to-be-snail
to-be-snail
> Maybe something related to the GPU memory? > https://stackoverflow.com/questions/37337728/tensorflow-internalerror-blas-sgemm-launch-failed My machine is GTX2080,the GPUmemory is 8G,I dont know if i can finish the pruning...
> anything I'm sure I only run a tensorflow program at the same time and have reinstalled the tensorflow-gpu,it didn't worked.
> Could you try solutions provided in the above stack-overflow link, and see if anything helps? I'm sure I only run a tensorflow program at the same time and have...
> Maybe this one? https://stackoverflow.com/a/43130779/10611647 > gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.3) > sess = tf.Session(config=tf.ConfigProto( > allow_soft_placement=True, log_device_placement=True)) I have tried,although I'm not sure where to put it. 
> How many GPU cards do you have? only one...
> Try to reduce the batch size? I have reduced the batch_size_eval to 1
> If the error occurs in the training process, then you should reduce FLAGS.batch_size instead of FLAGS.batch_size_eval. It didn't work...
> "mobilenet_v1_at_cifar10" seems like a new model helper? Does this model helper only crash when using the `ChannelPrunedLearner`, or does it also crash with other learners during evaluation? Thanks for...
OK，I will try now,thank you!
> Can you try `FullPrecLearner` (no compression)? Oh，maybe I didn't explain clear.I have finished training on cifar10 dataset(no compression train and evaluate),then I was trying to prune my model and...