tensorflow/models · error · ValueError

The resnet_depth should be in [%s]. Not a valid resnet_depth

Error message

The resnet_depth should be in [%s]. Not a valid resnet_depth:

What it means

Error "The resnet_depth should be in [%s]. Not a valid resnet_depth:" thrown in tensorflow/models.

Source

Thrown at official/legacy/detection/modeling/architecture/resnet.py:94

        },
        101: {
            'block': self.bottleneck_block,
            'layers': [3, 4, 23, 3]
        },
        152: {
            'block': self.bottleneck_block,
            'layers': [3, 8, 36, 3]
        },
        200: {
            'block': self.bottleneck_block,
            'layers': [3, 24, 36, 3]
        }
    }

    if resnet_depth not in model_params:
      valid_resnet_depths = ', '.join(
          [str(depth) for depth in sorted(model_params.keys())])
      raise ValueError(
          'The resnet_depth should be in [%s]. Not a valid resnet_depth:' %
          (valid_resnet_depths), self._resnet_depth)
    params = model_params[resnet_depth]
    self._resnet_fn = self.resnet_v1_generator(params['block'],
                                               params['layers'])

  def __call__(self, inputs, is_training=None):
    """Returns the ResNet model for a given size and number of output classes.

    Args:
      inputs: a `Tesnor` with shape [batch_size, height, width, 3] representing
        a batch of images.
      is_training: `bool` if True, the model is in training mode.

    Returns:
      a `dict` containing `int` keys for continuous feature levels [2, 3, 4, 5].
      The values are corresponding feature hierarchy in ResNet with shape
      [batch_size, height_l, width_l, num_filters].

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/detection/modeling/architecture/resnet.py:94 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/10c203f8a8253413. Report an issue: GitHub.