Fix Non-ASCII character in docstring (apache#17600)

* Fix

* Try to fix...

ci/docker/runtime_functions.sh

@@ -1332,15 +1332,15 @@ integrationtest_ubuntu_cpu_dist_kvstore() {
     export MXNET_USE_OPERATOR_TUNING=0
     export DMLC_LOG_STACK_TRACE_DEPTH=10
     cd tests/nightly/
-    python3 ../../tools/launch.py -n 7 --launcher local python dist_sync_kvstore.py --type=gluon_step_cpu
-    python3 ../../tools/launch.py -n 7 --launcher local python dist_sync_kvstore.py --type=gluon_sparse_step_cpu
-    python3 ../../tools/launch.py -n 7 --launcher local python dist_sync_kvstore.py --type=invalid_cpu
-    python3 ../../tools/launch.py -n 7 --launcher local python dist_sync_kvstore.py --type=gluon_type_cpu
-    python3 ../../tools/launch.py -n 7 --launcher local python dist_sync_kvstore.py
-    python3 ../../tools/launch.py -n 7 --launcher local python dist_sync_kvstore.py --no-multiprecision
-    python3 ../../tools/launch.py -n 7 --launcher local python dist_sync_kvstore.py --type=compressed_cpu
-    python3 ../../tools/launch.py -n 7 --launcher local python dist_sync_kvstore.py --type=compressed_cpu --no-multiprecision
-    python3 ../../tools/launch.py -n 3 --launcher local python test_server_profiling.py
+    python3 ../../tools/launch.py -n 7 --launcher local python3 dist_sync_kvstore.py --type=gluon_step_cpu
+    python3 ../../tools/launch.py -n 7 --launcher local python3 dist_sync_kvstore.py --type=gluon_sparse_step_cpu
+    python3 ../../tools/launch.py -n 7 --launcher local python3 dist_sync_kvstore.py --type=invalid_cpu
+    python3 ../../tools/launch.py -n 7 --launcher local python3 dist_sync_kvstore.py --type=gluon_type_cpu
+    python3 ../../tools/launch.py -n 7 --launcher local python3 dist_sync_kvstore.py
+    python3 ../../tools/launch.py -n 7 --launcher local python3 dist_sync_kvstore.py --no-multiprecision
+    python3 ../../tools/launch.py -n 7 --launcher local python3 dist_sync_kvstore.py --type=compressed_cpu
+    python3 ../../tools/launch.py -n 7 --launcher local python3 dist_sync_kvstore.py --type=compressed_cpu --no-multiprecision
+    python3 ../../tools/launch.py -n 3 --launcher local python3 test_server_profiling.py
     popd
 }
 
@@ -1369,10 +1369,10 @@ integrationtest_ubuntu_gpu_dist_kvstore() {
     export MXNET_SUBGRAPH_VERBOSE=0
     export DMLC_LOG_STACK_TRACE_DEPTH=10
     cd tests/nightly/
-    python3 ../../tools/launch.py -n 4 --launcher local python dist_device_sync_kvstore.py
-    python3 ../../tools/launch.py -n 4 --launcher local python dist_device_sync_kvstore_custom.py
-    python3 ../../tools/launch.py --p3 -n 4 --launcher local python dist_device_sync_kvstore_custom.py
-    python3 ../../tools/launch.py -n 4 --launcher local python dist_sync_kvstore.py --type=init_gpu
+    python3 ../../tools/launch.py -n 4 --launcher local python3 dist_device_sync_kvstore.py
+    python3 ../../tools/launch.py -n 4 --launcher local python3 dist_device_sync_kvstore_custom.py
+    python3 ../../tools/launch.py --p3 -n 4 --launcher local python3 dist_device_sync_kvstore_custom.py
+    python3 ../../tools/launch.py -n 4 --launcher local python3 dist_sync_kvstore.py --type=init_gpu
     popd
 }
 

python/mxnet/ndarray/numpy/_op.py

@@ -4900,7 +4900,7 @@ def unravel_index(indices, shape, order='C'): # pylint: disable=redefined-outer-
 def diag_indices_from(arr):
     """
     This returns a tuple of indices that can be used to access the main diagonal of an array
-    a with a.ndim >= 2 dimensions and shape (n, n, …, n). For a.ndim = 2 this is
+    a with a.ndim >= 2 dimensions and shape (n, n, ..., n). For a.ndim = 2 this is
     the usual diagonal, for a.ndim > 2 this is the set of indices to access
     a[i, i, ..., i] for i = [0..n-1].
 

python/mxnet/numpy/multiarray.py

@@ -6642,7 +6642,7 @@ def unravel_index(indices, shape, order='C'): # pylint: disable=redefined-outer-
 def diag_indices_from(arr):
     """
     This returns a tuple of indices that can be used to access the main diagonal of an array
-    a with a.ndim >= 2 dimensions and shape (n, n, …, n). For a.ndim = 2 this is
+    a with a.ndim >= 2 dimensions and shape (n, n, ..., n). For a.ndim = 2 this is
     the usual diagonal, for a.ndim > 2 this is the set of indices to access
     a[i, i, ..., i] for i = [0..n-1].
 

python/mxnet/symbol/numpy/_symbol.py

@@ -4565,7 +4565,7 @@ def unravel_index(indices, shape, order='C'): # pylint: disable=redefined-outer-
 def diag_indices_from(arr):
     """
     This returns a tuple of indices that can be used to access the main diagonal of an array
-    a with a.ndim >= 2 dimensions and shape (n, n, …, n). For a.ndim = 2 this is
+    a with a.ndim >= 2 dimensions and shape (n, n, ..., n). For a.ndim = 2 this is
     the usual diagonal, for a.ndim > 2 this is the set of indices to access
     a[i, i, ..., i] for i = [0..n-1].