fix torch install

.github/workflows/docker.yml

@@ -234,10 +234,36 @@ jobs:
       - run: |
           source ./tool.sh
           build_image py-cuda-10.0 latest docker_core/Dockerfile \
-            --build-arg "ARG_PROFILE_PYTHON=tf1,datascience,nlp,cv" \
+            --build-arg "ARG_PROFILE_PYTHON=tf1" \
             --build-arg "BASE_IMG=cuda_10.0"
           alias_image py-cuda-10.0 latest tf1 latest && push_image
 
+  qpod_tf2:
+    name: qpod/tf2
+    needs: qpod_cuda_11_2
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: |
+          source ./tool.sh
+          build_image py-cuda-11.2 latest docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_PYTHON=tf2" \
+            --build-arg "BASE_IMG=cuda_11.2"
+          alias_image py-cuda-11.2 latest tf2 latest && push_image
+
+  qpod_torch:
+    name: qpod/torch
+    needs: qpod_cuda_11_3
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - run: |
+          source ./tool.sh
+          build_image py-cuda-11.3 latest docker_core/Dockerfile \
+            --build-arg "ARG_PROFILE_PYTHON=torch" \
+            --build-arg "BASE_IMG=cuda_11.3"
+          alias_image py-cuda-11.3 latest torch latest && push_image
+
   qpod_core-cuda:
     name: qpod/core-cuda
     needs: qpod_cuda_11_3

docker_atom/work/script-setup.sh

@@ -33,7 +33,8 @@ setup_conda_postprocess() {
 }
 
 setup_conda_with_mamba() {
-  mamba install -y --root-prefix="${CONDA_PREFIX}" --prefix="${CONDA_PREFIX}" conda pip -c "conda-forge/linux-64"
+  VERSION_PTYHON=$1; shift 1;
+  mamba install -y --root-prefix="${CONDA_PREFIX}" --prefix="${CONDA_PREFIX}" -c "conda-forge" conda pip python="${VERSION_PTYHON:-3.9}"
   rm -rf /opt/conda/pkgs/*
   setup_conda_postprocess
 }

docker_core/Dockerfile

@@ -7,7 +7,7 @@ FROM ${BASE_NAMESPACE:+$BASE_NAMESPACE/}${BASE_IMG}
 
 LABEL maintainer="haobibo@gmail.com"
 
-ARG ARG_PROFILE_NODEJS=base
+ARG ARG_PROFILE_NODEJS
 
 ARG ARG_PROFILE_JAVA
 
@@ -54,15 +54,16 @@ RUN source /opt/utils/script-utils.sh \
       && ( which java       && echo "py4j  % Install py4j if Java exists" >> /opt/utils/install_list_PY_datascience.pip || true ) \
       || true ) \
  && for profile in $(echo $ARG_PROFILE_PYTHON | tr "," "\n") ; do ( install_pip "/opt/utils/install_list_PY_${profile}.pip" || true ) ; done \
- # Handle tensorflow installation 1.x/2.x, cpu/gpu
+ # Handle tensorflow installation 1.x/2.x, cpu/gpu: https://www.tensorflow.org/install/source#gpu
  && ( [[ ${ARG_PROFILE_PYTHON} == *"tf"* ]] \
       && TF=$( [ -x "$(command -v nvcc)" ] && echo "tensorflow-gpu" || echo "tensorflow") \
       && V=$([[ ${ARG_PROFILE_PYTHON} == *"tf1"* ]] && echo "1" || echo "2" ) \
       && pip install --pre -U "${TF}==${V}.*" \
       || true ) \
- # Handle pytorch installation 1.x only, cpu/gpu
+ # Handle pytorch installation 1.x only, cpu/gpu: https://pytorch.org/get-started/locally/
  && ( [[ ${ARG_PROFILE_PYTHON} == *"torch"* ]] \
-      && IDX=$( [ -x "$(command -v nvcc)" ] && echo "cu${CUDA_VER//./}" || echo "cpu" ) \
+      && CUDA_VER=$(echo "${CUDA_VERSION:0:4}" | sed 's/\.//' ) \
+      && IDX=$( [ -x "$(command -v nvcc)" ] && echo "cu${CUDA_VER:-113}" || echo "cpu" ) \
       && pip install --pre -U torch -f "https://download.pytorch.org/whl/${IDX}/torch_stable.html" \
       || true )
 

docker_core/work/install_list_PY_nlp.pip

@@ -1,6 +1,5 @@
 % This file contains python packages to be installed with pip line by line.
 % Use percent char as line comment separator.
 
-pyparsing astroid       % Parsing, AST
-nltk spacy PyStemmer    % NLP
-transformers            % transformers
+pyparsing astroid nltk  % Parsing, AST
+transformers datasets   % transformers