class_docstr: Testing conversion of strided Conv2D (data_format=NCHW).
class_docstr_tok: ["Testing","conversion","of","strided","Conv2D","(","data_format=NCHW",")","."]
code: def GraphFn(self, inp):
      np.random.seed(1234)
      num_filters = 5
      output = inp
      output = conv2d_layer(
          output,
          num_filters,
          (3, 2),
          strides=(2, 2),
          padding="same",
          data_format="channels_first",
      )
      output = conv2d_layer(
          output,
          num_filters,
          (3, 3),
          strides=(2, 2),
          dilation_rate=(2, 3),
          padding="same",
          data_format="channels_first",
      )
      return array_ops.identity(output, name="output_0")
  
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 1 for calling the Conv2DStridedNCHWTest obj's underlying member method code with example usage: obj.GraphFn(inp) and returns: array_ops