Fix duplicate cudatoolkit pinning issue (#11070)

This PR fixes a duplicate `cudatoolkit` pinning issue we are seeing in `cudf` packages:
<img width="1091" alt="Screen Shot 2022-06-07 at 1 23 35 PM" src="https://user-images.githubusercontent.com/11664259/172457994-d78b8113-567b-467d-ac62-5f8cfd1aec3e.png">

This leads to following conda error:
```bash
Encountered problems while solving:
  - package cudf-22.08.00a220606-cuda_11_py39_g4d7595fb3f_113 requires cudatoolkit >=11.5,<12, but none of the providers can be installed
```

This PR also removes `CC` & `CXX` invocations, since we have switched to conda compilers: rapidsai/gpuci-build-environment#265

Authors:
  - GALI PREM SAGAR (https://github.com/galipremsagar)

Approvers:
  - Bradley Dice (https://github.com/bdice)
  - https://github.com/jakirkham
  - AJ Schmidt (https://github.com/ajschmidt8)

URL: #11070

ci/benchmark/build.sh

@@ -92,8 +92,7 @@ pip install "git+https://github.com/python-streamz/streamz.git@master" --upgrade
 
 logger "Check versions..."
 python --version
-$CC --version
-$CXX --version
+
 conda info
 conda config --show-sources
 conda list --show-channel-urls

ci/cpu/build.sh

@@ -53,8 +53,6 @@ fi
 
 gpuci_logger "Check compiler versions"
 python --version
-$CC --version
-$CXX --version
 
 gpuci_logger "Check conda environment"
 conda info

ci/docs/build.sh

@@ -1,5 +1,5 @@
 #!/bin/bash
-# Copyright (c) 2020, NVIDIA CORPORATION.
+# Copyright (c) 2020-2022, NVIDIA CORPORATION.
 #################################
 # cuDF Docs build script for CI #
 #################################
@@ -29,8 +29,7 @@ conda activate rapids
 
 gpuci_logger "Check versions..."
 python --version
-$CC --version
-$CXX --version
+
 conda info
 conda config --show-sources
 conda list --show-channel-urls

ci/gpu/build.sh

@@ -82,8 +82,6 @@ conda list --show-channel-urls
 
 gpuci_logger "Check compiler versions"
 python --version
-$CC --version
-$CXX --version
 
 function install_dask {
     # Install the conda-forge or nightly version of dask and distributed

ci/gpu/java.sh

@@ -98,8 +98,7 @@ conda activate rapids
 
 gpuci_logger "Check compiler versions"
 python --version
-$CC --version
-$CXX --version
+
 
 gpuci_logger "Check conda environment"
 conda info

conda/recipes/cudf/meta.yaml

@@ -22,6 +22,8 @@ build:
   # libcudf's run_exports pinning is looser than we would like
   ignore_run_exports:
     - libcudf
+  ignore_run_exports_from:
+    - {{ compiler('cuda') }}
 
 requirements:
   build: