ModelError Parameter model_name is required

[akqjxx]

batch transform error:

2022-08-30T09:01:17.792:[sagemaker logs]: MaxConcurrentTransforms=1, MaxPayloadInMB=50, BatchStrategy=MULTI_RECORD 2022-08-30T09:01:17.883:[sagemaker logs]: st-s3/trainingPlatform/model/ba0ba70ebb2c48f69c61240a199f7a24/inference/dataset/21f9bb9e2a39407691bdb18e04e1b672/202208170843490.jpg: ClientError: 400 2022-08-30T09:01:17.883:[sagemaker logs]: st-s3/trainingPlatform/model/ba0ba70ebb2c48f69c61240a199f7a24/inference/dataset/21f9bb9e2a39407691bdb18e04e1b672/202208170843490.jpg: 2022-08-30T09:01:17.883:[sagemaker logs]: st-s3/trainingPlatform/model/ba0ba70ebb2c48f69c61240a199f7a24/inference/dataset/21f9bb9e2a39407691bdb18e04e1b672/202208170843490.jpg: Message: 2022-08-30T09:01:17.883:[sagemaker logs]: st-s3/trainingPlatform/model/ba0ba70ebb2c48f69c61240a199f7a24/inference/dataset/21f9bb9e2a39407691bdb18e04e1b672/202208170843490.jpg: { 2022-08-30T09:01:17.883:[sagemaker logs]: st-s3/trainingPlatform/model/ba0ba70ebb2c48f69c61240a199f7a24/inference/dataset/21f9bb9e2a39407691bdb18e04e1b672/202208170843490.jpg: "code": 400, 2022-08-30T09:01:17.884:[sagemaker logs]: st-s3/trainingPlatform/model/ba0ba70ebb2c48f69c61240a199f7a24/inference/dataset/21f9bb9e2a39407691bdb18e04e1b672/202208170843490.jpg: "type": "BadRequestException", 2022-08-30T09:01:17.884:[sagemaker logs]: st-s3/trainingPlatform/model/ba0ba70ebb2c48f69c61240a199f7a24/inference/dataset/21f9bb9e2a39407691bdb18e04e1b672/202208170843490.jpg: "message": "Parameter model_name is required." 2022-08-30T09:01:17.884:[sagemaker logs]: st-s3/trainingPlatform/model/ba0ba70ebb2c48f69c61240a199f7a24/inference/dataset/21f9bb9e2a39407691bdb18e04e1b672/202208170843490.jpg: }

-------------------------------------------------my dockerfile is-------------------------------------------------

FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04

NCCL_VERSION=2.4.7, CUDNN_VERSION=7.6.2.24 LABEL maintainer="Amazon AI" LABEL dlc_major_version="1" LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true

Add arguments to achieve the version, python and url ARG PYTHON=python3 ARG PYTHON_VERSION=3.7.3 ARG OPEN_MPI_VERSION=4.0.1 ARG TS_VERSION="0.3.1" ARG PT_INFERENCE_URL=https://aws-pytorch-binaries.s3-us-west-2.amazonaws.com/r1.6.0_inference/20200727-223446/b0251e7e070e57f34ee08ac59ab4710081b41918/gpu/torch-1.6.0-cp36-cp36m-manylinux1_x86_64.whl ARG PT_VISION_URL=https://torchvision-build.s3.amazonaws.com/1.6.0/gpu/torchvision-0.7.0-cp36-cp36m-linux_x86_64.whl

See http://bugs.python.org/issue19846 ENV LANG C.UTF-8 ENV LD_LIBRARY_PATH /opt/conda/lib/:$LD_LIBRARY_PATH ENV PATH /opt/conda/bin:$PATH ENV SAGEMAKER_SERVING_MODULE sagemaker_pytorch_serving_container.serving:main ENV TEMP=/home/model-server/tmp

RUN apt-get update && apt-get install -y --no-install-recommends software-properties-common && add-apt-repository ppa:openjdk-r/ppa && apt-get update && apt-get install -y --allow-downgrades --allow-change-held-packages --no-install-recommends build-essential ca-certificates cmake curl emacs git jq libgl1-mesa-glx libglib2.0-0 libgomp1 libibverbs-dev libnuma1 libnuma-dev libsm6 libxext6 libxrender-dev openjdk-11-jdk vim wget unzip zlib1g-dev

https://github.com/docker-library/openjdk/issues/261 https://github.com/docker-library/openjdk/pull/263/files RUN keytool -importkeystore -srckeystore /etc/ssl/certs/java/cacerts -destkeystore /etc/ssl/certs/java/cacerts.jks -deststoretype JKS -srcstorepass changeit -deststorepass changeit -noprompt; mv /etc/ssl/certs/java/cacerts.jks /etc/ssl/certs/java/cacerts; /var/lib/dpkg/info/ca-certificates-java.postinst configure;

RUN wget https://www.open-mpi.org/software/ompi/v4.0/downloads/openmpi-$OPEN_MPI_VERSION.tar.gz && gunzip -c openmpi-$OPEN_MPI_VERSION.tar.gz | tar xf - && cd openmpi-$OPEN_MPI_VERSION && ./configure --prefix=/home/.openmpi && make all install && cd .. && rm openmpi-$OPEN_MPI_VERSION.tar.gz && rm -rf openmpi-$OPEN_MPI_VERSION

ENV PATH="$PATH:/home/.openmpi/bin" ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/home/.openmpi/lib/"

Install OpenSSH. Allow OpenSSH to talk to containers without asking for confirmation RUN apt-get install -y --no-install-recommends openssh-client openssh-server && mkdir -p /var/run/sshd && cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && echo " StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && mv /etc/ssh/ssh_config.new /etc/ssh/ssh_configs

RUN curl -L -o ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-4.6.14-Linux-x86_64.sh && chmod +x ~/miniconda.sh && ~/miniconda.sh -b -p /opt/conda && rm ~/miniconda.sh RUN /opt/conda/bin/conda update conda && /opt/conda/bin/conda install -c conda-forge python=$PYTHON_VERSION && /opt/conda/bin/conda install -y cython==0.29.12 ipython==7.7.0 mkl-include==2019.4 mkl==2019.4 numpy==1.19.1 scipy==1.3.0 typing==3.6.4 && /opt/conda/bin/conda clean -ya

RUN conda install -c pytorch magma-cuda101 && conda install -c conda-forge opencv==4.0.1 && conda install -y scikit-learn==0.21.2 pandas==0.25.0 h5py==2.9.0 requests==2.22.0 && conda clean -ya && /opt/conda/bin/conda config --set ssl_verify False && pip install --upgrade pip --trusted-host pypi.org --trusted-host files.pythonhosted.org && ln -s /opt/conda/bin/pip /usr/local/bin/pip3 && pip install packaging==20.4 enum-compat==0.0.3 ruamel-yaml

Uninstall and re-install torch and torchvision from the PyTorch website RUN pip install --no-cache-dir -U https://pypi.tuna.tsinghua.edu.cn/packages/5d/5e/35140615fc1f925023f489e71086a9ecc188053d263d3594237281284d82/torch-1.6.0-cp37-cp37m-manylinux1_x86_64.whl#sha256=87d65c01d1b70bb46070824f28bfd93c86d3c5c56b90cbbe836a3f2491d91c76 RUN pip uninstall -y torchvision && pip install --no-deps --no-cache-dir -U https://mirrors.aliyun.com/pypi/packages/4d/b5/60d5eb61f1880707a5749fea43e0ec76f27dfe69391cdec953ab5da5e676/torchvision-0.7.0-cp37-cp37m-manylinux1_x86_64.whl#sha256=0d1a5adfef4387659c7a0af3b72e16caa0c67224a422050ab65184d13ac9fb13

RUN pip uninstall -y model-archiver multi-model-server && pip install captum && pip install torchserve==$TS_VERSION && pip install torch-model-archiver==$TS_VERSION

RUN useradd -m model-server && mkdir -p /home/model-server/tmp /opt/ml/model && chown -R model-server /home/model-server /opt/ml/model

COPY torchserve-entrypoint.py /usr/local/bin/dockerd-entrypoint.py COPY config.properties /home/model-server

RUN chmod +x /usr/local/bin/dockerd-entrypoint.py

ADD https://raw.githubusercontent.com/aws/deep-learning-containers/master/src/deep_learning_container.py /usr/local/bin/deep_learning_container.py

RUN chmod +x /usr/local/bin/deep_learning_container.py

RUN pip install --no-cache-dir "sagemaker-pytorch-inference>=2"

RUN curl https://aws-dlc-licenses.s3.amazonaws.com/pytorch-1.6.0/license.txt -o /license.txt

RUN conda install -y -c conda-forge "pyyaml>5.4,<5.5" RUN pip install pillow==8.2.0 "awscli<2"

RUN python3 -m pip install detectron2==0.4 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.6/index.html

RUN HOME_DIR=/root && curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip && unzip {HOME_DIR}/ && cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance && chmod +x /usr/local/bin/testOSSCompliance && chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh && {HOME_DIR} ${PYTHON} && rm -rf ${HOME_DIR}/oss_compliance*

EXPOSE 8080 8081 ENTRYPOINT ["python", "/usr/local/bin/dockerd-entrypoint.py"] CMD ["torchserve", "--start", "--ts-config", "/home/model-server/config.properties", "--model-store", "/home/model-server/"]