tensorflow/models · error · ValueError
Upsampling type {} is not supported.
Error message
Upsampling type {} is not supported. What it means
Error "Upsampling type {} is not supported." thrown in tensorflow/models.
Source
Thrown at official/projects/edgetpu/vision/modeling/heads/bifpn_head.py:215
feat = tf.reshape(feat, [-1, 1, w, c])
feat = tf.image.resize(feat, [1, target_width])
feat = tf.reshape(feat, [b, target_height, target_width, c])
else:
feat = tf.image.resize(feat, [target_height, target_width])
else:
feat = tf.image.resize(feat, [target_height, target_width])
elif method == 'nearest':
_, h, w, _ = feat_shape.as_list()
if training and target_height % h == 0 and target_width % w == 0:
feat = resize_nearest_neighbor(feat, target_height // h,
target_width // w)
else:
feat = tf.cast(feat, tf.float32)
feat = tf.image.resize(feat, [target_height, target_width],
tf.image.ResizeMethod.NEAREST_NEIGHBOR)
else:
raise ValueError('Upsampling type {} is not supported.'.format(method))
return tf.cast(feat, dtype)
class ResampleFeatureMap(tf_keras.layers.Layer):
"""Resamples feature map for downsampling or upsampling."""
def __init__(self,
feat_level,
target_num_channels,
apply_bn=False,
is_training_bn=None,
conv_after_downsample=False,
strategy=None,
data_format=None,
pooling_type=None,
upsampling_type=None,
name='resample_p0'):
super().__init__(name=name)View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/projects/edgetpu/vision/modeling/heads/bifpn_head.py:215 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/fb460f7e3e7ac8e7.
Report an issue: GitHub.