fix conda problems

scripts/conda/mindspore-ascend/1.5.0/meta.yaml

@@ -1,9 +1,16 @@
 package:
   name: mindspore-ascend
-  version: "1.5.0-rc1"
+  version: "1.5.0rc1"
 
 build:
   number: 0
+  rpaths:
+    - /usr/local/Ascend/nnae/latest/fwkacllib/lib64
+    - /usr/local/Ascend/ascend-toolkit/latest/fwkacllib/lib64
+    - /usr/local/Ascend/fwkacllib/lib64
+    - /usr/local/Ascend/opp/op_impl/built-in/ai_core/tbe/op_tiling
+    - /usr/local/Ascend/nnae/latest/opp/op_impl/built-in/ai_core/tbe/op_tiling
+    - /usr/local/Ascend/ascend-toolkit/latest/opp/op_impl/built-in/ai_core/tbe/op_tiling
 
 requirements:
   build:

scripts/conda/mindspore-cpu/1.5.0/meta.yaml

@@ -1,6 +1,6 @@
 package:
   name: mindspore-cpu
-  version: "1.5.0-rc1"
+  version: "1.5.0rc1"
 
 build:
   number: 0

scripts/conda/mindspore-gpu/1.5.0/py37/cuda10.1/meta.yaml

@@ -1,17 +1,17 @@
 package:
   name: mindspore-gpu
-  version: "1.5.0-rc1"
+  version: "1.5.0rc1"
 
 build:
   number: 0
-  string: cuda10.1
+  string: py37_cuda10.1
 
 requirements:
   build:
-    - python
+    - python>=3.7, <3.8
     - pip
   run:
-    - python
+    - python>=3.7, <3.8
     - numpy >=1.17.0
     - protobuf >=3.13.0
     - asttokens >=1.1.13

scripts/conda/mindspore-gpu/1.5.0/py37/cuda11.1/meta.yaml

@@ -1,17 +1,17 @@
 package:
   name: mindspore-gpu
-  version: "1.5.0-rc1"
+  version: "1.5.0rc1"
 
 build:
   number: 0
-  string: cuda11.1
+  string: py37_cuda11.1
 
 requirements:
   build:
-    - python
+    - python>=3.7, <3.8
     - pip
   run:
-    - python
+    - python>=3.7, <3.8
     - numpy >=1.17.0
     - protobuf >=3.13.0
     - asttokens >=1.1.13

scripts/conda/mindspore-gpu/1.5.0/py39/cuda10.1/build.sh

@@ -0,0 +1,15 @@
+#!/bin/bash
+
+# install MindSpore-GPU using pip
+if [ "$(uname)" == Linux ]; then
+    if [ "$PY_VER" == "3.7" ]; then
+        echo "building conda package for python3.7"
+        pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.5.0-rc1/MindSpore/gpu/x86_64/cuda-10.1/mindspore_gpu-1.5.0rc1-cp37-cp37m-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
+    elif [ "$PY_VER" == "3.9" ]; then
+        echo "building conda package for python3.9"
+        pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.5.0-rc1/MindSpore/gpu/x86_64/cuda-10.1/mindspore_gpu-1.5.0rc1-cp39-cp39-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
+    else
+        echo "ERROR: you are trying to build MindSpore conda package on a unsupported python environment, try python 3.7 or 3.9"
+        exit 1
+    fi
+fi

scripts/conda/mindspore-gpu/1.5.0/py39/cuda10.1/meta.yaml

@@ -0,0 +1,32 @@
+package:
+  name: mindspore-gpu
+  version: "1.5.0rc1"
+
+build:
+  number: 0
+  string: py39_cuda10.1
+
+requirements:
+  build:
+    - python>=3.9, <3.10
+    - pip
+  run:
+    - python>=3.9, <3.10
+    - numpy >=1.17.0
+    - protobuf >=3.13.0
+    - asttokens >=1.1.13
+    - pillow >=6.2.0
+    - scipy >=1.5.2
+    - cffi >=1.12.3
+    - wheel >=0.32.0
+    - decorator >=4.4.0
+    - setuptools >=40.8.0
+    - astunparse >=1.6.3
+    - packaging >=20.0
+    - psutil >=5.7.0
+    - cudatoolkit >=10.1, <10.2
+
+about:
+  home: https://www.mindspore.cn/
+  license: Apache 2.0
+  summary: MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

scripts/conda/mindspore-gpu/1.5.0/py39/cuda11.1/build.sh

@@ -0,0 +1,15 @@
+#!/bin/bash
+
+# install MindSpore-GPU using pip
+if [ "$(uname)" == Linux ]; then
+    if [ "$PY_VER" == "3.7" ]; then
+        echo "building conda package for python3.7"
+        pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.5.0-rc1/MindSpore/gpu/x86_64/cuda-11.1/mindspore_gpu-1.5.0rc1-cp37-cp37m-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
+    elif [ "$PY_VER" == "3.9" ]; then
+        echo "building conda package for python3.9"
+        pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.5.0-rc1/MindSpore/gpu/x86_64/cuda-11.1/mindspore_gpu-1.5.0rc1-cp39-cp39-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
+    else
+        echo "ERROR: you are trying to build MindSpore conda package on a unsupported python environment, try python 3.7 or 3.9"
+        exit 1
+    fi
+fi

scripts/conda/mindspore-gpu/1.5.0/py39/cuda11.1/meta.yaml

@@ -0,0 +1,32 @@
+package:
+  name: mindspore-gpu
+  version: "1.5.0rc1"
+
+build:
+  number: 0
+  string: py39_cuda11.1
+
+requirements:
+  build:
+    - python>=3.9, <3.10
+    - pip
+  run:
+    - python>=3.9, <3.10
+    - numpy >=1.17.0
+    - protobuf >=3.13.0
+    - asttokens >=1.1.13
+    - pillow >=6.2.0
+    - scipy >=1.5.2
+    - cffi >=1.12.3
+    - wheel >=0.32.0
+    - decorator >=4.4.0
+    - setuptools >=40.8.0
+    - astunparse >=1.6.3
+    - packaging >=20.0
+    - psutil >=5.7.0
+    - cudatoolkit >=11.1, <11.2
+
+about:
+  home: https://www.mindspore.cn/
+  license: Apache 2.0
+  summary: MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.