未验证 提交 7570e5ef 编写于 作者: G gongweibao 提交者: GitHub

Print readable program codes. (#12673)

上级 f0f06992
# 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.
import os
import time
import unittest
from multiprocessing import Process
import signal
import numpy
import paddle.fluid as fluid
import paddle.fluid.layers as layers
from paddle.fluid.layers.io import ListenAndServ
from paddle.fluid.layers.io import Recv
from paddle.fluid.layers.io import Send
from paddle.fluid.transpiler.details import program_to_code
class TestProgram2Code(unittest.TestCase):
def test_print(self):
place = fluid.CPUPlace()
self.init_serv(place)
self.init_client(place, 9123)
def init_serv(self, place):
main = fluid.Program()
with fluid.program_guard(main):
serv = ListenAndServ("127.0.0.1:0", ["X"], optimizer_mode=False)
with serv.do():
out_var = main.global_block().create_var(
name="scale_0.tmp_0",
psersistable=True,
dtype="float32",
shape=[32, 32])
x = layers.data(
shape=[32, 32],
dtype='float32',
name="X",
append_batch_size=False)
fluid.initializer.Constant(value=1.0)(x, main.global_block())
layers.scale(x=x, scale=10.0, out=out_var)
program_to_code(main)
def init_client(self, place, port):
main = fluid.Program()
with fluid.program_guard(main):
x = layers.data(
shape=[32, 32],
dtype='float32',
name='X',
append_batch_size=False)
fluid.initializer.Constant(value=2.3)(x, main.global_block())
get_var = main.global_block().create_var(
name="scale_0.tmp_0", # server side var
dtype="float32",
persistable=False,
shape=[32, 32])
fluid.initializer.Constant(value=2.3)(get_var, main.global_block())
Send("127.0.0.1:%d" % port, [x])
o = Recv("127.0.0.1:%d" % port, [get_var])
program_to_code(main)
if __name__ == "__main__":
unittest.main()
......@@ -16,6 +16,9 @@ from __future__ import print_function
import six
from paddle.fluid import core
import paddle
def delete_ops(block, ops):
try:
......@@ -39,3 +42,133 @@ def find_op_by_output_arg(block, arg_name):
if arg_name in op.output_arg_names:
return index
return -1
def get_indent_space(indent, space_num=4):
ret = ""
for i in range(0, indent * space_num):
ret += " "
return ret
def variable_to_code(var):
"""
Get readable codes of fluid variable.
Args:
var: A fluid operator.
Returns:
string: The formatted string.
"""
var_str = "{name} : fluid.{type}.shape{shape}.astype({dtype})".\
format(i="{", e="}", name=var.name, type=var.type, shape=var.shape, dtype=var.dtype)
if type(var) == paddle.fluid.framework.Parameter:
if var.trainable:
var_str = "trainable parameter " + var_str
else:
var_str = "parameter " + var_str
else:
var_str = "var " + var_str
if var.persistable:
var_str = "persist " + var_str
return var_str
def op_to_code(op):
"""
Get readable codes of fluid operator.
Args:
op: A fluid operator.
Returns:
string: The foramtted string.
"""
outputs_str = "{"
for i in range(0, len(op.output_names)):
outputs_str += "{name}=".format(name=op.output_names[i])
o = op.output(op.output_names[i])
outputs_str += "{value}".format(value=o)
if i != len(op.output_names) - 1:
outputs_str += ", "
outputs_str += "}"
inputs_str = "{"
for i in range(0, len(op.input_names)):
inputs_str += "{name}=".format(name=op.input_names[i])
o = op.input(op.input_names[i])
inputs_str += "{value}".format(value=o)
if i != len(op.input_names) - 1:
inputs_str += ", "
inputs_str += "}"
attrs_str = ""
for i in range(0, len(op.attr_names)):
name = op.attr_names[i]
attr_type = op.desc.attr_type(name)
if attr_type == core.AttrType.BLOCK:
a = "{name} = block[{value}]".format(
name=name, type=attr_type, value=op.block_attr_id(name))
attrs_str += a
continue
if attr_type == core.AttrType.BLOCKS:
a = "{name} = blocks{value}".format(
name=name, type=attr_type, value=op.blocks_attr_ids(name))
attrs_str += a
continue
a = "{name} = {value}".format(
name=name, type=attr_type, value=op.desc.attr(name))
attrs_str += a
if i != len(op.attr_names) - 1:
attrs_str += ", "
if outputs_str != "{}":
op_str = "{outputs} = {op_type}(inputs={inputs}, {attrs})".\
format(outputs = outputs_str, op_type=op.type, inputs=inputs_str, attrs=attrs_str)
else:
op_str = "{op_type}(inputs={inputs}, {attrs})".\
format(op_type=op.type, inputs=inputs_str, attrs=attrs_str)
return op_str
def program_to_code(prog):
"""
Print readable codes of fluid program.
Args:
prog : A fluid program.
An example result like bellow:
https://github.com/PaddlePaddle/Paddle/pull/12673
"""
indent = 0
block_idx = 0
for block in prog.blocks:
print("{0}{1} // block {2}".format(
get_indent_space(indent), '{', block_idx))
indent += 1
# sort all vars
all_vars = sorted(block.vars.iteritems(), key=lambda x: x[0])
for var in all_vars:
print("{}{}".format(
get_indent_space(indent), variable_to_code(var[1])))
if len(all_vars) > 0:
print("")
for op in block.ops:
print("{}{}".format(get_indent_space(indent), op_to_code(op)))
indent -= 1
print("{0}{1}".format(get_indent_space(indent), '}'))
block_idx += 1
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册