I am trying to convert a frozen grap to tflite using convert_saved_model in tensorflow, but i am getting the following error
from tensorflow.contrib.lite.python import convert_saved_model
ImportError: cannot import name 'convert_saved_model'
Here's the code i've been using
from tensorflow.contrib.lite.python import convert_saved_model
convert_saved_model.tflite_from_saved_model(saved_model_dir="optimized_graph.pb",
output_file="/tflite_Model")
I am using a Windows 8.1 and tensorflow 1.8.
I've tried using toco_convert but got the error
module tensorflow.contrib has no attribute 'lite'
Please try with Tensorflow 1.9 and file a Github issue if this is still not working https://github.com/tensorflow/tensorflow/issues
Related
As I said in the title, I cannot import sparkdl module into databricks.
I followed step by step this official tutorial sparkdl tutorial but when I simply put some code like:
from sparkdl import readImages
I get an error that says I cannot import readImages from sparkdl, the same for other classes such DeepImageFeaturizer.
I checked and It seems there is some sort of problem with the versions of keras,tensorflow,sparkdl,h5py and the maven library spark-deep-learning so I'm looking for a stable combination beetween them.
Taking into account that from Databricks I can only install tensorflow from 2.5.0 up to newer version.
With the following versions:
tensorflow v 2.5.0, keras 2.2.4, 1.4.0-spark-deep-learning,h5py v 3.7.0
I Got the following error while importing DeepImageFeaturizer
from sparkdl import DeepImageFeaturizer ImportError: cannot import name 'resnet50' from 'keras.applications' (/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/keras/applications/__init__.py)
Any help or suggestion will be really appreciated
I wrote following codes on a new google collabs notebook:
!pip install --quiet --upgrade tensorflow-federated-nightly
import tensorflow as tf
import tensorflow_federated as tff
And I got these error messages while importing tensorflow_federeated:
/usr/local/lib/python3.7/dist-packages/keras/api/_v1/keras/experimental/__init__.py in <module>()
8 from keras.feature_column.sequence_feature_column import SequenceFeatures
9 from keras.layers.rnn.lstm_v1 import PeepholeLSTMCell
---> 10 from keras.optimizers.learning_rate_schedule import CosineDecay
11 from keras.optimizers.learning_rate_schedule import CosineDecayRestarts
12 from keras.premade_models.linear import LinearModel
ModuleNotFoundError: No module named 'keras.optimizers.learning_rate_schedule'; 'keras.optimizers' is not a package
These errors seem to be spawning from the modules installed on the colabs itself, instead of my code.
Any idea on what can be done to fix this?
Collab Defaults to 3.7 according to a similar problem But although the solution to upgrade to 3.9 did indeed upgrade to python 3.9, TFF still didn't work for me, even when I installed locally. So, find a different path.
I get this error when trying to setup Unity3d ml-agents
ImportError: cannot import name 'cluster_resolver'
Following https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Installation.md tutorial
from tensorflow.contrib import cluster_resolver
Error happens when I try to run mlagents-learn --help
I am on MacOS with Python 3.6
Fixed by using Tensorflow 1.7.0 instead of 1.7.1 as in the tutorial.
Hi so I'm trying to use the make_pipeline module in sklearn. But when I try to import it with:
from sklearn.pipeline import make_pipeline
I get this error:
ImportError: cannot import name '_print_elapsed_time'
I've googled it but there seems to be no other posts about this. I tried reinstalling scikitlearn but I still get the same error :/ Anyone have any ideas?
It looks like this was a bug introduced into one of the newer versions of scikit-learn (I got this same issue in version 0.21.2).
I was able to fix this by downgrading to scikit-learn version 0.20.0
>> pip install scikit-learn==0.20.0
I'm getting error ImportError: No module named gmm when I'm using from scikits.learn.gmm import GMM..
I installed scikits using windows installer and no error..
How I can fix it?
That link is very old, the module name was renamed to sklearn as you have installed version 0.16.1 you should be using
from sklearn.mixture import GMM
as per the docs