UnavailableError: Can't provision more than one single cluster at a time

AI & Data Science Deep Learning (Training & Inference) TensorRT
1 
FP32_SAVED_MODEL_DIR = SAVED_MODEL_DIR+"_TFTRT_FP32/1"
!rm -rf $FP32_SAVED_MODEL_DIR
tf.keras.backend.set_learning_phase(0)
#Now we create the TFTRT FP32 engine
trt.create_inference_graph(
    input_graph_def=None,
    outputs=None,
    max_batch_size=1,
    input_saved_model_dir=SAVED_MODEL_DIR,
    output_saved_model_dir=FP32_SAVED_MODEL_DIR,
    precision_mode="FP32")

benchmark_saved_model(FP32_SAVED_MODEL_DIR, BATCH_SIZE=1)

my GPU is RTX 2080ti,
my CUDA is: Cuda compilation tools, release 10.0, V10.0.130
and tensorflow-gpu==1.14.0

and i use the docker containers : nvcr.io/nvidia/tensorflow:19.08-py3

2

Hi,

Can you share the detailed error logs?
If possible could you please share the sample script and model file to reproduce the issue?

Thanks