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hi there, i have install phyton 3.7 with the following build : v1.11.0-rc2-4-gc19e29306c 1.11.0 here the phyton sample code: keras_file = "keras_model.h5" converter = tf.contrib.lite.TocoConverter.from_keras_model_file(keras_file) when it try to execute : converter = tf.contrib.lite.TocoConverter.from_keras_model_file(keras_file) and throw the following error: converter = tf.contrib.lite.TocoConverter.from_keras_model_file(keras_file) |
The text was updated successfully, but these errors were encountered: |
I get the same error on OSX with v1.12.0 but if I run it via docker it does not have the error. I also avoid the error by not doing a dropout. Compiles without error: = Sequential() model.add(Dense(500, input_shape = (TRAIN_SIZE, ))) model.add(Activation('relu')) #model.add(Dropout(0.25)) model.add(Dense(250)) |
Sorry, something went wrong.
I'd like to chime in that I've also been getting this error since upgrading to Python 3.7 (from Python 3.6) on OSX, unrelated to Keras. Replacing the call to with has fixed it for me. Update: |
I keep getting this error too, but while running object detection training using model_main.py. I also get a very similar error when training using legacy/train.py. Here is my error: Traceback (most recent call last): I haven't been able to solve it and any recommendations are welcome. |
I'm also getting this error on OSX with TF 1.12 and Python 3.7 anytime I use the a seemingly random set of Keras layers. Seems to throw the error when using Keras' and layers for me. |
Partial stack-trace |
Any updates on this? I am facing the same issue. |
Uninstalling Python 3.7 and installing Python 3.6 fixed it for me. |
with has fixed it for me. Following up on this, I've noticed that the bug is caused anytime I try to create a tf.variable or tf.placeholder of type . Hope this helps in fixing this issue. |
MacOs and Python 3.7 gives the same error when running to train the official . |
with has fixed it for me. any chance you could expand on this? I tried changing the call to PlaceholderWithDefault in gen_array_ops.py line 5334 but it just triggered another error. |
Same problem here |
with has fixed it for me. any chance you could expand on this? I tried changing the call to PlaceholderWithDefault in gen_array_ops.py line 5334 but it just triggered another error. The bug had nothing to do with the placeholders, it occurs whenever I try to create anything of type . Changing to had fixed the bug for me because the default value was a :) See update here: |
You might want to change the labels (if you can) as this issue seems to be unrelated to Keras and directly related to booleans. Here's some minimal examples to get the error: tensorflow as tf tf.Variable(True) tensorflow as tf tf.get_variable('test_bool', 1, tf.bool) |
in train_linear_classifier_model(learning_rate, steps, batch_size, training_examples, training_targets, validation_examples, validation_targets) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/estimator/estimator.py in train(self, input_fn, hooks, steps, max_steps, saving_listeners) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/estimator/estimator.py in _train_model(self, input_fn, hooks, saving_listeners) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/estimator/estimator.py in _train_model_default(self, input_fn, hooks, saving_listeners) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/estimator/estimator.py in _get_features_and_labels_from_input_fn(self, input_fn, mode) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/estimator/estimator.py in _call_input_fn(self, input_fn, mode) in () in my_input_fn(features, targets, batch_size, shuffle, num_epochs) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py in batch(self, batch_size, drop_remainder) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py in (self, input_dataset, batch_size, drop_remainder) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in convert_to_tensor(value, dtype, name, preferred_dtype) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py in constant(value, dtype, shape, name, verify_shape) /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape) tensorflow/python/framework/fast_tensor_util.pyx in tensorflow.python.framework.fast_tensor_util.AppendBoolArrayToTensorProto() /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/numpy/lib/type_check.py in asscalar( ) UnboundLocalError: local variable 'a' referenced before assignment â |
Same problem here! I'm using virtualenv with MacOS. Minimal example from gives me the error! |
Problem solved for me using Python 2.7 and the nightly build from |
Thanks.Also solved with python3.7. |
I am using python3.7 as well, and get the same error. Any luck resolving without switching to 2.7 or 3.6? |
This GPU version needs CUDA10. |
use nightly build that solved for me |
how to fix it ? |
tensorflow as tf tf.Variable(True) tensorflow as tf tf.get_variable('test_bool', 1, tf.bool) I can confirm that both examples above now work without errors on the latest TensorFlow pip package v1.13.0rc1. |
i have the same issue with a fresh install of everything (keras / tensorflow...) but via RStudio. any idea how to solve this in R? |
Even Im using python 3.7, can you try installing pip install tf-nightly, because it solved my problem |
Thank you. This works for me. |
: I was able to get this working by reinstalling the env. using . points to so it won't work if your nightly build environment is named anything but that. |
Same issue here, going to python 3.7 on OSX, using conda-forge built tensorflow 1.13.1, gives the same error. Is there any timeline on when there will be a release that solves this in a production-ready fashion? I know beggars cant be choosers, but this hiccup in going to python 3.7 comes at a bad time, so a fix would be much appreciated. If the nightly takes care of it, it seems pushing out a patch release should be in the cards, no? Thanks! |
Same issue here running on python 3.7. Many of the recommendations above didn't work for due to a on the tensorflow version (1.5.0) on the backend of Keras in my case. Ultimately, I reverted back to Python 3.6.8 using . that did the trick |
This issue still exists on Python 3.7.x and TensorFlow v1.13.1 running on macOS. |
: I was able to get this working by reinstalling the env. using . points to so it won't work if your nightly build environment is named anything but that. Thanks, this solved it for me in R with macOS 10.14.4. |
I am using |
Hello again, I think i solve my problem whenever upgrade c++ runtime version or install msvc_runtimeâ14.21.27702âcp3xâcp3xmâwin_amd64.whl (in my case x==7) |
Any update on this? Getting the same error on mac with python 3.7. |
This issue is fixed with recent TF versions (1.14). Thanks! |
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I have following simple function to get percent values for different cover types from a raster. It gives me following error: UnboundLocalError: local variable 'a' referenced before assignment
which isn't clear to me. Any suggestions?
This error is pretty much explained here and it helped me to get assignments and return values for all variables.
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I got a local error at first, and when I applied global to my code, I got a syntax error.
First, I got an error of UnboundLocalError: local variable 'data' referenced before assignment , then I added global data above the 2nd try . And now I got SyntaxError: name 'data' is assigned to before global declaration
I tried to solve it by applying other people's solutions but with no luck. How would you fix it? Thanks.
Update: data may have issue getting the value. When there's no value, an error will occur on the writerow line. But if I added except: None after the first try for the intention of returning None instead, as shown below:
It will generate a local variable error: local variable 'data' referenced before assignment . And the only way I have to do is to define data as global . I'm confused if I'm even on the right path. Or should there be any way to do rather than using except: None ? Thanks.
The 'UnboundLocalError: local variable 'data' referenced before assignment' error indicates that 'data' has not been assigned when it is being called in Line 9 of your code. Either 'data' is defined outside of the get_data() function, or the initial try-block in which 'data' is defined is not being called.
I was able to get this code to run as expected -- double-check that your code is indented correctly and that there are no other formatting errors.
The following code functions as expected:
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File "weird.py", line 5, in main. print f(3) UnboundLocalError: local variable 'f' referenced before assignment. Python sees the f is used as a local variable in [f for f in [1, 2, 3]], and decides that it is also a local variable in f(3). You could add a global f statement: def f(x): return x. def main():
Output. Hangup (SIGHUP) Traceback (most recent call last): File "Solution.py", line 7, in <module> example_function() File "Solution.py", line 4, in example_function x += 1 # Trying to modify global variable 'x' without declaring it as global UnboundLocalError: local variable 'x' referenced before assignment Solution for Local variable Referenced Before Assignment in Python
Create Functions that Take in Parameters. UnboundLocalError: local variable 'DISTRO_NAME'. Solution 1. Solution 2. DJANGO - Local Variable Referenced Before Assignment [Form] Explanation. Local variable Referenced before assignment but it is global. Local variable 'version' referenced before assignment ubuntu-drivers. FAQs.
The Python "UnboundLocalError: Local variable referenced before assignment" occurs when we reference a local variable before assigning a value to it in a function. To solve the error, mark the variable as global in the function definition, e.g. global my_var .
The UnboundLocalError: local variable 'x' referenced before assignment occurs when you reference a variable inside a function before declaring that variable. To resolve this error, you need to use a different variable name when referencing the existing variable, or you can also specify a parameter for the function. I hope this tutorial is useful.
UnboundLocalError: local variable referenced before assignment. Example #1: Accessing a Local Variable. Solution #1: Passing Parameters to the Function. Solution #2: Use Global Keyword. Example #2: Function with if-elif statements. Solution #1: Include else statement. Solution #2: Use global keyword. Summary.
Avoid Reassignment of Global Variables. Below, code calculates a new value (local_var) based on the global variable and then prints both the local and global variables separately.It demonstrates that the global variable is accessed directly without being reassigned within the function.
Trying to assign a value to a variable that does not have local scope can result in this error: UnboundLocalError: local variable referenced before assignment. Python has a simple rule to determine the scope of a variable. If a variable is assigned in a function, that variable is local. This is because it is assumed that when you define a ...
2 Solutions for the Problem. 2.1 Method 1: Initializing the Variable. 2.2 Method 2: Using Global Variables. 2.3 Method 3: Using Nonlocal Variables.
I think you are using 'global' incorrectly. See Python reference.You should declare variable without global and then inside the function when you want to access global variable you declare it global yourvar. #!/usr/bin/python total def checkTotal(): global total total = 0
What is UnboundLocalError: local variable referenced before assignment? Trying to assign a value to a variable that does not have local scope can result in this error: 1 UnboundLocalError: local variable referenced before assignment. Python has a simple rule to determine the scope of a variable.
The Unboundlocalerror: local variable referenced before assignment is raised when you try to use a variable before it has been assigned in the local context. Python doesn't have variable declarations , so it has to figure out the scope of variables itself. It does so by a simple rule: If there is an assignment to a variable inside a function ...
To fix this, you can either move the assignment of the variable x before the print statement, or give it an initial value before the print statement. def example (): x = 5 print (x) example()
Assigning a value to a variable works differently. If the variable is already defined in the current scope, then it will just take on the new value. If the variable doesn't exist in the current scope, then Python treats the assignment as a variable definition. The scope of the newly defined variable is the function that contains the assignment.
There isn't a standard way to handle this situation. Common approaches are: 1. make sure that the variable is initialized in every code path (in your case: including the else case) 2. initialize the variable to some reasonable default value at the beginning. 3. return from the function in the code paths which cannot provide a value for the ...
Describe the bug. "UnboundLocalError: local variable 'date' referenced before assignment" I am getting this error after trying to load installed models or load ...
UnboundLocalError: local variable 'a' referenced before assignment The text was updated successfully, but these errors were encountered: đ 17 callensm, bendesign55, nulladdict, rohanbanerjee, balovbohdan, drewszurko, hellotuitu, rribani, jeromesteve202, egmaziero, and 7 more reacted with thumbs up emoji
UnboundLocalError: local variable 'x' referenced before assignment. Ask Question Asked 12 years, 3 months ago. Modified 7 years, 1 month ago. Viewed 8k times ... UnboundLocalError: local variable referenced before assignment. 1. PGRouting Layer plugin "UnboundLocalError: local variable 'db' referenced before assignment" ...
6. It's because you have assigned the variable servo_quadrant under one of the preceding if conditions in your function, and if none of the conditions return True, you will haven't any servo_quadrant. For getting ride of this problem you need to initial this variable in your function. You can put servo_quadrant = 0 on top level of your function ...
I have following simple function to get percent values for different cover types from a raster. It gives me following error: UnboundLocalError: local variable 'a' referenced before assignment whic...
It will generate a local variable error: local variable 'data' referenced before assignment. And the only way I have to do is to define data as global. I'm confused if I'm even on the right path. Or should there be any way to do rather than using except: None? Thanks.