diff --git a/smoke_test.sh b/smoke_test.sh
deleted file mode 100755
index e2459b49d..000000000
--- a/smoke_test.sh
+++ /dev/null
@@ -1,197 +0,0 @@
-#!/bin/bash
-set -eux -o pipefail
-SOURCE_DIR=$(cd $(dirname $0) && pwd)
-
-# This is meant to be run in either a docker image or in a Mac. This assumes an
-# environment that will be teared down after execution is finishes, so it will
-# probably mess up what environment it runs in.
-
-# This is now only meant to be run in CircleCI, after calling the
-# .circleci/scripts/binary_populate_env.sh . You can call this manually if you
-# make sure all the needed variables are still populated.
-
-# Function to retry functions that sometimes timeout or have flaky failures
-retry () {
-    $*  || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
-}
-
-if ! [ -x "$(command -v curl)" ]; then
-    if [ -f /etc/lsb-release ]; then
-      # TODO: Remove this once nvidia package repos are back online
-      # Comment out nvidia repositories to prevent them from getting apt-get updated, see https://github.com/pytorch/pytorch/issues/74968
-      # shellcheck disable=SC2046
-      sed -i 's/.*nvidia.*/# &/' $(find /etc/apt/ -type f -name "*.list")
-
-      apt-get update
-      apt-get install -y curl
-    fi
-fi
-
-# Use today's date if none is given
-if [[ -z "${DATE:-}" || "${DATE:-}" == 'today' ]]; then
-    DATE="$(date +%Y%m%d)"
-fi
-
-# DESIRED_PYTHON is in format 2.7m?u?
-# DESIRED_CUDA is in format cu80 (or 'cpu')
-
-if [[ "$DESIRED_CUDA" == cpu ]]; then
-  export USE_CUDA=0
-else
-  export USE_CUDA=1
-fi
-
-# Generate M.m formats for CUDA and Python versions
-if [[ "$DESIRED_CUDA" != cpu ]]; then
-  cuda_dot="$(echo $DESIRED_CUDA | tr -d 'cpu')"
-  if [[ "${#cuda_dot}" == 2 ]]; then
-    cuda_dot="${cuda_dot:0:1}.${cuda_dot:1}"
-  else
-    cuda_dot="${cuda_dot:0:2}.${cuda_dot:2}"
-  fi
-fi
-py_dot="${DESIRED_PYTHON:0:3}"
-
-# Generate "long" python versions cp27-cp27mu
-py_long="cp${DESIRED_PYTHON:0:1}${DESIRED_PYTHON:2:1}-cp${DESIRED_PYTHON:0:1}${DESIRED_PYTHON:2}"
-# TODO: I know this is the wrong way to do this translation, we should probably fix it upstream, but this is the quickest way
-if [[ "${py_long}" = "cp38-cp38m" ]]; then
-  py_long="cp38-cp38"
-fi
-
-# Determine package name
-if [[ "$PACKAGE_TYPE" == 'libtorch' ]]; then
-  if [[ "$(uname)" == Darwin ]]; then
-    libtorch_variant='macos'
-  elif [[ -z "${LIBTORCH_VARIANT:-}" ]]; then
-    echo "No libtorch variant given. This smoke test does not know which zip"
-    echo "to download."
-    exit 1
-  else
-    libtorch_variant="$LIBTORCH_VARIANT"
-  fi
-  if [[ "$DESIRED_DEVTOOLSET" == *"cxx11-abi"* ]]; then
-      LIBTORCH_ABI="cxx11-abi-"
-  else
-      LIBTORCH_ABI=
-  fi
-  if [[ "$DESIRED_CUDA" == 'cu102' || "$libtorch_variant" == 'macos' ]]; then
-    package_name="libtorch-$LIBTORCH_ABI$libtorch_variant-${NIGHTLIES_DATE_PREAMBLE}${DATE}.zip"
-  else
-    package_name="libtorch-$LIBTORCH_ABI$libtorch_variant-${NIGHTLIES_DATE_PREAMBLE}${DATE}%2B${DESIRED_CUDA}.zip"
-  fi
-
-elif [[ "$PACKAGE_TYPE" == *wheel ]]; then
-  package_name='torch'
-else
-  package_name='pytorch'
-fi
-if [[ "$(uname)" == 'Darwin' ]] || [[ "$DESIRED_CUDA" == "cu102" ]] || [[ "$PACKAGE_TYPE" == 'conda' ]]; then
-  package_name_and_version="${package_name}==${NIGHTLIES_DATE_PREAMBLE}${DATE}"
-else
-  # Linux binaries have the cuda version appended to them. This is only on
-  # linux, since all macos builds are cpu.  (NB: We also omit
-  # DESIRED_CUDA if it's the default)
-  package_name_and_version="${package_name}==${NIGHTLIES_DATE_PREAMBLE}${DATE}+${DESIRED_CUDA}"
-fi
-
-# Switch to the desired python
-if [[ "$PACKAGE_TYPE" == 'conda' || "$(uname)" == 'Darwin' ]]; then
-  # Create a new conda env in conda, or on MacOS
-  conda create -yn test python="$py_dot" && source activate test
-  python_version=$(python --version 2>&1)
-  dependencies="numpy protobuf six requests"
-  case ${python_version} in
-    *3.6.*)
-      dependencies="${dependencies} future dataclasses"
-      ;;
-  esac
-  conda install -yq ${dependencies}
-else
-  export PATH=/opt/python/${py_long}/bin:$PATH
-  if [[ "$(python --version 2>&1)" == *3.6.* ]]; then
-    retry pip install -q future numpy protobuf six requests dataclasses
-  else
-    retry pip install -q future numpy protobuf six requests
-  fi
-fi
-
-# Switch to the desired CUDA if using the conda-cuda Docker image
-if [[ "$PACKAGE_TYPE" == 'conda' ]]; then
-  rm -rf /usr/local/cuda || true
-  if [[ "$DESIRED_CUDA" != 'cpu' ]]; then
-    ln -s "/usr/local/cuda-${cuda_dot}" /usr/local/cuda
-    export CUDA_VERSION=$(ls /usr/local/cuda/lib64/libcudart.so.*|sort|tac | head -1 | rev | cut -d"." -f -3 | rev) # 10.0.130
-    export CUDA_VERSION_SHORT=$(ls /usr/local/cuda/lib64/libcudart.so.*|sort|tac | head -1 | rev | cut -d"." -f -3 | rev | cut -f1,2 -d".") # 10.0
-    export CUDNN_VERSION=$(ls /usr/local/cuda/lib64/libcudnn.so.*|sort|tac | head -1 | rev | cut -d"." -f -3 | rev)
-  fi
-fi
-
-# Print some debugging info
-python --version
-pip --version
-which python
-# If you are debugging packages not found then run these commands.
-#if [[ "$PACKAGE_TYPE" == 'conda' ]]; then
-#  conda search -c pytorch "$package_name"
-#elif [[ "$PACKAGE_TYPE" == *wheel ]]; then
-#  retry curl "https://download.pytorch.org/whl/nightly/$DESIRED_CUDA/torch_nightly.html" -v
-#fi
-
-# Install the package for the requested date
-if [[ "$PACKAGE_TYPE" == 'libtorch' ]]; then
-  mkdir tmp_libtorch
-  pushd tmp_libtorch
-  libtorch_url="https://download.pytorch.org/libtorch/nightly/$DESIRED_CUDA/$package_name"
-  retry curl -o libtorch_zip "${libtorch_url}"
-  unzip -q libtorch_zip
-  cd libtorch
-elif [[ "$PACKAGE_TYPE" == 'conda' ]]; then
-    if [[ "$DESIRED_CUDA" == 'cpu' ]]; then
-	if [[ "$(uname)" == 'Darwin' ]]; then
-	    retry conda install -yq -c pytorch-nightly "$package_name_and_version"
-	else
-	    retry conda install -yq -c pytorch-nightly "$package_name_and_version" cpuonly
-	fi
-  else
-    retry conda install -yq -c pytorch-nightly "cudatoolkit=$CUDA_VERSION_SHORT" "$package_name_and_version"
-  fi
-else
-  # We need to upgrade pip now that we have '+cuver' in the package name, as
-  # old pips do not correctly change the '+' to '%2B' in the url and fail to
-  # find the package.
-  pip install --upgrade pip -q
-  pip_url="https://download.pytorch.org/whl/nightly/$DESIRED_CUDA/torch_nightly.html"
-  retry pip install "$package_name_and_version" \
-      -f "$pip_url" \
-      --no-cache-dir \
-      --no-index \
-      -q
-fi
-
-# Check that all conda features are working
-if [[ "$PACKAGE_TYPE" == 'conda' ]]; then
-  # Check that conda didn't change the Python version out from under us. Conda
-  # will do this if it didn't find the requested package for the current Python
-  # version and if nothing else has been installed in the current env.
-  if [[ -z "$(python --version 2>&1 | grep -o $py_dot)" ]]; then
-    echo "The Python version has changed to $(python --version)"
-    echo "Probably the package for the version we want does not exist"
-    echo '(conda will change the Python version even if it was explicitly declared)'
-    exit 1
-  fi
-
-  # Check that the CUDA feature is working
-  if [[ "$DESIRED_CUDA" == 'cpu' ]]; then
-    if [[ -n "$(conda list torch | grep -o cuda)" ]]; then
-      echo "The installed package is built for CUDA:: $(conda list torch)"
-      exit 1
-    fi
-  elif [[ -z "$(conda list torch | grep -o cuda$cuda_dot)" ]]; then
-    echo "The installed package doesn't seem to be built for CUDA $cuda_dot"
-    echo "The full package is $(conda list torch)"
-    exit 1
-  fi
-fi
-
-"${SOURCE_DIR}/check_binary.sh"