refactor!: Updating bazel version for py build container

BREAKING CHANGE: This change updates the bazel version
to build Torch-TensorRT to 4.2.1.

This was done since the only version of bazel available
in our build container for python apis is 4.2.1

Signed-off-by: Naren Dasan <[email protected]>
Signed-off-by: Naren Dasan <[email protected]>

Author: narendasan

.bazelversion

@@ -1 +1 @@
-4.0.0
+4.2.1

WORKSPACE

@@ -41,7 +41,7 @@ local_repository(
 new_local_repository(
     name = "cuda",
     build_file = "@//third_party/cuda:BUILD",
-    path = "/usr/local/cuda-11.1/",
+    path = "/usr/local/cuda-11.3/",
 )
 
 new_local_repository(

docsrc/tutorials/installation.rst

@@ -52,7 +52,7 @@ Torch-TensorRT is built with Bazel, so begin by installing it.
 
     .. code-block:: shell
 
-        export BAZEL_VERSION=$(cat <PATH_TO_TRTORCH_ROOT>/.bazelversion)
+        export BAZEL_VERSION=$(cat <PATH_TO_TORCHTRT_ROOT>/.bazelversion)
         mkdir bazel
         cd bazel
         curl -fSsL -O https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-dist.zip
@@ -237,7 +237,7 @@ Install or compile a build of PyTorch/LibTorch for aarch64
 
 NVIDIA hosts builds the latest release branch for Jetson here:
 
-    https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-9-0-now-available/72048
+    https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-10-now-available/72048
 
 
 Enviorment Setup

py/Dockerfile

@@ -1,8 +1,8 @@
-FROM pytorch/manylinux-cuda111
+FROM pytorch/manylinux-cuda113
 
 RUN yum install -y ninja-build
 
-RUN wget https://copr.fedorainfracloud.org/coprs/vbatts/bazel/repo/epel-7/vbatts-bazel-epel-7.repo \
+RUN wget --no-check-certificate https://copr.fedorainfracloud.org/coprs/vbatts/bazel/repo/epel-7/vbatts-bazel-epel-7.repo \
     && mv vbatts-bazel-epel-7.repo /etc/yum.repos.d/
 
 RUN yum install -y bazel4 --nogpgcheck

py/build_whl.sh

@@ -2,7 +2,7 @@
 
 # Example usage: docker run -it -v$(pwd)/..:/workspace/TRTorch build_trtorch_wheel /bin/bash /workspace/TRTorch/py/build_whl.sh
 
-cd /workspace/TRTorch/py
+cd /workspace/Torch-TensorRT/py
 
 export CXX=g++