Unsure which tensorflow version is used

[MarviB16]

Hi,

I get this error message when i am trying to run SIPs (with python infer_folder.py --in_dir=INPUT_DIR and python render_matching.py --ds=kt --val_best --testing)

Traceback (most recent call last):
File "sips2_open/render_matching.py", line 52, in
fps = [forward_passer(im) for im in pair.im]
File "/home/parallels/sips_ws/src/sips2_open/python/sips2/system.py", line 184, in call
self._graph.ff_output, feed_dict={self._graph.ff_input: batch})
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 950, in run
run_metadata_ptr)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1173, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1350, in _do_run
run_metadata)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1370, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.UnimplementedError: Generic conv implementation only supports NHWC tensor format for now.
[[node sips2/conv2d/Conv2D (defined at /tmp/tmp6HT9tk.py:12) ]]

Errors may have originated from an input operation.
Input Source operations connected to node sips2/conv2d/Conv2D:
sips2/conv2d/kernel/read (defined at /home/parallels/sips_ws/src/sips2_open/python/sips2/graph.py:61)
ExpandDims (defined at /home/parallels/sips_ws/src/sips2_open/python/sips2/graph.py:31)

Original stack trace for u'sips2/conv2d/Conv2D':
File "sips2_open/render_matching.py", line 47, in
graph, sess = hyperparams.modelFromCheckpoint()
File "/home/parallels/sips_ws/src/sips2_open/python/sips2/hyperparams.py", line 197, in modelFromCheckpoint
g = graph.Graph()
File "/home/parallels/sips_ws/src/sips2_open/python/sips2/graph.py", line 119, in init
raw_out = singleScaleNet(self.ff_input)
File "/home/parallels/sips_ws/src/sips2_open/python/sips2/graph.py", line 78, in singleScaleNet
return tf.squeeze(net(centerAndExpand(image_batch)), axis=1)
File "/home/parallels/sips_ws/src/sips2_open/python/sips2/graph.py", line 61, in net
data_format='channels_first')
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/layers/convolutional.py", line 424, in conv2d
return layer.apply(inputs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 1479, in apply
return self.call(inputs, *args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/layers/base.py", line 537, in call
outputs = super(Layer, self).call(inputs, *args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 634, in call
outputs = call_fn(inputs, *args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/autograph/impl/api.py", line 146, in wrapper
), args, kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/autograph/impl/api.py", line 450, in converted_call
result = converted_f(*effective_args, **kwargs)
File "/tmp/tmp6HT9tk.py", line 12, in tf__call
outputs = ag__.converted_call('convolution_op', self, ag_.ConversionOptions(recursive=True, force_conversion=False, optional_features=(), internal_convert_user_code=True), (inputs, self.kernel), None)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/autograph/impl/api.py", line 356, in converted_call
return _call_unconverted(f, args, kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/autograph/impl/api.py", line 255, in _call_unconverted
return f(*args)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/nn_ops.py", line 1079, in call
return self.conv_op(inp, filter)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/nn_ops.py", line 635, in call
return self.call(inp, filter)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/nn_ops.py", line 234, in call
name=self.name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/nn_ops.py", line 1953, in conv2d
name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 1071, in conv2d
data_format=data_format, dilations=dilations, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 3616, in create_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2005, in init
self._traceback = tf_stack.extract_stack()

From tensorflow.python.framework.errors_impl.UnimplementedError: Generic conv implementation only supports NHWC tensor format for now. i would guess that i use the wrong tensorflow version, though i tried 1.4.0, 1.14.0 and 2.0-nightly, but non work.

Could you maybe specify which tensorflow version was used?
Thanks.

[tcies]

Hi, yes I also ran into that the other day. This seems to be a very unfortunate thing that only happens with CPU. At some point, I have optimized the code for CuDNN, which can be done by switching the format from NHWC to NCHW, see https://jhui.github.io/2017/03/07/TensorFlow-Perforamnce-and-advance-topics/ .
Unfortunately, I only found out recently that NCHW does not work on CPU. If you have a GPU, you can solve this problem by switching to tensorflow-gpu.

Otherwise, the problem can be solved by switching the SIPS code back to NHWC. Shouldn't be too complicated, but I won't have time to do this in the foreseeable future. Also, I don't know if this wouldn't break the pretrained weights, though it's not too complicated to re-train them. If you or anyone else would like to help with that and create a pull request, you're very welcome!