Remove Module._backend as it's not used anymore.
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/25342
Test Plan: Imported from OSS
Differential Revision: D17101571
Pulled By: gchanan
fbshipit-source-id: 2cda46fe197e26a1cacb5e912f535809973d306e
diff --git a/torch/nn/_functions/__init__.py b/torch/nn/_functions/__init__.py
deleted file mode 100644
index e69de29..0000000
--- a/torch/nn/_functions/__init__.py
+++ /dev/null
diff --git a/torch/nn/_functions/thnn/__init__.py b/torch/nn/_functions/thnn/__init__.py
deleted file mode 100644
index 917657a..0000000
--- a/torch/nn/_functions/thnn/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-_all_functions = []
diff --git a/torch/nn/backends/backend.py b/torch/nn/backends/backend.py
deleted file mode 100644
index 0ee709e..0000000
--- a/torch/nn/backends/backend.py
+++ /dev/null
@@ -1,17 +0,0 @@
-
-class FunctionBackend(object):
-
- def __init__(self):
- self.function_classes = {}
-
- def __getattr__(self, name):
- fn = self.function_classes.get(name)
- if fn is None:
- raise AttributeError(
- "Could not find function class for [{}]".format(name))
- return fn
-
- def register_function(self, name, function_class):
- if self.function_classes.get(name):
- raise RuntimeError("Trying to register second function under name " + name + " in " + type(self).__name__)
- self.function_classes[name] = function_class
diff --git a/torch/nn/backends/thnn.py b/torch/nn/backends/thnn.py
index fa7f510..22effb3 100644
--- a/torch/nn/backends/thnn.py
+++ b/torch/nn/backends/thnn.py
@@ -1,29 +1,4 @@
-from .backend import FunctionBackend
-
-
-class THNNFunctionBackend(FunctionBackend):
-
- def __reduce__(self):
- return (_get_thnn_function_backend, ())
-
- def __deepcopy__(self, memo):
- memo[id(self)] = self
- return self
-
- def __copy__(self):
- return self
-
+# this is for historical pickle deserilaization, it is not used otherwise
def _get_thnn_function_backend():
- return backend
-
-
-def _initialize_backend():
- from .._functions.thnn import _all_functions as _thnn_functions
- for cls in _thnn_functions:
- name = cls.__name__
- backend.register_function(name, cls)
-
-
-backend = THNNFunctionBackend()
-_initialize_backend()
+ pass
diff --git a/torch/nn/modules/_functions.py b/torch/nn/modules/_functions.py
index 5832467..3d6465e 100644
--- a/torch/nn/modules/_functions.py
+++ b/torch/nn/modules/_functions.py
@@ -113,7 +113,6 @@
ctx.alpha = alpha
ctx.beta = beta
ctx.k = k
- ctx._backend = None
ctx.scale = None
assert input.dim() == 4
diff --git a/torch/nn/modules/module.py b/torch/nn/modules/module.py
index 6de8198..282d2dc 100644
--- a/torch/nn/modules/module.py
+++ b/torch/nn/modules/module.py
@@ -3,7 +3,6 @@
import itertools
import torch
-from ..backends.thnn import backend as thnn_backend
from ..parameter import Parameter
import torch.utils.hooks as hooks
@@ -79,7 +78,6 @@
Initializes internal Module state, shared by both nn.Module and ScriptModule.
"""
torch._C._log_api_usage_once("python.nn_module")
- self._backend = thnn_backend
self._parameters = OrderedDict()
self._buffers = OrderedDict()
self._backward_hooks = OrderedDict()
