From a424f5a0af67d0db0bc1af2de22a30122f654098 Mon Sep 17 00:00:00 2001 From: "yi.wu" Date: Wed, 20 Jun 2018 22:41:30 +0800 Subject: [PATCH] polish reader op for test --- python/paddle/fluid/layers/io.py | 116 +++++++++++++++++-------------- 1 file changed, 65 insertions(+), 51 deletions(-) diff --git a/python/paddle/fluid/layers/io.py b/python/paddle/fluid/layers/io.py index b59e2dc29..7d10f12a5 100644 --- a/python/paddle/fluid/layers/io.py +++ b/python/paddle/fluid/layers/io.py @@ -259,7 +259,9 @@ def monkey_patch_reader_methods(reader): return reader -def _copy_reader_var_(block, var): +def _copy_reader_var_(block, var, newname=None): + if newname == None: + newname = var.name new_var = block.create_var(name=var.name, type=core.VarDesc.VarType.READER) new_var.desc.set_shapes(var.desc.shapes()) new_var.desc.set_dtypes(var.desc.dtypes()) @@ -691,68 +693,80 @@ def load(out, file_path, load_as_fp16=None): helper.append_op(type="load", inputs={}, output={"Out": out}, args=attrs) -def get_test_program(filelist, test_program=None, startup_program=None): - """ - Transpile current program to read test dataset if the program - is using reader ops like "open_files_op". +def _is_reader_op(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 - Args: - filelist (list): list of test file paths. - test_program (Program|None): program to run test/evaluation. - default use fluid.default_main_program() - startup_program (Program|None): startup program to change, - default use fluid.default_startup_program() - - Returns: - Program: program for test + +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". """ - if test_program == None: + if program == None: program = default_main_program() if startup_program == None: startup_program = default_startup_program() # 1. find out the orignal reader var name - open_files_var = None - train_open_files_op = None + # open_files_var = None + # train_open_files_op = None + startup_reader_op_list = [] + for op in startup_program.global_block().ops: - if op.type == "open_files": - train_open_files_op = op - open_files_var_name = op.output("Out")[0] - open_files_var = startup_program.global_block().vars[ - open_files_var_name] - - # 2. add operator to startup to read open and read test data files - test_startup_var = startup_program.global_block().create_var( - name=open_files_var.name + "_test") - - print("creating openfiles for test reader: ", train_open_files_op.attrs) - startup_program.global_block().append_op( - type='open_files', - outputs={'Out': [test_startup_var]}, - attrs={ - 'shape_concat': train_open_files_op.attrs["shape_concat"], - 'lod_levels': train_open_files_op.attrs["lod_levels"], - 'ranks': train_open_files_op.attrs["ranks"], - 'file_names': filelist, - 'thread_num': train_open_files_op.attrs["thread_num"], - 'buffer_size': train_open_files_op.attrs["buffer_size"] - }) - dtypes = [convert_np_dtype_to_dtype_(dt) for dt in ["float32", "int64"]] - test_startup_var.desc.set_dtypes(dtypes) - test_startup_var.persistable = True - _copy_reader_var_(default_main_program().global_block(), test_startup_var) + if _is_reader_op(op, startup_program.global_block()): + startup_reader_op_list.append(op) + + if len(startup_reader_op_list) == 0: + return program + + root_reader_op = startup_reader_op_list[0] + + # 2. add operators to startup to read open and read test data files + for op in startup_reader_op_list: + orig_var_name = op.output("Out")[0] + orig_var = startup_program.global_block().vars[orig_var_name] + new_test_var = _copy_reader_var_( + startup_program.global_block(), + orig_var, + newname=orig_var_name + "_test") + + # for open_files like operators have no input. + inputs = None + if "UnderlyingReader" in op.input_names: + orig_input_var_name = op.input("UnderlyingReader")[0] + orig_input_var = startup_program.global_block().vars[ + orig_input_var_name] + new_input_var = _copy_reader_var_( + startup_program.global_block(), + orig_input_var, + newname=orig_input_var_name + "_test") + inputs = {"UnderlyingReader": new_input_var} + test_op = startup_program.global_block().append_op( + type=op.type, + inputs=inputs, + outputs={'Out': [new_test_var]}, + 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. - program.global_block().rename_var(open_files_var.name, - test_startup_var.name) + origname = root_reader_op.output("Out")[0] + newname = origname + "_test" + program.global_block().rename_var(str(origname), str(newname)) for op in program.global_block().ops: - if "Out" in op.output_names: - op_out_var_name = op.output("Out")[0] - op_out_var = program.global_block().vars[op_out_var_name] - if op_out_var.type == core.VarDesc.VarType.READER: - newname = op_out_var.name + "_test" - program.global_block().rename_var(op_out_var.name, newname) + if _is_reader_op(op, program.global_block()): + origname = op.output("Out")[0] + newname = origname + "_test" + program.global_block().rename_var(str(origname), str(newname)) + if op.type == "create_multi_pass_reader": op.set_attr("pass_num", 1) -- GitLab