Fix typo in word explicitly (#3376)

nnvm/python/nnvm/frontend/caffe2.py

@@ -411,7 +411,7 @@ class Caffe2NetDef(object):
                           identity_list=None,
                           convert_map=None):
         """Convert from Caffe2 operator to nnvm operator.
-        The converter must specify conversions explicity for incompatible name, and
+        The converter must specify conversions explicitly for incompatible name, and
         apply handlers to operator attributes.
 
         Parameters

nnvm/python/nnvm/frontend/onnx.py

@@ -963,7 +963,7 @@ class GraphProto(object):
                           identity_list=None,
                           convert_map=None):
         """Convert from onnx operator to nnvm operator.
-        The converter must specify conversions explicity for incompatible name, and
+        The converter must specify conversions explicitly for incompatible name, and
         apply handlers to operator attributes.
 
         Parameters

nnvm/python/nnvm/frontend/tensorflow.py

@@ -1520,7 +1520,7 @@ class GraphProto(object):
     def _convert_operator(self, op_name, inputs, attrs,
                           graph, identity_list=None, convert_map=None):
         """Convert from Tensorflow operator to nnvm operator.
-        The converter must specify conversions explicity for incompatible name, and
+        The converter must specify conversions explicitly for incompatible name, and
         apply handlers to operator attributes.
 
         Parameters

nnvm/tests/python/frontend/mxnet/test_forward.py

@@ -137,7 +137,7 @@ def test_forward_fc_flatten():
 
 def test_forward_clip():
     data = mx.sym.var('data')
-    data = mx.sym.concat(data, -data, dim=1)  # negative part explicity
+    data = mx.sym.concat(data, -data, dim=1)  # negative part explicitly
     mx_sym = mx.sym.clip(data, a_min=0, a_max=1)
     verify_mxnet_frontend_impl(mx_sym, (1, 3, 100, 100), (1, 6, 100, 100))
 

python/tvm/expr.py

@@ -222,7 +222,7 @@ class NotEqualOp(NodeGeneric, ExprOp):
 
 class Expr(ExprOp, NodeBase):
     """Base class of all tvm Expressions"""
-    # In Python3, We have to explicity tell interpreter to retain __hash__ if we overide __eq__
+    # In Python3, We have to explicitly tell interpreter to retain __hash__ if we overide __eq__
     # https://docs.python.org/3.1/reference/datamodel.html#object.__hash__
     __hash__ = NodeBase.__hash__
 

python/tvm/relay/frontend/caffe2.py

@@ -505,7 +505,7 @@ class Caffe2NetDef(object):
                           identity_list=None,
                           convert_map=None):
         """Convert from Caffe2 operator to Relay operator.
-        The converter must specify conversions explicity for incompatible name, and
+        The converter must specify conversions explicitly for incompatible name, and
         apply handlers to operator attributes.
 
         Parameters

python/tvm/relay/frontend/onnx.py

@@ -1154,7 +1154,7 @@ class GraphProto(object):
                           attrs,
                           opset):
         """Convert ONNX operator into a Relay operator.
-        The converter must specify conversions explicity for incompatible name, and
+        The converter must specify conversions explicitly for incompatible name, and
         apply handlers to operator attributes.
 
         Parameters

python/tvm/relay/frontend/tensorflow.py

@@ -2277,7 +2277,7 @@ class GraphProto(object):
     def _convert_operator(self, op_name, inputs, attrs,
                           graph, identity_list=None, convert_map=None):
         """Convert from Tensorflow operator to relay operator.
-        The converter must specify conversions explicity for incompatible name, and
+        The converter must specify conversions explicitly for incompatible name, and
         apply handlers to operator attributes.
 
         Parameters

tests/python/frontend/mxnet/test_forward.py

@@ -143,7 +143,7 @@ def test_forward_fc_flatten():
 
 def test_forward_clip():
     data = mx.sym.var('data')
-    data = mx.sym.concat(data, -data, dim=1)  # negative part explicity
+    data = mx.sym.concat(data, -data, dim=1)  # negative part explicitly
     mx_sym = mx.sym.clip(data, a_min=0, a_max=1)
     verify_mxnet_frontend_impl(mx_sym, (1, 3, 100, 100), (1, 6, 100, 100))