未验证 提交 81f22bb2 编写于 作者: F fengjiayi 提交者: GitHub

Merge pull request #11670 from JiayiFeng/refine_test_reader_transpiler

test reader transpiler
......@@ -18,7 +18,7 @@ import time
import shutil
from paddle.fluid.evaluator import Evaluator
from paddle.fluid.framework import Program, Parameter, default_main_program, Variable
from paddle.fluid.framework import Program, Parameter, default_main_program, default_startup_program, Variable
from . import core
__all__ = [
......@@ -1374,3 +1374,101 @@ def get_latest_checkpoint_serial(checkpoint_dir):
if success_num > current_dir:
current_dir = success_num
return current_dir
def get_test_program(filelist, program=None, startup_program=None):
"""
Transpile current train program to a program to read test dataset
if the program is using reader ops like "open_files_op".
"""
def _copy_reader_var_(block, var, new_name=None):
if new_name == None:
new_name = var.name
new_var = block.create_var(
name=str(new_name), type=core.VarDesc.VarType.READER)
new_var.desc.set_shapes(var.desc.shapes())
new_var.desc.set_dtypes(var.desc.dtypes())
new_var.persistable = True
return new_var
def _get_test_reader_name(train_reader_name):
return train_reader_name + "_test"
def _is_reader_op(op):
block = op.block
if "Out" in op.output_names:
reader_out = block.vars[op.output("Out")[0]]
if reader_out.type == core.VarDesc.VarType.READER:
return True
return False
if program == None:
program = default_main_program()
if startup_program == None:
startup_program = default_startup_program()
startup_block = startup_program.global_block()
# 1. find out the orignal reader var name
startup_reader_op_list = []
for op in startup_block.ops:
if _is_reader_op(op):
startup_reader_op_list.append(op)
if len(startup_reader_op_list) == 0:
return program
root_reader_op = startup_reader_op_list[0]
train_test_reader_map = {}
# 2. add operators to startup to read open and read test data files
for op in startup_reader_op_list:
assert (len(op.output("Out")) == 1)
train_reader_name = op.output("Out")[0]
train_reader = startup_block.vars[train_reader_name]
test_reader = _copy_reader_var_(
startup_block,
train_reader,
new_name=_get_test_reader_name(train_reader_name))
train_test_reader_map[train_reader.name] = test_reader
test_op_inputs = {}
for name in op.input_names:
train_arg_names = op.input(name)
test_arg_vars = []
for arg_name in train_arg_names:
arg_var = train_test_reader_map[
arg_name] if name == "UnderlyingReader" else startup_block.vars[
arg_name]
test_arg_vars.append(arg_var)
test_op_inputs[name] = test_arg_vars
test_op = startup_block.append_op(
type=op.type,
inputs=test_op_inputs,
outputs={'Out': [test_reader]},
attrs=op.attrs)
# root reader op's filelist attr for read test files
if op.type == root_reader_op.type:
test_op.set_attr("file_names", filelist)
if op.type == "create_multi_pass_reader":
test_op.set_attr("pass_num", 1)
# 3. rename reader vars in inference program to different name
# to avoid read from train data.
main_block = program.global_block()
for var in main_block.vars.values():
if var.type == core.VarDesc.VarType.READER:
main_block.rename_var(
str(var.name), str(_get_test_reader_name(var.name)))
for op in main_block.ops:
if op.type == root_reader_op.type:
test_op.set_attr("file_names", filelist)
if op.type == "create_multi_pass_reader":
test_op.set_attr("pass_num", 1)
startup_program.sync_with_cpp()
program.sync_with_cpp()
return program
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