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PaddleRec
提交 457f693c 编写于 作者: L liuyuhui
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fix a bug , transfer from print() to logging

上级 2caf374d
隐藏空白更改
内联 并排
Showing with 189 addition and 89 deletion
core/engine/cluster/cluster.py
浏览文件 @ 457f693c
......@@ -19,11 +19,16 @@ import copy
import os
import subprocess
import warnings
import logging
from paddlerec.core.engine.engine import Engine
from paddlerec.core.factory import TrainerFactory
from paddlerec.core.utils import envs
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class ClusterEngine(Engine):
def __init_impl__(self):
......@@ -220,7 +225,8 @@ class ClusterEnvBase(object):
def env_set(self):
envs.set_runtime_environs(self.cluster_env)
flattens = envs.flatten_environs(self.cluster_env)
print(envs.pretty_print_envs(flattens, ("Cluster Envs", "Value")))
logger.info(
envs.pretty_print_envs(flattens, ("Cluster Envs", "Value")))
class PaddleCloudMpiEnv(ClusterEnvBase):
......
core/engine/local_cluster.py
浏览文件 @ 457f693c
......@@ -19,10 +19,15 @@ import copy
import os
import sys
import subprocess
import logging
from paddlerec.core.engine.engine import Engine
from paddlerec.core.utils import envs
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class LocalClusterEngine(Engine):
def start_procs(self):
......@@ -57,7 +62,8 @@ class LocalClusterEngine(Engine):
]
factory = "paddlerec.core.factory"
cmd = [sys.executable, "-u", "-m", factory, self.trainer]
cmd = [sys.executable, "-u", "-m", factory,
self.trainer] #problems
for i in range(server_num):
current_env.update({
......@@ -145,7 +151,7 @@ class LocalClusterEngine(Engine):
if len(log_fns) > 0:
log_fns[i].close()
procs[i].terminate()
print(
logger.info(
"all workers already completed, you can view logs under the `{}` directory".
format(logs_dir),
file=sys.stderr)
......
core/engine/local_mpi.py
浏览文件 @ 457f693c
......@@ -19,9 +19,14 @@ import copy
import os
import sys
import subprocess
import logging
from paddlerec.core.engine.engine import Engine
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class LocalMPIEngine(Engine):
def start_procs(self):
......@@ -51,7 +56,7 @@ class LocalMPIEngine(Engine):
if len(log_fns) > 0:
log_fns[i].close()
procs[i].wait()
print(
logger.info(
"all workers and parameter servers already completed",
file=sys.stderr)
......
core/factory.py
浏览文件 @ 457f693c
......@@ -14,8 +14,13 @@
import os
import sys
import logging
from paddlerec.core.utils import envs
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
trainer_abs = os.path.join(
os.path.dirname(os.path.abspath(__file__)), "trainers")
trainers = {}
......@@ -53,7 +58,7 @@ class TrainerFactory(object):
@staticmethod
def _build_trainer(yaml_path):
print(envs.pretty_print_envs(envs.get_global_envs()))
logger.info(envs.pretty_print_envs(envs.get_global_envs()))
train_mode = envs.get_trainer()
trainer_abs = trainers.get(train_mode, None)
......
core/trainer.py
浏览文件 @ 457f693c
......@@ -17,11 +17,16 @@ import os
import time
import sys
import traceback
import logging
from paddle import fluid
from paddlerec.core.utils import envs
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
class EngineMode:
"""
......@@ -88,7 +93,7 @@ class Trainer(object):
phases.append(phase)
self._context["phases"] = phases
print("PaddleRec: Runner {} Begin".format(self._runner_name))
logger.info("PaddleRec: Runner {} Begin".format(self._runner_name))
self.which_engine()
self.which_device()
self.which_fleet_mode()
......@@ -107,7 +112,7 @@ class Trainer(object):
self.device = Device.GPU
gpu_id = int(os.environ.get('FLAGS_selected_gpus', 0))
self._place = fluid.CUDAPlace(gpu_id)
print("PaddleRec run on device GPU: {}".format(gpu_id))
logger.info("PaddleRec run on device GPU: {}".format(gpu_id))
self._exe = fluid.Executor(self._place)
elif device == "CPU":
self.device = Device.CPU
......@@ -169,7 +174,7 @@ class Trainer(object):
def which_cluster_type(self):
cluster_type = os.getenv("PADDLEREC_CLUSTER_TYPE", "MPI")
print("PADDLEREC_CLUSTER_TYPE: {}".format(cluster_type))
logger.info("PADDLEREC_CLUSTER_TYPE: {}".format(cluster_type))
if cluster_type and cluster_type.upper() == "K8S":
self._context["cluster_type"] = "K8S"
else:
......@@ -184,7 +189,7 @@ class Trainer(object):
self.is_infer = False
else:
self.is_infer = True
print("Executor Mode: {}".format(executor_mode))
logger.info("Executor Mode: {}".format(executor_mode))
self._context["is_infer"] = self.is_infer
def legality_check(self):
......@@ -224,7 +229,7 @@ class Trainer(object):
Return:
None, just sleep in base
"""
print('unknow context_status:%s, do nothing' % context['status'])
logger.info('unknow context_status:%s, do nothing' % context['status'])
time.sleep(60)
def handle_processor_exception(self, context, exception):
......@@ -233,9 +238,10 @@ class Trainer(object):
Return:
bool exit_app or not
"""
print("\n--------------------------------\nPaddleRec Error Message "
"Summary:\n--------------------------------\n")
print(
logger.info(
"\n--------------------------------\nPaddleRec Error Message "
"Summary:\n--------------------------------\n")
logger.info(
'Exit PaddleRec. catch exception in precoss status: [%s], except: %s'
% (context['status'], str(exception)))
return True
......@@ -258,7 +264,7 @@ class Trainer(object):
break
except Exception as err:
traceback.print_exc()
print('Catch Exception:%s' % str(err))
logger.info('Catch Exception:%s' % str(err))
sys.stdout.flush()
self.handle_processor_exception(self._context, err)
sys.exit(type(err).__name__)
core/trainers/finetuning_trainer.py
浏览文件 @ 457f693c
......@@ -34,7 +34,7 @@ class FineTuningTrainer(Trainer):
self.runner_env_name = "runner." + self._context["runner_name"]
def processor_register(self):
print("processor_register begin")
logger.info("processor_register begin")
self.regist_context_processor('uninit', self.instance)
self.regist_context_processor('network_pass', self.network)
self.regist_context_processor('startup_pass', self.startup)
......
core/trainers/framework/dataset.py
浏览文件 @ 457f693c
......@@ -15,6 +15,7 @@
from __future__ import print_function
import os
import logging
import paddle.fluid as fluid
from paddlerec.core.utils import envs
......@@ -25,6 +26,10 @@ from paddlerec.core.utils.util import split_files, check_filelist
__all__ = ["DatasetBase", "DataLoader", "QueueDataset"]
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
class DatasetBase(object):
"""R
......@@ -83,7 +88,8 @@ class QueueDataset(DatasetBase):
name = "dataset." + dataset_name + "."
type_name = envs.get_global_env(name + "type")
if envs.get_platform() != "LINUX":
print("platform ", envs.get_platform(), "Reader To Dataloader")
logger.info("platform ",
envs.get_platform(), "Reader To Dataloader")
type_name = "DataLoader"
if type_name == "DataLoader":
......@@ -126,7 +132,7 @@ class QueueDataset(DatasetBase):
data_file_list=[],
train_data_path=train_data_path)
if (hidden_file_list is not None):
print(
logger.info(
"Warning:please make sure there are no hidden files in the dataset folder and check these hidden files:{}".
format(hidden_file_list))
......@@ -143,7 +149,7 @@ class QueueDataset(DatasetBase):
if need_split_files:
file_list = split_files(file_list, context["fleet"].worker_index(),
context["fleet"].worker_num())
print("File_list: {}".format(file_list))
logger.info("File_list: {}".format(file_list))
dataset.set_filelist(file_list)
for model_dict in context["phases"]:
......
core/trainers/framework/instance.py
浏览文件 @ 457f693c
......@@ -15,6 +15,7 @@
from __future__ import print_function
import warnings
import logging
import paddle.fluid as fluid
from paddlerec.core.utils import envs
......@@ -24,6 +25,10 @@ __all__ = [
"CollectiveInstance"
]
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
class InstanceBase(object):
"""R
......@@ -38,7 +43,7 @@ class InstanceBase(object):
class SingleInstance(InstanceBase):
def __init__(self, context):
print("Running SingleInstance.")
logger.info("Running SingleInstance.")
pass
def instance(self, context):
......@@ -47,7 +52,7 @@ class SingleInstance(InstanceBase):
class PSInstance(InstanceBase):
def __init__(self, context):
print("Running PSInstance.")
logger.info("Running PSInstance.")
pass
def instance(self, context):
......@@ -61,7 +66,7 @@ class PSInstance(InstanceBase):
class PslibInstance(InstanceBase):
def __init__(self, context):
print("Running PslibInstance.")
logger.info("Running PslibInstance.")
pass
def instance(self, context):
......@@ -73,7 +78,7 @@ class PslibInstance(InstanceBase):
class CollectiveInstance(InstanceBase):
def __init__(self, context):
print("Running CollectiveInstance.")
logger.info("Running CollectiveInstance.")
pass
def instance(self, context):
......
core/trainers/framework/network.py
浏览文件 @ 457f693c
......@@ -16,6 +16,7 @@ from __future__ import print_function
import os
import warnings
import logging
import paddle.fluid as fluid
from paddlerec.core.utils import envs
......@@ -26,6 +27,10 @@ __all__ = [
"CollectiveNetwork", "FineTuningNetwork"
]
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
class NetworkBase(object):
"""R
......@@ -43,7 +48,7 @@ class SingleNetwork(NetworkBase):
"""
def __init__(self, context):
print("Running SingleNetwork.")
logger.info("Running SingleNetwork.")
pass
def build_network(self, context):
......@@ -114,7 +119,7 @@ class FineTuningNetwork(NetworkBase):
"""
def __init__(self, context):
print("Running FineTuningNetwork.")
logger.info("Running FineTuningNetwork.")
def build_network(self, context):
context["model"] = {}
......@@ -193,7 +198,7 @@ class FineTuningNetwork(NetworkBase):
class PSNetwork(NetworkBase):
def __init__(self, context):
print("Running PSNetwork.")
logger.info("Running PSNetwork.")
pass
def build_network(self, context):
......@@ -285,7 +290,7 @@ class PSNetwork(NetworkBase):
class PslibNetwork(NetworkBase):
def __init__(self, context):
print("Running PslibNetwork.")
logger.info("Running PslibNetwork.")
pass
def build_network(self, context):
......@@ -357,7 +362,7 @@ class PslibNetwork(NetworkBase):
class CollectiveNetwork(NetworkBase):
def __init__(self, context):
print("Running CollectiveNetwork.")
logger.info("Running CollectiveNetwork.")
pass
def build_network(self, context):
......
core/trainers/framework/runner.py
浏览文件 @ 457f693c
......@@ -17,6 +17,7 @@ from __future__ import print_function
import os
import time
import warnings
import logging
import numpy as np
import paddle.fluid as fluid
......@@ -27,6 +28,10 @@ __all__ = [
"RunnerBase", "SingleRunner", "PSRunner", "CollectiveRunner", "PslibRunner"
]
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
def as_numpy(tensor):
"""
......@@ -169,7 +174,7 @@ class RunnerBase(object):
metrics.extend(metrics_rets)
if batch_id % fetch_period == 0 and batch_id != 0:
print(metrics_format.format(*metrics))
logger.info(metrics_format.format(*metrics))
batch_id += 1
except fluid.core.EOFException:
reader.reset()
......@@ -365,7 +370,7 @@ class SingleRunner(RunnerBase):
"""
def __init__(self, context):
print("Running SingleRunner.")
logger.info("Running SingleRunner.")
pass
def run(self, context):
......@@ -381,7 +386,7 @@ class SingleRunner(RunnerBase):
result = self._run(context, model_dict)
end_time = time.time()
seconds = end_time - begin_time
message = "epoch {} done, use time: {}".format(epoch, seconds)
message = "epoch {} done, use time: {}s".format(epoch, seconds)
metrics_result = []
for key in metrics:
if isinstance(metrics[key], Metric):
......@@ -394,7 +399,7 @@ class SingleRunner(RunnerBase):
metrics_result.append(_str)
if len(metrics_result) > 0:
message += ", global metrics: " + ", ".join(metrics_result)
print(message)
logger.info(message)
with fluid.scope_guard(context["model"][model_dict["name"]][
"scope"]):
......@@ -409,7 +414,7 @@ class SingleRunner(RunnerBase):
class PSRunner(RunnerBase):
def __init__(self, context):
print("Running PSRunner.")
logger.info("Running PSRunner.")
pass
def run(self, context):
......@@ -424,7 +429,7 @@ class PSRunner(RunnerBase):
result = self._run(context, model_dict)
end_time = time.time()
seconds = end_time - begin_time
message = "epoch {} done, use time: {}".format(epoch, seconds)
message = "epoch {} done, use time: {}s".format(epoch, seconds)
# TODO, wait for PaddleCloudRoleMaker supports gloo
from paddle.fluid.incubate.fleet.base.role_maker import GeneralRoleMaker
......@@ -442,7 +447,7 @@ class PSRunner(RunnerBase):
metrics_result.append(_str)
if len(metrics_result) > 0:
message += ", global metrics: " + ", ".join(metrics_result)
print(message)
logger.info(message)
with fluid.scope_guard(context["model"][model_dict["name"]][
"scope"]):
train_prog = context["model"][model_dict["name"]][
......@@ -456,7 +461,7 @@ class PSRunner(RunnerBase):
class CollectiveRunner(RunnerBase):
def __init__(self, context):
print("Running CollectiveRunner.")
logger.info("Running CollectiveRunner.")
pass
def run(self, context):
......@@ -469,7 +474,7 @@ class CollectiveRunner(RunnerBase):
self._run(context, model_dict)
end_time = time.time()
seconds = end_time - begin_time
print("epoch {} done, use time: {}".format(epoch, seconds))
logger.info("epoch {} done, use time: {}s".format(epoch, seconds))
with fluid.scope_guard(context["model"][model_dict["name"]][
"scope"]):
train_prog = context["model"][model_dict["name"]][
......@@ -483,7 +488,7 @@ class CollectiveRunner(RunnerBase):
class PslibRunner(RunnerBase):
def __init__(self, context):
print("Running PSRunner.")
logger.info("Running PSRunner.")
pass
def run(self, context):
......@@ -497,7 +502,7 @@ class PslibRunner(RunnerBase):
self._run(context, model_dict)
end_time = time.time()
seconds = end_time - begin_time
print("epoch {} done, use time: {}".format(epoch, seconds))
logger.info("epoch {} done, use time: {}s".format(epoch, seconds))
"""
# online Training Can do more, As shown below:
......@@ -527,7 +532,7 @@ class PslibRunner(RunnerBase):
self._run(context, model_dict)
end_time = time.time()
seconds = end_time - begin_time
print("epoch {} done, use time: {}".format(epoch, seconds))
logger.info("epoch {} done, use time: {}".format(epoch, seconds))
with fluid.scope_guard(context["model"][model_dict["name"]]
["scope"]):
train_prog = context["model"][model_dict["name"]][
......@@ -543,7 +548,7 @@ class PslibRunner(RunnerBase):
class SingleInferRunner(RunnerBase):
def __init__(self, context):
print("Running SingleInferRunner.")
logger.info("Running SingleInferRunner.")
pass
def run(self, context):
......@@ -559,7 +564,7 @@ class SingleInferRunner(RunnerBase):
result = self._run(context, model_dict)
end_time = time.time()
seconds = end_time - begin_time
message = "Infer {} of epoch {} done, use time: {}".format(
message = "Infer {} of epoch {} done, use time: {}s".format(
model_dict["name"], epoch_name, seconds)
metrics_result = []
for key in metrics:
......@@ -573,14 +578,14 @@ class SingleInferRunner(RunnerBase):
metrics_result.append(_str)
if len(metrics_result) > 0:
message += ", global metrics: " + ", ".join(metrics_result)
print(message)
logger.info(message)
context["status"] = "terminal_pass"
def _load(self, context, model_dict, model_path):
if model_path is None or model_path == "":
return
print("load persistables from", model_path)
logger.info("load persistables from", model_path)
with fluid.scope_guard(context["model"][model_dict["name"]]["scope"]):
train_prog = context["model"][model_dict["name"]]["main_program"]
......
core/trainers/framework/startup.py
浏览文件 @ 457f693c
......@@ -15,6 +15,7 @@
from __future__ import print_function
import warnings
import logging
import paddle.fluid as fluid
import paddle.fluid.core as core
......@@ -25,6 +26,10 @@ __all__ = [
"FineTuningStartup"
]
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
class StartupBase(object):
"""R
......@@ -41,10 +46,10 @@ class StartupBase(object):
"runner." + context["runner_name"] + ".init_model_path", None)
if dirname is None or dirname == "":
return
print("going to load ", dirname)
logger.info("going to load ", dirname)
fluid.io.load_persistables(
context["exe"], dirname, main_program=main_program)
print("load from {} success".format(dirname))
logger.info("load from {} success".format(dirname))
class SingleStartup(StartupBase):
......@@ -52,7 +57,7 @@ class SingleStartup(StartupBase):
"""
def __init__(self, context):
print("Running SingleStartup.")
logger.info("Running SingleStartup.")
pass
def startup(self, context):
......@@ -79,7 +84,7 @@ class FineTuningStartup(StartupBase):
self.self.op_role_var_attr_name = core.op_proto_and_checker_maker.kOpRoleVarAttrName(
)
print("Running SingleStartup.")
logger.info("Running SingleStartup.")
def _is_opt_role_op(self, op):
# NOTE: depend on oprole to find out whether this op is for
......@@ -155,7 +160,7 @@ class FineTuningStartup(StartupBase):
"runner." + context["runner_name"] + ".init_model_path", None)
if dirname is None or dirname == "":
return
print("going to load ", dirname)
logger.info("going to load ", dirname)
params_grads = self._get_params_grads(main_program)
update_params = [p for p, _ in params_grads]
......@@ -169,7 +174,7 @@ class FineTuningStartup(StartupBase):
fluid.io.load_vars(context["exe"], dirname, main_program,
need_load_vars)
print("load from {} success".format(dirname))
logger.info("load from {} success".format(dirname))
def startup(self, context):
for model_dict in context["phases"]:
......@@ -187,7 +192,7 @@ class FineTuningStartup(StartupBase):
class PSStartup(StartupBase):
def __init__(self, context):
print("Running PSStartup.")
logger.info("Running PSStartup.")
pass
def startup(self, context):
......@@ -204,7 +209,7 @@ class PSStartup(StartupBase):
class CollectiveStartup(StartupBase):
def __init__(self, context):
print("Running CollectiveStartup.")
logger.info("Running CollectiveStartup.")
pass
def startup(self, context):
......@@ -222,7 +227,7 @@ class CollectiveStartup(StartupBase):
class SingleInferStartup(StartupBase):
def __init__(self, context):
print("Running SingleInferStartup.")
logger.info("Running SingleInferStartup.")
pass
def startup(self, context):
......
core/trainers/framework/terminal.py
浏览文件 @ 457f693c
......@@ -15,12 +15,17 @@
from __future__ import print_function
import warnings
import logging
import paddle.fluid as fluid
from paddlerec.core.utils import envs
__all__ = ["TerminalBase", "PSTerminalBase"]
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
class TerminalBase(object):
"""R
......@@ -30,7 +35,7 @@ class TerminalBase(object):
pass
def terminal(self, context):
print("PaddleRec Finish")
logger.info("PaddleRec Finish")
class PSTerminal(TerminalBase):
......@@ -42,4 +47,4 @@ class PSTerminal(TerminalBase):
def terminal(self, context):
context["fleet"].stop_worker()
print("PaddleRec Finish")
logger.info("PaddleRec Finish")
core/trainers/general_trainer.py
浏览文件 @ 457f693c
......@@ -17,10 +17,15 @@ General Trainer, applicable to many situations: Single/Cluster/Local_Cluster + P
from __future__ import print_function
import os
import logging
from paddlerec.core.utils import envs
from paddlerec.core.trainer import Trainer, EngineMode, FleetMode
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class GeneralTrainer(Trainer):
"""
......@@ -34,7 +39,7 @@ class GeneralTrainer(Trainer):
self.runner_env_name = "runner." + self._context["runner_name"]
def processor_register(self):
print("processor_register begin")
logger.info("processor_register begin")
self.regist_context_processor('uninit', self.instance)
self.regist_context_processor('network_pass', self.network)
self.regist_context_processor('startup_pass', self.startup)
......
core/utils/dataloader_instance.py
浏览文件 @ 457f693c
......@@ -14,6 +14,7 @@
from __future__ import print_function
import os
import logging
from paddlerec.core.utils.envs import lazy_instance_by_fliename
from paddlerec.core.utils.envs import get_global_env
from paddlerec.core.utils.envs import get_runtime_environ
......@@ -21,6 +22,10 @@ from paddlerec.core.reader import SlotReader
from paddlerec.core.trainer import EngineMode
from paddlerec.core.utils.util import split_files, check_filelist
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def dataloader_by_name(readerclass,
dataset_name,
......@@ -41,7 +46,7 @@ def dataloader_by_name(readerclass,
hidden_file_list, files = check_filelist(
hidden_file_list=[], data_file_list=[], train_data_path=data_path)
if (hidden_file_list is not None):
print(
logger.info(
"Warning:please make sure there are no hidden files in the dataset folder and check these hidden files:{}".
format(hidden_file_list))
......@@ -55,7 +60,7 @@ def dataloader_by_name(readerclass,
"cluster_type"] == "K8S":
# for k8s mount mode, split files for every node
need_split_files = True
print("need_split_files: {}".format(need_split_files))
logger.info("need_split_files: {}".format(need_split_files))
if need_split_files:
files = split_files(files, context["fleet"].worker_index(),
context["fleet"].worker_num())
......@@ -103,7 +108,7 @@ def slotdataloader_by_name(readerclass, dataset_name, yaml_file, context):
hidden_file_list, files = check_filelist(
hidden_file_list=[], data_file_list=[], train_data_path=data_path)
if (hidden_file_list is not None):
print(
logger.info(
"Warning:please make sure there are no hidden files in the dataset folder and check these hidden files:{}".
format(hidden_file_list))
......@@ -173,7 +178,7 @@ def slotdataloader(readerclass, train, yaml_file, context):
hidden_file_list, files = check_filelist(
hidden_file_list=[], data_file_list=[], train_data_path=data_path)
if (hidden_file_list is not None):
print(
logger.info(
"Warning:please make sure there are no hidden files in the dataset folder and check these hidden files:{}".
format(hidden_file_list))
......
core/utils/dataset_holder.py
浏览文件 @ 457f693c
......@@ -15,12 +15,17 @@
import abc
import datetime
import time
import logging
import paddle.fluid as fluid
from paddlerec.core.utils import fs as fs
from paddlerec.core.utils import util as util
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
class DatasetHolder(object):
"""
......@@ -187,7 +192,7 @@ class TimeSplitDatasetHolder(DatasetHolder):
windown_min = params['time_window_min']
if begin_time not in self._datasets:
while self.check_ready(begin_time, windown_min) == False:
print("dataset not ready, time:" + begin_time)
logger.info("dataset not ready, time:" + begin_time)
time.sleep(30)
file_list = self.get_file_list(begin_time, windown_min,
params['node_num'],
......
core/utils/envs.py
浏览文件 @ 457f693c
......@@ -21,6 +21,12 @@ import sys
import six
import traceback
import six
import time
import logging
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger()
logger.setLevel(logging.INFO)
global_envs = {}
global_envs_flatten = {}
......@@ -104,7 +110,7 @@ def set_global_envs(envs):
global_envs[name] = "DataLoader"
if get_platform() == "LINUX" and six.PY3:
print("QueueDataset can not support PY3, change to DataLoader")
logger.info("QueueDataset can not support PY3, change to DataLoader")
for dataset in envs["dataset"]:
name = ".".join(["dataset", dataset["name"], "type"])
global_envs[name] = "DataLoader"
......@@ -207,7 +213,7 @@ def lazy_instance_by_package(package, class_name):
return instance
except Exception as err:
traceback.print_exc()
print('Catch Exception:%s' % str(err))
logger.info('Catch Exception:%s' % str(err))
return None
......@@ -223,7 +229,7 @@ def lazy_instance_by_fliename(abs, class_name):
return instance
except Exception as err:
traceback.print_exc()
print('Catch Exception:%s' % str(err))
logger.info('Catch Exception:%s' % str(err))
return None
......
core/utils/fs.py
浏览文件 @ 457f693c
......@@ -13,9 +13,15 @@
# limitations under the License.
import os
import time
import logging
from paddle.fluid.incubate.fleet.utils.hdfs import HDFSClient
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def is_afs_path(path):
"""is_afs_path
......@@ -177,4 +183,4 @@ class FileHandler(object):
return self._hdfs_client.upload(dest_path, org_path)
if org_is_afs and not dest_is_afs:
return self._hdfs_client.download(org_path, dest_path)
print("Not Suppor hdfs cp currently")
logger.info("Not Suppor hdfs cp currently")
core/utils/util.py
浏览文件 @ 457f693c
......@@ -16,9 +16,14 @@ import datetime
import os
import sys
import time
import logging
import numpy as np
from paddle import fluid
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
def save_program_proto(path, program=None):
if program is None:
......@@ -146,9 +151,9 @@ def print_log(log_str, params):
log_str = time_str + " " + log_str
if 'master' in params and params['master']:
if 'index' in params and params['index'] == 0:
print(log_str)
logger.info(log_str)
else:
print(log_str)
logger.info(log_str)
sys.stdout.flush()
if 'stdout' in params:
params['stdout'] += log_str + '\n'
......
core/utils/validation.py
浏览文件 @ 457f693c
......@@ -12,8 +12,14 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import time
import logging
from paddlerec.core.utils import envs
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class ValueFormat:
def __init__(self, value_type, value, value_handler, required=False):
......@@ -41,64 +47,67 @@ class ValueFormat:
def is_type_valid(self, name, value):
if self.value_type == "int":
if not isinstance(value, int):
print("\nattr {} should be int, but {} now\n".format(
logger.info("\nattr {} should be int, but {} now\n".format(
name, type(value)))
return False
return True
elif self.value_type == "str":
if not isinstance(value, str):
print("\nattr {} should be str, but {} now\n".format(
logger.info("\nattr {} should be str, but {} now\n".format(
name, type(value)))
return False
return True
elif self.value_type == "strs":
if not isinstance(value, list):
print("\nattr {} should be list(str), but {} now\n".format(
name, type(value)))
logger.info("\nattr {} should be list(str), but {} now\n".
format(name, type(value)))
return False
for v in value:
if not isinstance(v, str):
print("\nattr {} should be list(str), but list({}) now\n".
format(name, type(v)))
logger.info(
"\nattr {} should be list(str), but list({}) now\n".
format(name, type(v)))
return False
return True
elif self.value_type == "dict":
if not isinstance(value, dict):
print("\nattr {} should be str, but {} now\n".format(
logger.info("\nattr {} should be str, but {} now\n".format(
name, type(value)))
return False
return True
elif self.value_type == "dicts":
if not isinstance(value, list):
print("\nattr {} should be list(dist), but {} now\n".format(
name, type(value)))
logger.info("\nattr {} should be list(dist), but {} now\n".
format(name, type(value)))
return False
for v in value:
if not isinstance(v, dict):
print("\nattr {} should be list(dist), but list({}) now\n".
format(name, type(v)))
logger.info(
"\nattr {} should be list(dist), but list({}) now\n".
format(name, type(v)))
return False
return True
elif self.value_type == "ints":
if not isinstance(value, list):
print("\nattr {} should be list(int), but {} now\n".format(
name, type(value)))
logger.info("\nattr {} should be list(int), but {} now\n".
format(name, type(value)))
return False
for v in value:
if not isinstance(v, int):
print("\nattr {} should be list(int), but list({}) now\n".
format(name, type(v)))
logger.info(
"\nattr {} should be list(int), but list({}) now\n".
format(name, type(v)))
return False
return True
else:
print("\nattr {}'s type is {}, can not be supported now\n".format(
name, type(value)))
logger.info("\nattr {}'s type is {}, can not be supported now\n".
format(name, type(value)))
return False
def is_value_valid(self, name, value):
......@@ -108,7 +117,7 @@ class ValueFormat:
def in_value_handler(name, value, values):
if value not in values:
print("\nattr {}'s value is {}, but {} is expected\n".format(
logger.info("\nattr {}'s value is {}, but {} is expected\n".format(
name, value, values))
return False
return True
......@@ -116,7 +125,7 @@ def in_value_handler(name, value, values):
def eq_value_handler(name, value, values):
if value != values:
print("\nattr {}'s value is {}, but == {} is expected\n".format(
logger.info("\nattr {}'s value is {}, but == {} is expected\n".format(
name, value, values))
return False
return True
......@@ -124,7 +133,7 @@ def eq_value_handler(name, value, values):
def ge_value_handler(name, value, values):
if value < values:
print("\nattr {}'s value is {}, but >= {} is expected\n".format(
logger.info("\nattr {}'s value is {}, but >= {} is expected\n".format(
name, value, values))
return False
return True
......@@ -132,7 +141,7 @@ def ge_value_handler(name, value, values):
def le_value_handler(name, value, values):
if value > values:
print("\nattr {}'s value is {}, but <= {} is expected\n".format(
logger.info("\nattr {}'s value is {}, but <= {} is expected\n".format(
name, value, values))
return False
return True
......@@ -160,8 +169,8 @@ def yaml_validation(config):
for required in require_checkers:
if required not in _config.keys():
print("\ncan not find {} in yaml, which is required\n".format(
required))
logger.info("\ncan not find {} in yaml, which is required\n".
format(required))
return False
for name, value in _config.items():
......
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