TypeError: zeros_initializer() got multiple values for keyword argument 'dtype'

[wei-yuan]

I'm trying to do distributed learning from tutorial Inception in TensorFlow

Environment
Parameter Server
Operating system : Ubuntu 16.04 LTS
Tensorflow : r 0.12
python : 2.7.12

Worker
Operating system : CentOS 7
Tensorflow : r 0.12
python : 2.7.5
GPU card : 2 * GTX NVIDIA 1080

but i got this error :

Traceback (most recent call last): 
File "/home/paslab/tensorflow-models/inception/bazel-bin/inception/imagenet_distributed_train.runfiles/inception/inception/imagenet_distributed_train.py", line 66, in <module> tf.app.run()

File "/usr/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 44, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "/home/paslab/tensorflow-models/inception/bazel-bin/inception/imagenet_distributed_train.runfiles/inception/inception/imagenet_distributed_train.py", line 62, in main inception_distributed_train.train(server.target, dataset, cluster_spec)

File "/home/paslab/tensorflow-models/inception/bazel-bin/inception/imagenet_distributed_train.runfiles/inception/inception/inception_distributed_train.py", line 120, in train global_step = slim.variables.global_step() 

File "/home/paslab/tensorflow-models/inception/bazel-bin/inception/imagenet_distributed_train.runfiles/inception/inception/slim/scopes.py", line 155, in func_with_args return func(*args, **current_args) 

File "/home/paslab/tensorflow-models/inception/bazel-bin/inception/imagenet_distributed_train.runfiles/inception/inception/slim/variables.py", line 244, in global_step trainable=False, collections=collections) 

File "/usr/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 987, in get_variable custom_getter=custom_getter) 

File "/usr/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 889, in get_variable custom_getter=custom_getter) 

File "/usr/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 347, in get_variable validate_shape=validate_shape) 

File "/usr/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 332, in _true_getter caching_device=caching_device, validate_shape=validate_shape) 

File "/usr/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 683, in _get_single_variable validate_shape=validate_shape) 

File "/usr/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 226, in __init__ expected_shape=expected_shape) 

File "/usr/lib/python2.7/site-packages/tensorflow/python/ops/variables.py", line 303, in _init_from_args initial_value(), name="initial_value", dtype=dtype) 

File "/usr/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 672, in <lambda> shape.as_list(), dtype=dtype, partition_info=partition_info) 

TypeError: zeros_initializer() got multiple values for keyword argument 'dtype'

I checked the following issue before

(TypeError: ones_initializer() got multiple values for keyword argument 'dtype' when execute the inception_train #5742)

but it seems not working very well

Any idea? Thx!

[yaroslavvb]

Solution: #6202 (comment) (found by searching your issue title on github)

[wei-yuan]

Hi @yaroslavvb ,

---

My environment info
Parameter Server
Operating system : Ubuntu 16.04 LTS
Tensorflow : r 0.12
Python : 2.7.12

Worker
Operating system : CentOS 7
Tensorflow : r 0.12
Python : 2.7.5
GPU card : 2 * GTX NVIDIA 1080

---

I already checked the file of ops.py, and my code here is

initializer=tf.ones_initializer()

So the problem seems not the initializer()
That's the reason i call for help :P
Should i use initializer=tf.constant_initializer() ?

---

EDIT : I'll check my firewall of worker, see if anything happen

[prb12]

This tutorial was updated to the new TF1.0 API on Jan 20th tensorflow/models@e5079c8

You will need to upgrade to a newer version of TensorFlow to use this code without modification.

Please re-open if this does not fix your problem.