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Building the Server Failed

See original GitHub issue

sudo docker build --pull -t tensorrtserver_build --target trtserver_build .

then the error is as below

Analyzing: 25 targets (182 packages loaded, 10303 targets configured) Analyzing: 25 targets (182 packages loaded, 10303 targets configured) ERROR: /root/.cache/bazel/_bazel_root/eab0d61a99b6696edb3d2aff87b585e8/external/org_tensorflow/tensorflow/workspace.bzl:896:5: no such package '@grpc//': java.io.IOException: thread interrupted and referenced by '//external:grpc_python_plugin' ERROR: Analysis of target '//src/clients/python:build_pip' failed; build aborted: Analysis failed INFO: Elapsed time: 168.496s INFO: 0 processes. FAILED: Build did NOT complete successfully (182 packages loaded, 10303 targets configured) FAILED: Build did NOT complete successfully (182 packages loaded, 10303 targets configured)

some env information is as below

Docker version 18.09.0, build 4d60db4 tensorrtserver 19.02-py3 cuda 10 cudnn 7.3 cuda Driver Version: 410.48 bazel version : Build label: 0.20.0- (@non-git)

Issue Analytics

State:
Created 5 years ago
Comments:12 (5 by maintainers)

Top GitHub Comments

6reactions

levinxocommented, Nov 23, 2020

@nikhil-salodkar You could try trtserver instead of tritonserver

3reactions

deadeyegoodwincommented, Jun 8, 2020

You need to specify an executable when you use docker:

nvcr.io/nvidia/tritonserver:20.03.1-py3 tritonserver --model-repository=/models

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