From cb8c3798d336d947a030a0109f153ba4c9ed5466 Mon Sep 17 00:00:00 2001
From: gongweibao <weibao.gong@gmail.com>
Date: Thu, 20 Sep 2018 03:59:00 +0000
Subject: [PATCH] add
---
tools/test_generator.py | 111 ++++++++++++++++++++++++++++++++++++++++
1 file changed, 111 insertions(+)
create mode 100644 tools/test_generator.py
diff --git a/tools/test_generator.py b/tools/test_generator.py
new file mode 100644
index 0000000000..15f9f7db05
--- /dev/null
+++ b/tools/test_generator.py
@@ -0,0 +1,111 @@
+# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import print_function
+import re
+import functools
+import warnings
+import string
+
+from six.moves import cStringIO
+from paddle.fluid.proto import framework_pb2
+from paddle.fluid.framework import OpProtoHolder, Variable
+from paddle.fluid.layer_helper import LayerHelper
+
+
+def _convert_(name):
+ """
+ Formatting.
+
+ Args:
+ name: The name/alias
+
+ This function takes in a name and converts it to a standard format of
+ group1_group2. Where as per the regular expression, group1 can have
+ alphabets and numbers and group2 has capital alphabets.
+
+ """
+ s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name)
+ return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower()
+
+
+def _get_inputs(op_type):
+ op_proto = OpProtoHolder.instance().get_op_proto(op_type)
+ inputs = dict()
+ for ipt in op_proto.inputs:
+ inputs[ipt.name] = ""
+
+
+def _get_outputs(op_type):
+ op_proto = OpProtoHolder.instance().get_op_proto(op_type)
+ outputs = {}
+ for ipt in op_proto.outputs:
+ outputs[ipt.name] = ""
+
+
+def get_input_comments(op_type):
+ return ""
+
+
+def get_output_comments(op_type):
+ return ""
+
+
+def get_func_args(op_type):
+ return ""
+
+
+def get_inputs(op_type):
+ return ""
+
+
+def get_outputs(op_type):
+ return ""
+
+
+def get_op_py(op_type):
+ input_comments = get_input_comments(op_type)
+ output_comments = get_output_comments(op_type)
+ args = get_func_args(op_type)
+ inputs = get_inputs(op_type)
+ outputs = get_outputs(op_type)
+
+ code = """
+\@templatedoc()
+def {op_type}({args}):
+ \"\"\"
+ {op_type}
+
+ Args:
+ {input_comments}
+ Returns:
+ {output_comments}
+ \"\"\"
+ helper.append_op(
+ type='{op_type}',
+ {inputs},
+ {outputs})
+""".format(
+ input_comments=input_comments,
+ output_comments=output_comments,
+ args=args,
+ op_type=op_type,
+ inputs=inputs,
+ outputs=outputs)
+
+ return code
+
+
+print(get_op_py("uniform_random_batch_size_like"))
+#get_meta("linear_chain_crf")