Switch testing to torch_test rather than torch_nightly (#4496)

* Switch testing to torch_test rather than torch_nightly

* And change upload channel to test

Author: malfet

.circleci/config.yml

@@ -39,11 +39,7 @@ commands:
       - run:
           name: adding UPLOAD_CHANNEL to BASH_ENV
           command: |
-            our_upload_channel=nightly
-            # On tags upload to test instead
-            if [[ -n "${CIRCLE_TAG}" ]]; then
-              our_upload_channel=test
-            fi
+            our_upload_channel=test
             echo "export UPLOAD_CHANNEL=${our_upload_channel}" >> ${BASH_ENV}
 
   brew_update:
@@ -199,7 +195,7 @@ jobs:
             sudo apt install -y libturbojpeg-dev
             pip install --user --progress-bar off mypy
             pip install --user --progress-bar off types-requests
-            pip install --user --progress-bar off --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
+            pip install --user --progress-bar off --pre torch -f https://download.pytorch.org/whl/test/cpu/torch_test.html
             pip install --user --progress-bar off --editable .
             mypy --config-file mypy.ini
 
@@ -232,7 +228,7 @@ jobs:
       - checkout
       - run:
           command: |
-            pip install --user --progress-bar off --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
+            pip install --user --progress-bar off --pre torch -f https://download.pytorch.org/whl/test/cpu/torch_test.html
             # need to install torchvision dependencies due to transitive imports
             pip install --user --progress-bar off .
             pip install pytest
@@ -245,7 +241,7 @@ jobs:
       - checkout
       - run:
           command: |
-            pip install --user --progress-bar off --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
+            pip install --user --progress-bar off --pre torch -f https://download.pytorch.org/whl/test/cpu/torch_test.html
             # need to install torchvision dependencies due to transitive imports
             pip install --user --progress-bar off .
             pip install --user onnx
@@ -511,7 +507,7 @@ jobs:
           command: |
             set -x
             source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
-            conda install -v -y -c pytorch-nightly pytorch
+            conda install -v -y -c pytorch-test pytorch
             conda install -v -y $(ls ~/workspace/torchvision*.tar.bz2)
       - run:
           name: smoke test
@@ -530,7 +526,7 @@ jobs:
           command: |
             set -x
             source /usr/local/etc/profile.d/conda.sh && conda activate python${PYTHON_VERSION}
-            pip install $(ls ~/workspace/torchvision*.whl) --pre -f https://download.pytorch.org/whl/nightly/torch_nightly.html
+            pip install $(ls ~/workspace/torchvision*.whl) --pre -f https://download.pytorch.org/whl/test/torch_test.html
       - run:
           name: smoke test
           command: |
@@ -575,7 +571,7 @@ jobs:
             conda create -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
             conda activate python${PYTHON_VERSION}
             conda install Pillow>=5.3.0
-            conda install -v -y -c pytorch-nightly pytorch
+            conda install -v -y -c pytorch-test pytorch
             conda install -v -y $(ls ~/workspace/torchvision*.tar.bz2)
       - run:
           name: smoke test
@@ -599,7 +595,7 @@ jobs:
             eval "$('/C/tools/miniconda3/Scripts/conda.exe' 'shell.bash' 'hook')"
             conda create -yn python${PYTHON_VERSION} python=${PYTHON_VERSION}
             conda activate python${PYTHON_VERSION}
-            pip install $(ls ~/workspace/torchvision*.whl) --pre -f https://download.pytorch.org/whl/nightly/torch_nightly.html
+            pip install $(ls ~/workspace/torchvision*.whl) --pre -f https://download.pytorch.org/whl/test/torch_test.html
       - run:
           name: smoke test
           command: |

.circleci/config.yml.in

@@ -235,7 +235,7 @@ setup_pip_pytorch_version() {
   if [[ -z "$PYTORCH_VERSION" ]]; then
     # Install latest prerelease version of torch, per our nightlies, consistent
     # with the requested cuda version
-    pip_install --pre torch -f "https://download.pytorch.org/whl/nightly/${WHEEL_DIR}torch_nightly.html"
+    pip_install --pre torch -f "https://download.pytorch.org/whl/test/${WHEEL_DIR}torch_test.html"
     if [[ "$CUDA_VERSION" == "cpu" ]]; then
       # CUDA and CPU are ABI compatible on the CPU-only parts, so strip
       # in this case
@@ -256,8 +256,8 @@ setup_pip_pytorch_version() {
 # You MUST have populated PYTORCH_VERSION_SUFFIX before hand.
 setup_conda_pytorch_constraint() {
   if [[ -z "$PYTORCH_VERSION" ]]; then
-    export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch-nightly -c pytorch"
-    export PYTORCH_VERSION="$(conda search --json 'pytorch[channel=pytorch-nightly]' | \
+    export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch-test -c pytorch"
+    export PYTORCH_VERSION="$(conda search --json 'pytorch[channel=pytorch-test]' | \
                               python -c "import os, sys, json, re; cuver = os.environ.get('CU_VERSION'); \
                                cuver_1 = cuver.replace('cu', 'cuda') if cuver != 'cpu' else cuver; \
                                cuver_2 = (cuver[:-1] + '.' + cuver[-1]).replace('cu', 'cuda') if cuver != 'cpu' else cuver; \