that starts with Layer "layer-name" is casting an input tensor
        from dtype float64 to the layer's dtype of float32. To fix, either set
        the default dtype to float64 with

text-transform: none;\n}\n\nselect {\n  word-wrap: normal;\n}\n\nbutton,\n[type=\"button\"],\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button;\n}\n\nbutton:not(:disabled),\n[type=\"button\"]:not(:disabled),\n[type=\"reset\"]:not(:disabled),\n[type=\"submit\"]:not(:disabled) {\n  cursor: pointer;\n}\n\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n...

text-transform: none;\n}\n\nselect {\n  word-wrap: normal;\n}\n\nbutton,\n[type=\"button\"],\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button;\n}\n\nbutton:not(:disabled),\n[type=\"button\"]:not(:disabled),\n[type=\"reset\"]:not(:disabled),\n[type=\"submit\"]:not(:disabled) {\n  cursor: pointer;\n}\n\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n...