gistfile1.txt

$ python ./min_repro.py 
/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
Using TensorFlow backend.
WARNING:tensorflow:From /usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
loading model...
/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/keras/models.py:255: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.
  warnings.warn('No training configuration found in save file: '
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
resnet50 (Model)             (None, None, None, 2048)  23587712  
_________________________________________________________________
reshape_2 (Reshape)          (None, 1, 1, 2048)        0         
_________________________________________________________________
sequential_2 (Sequential)    (None, 133)               272517    
=================================================================
Total params: 23,860,229
Trainable params: 23,807,109
Non-trainable params: 53,120
_________________________________________________________________
preds(1, 133)
about to run tfjs.converters.load_keras_model('./letstry3/model.json')
Traceback (most recent call last):
  File "./min_repro.py", line 36, in <module>
    model_prime = tfjs.converters.load_keras_model('./letstry3/model.json')
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflowjs/converters/keras_tfjs_loader.py", line 208, in load_keras_model
    use_unique_name_scope=use_unique_name_scope)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflowjs/converters/keras_tfjs_loader.py", line 75, in _deserialize_keras_model
    model.set_weights(weights_list)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/keras/models.py", line 719, in set_weights
    self.model.set_weights(weights)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/keras/engine/topology.py", line 2027, in set_weights
    K.batch_set_value(tuples)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 2365, in batch_set_value
    assign_op = x.assign(assign_placeholder)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 609, in assign
    return state_ops.assign(self._variable, value, use_locking=use_locking)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/ops/state_ops.py", line 281, in assign
    validate_shape=validate_shape)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_state_ops.py", line 61, in assign
    use_locking=use_locking, name=name)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3292, in create_op
    compute_device=compute_device)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3332, in _create_op_helper
    set_shapes_for_outputs(op)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2496, in set_shapes_for_outputs
    return _set_shapes_for_outputs(op)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2469, in _set_shapes_for_outputs
    shapes = shape_func(op)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2399, in call_with_requiring
    return call_cpp_shape_fn(op, require_shape_fn=True)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 627, in call_cpp_shape_fn
    require_shape_fn)
  File "/usr/local/google/home/bileschi/env/a/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 691, in _call_cpp_shape_fn_impl
    raise ValueError(err.message)
ValueError: Shapes must be equal rank, but are 1 and 2 for 'Assign_212' (op: 'Assign') with input shapes: [64], [2048,133].