From 92ac30efd9bab1e7bcf9c0d98e3b44dd4edbc5a3 Mon Sep 17 00:00:00 2001
From: typhoonzero <typhoonzero1986@gmail.com>
Date: Sun, 11 Feb 2018 16:47:10 +0800
Subject: [PATCH] remove comments
---
python/paddle/v2/fluid/distribute_transpiler.py | 14 --------------
1 file changed, 14 deletions(-)
diff --git a/python/paddle/v2/fluid/distribute_transpiler.py b/python/paddle/v2/fluid/distribute_transpiler.py
index 62d1f3434c..ff84e609e2 100644
--- a/python/paddle/v2/fluid/distribute_transpiler.py
+++ b/python/paddle/v2/fluid/distribute_transpiler.py
@@ -353,16 +353,6 @@ class DistributeTranspiler:
pass
return orig_shape
- # def _fetch_var_names(self, param_dict):
- # res = []
- # if not param_dict:
- # return res
- # for _, values in param_dict.iteritems():
- # if not isinstance(values, list):
- # values = [values]
- # res += [v.name for v in values]
- # return res
-
def _append_pserver_ops(self, optimize_block, opt_op, endpoint):
program = optimize_block.program
pserver_block = program.global_block()
@@ -483,13 +473,9 @@ class DistributeTranspiler:
# If one op's input is another op's output or
# one op's output is another op's input, we say
# the two operator is connected.
- # op1_input_names = self._fetch_var_names(op1.inputs)
- # op1_output_names = self._fetch_var_names(op1.outputs)
op1_input_names = op1.desc.input_arg_names()
op1_output_names = op1.desc.output_arg_names()
- # op2_input_names = self._fetch_var_names(op2.inputs)
- # op2_output_names = self._fetch_var_names(op2.outputs)
op2_input_names = op2.desc.input_arg_names()
op2_output_names = op2.desc.output_arg_names()