Attribute error: Assignment not allowed (no field "force_gpu_compatible" in protocol message object)

[comaniac]

I would like to use the benchmark on CPU to realize the baseline performance. However, this error showed up when generating the model. This is the command I used:

python tf_cnn_benchmarks.py --device cpu --train_dir /path/to/my/dir --eval-dir /path/to/my/dir --model alexnet

and here is the traceback:

Traceback (most recent call last):
File "tf_cnn_benchmarks.py", line 1333, in
tf.app.run()
File "/usr/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "tf_cnn_benchmarks.py", line 1329, in main
bench.run()
File "tf_cnn_benchmarks.py", line 879, in run
self._benchmark_cnn()
File "tf_cnn_benchmarks.py", line 969, in _benchmark_cnn
config=create_config_proto(),
File "tf_cnn_benchmarks.py", line 627, in create_config_proto
config.gpu_options.force_gpu_compatible = FLAGS.force_gpu_compatible

It seems like my TensorFlow configuration doesn't have this field. Would it be caused by incompatible TensorFlow version? I directly cloned both the TensorFlow and benchmarks from GitHub.

[cwhipkey]

https://www.tensorflow.org/versions/master/performance/performance_models mentions this: *Note:* tf_cnn_benchmarks.py uses the config force_gpu_compatible, which was introduced after TensorFlow 1.1. Until TensorFlow 1.2 is released building from source is advised.

…

On Tue, May 30, 2017 at 9:26 AM, Cody Hao Yu ***@***.***> wrote: I would like to use the benchmark on CPU to realize the baseline performance. However, this error showed up when generating the model. This is the command I used: python tf_cnn_benchmarks.py --device cpu --train_dir /path/to/my/dir --eval-dir /path/to/my/dir --model alexnet and here is the traceback: Traceback (most recent call last): File "tf_cnn_benchmarks.py", line 1333, in tf.app.run() File "/usr/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "tf_cnn_benchmarks.py", line 1329, in main bench.run() File "tf_cnn_benchmarks.py", line 879, in run self._benchmark_cnn() File "tf_cnn_benchmarks.py", line 969, in _benchmark_cnn config=create_config_proto(), File "tf_cnn_benchmarks.py", line 627, in create_config_proto config.gpu_options.force_gpu_compatible = FLAGS.force_gpu_compatible It seems like my TensorFlow configuration doesn't have this field. Would it be caused by incompatible TensorFlow version? I directly cloned both the TensorFlow and benchmarks from GitHub. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#23>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AQw4wRkZEPenNj5A6UXszK6e4uNy--7Sks5r_ENGgaJpZM4NqiXO> .

[tfboyd]

You can also safely comment out that line to run on TF 1.0 (might work) and TF 1.1 (will work)