def _make_portal_worker(self):
portal_worker_options = dp_pb.DataPortalWorkerOptions(
raw_data_options=dj_pb.RawDataOptions(raw_data_iter="TF_RECORD",
compressed_type=''),
writer_options=dj_pb.WriterOptions(output_writer="TF_RECORD"),
batch_processor_options=dj_pb.BatchProcessorOptions(
batch_size=128, max_flying_item=300000),
merge_buffer_size=4096,
merger_read_ahead_size=1000000)
self._portal_worker = DataPortalWorker(portal_worker_options,
"localhost:5005", 0,
"test_portal_worker_0",
"portal_worker_0",
"localhost:2379", True)
def _make_portal_worker(self):
portal_worker_options = dp_pb.DataPortalWorkerOptions(
raw_data_options=dj_pb.RawDataOptions(raw_data_iter="TF_RECORD",
read_ahead_size=1 << 20,
read_batch_size=128),
writer_options=dj_pb.WriterOptions(output_writer="TF_RECORD"),
batch_processor_options=dj_pb.BatchProcessorOptions(
batch_size=128, max_flying_item=300000),
merger_read_ahead_size=1000000,
merger_read_batch_size=128)
self._portal_worker = DataPortalWorker(portal_worker_options,
"localhost:5005", 0,
"test_portal_worker_0",
"portal_worker_0",
"localhost:2379", "test_user",
"test_password", True)
def _make_portal_worker(self, raw_data_iter, validation_ratio):
portal_worker_options = dp_pb.DataPortalWorkerOptions(
raw_data_options=dj_pb.RawDataOptions(
raw_data_iter=raw_data_iter,
read_ahead_size=1 << 20,
read_batch_size=128,
optional_fields=['label'],
validation_ratio=validation_ratio,
),
writer_options=dj_pb.WriterOptions(output_writer="TF_RECORD"),
batch_processor_options=dj_pb.BatchProcessorOptions(
batch_size=128, max_flying_item=300000),
merger_read_ahead_size=1000000,
merger_read_batch_size=128)
os.environ['ETCD_BASE_DIR'] = "portal_worker_0"
self._portal_worker = DataPortalWorker(portal_worker_options,
"localhost:5005", 0, "etcd",
True)
set_logger()
if args.input_data_file_iter == 'TF_RECORD' or \
args.output_builder == 'TF_RECORD':
import tensorflow
tensorflow.compat.v1.enable_eager_execution()
optional_fields = list(
field for field in map(str.strip, args.optional_fields.split(','))
if field != '')
portal_worker_options = dp_pb.DataPortalWorkerOptions(
raw_data_options=dj_pb.RawDataOptions(
raw_data_iter=args.input_data_file_iter,
compressed_type=args.compressed_type,
read_ahead_size=args.read_ahead_size,
read_batch_size=args.read_batch_size,
optional_fields=optional_fields),
writer_options=dj_pb.WriterOptions(
output_writer=args.output_builder,
compressed_type=args.builder_compressed_type),
batch_processor_options=dj_pb.BatchProcessorOptions(
batch_size=args.batch_size, max_flying_item=-1),
merger_read_ahead_size=args.merger_read_ahead_size,
merger_read_batch_size=args.merger_read_batch_size,
memory_limit_ratio=args.memory_limit_ratio / 100)
data_portal_worker = DataPortalWorker(portal_worker_options,
args.master_addr, args.rank_id,
args.kvstore_type,
(args.kvstore_type == 'mock'))
data_portal_worker.start()
help='the builder for ouput file')
parser.add_argument("--batch_size", type=int, default=1024,
help="the batch size for raw data reader")
parser.add_argument("--max_flying_item", type=int, default=1048576,
help='the maximum items processed at the same time')
args = parser.parse_args()
portal_worker_options = dp_pb.DataPortalWorkerOptions(
raw_data_options=dj_pb.RawDataOptions(
raw_data_iter=args.input_data_file_iter,
compressed_type=args.compressed_type
),
writer_options=dj_pb.WriterOptions(
output_writer=args.output_builder,
compressed_type=args.builder_compressed_type
),
batch_processor_options=dj_pb.BatchProcessorOptions(
batch_size=args.batch_size,
max_flying_item=args.max_flying_item
),
merge_buffer_size=args.merge_buffer_size,
write_buffer_size=args.write_buffer_size,
merger_read_ahead_size=args.merger_read_ahead_size
)
data_portal_worker = DataPortalWorker(
portal_worker_options, args.master_addr,
args.rank_id, args.etcd_name, args.etcd_base_dir,
args.etcd_addrs, args.use_mock_etcd
)
data_portal_worker.start()
