Revert "officially deprecate and clarify the plan of pyprof removal (#1315)" (#1320)

This reverts commit 74e04667.

README.md

@@ -139,7 +139,7 @@ A Python-only build omits:
 `DistributedDataParallel`, `amp`, and `SyncBatchNorm` will still be usable, but they may be slower.
 
 Pyprof support has been moved to its own [dedicated repository](https://github.com/NVIDIA/PyProf).
-The codebase is deprecated in Apex and pyprof directory will be removed by the end of June, 2022.
+The codebase is deprecated in Apex and will be removed soon.
 
 ### Windows support
 Windows support is experimental, and Linux is recommended.  `pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" .` may work if you were able to build Pytorch from source

apex/pyprof/nvtx/nvmarker.py

@@ -16,7 +16,6 @@ The NVTX markers (one or more) contain the following information
 		numpy: name, shape and datatype
 		list/tuple: a sequence of scalars or tensors or numpy arrays
 """
-import warnings
 
 import torch
 import torch.cuda.nvtx as nvtx
@@ -66,10 +65,6 @@ def modMarker(mod, fn_name, args):
 	return str(d)
 
 def add_wrapper(mod, fn_name):
-    warnings.warn(
-        "apex.pyprof module will be removed by the end of June, 2022.",
-        FutureWarning,
-    )
 	assert isfunc(mod, fn_name)
 
 	# Get a pointer to the original function
@@ -143,7 +138,7 @@ def argMarker(mod, op, args, kwargs):
 			# The arg could be torch.Size, which is a subclass of tuple
 			# Therefore, explicitly convert to tuple
 			a['value'] = tuple(arg)
-
+		
 		cadena['args'].append(a)
 
 	def scalar(arg, name=""):
@@ -209,10 +204,6 @@ def patchClass(cls):
 			add_wrapper(cls, f)
 
 def init():
-    warnings.warn(
-        f"apex.pyprof module will be removed by the end of June, 2022.",
-        FutureWarning,
-    )
 	string = "\n\nPyprof has been moved to its own dedicated repository and will " + \
 			"soon be removed from Apex.  Please visit\n" + \
 			"https://github.com/NVIDIA/PyProf\n" + \