Replace pytorch location for cuda 11

recommenders/README.md

@@ -57,7 +57,7 @@ For manual installation of the necessary requirements see [TensorFlow](https://w
 
 When installing with GPU support you will need to point to the PyTorch index to ensure you are downloading a version of PyTorch compiled with CUDA support. This can be done using the --find-links or -f option below.
 
-`pip install --no-cache --no-binary scikit-surprise recommenders[gpu] -f https://download.pytorch.org/whl/cu100/torch_stable.html`
+`pip install --no-cache --no-binary scikit-surprise recommenders[gpu] -f https://download.pytorch.org/whl/cu111/torch_stable.html`
 
 ## Experimental dependencies
 

tests/ci/azure_pipeline_test/dsvm_nightly_linux_gpu.yml

@@ -32,6 +32,6 @@ extends:
     timeout: 240
     conda_env: "nightly_linux_gpu"
     conda_opts: "python=3.6 -c conda-forge cudatoolkit=11.2 cudnn=8.1"
-    pip_opts: "[gpu,examples,dev]  -f https://download.pytorch.org/whl/cu100/torch_stable.html"
+    pip_opts: "[gpu,examples,dev]  -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "not spark and gpu"
     pytest_params: "-x"

tests/ci/azure_pipeline_test/dsvm_notebook_linux_gpu.yml

@@ -60,5 +60,5 @@ extends:
     task_name: "Test - Unit Notebook Linux GPU"
     conda_env: "unit_notebook_linux_gpu"
     conda_opts: "python=3.6 -c conda-forge cudatoolkit=11.2 cudnn=8.1"
-    pip_opts: "[gpu,examples,dev]  -f https://download.pytorch.org/whl/cu100/torch_stable.html"
+    pip_opts: "[gpu,examples,dev]  -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "notebooks and not spark and gpu"

tests/ci/azure_pipeline_test/dsvm_unit_linux_gpu.yml

@@ -60,5 +60,5 @@ extends:
     task_name: "Test - Unit Linux GPU"
     conda_env: "unit_linux_gpu"
     conda_opts: "python=3.6 -c conda-forge cudatoolkit=11.2 cudnn=8.1"
-    pip_opts: "[gpu,dev] -f https://download.pytorch.org/whl/cu100/torch_stable.html"
+    pip_opts: "[gpu,dev] -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "not notebooks and not spark and gpu"

tests/ci/azure_pipeline_test/release_pipeline.yml

@@ -46,7 +46,7 @@ jobs:
     task_name: "Test - Unit Linux GPU"
     conda_env: "release_unit_linux_gpu"
     conda_opts: "python=3.6 -c conda-forge cudatoolkit=11.2 cudnn=8.1"
-    pip_opts: "[gpu] -f https://download.pytorch.org/whl/cu100/torch_stable.html"
+    pip_opts: "[gpu] -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "not notebooks and not spark and gpu"
     install: "release"
 
@@ -57,7 +57,7 @@ jobs:
     task_name: "Test - Unit Notebook Linux GPU"
     conda_env: "release_unit_notebook_linux_gpu"
     conda_opts: "python=3.6 -c conda-forge cudatoolkit=11.2 cudnn=8.1"
-    pip_opts: "[gpu,examples]  -f https://download.pytorch.org/whl/cu100/torch_stable.html"
+    pip_opts: "[gpu,examples]  -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "notebooks and not spark and gpu"
     install: "release"
 
@@ -106,7 +106,7 @@ jobs:
     timeout: 240
     conda_env: "release_nightly_linux_gpu"
     conda_opts: "python=3.6 -c conda-forge cudatoolkit=11.2 cudnn=8.1"
-    pip_opts: "[gpu,examples]  -f https://download.pytorch.org/whl/cu100/torch_stable.html"
+    pip_opts: "[gpu,examples]  -f https://download.pytorch.org/whl/cu111/torch_stable.html"
     pytest_markers: "not spark and gpu"
     install: "release"
 

tools/docker/Dockerfile

@@ -137,7 +137,7 @@ RUN if [ "${VIRTUAL_ENV}" = "virtualenv" ] ; then python3.7 -m virtualenv $HOME/
     pip install --no-cache --no-binary scikit-surprise recommenders[gpu,xlearn,examples]; fi
 
 RUN if [ "${VIRTUAL_ENV}" = "conda" ] ; then \
-    pip install --no-cache --no-binary scikit-surprise recommenders[gpu,xlearn,examples] -f https://download.pytorch.org/whl/cu100/torch_stable.html ; fi
+    pip install --no-cache --no-binary scikit-surprise recommenders[gpu,xlearn,examples] -f https://download.pytorch.org/whl/cu111/torch_stable.html ; fi
 
 
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