twopin
commented
2 years ago Our codes are implemented in Keras (tensorflow backend). I notice that the error message indicates that the codes are currently running in Theano backend on your computer. You need to switch the backend to keras(tensorflow) by specifying that.
Anyone can help with this? Thank you!
x must be 1-d or 2-d tensor of floats. Got TensorType(float32, 3D)
Software versions: Python 2.7.18 |Anaconda, Inc.| (default, Jun 4 2021, 14:47:46) [GCC 7.3.0] on linux2 Type "help", "copyright", "credits" or "license" for more information.
$ python -u predict_CAMP.py Using Theano backend. 2021-09-29 14:25:44.007318: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2021-09-29 14:25:44.007379: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2021-09-29 14:25:44.007404: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2021-09-29 14:25:44.007429: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 2021-09-29 14:25:44.007452: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. ('Start loading model :', './model/CAMP.h5') Traceback (most recent call last): File "predict_CAMP.py", line 175, in
model = load_model(model_name,custom_objects={'Self_Attention': Self_Attention})
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/keras/models.py", line 239, in load_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/keras/models.py", line 313, in model_from_config
return layer_module.deserialize(config, custom_objects=custom_objects)
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/keras/layers/init.py", line 54, in deserialize
printable_module_name='layer')
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/keras/utils/generic_utils.py", line 139, in deserialize_keras_object
list(custom_objects.items())))
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/keras/engine/topology.py", line 2497, in from_config
process_node(layer, node_data)
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/keras/engine/topology.py", line 2454, in process_node
layer(input_tensors[0], kwargs)
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/keras/engine/topology.py", line 602, in call
output = self.call(inputs, kwargs)
File "/home/data/TData/software/Denodo_CAMP/twopin-CAMP-0708396/Self_Attention.py", line 29, in call
QK = K.softmax(QK)
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/keras/backend/theano_backend.py", line 1529, in softmax
return T.nnet.softmax(x)
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py", line 815, in softmax
return softmax_op(c)
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/theano/gof/op.py", line 615, in call
node = self.make_node(*inputs, **kwargs)
File "/home/data/anaconda3/envs/CAMPNoGPU/lib/python2.7/site-packages/theano/tensor/nnet/nnet.py", line 430, in make_node
x.type)
ValueError: x must be 1-d or 2-d tensor of floats. Got TensorType(float32, 3D)