Getiing ValueError: Shape must be rank 1 but is rank 0 when running rec_feat.py

[adityaguptai]

ValueError: Shape must be rank 1 but is rank 0 for 'bn1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64,1,1], [].

Full Stack Trace

Traceback (most recent call last): File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1567, in _create_c_op c_op = c_api.TF_FinishOperation(op_desc) tensorflow.python.framework.errors_impl.InvalidArgumentError: Shape must be rank 1 but is rank 0 for 'bn1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64,1,1], [].

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "rec-feat.py", line 13, in FRmodel = load_model('face-rec_Google.h5') File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/engine/saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/engine/saving.py", line 225, in _deserialize_model model = model_from_config(model_config, custom_objects=custom_objects) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/engine/saving.py", line 458, in model_from_config return deserialize(config, custom_objects=custom_objects) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/layers/init.py", line 55, in deserialize printable_module_name='layer') File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/utils/generic_utils.py", line 145, in deserialize_keras_object list(custom_objects.items()))) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/engine/network.py", line 1032, in from_config process_node(layer, node_data) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/engine/network.py", line 991, in process_node layer(unpack_singleton(input_tensors), kwargs) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/engine/base_layer.py", line 457, in call output = self.call(inputs, kwargs) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/layers/normalization.py", line 206, in call training=training) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 3123, in in_train_phase x = switch(training, x, alt) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 3058, in switch else_expression_fn) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 432, in new_func return func(*args, **kwargs) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 2072, in cond orig_res_f, res_f = context_f.BuildCondBranch(false_fn) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/python/ops/control_flow_ops.py", line 1913, in BuildCondBranch original_result = fn() File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/layers/normalization.py", line 167, in normalize_inference epsilon=self.epsilon) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 1908, in batch_normalization mean = tf.reshape(mean, (-1)) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 6113, in reshape "Reshape", tensor=tensor, shape=shape, name=name) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op op_def=op_def) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1734, in init control_input_ops) File "/home/cyanamous/anaconda3/envs/py36/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1570, in _create_c_op raise ValueError(str(e)) ValueError: Shape must be rank 1 but is rank 0 for 'bn1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64,1,1], [].

[insigh]

hello, have you solved the problem? I have the same one with you, looking forward to your solution.

[ljcyu]

I also meet the same problem, it is useful to try other lower version Keras .

[xaviOwO]

Hello the problem is given by the tensorflow version and I downloaded the V: 1.12 and it was solved.

If you have problems besides that in rec-face.py and add: def triplet_loss (y_true, y_pred):      from keras import backend as K      return K.max (K.abs (y_pred - y_true), axis = -1)

And add to load_model this:

FRmodel = load_model ('face-rec_Google.h5', custom_objects = {'triplet_loss': triplet_loss})

Greetings, sorry for the translation use google translator, I speak Spanish.

[sergree]

Fixed in last Keras https://github.com/keras-team/keras/issues/10648

[gdut3118007086]

pip install keras==2.1.6 or use anaconda to get keras==2.1.6 thanks

[hayatkhan8660-maker]

i solve the same problem by downgrading the keras version from 2.2.4 to 2.1.6