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A benchmark framework for Tensorflow
Hello, I have quite high end and perhaps also unusual machine to test resnet-50 performance using benchmarks suite. I have no problem with single machine test run, however I can't...
Fixing the issue: https://github.com/tensorflow/benchmarks/issues/267 Note: If not specifying `--input_data_format=NCHW` manually, all existing logic keeps unchanged.
Current benchmark is based on an assumption that input data are always in NHWC format (via tf.image), so when the model is asked to train models in NCHW format, it...
Will there not be a cnn_tf_vX.Y_compatible branch for each release of TensorFlow? If there is not a 'compatible' branch for a new TF release, does that mean the release will...
Hi all: I needed to make two minor fixes to run these benchmarks in a fresh TF1.10 (conda pkg) install: 1. Update three relocated imports (report to Tensorflow), and 2....
Would really appreciate it if the successful hyper-parameters were provided, i.e., how the learning rate should be initialized and decayed. I re-implemented ResNet-50 following the example. But I am trying...
What is the difference between forward_only and evaluation?
I'm running tf_cnn_benchmarks.py with python 3 with the resnet56 model and CIFAR10 data and am getting an error during the data loading: ``` Traceback (most recent call last): File "tf_cnn_benchmarks.py",...
hi, I run benchmark on my cluster with model VGG-11、16、19 in distributed mode(1 ps and 4 worker). The accuracy do not increase. the optimizer settings are: optimizer : rmsprop init_learning_rate...
I am using variable length data so I need to parse using tf.VarLenFeature. I migrated to tf 1.8 and still the same problem. The training crushes and it is killed...