Unable to build Docker image

[mneri]

I'm following this guide. At step 2 I'm required to execute

$ bash scripts/docker/build.sh

The build process stops with the following error.

/home/mneri/DeepLearningExamples/TensorFlow/LanguageModeling/BERT
Sending build context to Docker daemon  8.044MB
Step 1/19 : ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:19.08-py3
Step 2/19 : FROM tensorrtserver_client as trt
 ---> 84175a32350e
Step 3/19 : FROM ${FROM_IMAGE_NAME}
 ---> be978d32a5c3
Step 4/19 : RUN apt-get update && apt-get install -y pbzip2 pv bzip2 libcurl3
 ---> Using cache
 ---> f7f50d50b5e1
Step 5/19 : RUN pip install toposort networkx pytest nltk tqdm html2text progressbar
 ---> Using cache
 ---> 30901b40e4f1
Step 6/19 : WORKDIR /workspace
 ---> Using cache
 ---> 6cb5e32e2af4
Step 7/19 : RUN git clone https://github.com/openai/gradient-checkpointing.git
 ---> Using cache
 ---> 3dc52fd16594
Step 8/19 : RUN git clone https://github.com/attardi/wikiextractor.git
 ---> Using cache
 ---> 379e5ceca17a
Step 9/19 : RUN git clone https://github.com/soskek/bookcorpus.git
 ---> Using cache
 ---> 6eb3b8889d2b
Step 10/19 : RUN git clone https://github.com/titipata/pubmed_parser
 ---> Using cache
 ---> 0561e50dcaff
Step 11/19 : RUN pip3 install /workspace/pubmed_parser
 ---> Using cache
 ---> dc5deb716eb6
Step 12/19 : COPY --from=trt /workspace/install/ /workspace/install/
COPY failed: stat /var/lib/docker/overlay2/bc0fd600b2c907c9e02b76d1ca25ba0b96a7d8ce04fd3474698838175d8614a0/merged/workspace/install: no such file or directory

I'm executing this from a standard Ubuntu release:

$ lsb_release -a
Distributor ID: Ubuntu
Description:    Ubuntu 18.04.3 LTS
Release:        18.04
Codename:       bionic

[gigony]

Build script seems to use the lastest trtis_client (by building), instead of using versioned binaries.

Would the following change help?

diff --git a/TensorFlow/LanguageModeling/BERT/Dockerfile b/TensorFlow/LanguageModeling/BERT/Dockerfile
index f9044f5..73f1cd9 100644
--- a/TensorFlow/LanguageModeling/BERT/Dockerfile
+++ b/TensorFlow/LanguageModeling/BERT/Dockerfile
@@ -1,10 +1,8 @@
 ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:19.08-py3
 
-FROM tensorrtserver_client as trt
-
 FROM ${FROM_IMAGE_NAME}
 
:...skipping...
diff --git a/TensorFlow/LanguageModeling/BERT/Dockerfile b/TensorFlow/LanguageModeling/BERT/Dockerfile
index f9044f5..73f1cd9 100644
--- a/TensorFlow/LanguageModeling/BERT/Dockerfile
+++ b/TensorFlow/LanguageModeling/BERT/Dockerfile
@@ -1,10 +1,8 @@
 ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:19.08-py3
 
-FROM tensorrtserver_client as trt
-
 FROM ${FROM_IMAGE_NAME}
 
-RUN apt-get update && apt-get install -y pbzip2 pv bzip2 libcurl3
+RUN apt-get update && apt-get install -y pbzip2 pv bzip2 libcurl4 curl
 
 RUN pip install toposort networkx pytest nltk tqdm html2text progressbar
 
@@ -16,8 +14,10 @@ RUN git clone https://github.com/titipata/pubmed_parser
 
 RUN pip3 install /workspace/pubmed_parser
 
-#Copy the perf_client over
-COPY --from=trt /workspace/install/ /workspace/install/
+# Download TRTIS Client
+ARG TRTIS_CLIENTS_URL=https://github.com/NVIDIA/tensorrt-inference-server/releases/download/v1.5.0/v1.5.0_ubuntu1804.clients.tar.gz
+RUN mkdir -p /workspace/install \
+    && curl -L ${TRTIS_CLIENTS_URL} | tar xvz -C /workspace/install
 
 #Install the python wheel with pip
 RUN pip install /workspace/install/python/tensorrtserver*.whl
diff --git a/TensorFlow/LanguageModeling/BERT/scripts/docker/build.sh b/TensorFlow/LanguageModeling/BERT/scripts/docker/build.sh
index d14b1b3..4430b47 100755
--- a/TensorFlow/LanguageModeling/BERT/scripts/docker/build.sh
+++ b/TensorFlow/LanguageModeling/BERT/scripts/docker/build.sh
@@ -2,8 +2,4 @@
 
 docker pull nvcr.io/nvidia/tensorrtserver:19.08-py3
 
-#Will have to update submodule from root
-git submodule update --init --recursive
-cd tensorrt-inference-server && docker build -t tensorrtserver_client -f Dockerfile.client . && cd -
-
 docker build . --rm -t bert

[mneri]

I was finally able to build the Docker image.

For future reference, here's the Dockerfile and the scripts/docker/build.sh:

ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:19.08-py3

#FROM tensorrtserver_client as trt

FROM ${FROM_IMAGE_NAME}

#RUN apt-get update && apt-get install -y pbzip2 pv bzip2 libcurl3
RUN apt-get update && apt-get install -y pbzip2 pv bzip2 libcurl4 curl

RUN pip install toposort networkx pytest nltk tqdm html2text progressbar

WORKDIR /workspace
RUN git clone https://github.com/openai/gradient-checkpointing.git
RUN git clone https://github.com/attardi/wikiextractor.git
RUN git clone https://github.com/soskek/bookcorpus.git
RUN git clone https://github.com/titipata/pubmed_parser

RUN pip3 install /workspace/pubmed_parser

#Copy the perf_client over
#COPY --from=trt /workspace/install/ /workspace/install/
ARG TRTIS_CLIENTS_URL=https://github.com/NVIDIA/tensorrt-inference-server/releases/download/v1.5.0/v1.5.0_ubuntu1804.clients.tar.gz
RUN mkdir -p /workspace/install \
    && curl -L ${TRTIS_CLIENTS_URL} | tar xvz -C /workspace/install


#Install the python wheel with pip
RUN pip install /workspace/install/python/tensorrtserver*.whl

WORKDIR /workspace/bert
COPY . .

ENV PYTHONPATH /workspace/bert
ENV BERT_PREP_WORKING_DIR /workspace/bert/data
ENV PATH //workspace/install/bin:${PATH}
ENV LD_LIBRARY_PATH /workspace/install/lib:${LD_LIBRARY_PATH}

#!/bin/bash

docker pull nvcr.io/nvidia/tensorrtserver:19.08-py3

#Will have to update submodule from root
#git submodule update --init --recursive
#cd tensorrt-inference-server && docker build -t tensorrtserver_client -f Dockerfile.client . && cd -

docker build . --rm -t bert

[arnepeine]

Worked!Thanks!