from tensorflow.contrib.distributions.python.ops import bernoulli ImportError: cannot import name 'bernoulli' #285

ajaykumarbharaj · 2017-07-26T07:52:48Z

No description provided.

robi56 · 2017-07-30T07:51:09Z

Update by:

from tensorflow.contrib.distributions import  Bernoulli
from tensorflow.contrib.distributions import Categorical

sampler = Bernoulli(probs=self._sampling_probability)
sample_id_sampler = Categorical(logits=outputs)

This will resolve your problem

enjector · 2017-07-31T21:47:42Z

@robi56 thanks. Just in case others are having a problem here are the steps to correct the problem when running unit tests:

emacs seq2seq/contrib/seq2seq/helper.py
Replace the imports line for bernoulli and categorical at the top with robi56's answer
from tensorflow.contrib.distributions import Bernoulli
from tensorflow.contrib.distributions import Categorical
Run python -m unittest seq2seq.test.pipeline_test

Thanks

ptresende · 2017-09-13T13:42:16Z

In case the solutions above do not work for you, in my env, the following did work:

from tensorflow.python.ops.distributions import bernoulli
from tensorflow.python.ops.distributions import categorical

My output for
python -c "import tensorflow as tf; print(tf.VERSION, tf.GIT_VERSION, tf.__file__)"

is:
1.2.1 v1.2.0-5-g435cdfc /usr/local/lib/python3.5/dist-packages/tensorflow/__init__.py

alishakiba · 2017-09-22T20:11:19Z

Hi there,

I've made the aforementioned changes, however, it did not work for me.

I am using centos-release-6-5.el6.centos.11.1.x86_64. The output for uname -a

is

Linux p3.hpc.vru.ac.ir 2.6.32-431.el6.x86_64 #1 SMP Fri Nov 22 03:15:09 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux

python -c "import tensorflow as tf; print(tf.VERSION, tf.GIT_VERSION, tf.__file__)"

is

1.2.1 b'unknown' /opt/anaconda2/envs/keras-tf-backend-gpu/lib/python3.5/site-packages/tensorflow/__init__.py

The error is

`
python -m unittest seq2seq.test.pipeline_test E

ERROR: seq2seq (unittest.loader._FailedTest)

ImportError: Failed to import test module: seq2seq
Traceback (most recent call last):
File "/opt/anaconda2/envs/keras-tf-backend-gpu/lib/python3.5/unittest/loader.py", line 153, in loadTestsFromName
module = import(module_name)
File "/root/seq2seq_src/seq2seq/init.py", line 25, in
from seq2seq import data
File "/root/seq2seq_src/seq2seq/data/init.py", line 17, in
from seq2seq.data import input_pipeline
File "/root/seq2seq_src/seq2seq/data/input_pipeline.py", line 32, in
from tensorflow.contrib.slim.python.slim.data import tfexample_decoder
File "/opt/anaconda2/envs/keras-tf-backend-gpu/lib/python3.5/site-packages/tensorflow/contrib/init.py", line 56, in
from tensorflow.contrib import seq2seq
File "/opt/anaconda2/envs/keras-tf-backend-gpu/lib/python3.5/site-packages/tensorflow/contrib/seq2seq/init.py", line 27, in
from tensorflow.contrib.seq2seq.python.ops.basic_decoder import *
File "/opt/anaconda2/envs/keras-tf-backend-gpu/lib/python3.5/site-packages/tensorflow/contrib/seq2seq/python/ops/basic_decoder.py", line 25, in
from tensorflow.contrib.seq2seq.python.ops import helper as helper_py
File "/opt/anaconda2/envs/keras-tf-backend-gpu/lib/python3.5/site-packages/tensorflow/contrib/seq2seq/python/ops/helper.py", line 36, in
from tensorflow.python.ops.distributions import Bernoulli
ImportError: cannot import name 'Bernoulli'

Ran 1 test in 0.000s

FAILED (errors=1)
`

ghost · 2017-09-25T15:38:49Z

For people still having confusions:

The actual code block (unchanged) is:

from tensorflow.contrib.distributions.python.ops import bernoulli
from tensorflow.contrib.distributions.python.ops import categorical

First solution

If you are using the suggestions by @robi56 :

from tensorflow.contrib.distributions import  Bernoulli
from tensorflow.contrib.distributions import Categorical

(notice that bernoulli and categorical are capitalized now)

Make sure that you make the following changes in line 387 and line 267:

sampler = Bernoulli(probs=self._sampling_probability)
sample_id_sampler = Categorical(logits=outputs)

Second solution

or just make the following changes suggested by @ptresende :

from tensorflow.python.ops.distributions import bernoulli
from tensorflow.python.ops.distributions import categorical

Both the solutions work for me.

Sammyreus · 2018-02-26T10:22:34Z

new error after fixing the helper.py

python -m unittest seq2seq.test.pipeline_test
WARNING:tensorflow:From /home/nil/seq2seq/seq2seq/test/pipeline_test.py:57: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.get_or_create_global_step
.E

ERROR: test_train_infer (seq2seq.test.pipeline_test.PipelineTest)
Tests training and inference scripts.

Traceback (most recent call last):
File "/home/nil/seq2seq/seq2seq/test/pipeline_test.py", line 76, in test_train_infer
_clear_flags()
File "/home/nil/seq2seq/seq2seq/test/pipeline_test.py", line 44, in _clear_flags
tf.app.flags.FLAGS = tf.app.flags._FlagValues()
AttributeError: module 'tensorflow.python.platform.flags' has no attribute '_FlagValues'

Ran 2 tests in 0.134s

Jaydaar · 2018-04-11T02:39:47Z

i have this same issue and i am not sure how to fix it.

kritinemkul · 2018-04-28T06:51:24Z

Same error exists.
Traceback (most recent call last):
File "/home/nil/seq2seq/seq2seq/test/pipeline_test.py", line 76, in test_train_infer
_clear_flags()
File "/home/nil/seq2seq/seq2seq/test/pipeline_test.py", line 44, in _clear_flags
tf.app.flags.FLAGS = tf.app.flags._FlagValues()
AttributeError: module 'tensorflow.python.platform.flags' has no attribute '_FlagValues'

tigerneil · 2018-05-03T01:30:25Z

@kritinemkul for your problem, change the following code in /home/ubuntu/seq2seq/seq2seq/test/pipeline_test.py:

def _clear_flags():
  """Resets Tensorflow's FLAG values"""
  #pylint: disable=W0212
  for flag_key in dir(tf.app.flags.FLAGS):
      delattr(tf.app.flags.FLAGS, flag_key)
  #tf.app.flags.FLAGS = tf.app.flags._FlagValues()
  tf.app.flags._global_parser = argparse.ArgumentParser()

kritinemkul · 2018-05-03T05:17:21Z

@tigerneil Thank you for the solution.

onlyjackfrost · 2018-06-09T06:08:02Z

I got a problem after i solved the bernoulli ImportError and the AttributeError mentioned above.
Then I used the command python -m unittest seq2seq.test.pipeline_test and i got a error below.

PermissionError: [Errno 13] Permission denied: 'C:\\Users\\user\\AppData\\Local\\Temp\\tmpi7s9txub'
       
 [[Node: bleu/value = PyFunc[Tin=[DT_STRING, DT_STRING], Tout=[DT_FLOAT], token="pyfunc_0",
_device="/job:localhost/replica:0/task:0/device:CPU:0"](bleu/sources/read, bleu/targets/read)]]

I've check the path"C:\Users\user\AppData\Local\Temp" and there is no such file...
Btw im using Anaconda for python3.6 and tensorflow1.8 on window8.1

neerajks · 2018-06-19T17:51:46Z

Hi any luck resolving the above error ? I am facing the same error on tensorflow 1.8.

ghost · 2018-09-04T11:19:01Z

#285 (comment)

Only solution 2 worked not solution 1.

mosabrezaei · 2021-04-10T10:07:24Z

Hi,

I followed the responses and I have changed the below files:

1. /seq2seq/seq2seq/contrib/seq2seq/helper.py   =>  (to solve bernoulli and categorical problem)
2. /seq2seq/test/pipeline_test.py   =>  (to solve: module 'tensorflow.python.platform.flags' has no attribute '_FlagValues' )

Also, I have changed the Tensorflow version to 1.15.2

But when I try to run: ! python -m unittest seq2seq.test.pipeline_test

I face the following error after a lot of warning about deprecated files:

E
======================================================================
ERROR: test_train_infer (seq2seq.test.pipeline_test.PipelineTest)
seq2seq.test.pipeline_test.PipelineTest.test_train_infer
Tests training and inference scripts.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/content/seq2seq/seq2seq/test/pipeline_test.py", line 150, in test_train_infer
    train_script.main([])
  File "/content/seq2seq/bin/train.py", line 272, in main
    schedule=FLAGS.schedule)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/util/deprecation.py", line 324, in new_func
    return func(*args, **kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/learn_runner.py", line 225, in run
    return _execute_schedule(experiment, schedule)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/learn_runner.py", line 52, in _execute_schedule
    return task()
  File "/content/seq2seq/seq2seq/contrib/experiment.py", line 104, in continuous_train_and_eval
    monitors=self._train_monitors)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/util/deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 524, in fit
    loss = self._train_model(input_fn=input_fn, hooks=hooks)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 1041, in _train_model
    model_fn_ops = self._get_train_ops(features, labels)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 1265, in _get_train_ops
    return self._call_model_fn(features, labels, model_fn_lib.ModeKeys.TRAIN)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 1228, in _call_model_fn
    model_fn_results = self._model_fn(features, labels, **kwargs)
  File "/content/seq2seq/bin/train.py", line 183, in model_fn
    return model(features, labels, params)
  File "/content/seq2seq/seq2seq/models/model_base.py", line 146, in __call__
    return self._build(features, labels, params)
  File "/content/seq2seq/seq2seq/models/seq2seq_model.py", line 297, in _build
    encoder_output = self.encode(features, labels)
  File "/content/seq2seq/seq2seq/graph_utils.py", line 38, in func_wrapper
    return templated_func(*args, **kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 393, in __call__
    return self._call_func(args, kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 355, in _call_func
    result = self._func(*args, **kwargs)
  File "/content/seq2seq/seq2seq/models/basic_seq2seq.py", line 109, in encode
    return encoder_fn(source_embedded, features["source_len"])
  File "/content/seq2seq/seq2seq/graph_module.py", line 57, in __call__
    return self._template(*args, **kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 385, in __call__
    return self._call_func(args, kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 355, in _call_func
    result = self._func(*args, **kwargs)
  File "/content/seq2seq/seq2seq/encoders/encoder.py", line 49, in _build
    return self.encode(inputs, *args, **kwargs)
  File "/content/seq2seq/seq2seq/encoders/rnn_encoder.py", line 135, in encode
    cell_fw = training_utils.get_rnn_cell(**self.params["rnn_cell"])
  File "/content/seq2seq/seq2seq/training/utils.py", line 157, in get_rnn_cell
    cell = cell_from_spec(cell_class, cell_params)
  File "/content/seq2seq/seq2seq/training/utils.py", line 123, in cell_from_spec
    are: {}""".format(key, cell_class.__name__, cell_args))
ValueError: num_units is not a valid argument for GRUCell class. Available arguments
          are: set()

originally defined at:
  File "/content/seq2seq/seq2seq/models/basic_seq2seq.py", line 108, in encode
    encoder_fn = self.encoder_class(self.params["encoder.params"], self.mode)
  File "/content/seq2seq/seq2seq/encoders/rnn_encoder.py", line 119, in __init__
    super(BidirectionalRNNEncoder, self).__init__(params, mode, name)
  File "/content/seq2seq/seq2seq/encoders/encoder.py", line 45, in __init__
    GraphModule.__init__(self, name)
  File "/content/seq2seq/seq2seq/graph_module.py", line 44, in __init__
    self._template = tf.make_template(name, self._build, create_scope_now_=True)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 161, in make_template
    **kwargs)


originally defined at:
  File "/content/seq2seq/seq2seq/graph_utils.py", line 37, in func_wrapper
    templated_func = tf.make_template(name_, func)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 161, in make_template
    **kwargs)


----------------------------------------------------------------------
Ran 2 tests in 0.189s

FAILED (errors=1, skipped=1)

yuchensu1 · 2021-06-09T14:44:20Z

Hi,

I followed the responses and I have changed the below files:

1. /seq2seq/seq2seq/contrib/seq2seq/helper.py   =>  (to solve bernoulli and categorical problem)
2. /seq2seq/test/pipeline_test.py   =>  (to solve: module 'tensorflow.python.platform.flags' has no attribute '_FlagValues' )

Also, I have changed the Tensorflow version to 1.15.2

But when I try to run: ! python -m unittest seq2seq.test.pipeline_test

I face the following error after a lot of warning about deprecated files:

E
======================================================================
ERROR: test_train_infer (seq2seq.test.pipeline_test.PipelineTest)
seq2seq.test.pipeline_test.PipelineTest.test_train_infer
Tests training and inference scripts.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/content/seq2seq/seq2seq/test/pipeline_test.py", line 150, in test_train_infer
    train_script.main([])
  File "/content/seq2seq/bin/train.py", line 272, in main
    schedule=FLAGS.schedule)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/util/deprecation.py", line 324, in new_func
    return func(*args, **kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/learn_runner.py", line 225, in run
    return _execute_schedule(experiment, schedule)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/learn_runner.py", line 52, in _execute_schedule
    return task()
  File "/content/seq2seq/seq2seq/contrib/experiment.py", line 104, in continuous_train_and_eval
    monitors=self._train_monitors)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/util/deprecation.py", line 507, in new_func
    return func(*args, **kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 524, in fit
    loss = self._train_model(input_fn=input_fn, hooks=hooks)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 1041, in _train_model
    model_fn_ops = self._get_train_ops(features, labels)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 1265, in _get_train_ops
    return self._call_model_fn(features, labels, model_fn_lib.ModeKeys.TRAIN)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 1228, in _call_model_fn
    model_fn_results = self._model_fn(features, labels, **kwargs)
  File "/content/seq2seq/bin/train.py", line 183, in model_fn
    return model(features, labels, params)
  File "/content/seq2seq/seq2seq/models/model_base.py", line 146, in __call__
    return self._build(features, labels, params)
  File "/content/seq2seq/seq2seq/models/seq2seq_model.py", line 297, in _build
    encoder_output = self.encode(features, labels)
  File "/content/seq2seq/seq2seq/graph_utils.py", line 38, in func_wrapper
    return templated_func(*args, **kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 393, in __call__
    return self._call_func(args, kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 355, in _call_func
    result = self._func(*args, **kwargs)
  File "/content/seq2seq/seq2seq/models/basic_seq2seq.py", line 109, in encode
    return encoder_fn(source_embedded, features["source_len"])
  File "/content/seq2seq/seq2seq/graph_module.py", line 57, in __call__
    return self._template(*args, **kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 385, in __call__
    return self._call_func(args, kwargs)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 355, in _call_func
    result = self._func(*args, **kwargs)
  File "/content/seq2seq/seq2seq/encoders/encoder.py", line 49, in _build
    return self.encode(inputs, *args, **kwargs)
  File "/content/seq2seq/seq2seq/encoders/rnn_encoder.py", line 135, in encode
    cell_fw = training_utils.get_rnn_cell(**self.params["rnn_cell"])
  File "/content/seq2seq/seq2seq/training/utils.py", line 157, in get_rnn_cell
    cell = cell_from_spec(cell_class, cell_params)
  File "/content/seq2seq/seq2seq/training/utils.py", line 123, in cell_from_spec
    are: {}""".format(key, cell_class.__name__, cell_args))
ValueError: num_units is not a valid argument for GRUCell class. Available arguments
          are: set()

originally defined at:
  File "/content/seq2seq/seq2seq/models/basic_seq2seq.py", line 108, in encode
    encoder_fn = self.encoder_class(self.params["encoder.params"], self.mode)
  File "/content/seq2seq/seq2seq/encoders/rnn_encoder.py", line 119, in __init__
    super(BidirectionalRNNEncoder, self).__init__(params, mode, name)
  File "/content/seq2seq/seq2seq/encoders/encoder.py", line 45, in __init__
    GraphModule.__init__(self, name)
  File "/content/seq2seq/seq2seq/graph_module.py", line 44, in __init__
    self._template = tf.make_template(name, self._build, create_scope_now_=True)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 161, in make_template
    **kwargs)


originally defined at:
  File "/content/seq2seq/seq2seq/graph_utils.py", line 37, in func_wrapper
    templated_func = tf.make_template(name_, func)
  File "/tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/template.py", line 161, in make_template
    **kwargs)


----------------------------------------------------------------------
Ran 2 tests in 0.189s

FAILED (errors=1, skipped=1)

I face the same problem and has anyone solved this error?

thakkarparth007 · 2022-02-19T03:11:00Z

This particular problem can be solved by replacing the following line in seq2seq.training.utils.py:

cell_args = set(inspect.getargspec(cell_class.__init__).args[1:]) (found in cell_from_spec) method

with the following line:

cell_args = set(list(inspect.signature(cell_class.__init__).parameters)[1:])

But of course there's a new error now:

ERROR: test_train_infer (seq2seq.test.pipeline_test.PipelineTest)
seq2seq.test.pipeline_test.PipelineTest.test_train_infer
Tests training and inference scripts.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/parthdt2/DL_models/atlas---deep-learning-assert-statements/seq2seq/seq2seq/test/pipeline_test.py", line 159, in test_train_infer
    os.path.join(BIN_FOLDER, "infer.py"))
  File "/usr/lib/python3.6/imp.py", line 172, in load_source
    module = _load(spec)
  File "<frozen importlib._bootstrap>", line 684, in _load
  File "<frozen importlib._bootstrap>", line 665, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 678, in exec_module
  File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
  File "/home/parthdt2/DL_models/atlas---deep-learning-assert-statements/seq2seq/bin/infer.py", line 40, in <module>
    parameters for inference""")
  File "/home/parthdt2/.local/lib/python3.6/site-packages/tensorflow_core/python/platform/flags.py", line 58, in wrapper
    return original_function(*args, **kwargs)
  File "/home/parthdt2/.local/lib/python3.6/site-packages/absl/flags/_defines.py", line 294, in DEFINE_string
    **args)
  File "/home/parthdt2/.local/lib/python3.6/site-packages/absl/flags/_defines.py", line 106, in DEFINE
    module_name, required)
  File "/home/parthdt2/.local/lib/python3.6/site-packages/absl/flags/_defines.py", line 140, in DEFINE_flag
    fv[flag.name] = flag
  File "/home/parthdt2/.local/lib/python3.6/site-packages/absl/flags/_flagvalues.py", line 439, in __setitem__
    raise _exceptions.DuplicateFlagError.from_flag(name, self)
absl.flags._exceptions.DuplicateFlagError: The flag 'model_params' is defined twice. First from seq2seq.test.train_bin, Second from seq2seq.test.infer_bin.  Description from first occurrence: YAML configuration string for the model
                       parameters.

Also, my fix somehow doesn't make the test pass. The test runs, but the training stops as max steps are reached. I'm not sure if that's okay or suggests a deeper bug. INFO:tensorflow:Stop training model as max steps reached.

The final output has this:

Ran 2 tests in 17.685s

FAILED (errors=1, skipped=1)

hermansje mentioned this issue Oct 29, 2017

Two error when running seq2seq.test.pipeline_test with Anaconda3 on win7 #294

Open

slgobinath mentioned this issue Nov 30, 2017

Compatibility with TensorFlow r1.3 #300

Open

cnglen added a commit to cnglen/seq2seq that referenced this issue Jan 2, 2018

update for tf v1.4.0, see google#285

5aacbb4

mbehrooz mentioned this issue Feb 22, 2018

Error in pipeline unittest after setup #316

Open

amirj mentioned this issue Feb 22, 2018

make compatible with TF1.5 #317

Open

onlyjackfrost mentioned this issue Jun 9, 2018

Flag parsing error in tensorflow 1.8 #326

Open

ChinaShrimp added a commit to ChinaShrimp/seq2seq that referenced this issue Jun 23, 2018

fix issue: google#285

9db1c98

Dr-Corgi mentioned this issue Jan 15, 2019

What's wrong with bernoulli? #338

Open

QuickLearner171998 mentioned this issue Jan 27, 2020

Can Run on any Tf 1.x pandegroup/reaction_prediction_seq2seq#9

Open

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from tensorflow.contrib.distributions.python.ops import bernoulli ImportError: cannot import name 'bernoulli' #285

from tensorflow.contrib.distributions.python.ops import bernoulli ImportError: cannot import name 'bernoulli' #285

ajaykumarbharaj commented Jul 26, 2017

robi56 commented Jul 30, 2017 •

edited

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enjector commented Jul 31, 2017

ptresende commented Sep 13, 2017

alishakiba commented Sep 22, 2017

ghost commented Sep 25, 2017 •

edited by ghost

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Sammyreus commented Feb 26, 2018

Jaydaar commented Apr 11, 2018

kritinemkul commented Apr 28, 2018

tigerneil commented May 3, 2018

kritinemkul commented May 3, 2018

onlyjackfrost commented Jun 9, 2018 •

edited

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neerajks commented Jun 19, 2018

ghost commented Sep 4, 2018

mosabrezaei commented Apr 10, 2021 •

edited

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yuchensu1 commented Jun 9, 2021

thakkarparth007 commented Feb 19, 2022

from tensorflow.contrib.distributions.python.ops import bernoulli ImportError: cannot import name 'bernoulli' #285

from tensorflow.contrib.distributions.python.ops import bernoulli ImportError: cannot import name 'bernoulli' #285

Comments

ajaykumarbharaj commented Jul 26, 2017

robi56 commented Jul 30, 2017 • edited Loading

enjector commented Jul 31, 2017

ptresende commented Sep 13, 2017

alishakiba commented Sep 22, 2017

` python -m unittest seq2seq.test.pipeline_test E

ERROR: seq2seq (unittest.loader._FailedTest)

ghost commented Sep 25, 2017 • edited by ghost Loading

Sammyreus commented Feb 26, 2018

ERROR: test_train_infer (seq2seq.test.pipeline_test.PipelineTest) Tests training and inference scripts.

Jaydaar commented Apr 11, 2018

kritinemkul commented Apr 28, 2018

tigerneil commented May 3, 2018

kritinemkul commented May 3, 2018

onlyjackfrost commented Jun 9, 2018 • edited Loading

neerajks commented Jun 19, 2018

ghost commented Sep 4, 2018

mosabrezaei commented Apr 10, 2021 • edited Loading

yuchensu1 commented Jun 9, 2021

thakkarparth007 commented Feb 19, 2022

robi56 commented Jul 30, 2017 •

edited

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`
python -m unittest seq2seq.test.pipeline_test E

ghost commented Sep 25, 2017 •

edited by ghost

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ERROR: test_train_infer (seq2seq.test.pipeline_test.PipelineTest)
Tests training and inference scripts.

onlyjackfrost commented Jun 9, 2018 •

edited

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mosabrezaei commented Apr 10, 2021 •

edited

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