t.Errorf("%s, bounds differ: %v and %v", tc.filename, m0.Bounds(), m1.Bounds())
			continue
		}
		// Compare the average delta to the tolerance level.
		avgDelta := averageDelta(m0, m1)
		if avgDelta > tc.tolerance {
			t.Errorf("%s: average delta is too high. expected: %d, got %d", tc.filename, tc.tolerance, avgDelta)
			continue
		}
	}
}

func TestSubImage(t *testing.T) {
	m0, err := readImg("../testdata/video-001.gif")

    mlir::TFL::NumericVerifyOp op, const std::vector<int32_t>& operands,
    const std::vector<int32_t>& results) {
  float tolerance = op.getTolerance().convertToFloat();
  bool log_if_failed = op.getLogIfFailed();
  auto fbb = std::make_unique<flexbuffers::Builder>();
  fbb->Map([&]() {
    fbb->Float("tolerance", tolerance);
    fbb->Bool("log_if_failed", log_if_failed);
  });
  fbb->Finish();

    above tolerance exist. If log_if_failed = false, then it doesn't care about
    errors.
  }];

  let arguments = (ins
    TFL_TensorOf<[QI8, QUI8, QI16, F16, TFL_Quint8]>:$input,
    TFL_TensorOf<[F32]>:$ref,

    // Attributes
    DefaultValuedOptionalAttr<F32Attr, "0.1">:$tolerance,
    DefaultValuedOptionalAttr<BoolAttr, "false">:$log_if_failed
  );

		defer func() {
			c.rwc.SetWriteDeadline(time.Now().Add(d))
		}()
	}

	c.r.setReadLimit(c.server.initialReadLimitSize())
	if c.lastMethod == "POST" {
		// RFC 7230 section 3 tolerance for old buggy clients.
		peek, _ := c.bufr.Peek(4) // ReadRequest will get err below
		c.bufr.Discard(numLeadingCRorLF(peek))
	}
	req, err := readRequest(c.bufr)
	if err != nil {
		if c.r.hitReadLimit() {

    register a dataset with the tf.data service, and another process to consume
    data from the dataset.
*   Adds support for dispatcher fault tolerance. To enable fault tolerance,
    configure a `work_dir` when running your dispatcher server and set
    `dispatcher_fault_tolerance=True`. The dispatcher will store its state to

}

def TF_ApproximateEqualOp : TF_Op<"ApproximateEqual", [Commutative, Pure]> {
  let summary = "Returns the truth value of abs(x-y) < tolerance element-wise.";

  let arguments = (ins
    TF_NumberTensor:$x,
    TF_NumberTensor:$y,

    DefaultValuedOptionalAttr<F32Attr, "1e-05f">:$tolerance
  );

  let results = (outs
    TF_BoolTensor:$z
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;

						},
					},
					"HorizontalPodAutoscalerTolerance": {
						SchemaProps: spec.SchemaProps{
							Description: "HorizontalPodAutoscalerTolerance is the tolerance for when resource usage suggests upscaling/downscaling",
							Default:     0,
							Type:        []string{"number"},
							Format:      "double",
						},
					},