UnimplementedError (see above for traceback): Only bilinear interpolation is currently supported. The input data shape must be [batch_size, data_height, data_width, data_channels]

[mobiiin]

I get the following error when I run the feature_extraction node:

2021-08-31 16:40:08.903497: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
[INFO] [1630411812.601658]: /cam1/image_raw: no message received
Exception in thread Thread-6:
Traceback (most recent call last):
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call
    return fn(*args)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.UnimplementedError: Only bilinear interpolation is currently supported. The input data shape must be [batch_size, data_height, data_width, data_channels], but is: [1,460,256]
	 [[{{node resampler/Resampler}} = Resampler[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](pred/descriptor_sampling/l2_normalize, mul)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/lib/python3.6/threading.py", line 916, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.6/threading.py", line 864, in run
    self._target(*self._args, **self._kwargs)
  File "/home/mobiiin/catkin_ws/src/deep_features/feature_extraction/feature_extraction_node.py", line 94, in worker
    self.process(msg, topic)
  File "/home/mobiiin/catkin_ws/src/deep_features/feature_extraction/feature_extraction_node.py", line 158, in process
    features = self.net.infer(image_gray)
  File "/home/mobiiin/git/deep_features/feature_extraction/hfnet_tf.py", line 107, in infer
    feed_dict = {self.net_image_in: image_in})
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
    run_metadata_ptr)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _run
    feed_dict_tensor, options, run_metadata)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
    run_metadata)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.UnimplementedError: Only bilinear interpolation is currently supported. The input data shape must be [batch_size, data_height, data_width, data_channels], but is: [1,460,256]
	 [[node resampler/Resampler (defined at /home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/contrib/resampler/ops/gen_resampler_ops.py:43)  = Resampler[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](pred/descriptor_sampling/l2_normalize, mul)]]

Caused by op 'resampler/Resampler', defined at:
  File "/home/mobiiin/catkin_ws/src/deep_features/feature_extraction/feature_extraction_node.py", line 200, in <module>
    main()
  File "/home/mobiiin/catkin_ws/src/deep_features/feature_extraction/feature_extraction_node.py", line 42, in main
    net = FeatureNet()
  File "/home/mobiiin/git/deep_features/feature_extraction/hfnet_tf.py", line 46, in __init__
    self.scaling_op[::-1] * tf.to_float(self.keypoints)[None]),
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/contrib/resampler/python/ops/resampler_ops.py", line 59, in resampler
    return gen_resampler_ops.resampler(data_tensor, warp_tensor)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/contrib/resampler/ops/gen_resampler_ops.py", line 43, in resampler
    "Resampler", data=data, warp=warp, name=name)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 488, in new_func
    return func(*args, **kwargs)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3274, in create_op
    op_def=op_def)
  File "/home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1770, in __init__
    self._traceback = tf_stack.extract_stack()

UnimplementedError (see above for traceback): Only bilinear interpolation is currently supported. The input data shape must be [batch_size, data_height, data_width, data_channels], but is: [1,460,256]
	 [[node resampler/Resampler (defined at /home/mobiiin/.local/lib/python3.6/site-packages/tensorflow/contrib/resampler/ops/gen_resampler_ops.py:43)  = Resampler[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](pred/descriptor_sampling/l2_normalize, mul)]]

[wangy-w]

Hello, I have also encountered the same problem. Have you resolved it！