Saya mencoba melakukan pembelajaran terdistribusi dari tutorial Inception di TensorFlow
Lingkungan Hidup
_Parameter Server_
Sistem operasi: Ubuntu 16.04 LTS
Tensorflow: r 0,12
python: 2.7.12
_Pekerja_
Sistem operasi: CentOS 7
Tensorflow: r 0,12
python: 2.7.5
Kartu GPU: 2 * GTX NVIDIA 1080
tetapi saya mendapat kesalahan ini:
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'
Saya memeriksa masalah berikut sebelumnya
tapi sepertinya tidak bekerja dengan baik
Ada ide? Terima kasih!
Solusi: https://github.com/tensorflow/tensorflow/issues/6202#issuecomment -267445372 (ditemukan dengan mencari judul masalah Anda di github)
Hai @yaroslavvb ,
Info lingkungan saya
_Parameter Server_
Sistem operasi: Ubuntu 16.04 LTS
Tensorflow: r 0,12
Python: 2.7.12
_Pekerja_
Sistem operasi: CentOS 7
Tensorflow: r 0,12
Python: 2.7.5
Kartu GPU: 2 * GTX NVIDIA 1080
Saya sudah memeriksa file ops.py, dan kode saya di sini adalah
initializer=tf.ones_initializer()
Jadi masalahnya sepertinya bukan penginisialisasi ()
Itulah alasan saya meminta bantuan: P
Haruskah saya menggunakan initializer=tf.constant_initializer()
?
EDIT: Saya akan memeriksa firewall pekerja saya, melihat apakah terjadi sesuatu
Tutorial ini telah diperbarui ke TF1.0 API baru pada tanggal 20 Januari https://github.com/tensorflow/models/commit/e5079c839058ff40dcbd15515a9cfb462fabbc2a
Anda perlu mengupgrade ke versi TensorFlow yang lebih baru untuk menggunakan kode ini tanpa modifikasi.
Harap buka kembali jika ini tidak menyelesaikan masalah Anda.
Komentar yang paling membantu
Solusi: https://github.com/tensorflow/tensorflow/issues/6202#issuecomment -267445372 (ditemukan dengan mencari judul masalah Anda di github)