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Questions tagged [nvidia-titan]

11 questions
369
votes
16 answers

How to prevent tensorflow from allocating the totality of a GPU memory?

I work in an environment in which computational resources are shared, i.e., we have a few server machines equipped with a few Nvidia Titan X GPUs each. For small to moderate size models, the 12 GB of the Titan X is usually enough for 2–3 people to…
Fabien C.
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7
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1 answer

Training TensorFlow model with summary operations is much slower than without summary operations

I am training an Inception-like model using TensorFlow r1.0 with GPU Nvidia Titan X. I added some summary operations to visualize the training procedure, using code as follows: def variable_summaries(var): """Attach a lot of summaries to a Tensor…
Da Tong
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1 answer

how to decide test batch size to fully utilise NVIDIA Titan X

When training deep learning model, I found that GPU is not fully utilise if I set the train and validate(test) batch size to be same, say 32, 64, ..., 512. Then I check NVIDIA Titan X specifications: NVIDIA CUDA® Cores: 3584 Memory: 12 GB…
user2262504
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2
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0 answers

Tensorflow 1.8 on Titan X: CUDA_ERROR_INVALID_DEVICE

I have a ubuntu 16.04 installation with 2 nvidia GPUs: GPU 0: GeForce GT 610 (UUID: GPU-710e856e-358f-7b7d-95b7-e4eae7037c1f) GPU 1: GeForce GTX TITAN X (UUID: GPU-5eacd6f3-f9e4-5795-c75c-26e34ced55ce) nvidia-smi outputs: Sun Jun 10 17:21:47 2018 …
v-i-s-h
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2
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1 answer

cl::Image3D segfaults on nVidia TITAN black but not Intel openCL device?

All, I have the following lines of code for setting up a 3D image in OpenCL: const size_t NPOLYORDERS = 16; const size_t NPOLYBINS = 1024; cl::Image3D my3DImage; cl::ImageFormat imFormat(CL_R, CL_FLOAT); my3Dimage = cl::Image3D(clContext,…
stix
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2
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2 answers

Titan Z vs K40 processor?

I'm using GPUs for scientific computing. Recently Nvidia released its flagship product GeForce Titan Z. I would like to know, how this processor fairs against Tesla K40 (another NVIDIA product). I have already checked the specs but keen to know of…
Sakthi K
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While using TensorFlow 2.0.0: Error: device CUDA:0 not supported by XLA service while setting up XLA_GPU_JIT device number 0

I'm trying to run a CuDNNLSTM layer on Tesla V100-SXM2 GPU, but error appears due to TensorFlow-gpu 2.0.0 installed (can not downgrade because is a shared server). ConfigProto options are deprecated at tf 2.0.0, so previous threads like this does…
Periko
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1 answer

Does the nVidia Titan V support GPUDirect?

I was wondering if someone might be able to help me figure out if the new Titan V from nVidia support GPUDirect. As far as I can tell it seems limited to Tesla and Quadro cards. Thank you for taking the time to read this.
kuwze
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1
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1 answer

cudaError_t 1 : "__global__ function call is not configured" returned from 'cublasCreate(&handle_)'

I run ASR experiment using Kaldi on SGE cluster consisting of two workstation with TITAN XP. And randomly I meet the following problem: ERROR (nnet3-train[5.2.62~4-a2342]:FinalizeActiveGpu():cu-device.cc:217) cudaError_t 1 : "__global__ function…
haibing cao
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0 answers

GPU Nvidia-Titan X takes too much time to train my network. Works fine with tf cnn-benchmarks

My code is pasted below: #-------NETWORK 1--------------- network1 = Sequential() #Dense layers - 1st param is output network1.add(Dense(2048, input_shape=(8500,),name="dense_one")) network1.add(Dense(2048,activation='sigmoid',name =…
deeplearning
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Nvidia Titan X (Pascal) Tensorflow Windows 10

My Operating System is Windows 10 and I am using Keras with Tensorflow backend on CPU. I want to buy the "Nvidia Titan x (Pascal)" GPU as it is recommended for tensorflow on Nvidia…
Bruce
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