Revert "fix name of operator output in onnxop.inc and Operator.md (#62)" (#72)

This reverts commit c45655413d.

doc/ImportONNXDefs.md

@@ -13,9 +13,6 @@ ONNF modified this script to import ONNX specifications into ONNF. There are two
 5. copy the two file into your ONNF: cp onnxop.inc your_ONNF/src/dialect/onnx/onnxop.inc; cp op_build_table.inc your_ONNF/src/builder
 6. go to your ONNF and build
 
-## Consistency
-The Operators.md generated by gen_doc.py is copied into doc. Please refer to this specification, not the one in onnx github, to make sure operators are consistent in version with onnxop.inc.
-
 ## Customization
 In addition to following the ONNF specification, the modified gen_doc.py provides some mechanism for you to customize the output. 
 Several tables are defined at the beginning of the script:

doc/doc_check/directive.py

@@ -44,15 +44,7 @@ class Directive(object):
         :param directive_config: a list used to output parsed directive configuration.
         :return: parse result.
         """
-        try:
         line = ctx.doc_file.next_non_empty_line()
-        except RuntimeError as e:
-            # Do not raise exception when next non-empty line
-            # does not exist. Instead, return failure.
-            if str(e) != "Enf of file.":
-                raise
-            return failure()
-
         matches = self.ext_to_patterns[ctx.doc_file_ext()].findall(line)
         if len(matches) > 1:
             raise ValueError("more than one directives in a line")

doc/gen_doc.py

@@ -120,11 +120,6 @@ def display_version_link(name, version):  # type: (Text, int) -> Text
     name_with_ver = '{}-{}'.format(name, version)
     return '<a href="{}#{}">{}</a>'.format(changelog_md, name_with_ver, name_with_ver)
 
-def get_unique_output_name(schema, name):
-    for input in schema.inputs :
-        if input.name == name :
-            return 'out_'+name
-    return name
 
 def display_schema(schema, versions):  # type: (OpSchema, Sequence[OpSchema]) -> Text
     s = ''
@@ -228,7 +223,7 @@ def display_schema(schema, versions):  # type: (OpSchema, Sequence[OpSchema]) ->
                     option_str = " (variadic)"
                 else:
                     option_str = " (variadic, heterogeneous)"
-            s += '<dt><tt>{}</tt>{} : {}</dt>\n'.format(get_unique_output_name(schema, output.name), option_str, output.typeStr)
+            s += '<dt><tt>{}</tt>{} : {}</dt>\n'.format(output.name, option_str, output.typeStr)
             s += '<dd>{}</dd>\n'.format(output.description)
         s += '</dl>\n'
 
@@ -307,6 +302,7 @@ def  collect_types(schema, input) :
     return allowedTypeStr
 
 def gen_schema(schema) :
+    skip_attr_gen = []
     line_indent = '  '
 
     #s = 'def ONNX'+schema.name+str(schema.since_version)+'Op:ONNX_Op<"'+schema.name+'", \n'
@@ -372,6 +368,7 @@ def gen_schema(schema) :
                     #TODO handle  (variadic, heterogeneous)"
                     t=''
             s+=':$'+input.name
+    if not schema.name in skip_attr_gen :
         s += gen_attr_ins(schema, isfirst)
     s+= ');'
 
@@ -380,14 +377,14 @@ def gen_schema(schema) :
     if schema.outputs:
         for output in schema.outputs:
             if output != schema.outputs[0] :
-                s+= ',\n           '
+                s+= ', '
             #need to interpret output.typeStr
             etypes=collect_types(schema, output)
             if etypes == '':
                 s+= 'AnyTypeOf<[AnyMemRef, AnyTensor]>'
             else:
                 s+= 'TensorOf<['+etypes+']>'
-            s += ':$'+get_unique_output_name(schema, output.name)
+            s += ':$o_'+output.name
     s+= ');\n'
 
     #s+= 'let hasCanonicalizer = 1;'