Avoid deeply nested control flow statements.

Open

          if model_options.add_image_level_feature:
            if model_options.crop_size is not None:
              image_pooling_crop_size = model_options.image_pooling_crop_size
              # If image_pooling_crop_size is not specified, use crop_size.
              if image_pooling_crop_size is None:

Avoid deeply nested control flow statements.

Open

          if decoder_stage:
            scope_suffix = '_{}'.format(decoder_stage)
          for i, name in enumerate(feature_list):

Avoid deeply nested control flow statements.

Open

            for i in range(num_frames):
              frame_id = '%.10d' % i
              all_frames.append(dr + ' ' + cam + ' ' + frame_id)

Avoid deeply nested control flow statements.

Open

          if model_options.atrous_rates:
            # Employ 3x3 convolutions with different atrous rates.
            for i, rate in enumerate(model_options.atrous_rates, 1):
              scope = ASPP_SCOPE + str(i)
              if model_options.aspp_with_separable_conv:

Function _convert_dataset has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def _convert_dataset(dataset_split, dataset_dir, dataset_label_dir):
  """Converts the ADE20k dataset into into tfrecord format.

  Args:
    dataset_split: Dataset split (e.g., train, val).

• Read up
  Read up

Avoid deeply nested control flow statements.

Open

            if i == j or abs(i - j) != 1:
              continue
            # In legacy mode, only consider the middle frame as target.
            if self.legacy_mode and j != self.middle_frame_index:

Function conv2d has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def conv2d(inputs,
           num_outputs,
           kernel_size,
           stride=1,
           padding='SAME',

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Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def __init__(self, data_dir, batch_size, img_height, img_width, seq_length,

Avoid deeply nested control flow statements.

Open

          if backbone[cell_num - 1] == 3 and nas_remove_os32_stride:
            # No need to rescale features.
            pass
          else:
            # Scale features by a factor of 2.

Avoid deeply nested control flow statements.

Open

            if self.icp_weight > 0:
              cloud_a = self.cloud[j][s]
              cloud_b = self.cloud[i][s]
              self.icp_transform[s][key], self.icp_residual[s][key] = icp(
                  cloud_a, egomotion, cloud_b)

Avoid deeply nested control flow statements.

Open

            for output in outputs_to_num_classes:
              scales_to_logits = outputs_to_scales_to_logits[output]
              self.assertListEqual(sorted(scales_to_logits.keys()),
                                   sorted(expected_endpoints[i]))

Avoid deeply nested control flow statements.

Open

            if output_stride is None:
              factor = 1
            else:
              factor = nominal_stride // output_stride
            output = resnet_utils.subsample(output, factor)

Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def __init__(self,

Avoid deeply nested control flow statements.

Open

            if self.legacy_mode:
              if egomotion_index >= self.middle_frame_index:
                egomotion_mult *= -1
            egomotion = egomotion_mult * self.egomotion[:, egomotion_index, :]

Avoid deeply nested control flow statements.

Open

          for i, name in enumerate(feature_list):
            decoder_features_list = [decoder_features]
            # MobileNet and NAS variants use different naming convention.
            if ('mobilenet' in model_variant or
                model_variant.startswith('mnas') or

Avoid deeply nested control flow statements.

Open

          if output_stride % 4 != 0:
            raise ValueError('The output_stride needs to be a multiple of 4.')
          output_stride //= 4

Avoid deeply nested control flow statements.

Open

          if output_stride != 1:
            stride = 2
            output_stride //= 2
          else:
            stride = 1

Avoid deeply nested control flow statements.

Open

            if self.legacy_mode and j != self.middle_frame_index:
              continue
            source = self.images[s][:, :, :, 3 * i:3 * (i + 1)]

Function _build_metric has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def _build_metric(metric,

Function _pnasnet has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

  def _pnasnet(self,