class_docstr: Testing conversion of Conv2D (data_format=NCHW) in TF-TRT conversion.
class_docstr_tok: ["Testing","conversion","of","Conv2D","(","data_format=NCHW",")","in","TF-TRT","conversion","."]
docstr: The absolute tolerance to compare floating point results.
docstr_tok: ["The","absolute","tolerance","to","compare","floating","point","results","."]
code: def ExpectedAbsoluteTolerance(self, run_params):
      """The absolute tolerance to compare floating point results."""
      if trt_test.IsQuantizationWithCalibration(run_params):
          return 4e-02
      return super(Conv2DNCHWTest, self).ExpectedAbsoluteTolerance(
          run_params
      )
  
imports: import numpy
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the Conv2DNCHWTest obj's underlying member method code with example usage: obj.ExpectedAbsoluteTolerance(run_params) and returns: super, int